Datasets:
Add manifests, eval harness (Claude Opus 5 / Bedrock), generation results
Browse files- README.md +95 -0
- bench_t2v_camera_time/manifest.json +0 -0
- bench_t2v_camera_time/results.jsonl +160 -0
- bench_t2v_camera_time/score_claude.py +267 -0
- bench_t2v_camera_time/summarize.py +98 -0
- bench_t2v_space/manifest_usa.json +728 -0
- bench_t2v_space/manifest_worldwide.json +1256 -0
- bench_t2v_space/score_claude.py +261 -0
- bench_t2v_space/summarize.py +94 -0
- bench_t2v_space/usa/results.jsonl +59 -0
- bench_t2v_space/worldwide/results.jsonl +103 -0
- bench_t2v_space_comprehensive/manifest.json +1390 -0
- bench_t2v_space_comprehensive/results.jsonl +137 -0
- bench_t2v_space_comprehensive/score_claude.py +259 -0
- bench_t2v_space_comprehensive/summarize.py +94 -0
- bench_t2v_time_comprehensive/manifest.json +0 -0
- bench_t2v_time_comprehensive/results.jsonl +200 -0
- bench_t2v_time_comprehensive/score_claude.py +263 -0
- bench_t2v_time_comprehensive/summarize.py +92 -0
README.md
ADDED
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---
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license: other
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task_categories:
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- text-to-video
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tags:
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- text-to-video
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- video-generation
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- benchmark
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- evaluation
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- world-model
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size_categories:
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- n<1K
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---
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# omini_time_space_eval
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Text-to-video benchmark suite probing whether a video world model represents
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**time**, **space**, and **camera control** — 659 generated clips across four
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benchmarks, with the prompts that produced them and the eval harness that
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scores them.
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| Bench | Items | What it tests |
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|---|---:|---|
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| `bench_t2v_time_comprehensive` | 200 | Time/weather transitions (20 variants incl. non-monotonic day→night→day) over outdoor scenes |
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| `bench_t2v_space` | 162 | Grounded knowledge of specific real-world places, each anchored to a real Wikimedia reference photo (103 worldwide + 59 USA) |
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| `bench_t2v_space_comprehensive` | 137 | Same space axis, hand-curated from 97 countries, no reference photo |
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| `bench_t2v_camera_time` | 160 | Instructed camera motion (8 types) crossed with time/weather transition (20 variants) — full 8×20 grid, no confounds |
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## Layout
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```
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bench_t2v_camera_time/
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manifest.json prompts + per-item metadata
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results.jsonl generation status/timing per item
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videos/*.mp4 the generated clips
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score_claude.py the eval judge
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summarize.py aggregation
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bench_t2v_space/
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manifest_worldwide.json, manifest_usa.json
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{worldwide,usa}/results.jsonl
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{worldwide,usa}/videos/*.mp4
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score_claude.py, summarize.py
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...
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```
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Note the eval scripts' default `--manifest` / `--videos-dir` values point at the
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layout of the original working tree (`outputs/videos/`), not this repo's
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flattened layout — pass both flags explicitly when running against these files.
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## Evaluation
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`score_claude.py` is the only judge: it samples 8 frames evenly across each clip,
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downscales them to 768px on the long edge, and sends them to **Claude Opus 5 on
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Amazon Bedrock** with a per-bench rubric (each axis scored 0–10).
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| Bench | Axes | Pass criteria |
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|---|---|---|
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| `bench_t2v_camera_time` | `time_alignment`, `camera_motion`, `quality`, `smoothness` | ≥8, ≥6, ≥7 |
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| `bench_t2v_space`, `bench_t2v_space_comprehensive` | `alignment`, `quality`, `smoothness` | ≥8, ≥7 |
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| `bench_t2v_time_comprehensive` | `time_alignment`, `quality`, `smoothness` | ≥8, ≥7 |
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```bash
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pip install 'anthropic[bedrock]'
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export AWS_REGION=us-east-1 # region where Claude Opus 5 is enabled
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python score_claude.py --manifest manifest.json --videos-dir videos --out-dir .
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python summarize.py --out-dir .
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```
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`score_claude.py` is resumable (skips ids already in `claude_scores.jsonl`) and
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concurrent (`--concurrency`, default 4). `summarize.py` writes `scores.jsonl`
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and `summary.json`.
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**Score files are not yet included in this release** — the harness is published
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here, the results will be added in a later revision.
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## Provenance and licensing
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Please read before reuse:
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- **Videos** are generated by an internal `Cosmos3-Nano` checkpoint served
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through a modified vLLM; they are model outputs, not captured footage.
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- **Prompts** in the time/camera benches derive scene descriptions from
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**PAI-Bench-G** captions (`t2v_prompts.json`, outdoor subset). The
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`image_name` field carries the source identifier. PAI-Bench-G's own license
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governs reuse of that derived text.
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- **`ref_image` paths** in the space manifests point at Wikimedia Commons photos
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that are **not redistributed here** — only the relative filename and the
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`source_url` are included. Each such photo carries its own CC license; fetch
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and attribute individually if you need them.
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- Clips depict real landmarks. They are synthetic generations, not photographs
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of those places.
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The `license: other` tag reflects that the components above carry different
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terms; there is no single blanket license for this repository.
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bench_t2v_camera_time/manifest.json
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The diff for this file is too large to render.
See raw diff
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bench_t2v_camera_time/results.jsonl
ADDED
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| 1 |
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{"id": "misc_13384969_3840_2160_25fps__dolly_out__sunset", "started_at": 1786317284.4067047, "status": "ok", "bytes": 12385591, "inference_s": "204.838", "wall_s": 204.9}
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| 2 |
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{"id": "misc_13019576_3840_2160_25fps__pan_left__mist_burns_off", "started_at": 1786317489.2715325, "status": "ok", "bytes": 5345296, "inference_s": "203.044", "wall_s": 203.1}
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| 3 |
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{"id": "av_1ff8aea6-13ec-49c9-877d-54f287179065__dolly_in__fog_rolls_in", "started_at": 1786317692.3305848, "status": "ok", "bytes": 4791316, "inference_s": "202.952", "wall_s": 203.0}
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| 4 |
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{"id": "av_5f567f79-4dd0-413d-a81a-2607684decf2__tilt_down_reveal__heat_haze_shimmer", "started_at": 1786318173.3426347, "status": "ok", "bytes": 7354064, "inference_s": "204.653", "wall_s": 204.7}
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| 5 |
+
{"id": "common_sense_15410300-1cb3-47b5-a005-0cb4a909ea27__tilt_up_reveal__thunderstorm_lightning", "started_at": 1786318378.0164382, "status": "ok", "bytes": 15399360, "inference_s": "203.257", "wall_s": 203.3}
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| 6 |
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{"id": "misc_2231485-uhd_3840_2160_24fps__pan_right__snow_starts", "started_at": 1786318581.3013463, "status": "ok", "bytes": 9853616, "inference_s": "203.066", "wall_s": 203.1}
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| 7 |
+
{"id": "common_sense_a9d91b4b-22e5-420e-b6de-e1d4e7f254f3__dolly_in__clouds_time_lapse", "started_at": 1786318784.3863535, "status": "ok", "bytes": 8165764, "inference_s": "202.926", "wall_s": 202.9}
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| 8 |
+
{"id": "av_8424d9ae-633f-4d72-90a4-18e9457ebd90__pan_left__rain_starts", "started_at": 1786318987.3279426, "status": "ok", "bytes": 9933020, "inference_s": "202.793", "wall_s": 202.8}
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| 9 |
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{"id": "misc_9699390-uhd_3840_2160_30fps__pan_right__sun_glare_to_overcast", "started_at": 1786319190.1385527, "status": "ok", "bytes": 10586788, "inference_s": "202.728", "wall_s": 202.7}
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| 10 |
+
{"id": "human_064__pan_left__clear_rain_clear", "started_at": 1786319392.8857625, "status": "ok", "bytes": 10579232, "inference_s": "202.733", "wall_s": 202.7}
|
| 11 |
+
{"id": "av_0d37d233-7254-4856-a391-f297633c6e66__dolly_out__hail_starts", "started_at": 1786319595.6353278, "status": "ok", "bytes": 7870218, "inference_s": "202.936", "wall_s": 203.0}
|
| 12 |
+
{"id": "human_008__tilt_up_reveal__sunset", "started_at": 1786319798.5868633, "status": "ok", "bytes": 8696863, "inference_s": "202.823", "wall_s": 202.8}
|
| 13 |
+
{"id": "common_sense_533202a3-3e2e-434f-bcea-55eb57e7bc89__pan_left__sun_glare_to_overcast", "started_at": 1786320001.4238079, "status": "ok", "bytes": 5448363, "inference_s": "202.916", "wall_s": 202.9}
|
| 14 |
+
{"id": "common_sense_718bca4c-3946-4f5b-8f82-3dbf4fba2252__pan_right__heat_haze_shimmer", "started_at": 1786320204.3498936, "status": "ok", "bytes": 4092989, "inference_s": "202.970", "wall_s": 203.0}
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| 15 |
+
{"id": "misc_1792980-hd_1280_720_30fps__dolly_in__blizzard", "started_at": 1786320407.330383, "status": "ok", "bytes": 8797717, "inference_s": "203.022", "wall_s": 203.0}
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| 16 |
+
{"id": "av_95b33268-1642-4661-a01d-33410927f497__dolly_in__rain_starts", "started_at": 1786320610.3670251, "status": "ok", "bytes": 4917755, "inference_s": "202.951", "wall_s": 203.0}
|
| 17 |
+
{"id": "misc_4707906-uhd_3840_2160_30fps__tracking_follow__storm_approaches", "started_at": 1786320813.328491, "status": "ok", "bytes": 10169824, "inference_s": "203.192", "wall_s": 203.2}
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| 18 |
+
{"id": "common_sense_5615fba1-5a19-4777-9a3f-6789ec6d3b1f__tilt_down_reveal__snow_starts", "started_at": 1786321016.5399191, "status": "ok", "bytes": 9448915, "inference_s": "202.990", "wall_s": 203.0}
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| 19 |
+
{"id": "av_5fcae1c8-318a-4561-8ea9-b36a54f175ba__tilt_down_reveal__noon_to_late_afternoon", "started_at": 1786321219.546068, "status": "ok", "bytes": 8716279, "inference_s": "203.084", "wall_s": 203.1}
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| 20 |
+
{"id": "av_35c11c3f-5f87-49c5-aeac-5e182bcab607__tracking_follow__hail_starts", "started_at": 1786321422.6437993, "status": "ok", "bytes": 10050179, "inference_s": "203.066", "wall_s": 203.1}
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| 21 |
+
{"id": "misc_854695-hd_1920_1080_30fps__pan_right__mist_burns_off", "started_at": 1786321625.726069, "status": "ok", "bytes": 6508619, "inference_s": "202.530", "wall_s": 202.5}
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| 22 |
+
{"id": "human_257__slow_orbit__clear_rain_clear", "started_at": 1786321828.2690027, "status": "ok", "bytes": 14225037, "inference_s": "203.311", "wall_s": 203.3}
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| 23 |
+
{"id": "human_137__slow_orbit__noon_to_late_afternoon", "started_at": 1786322031.6014528, "status": "ok", "bytes": 8123404, "inference_s": "203.115", "wall_s": 203.1}
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| 24 |
+
{"id": "misc_933704-uhd_3840_2160_30fps__tracking_follow__snow_starts", "started_at": 1786322234.7294395, "status": "ok", "bytes": 9249245, "inference_s": "203.200", "wall_s": 203.2}
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| 25 |
+
{"id": "human_188__tilt_up_reveal__fog_rolls_in", "started_at": 1786322437.9440386, "status": "ok", "bytes": 3079135, "inference_s": "202.984", "wall_s": 203.0}
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| 26 |
+
{"id": "av_7cbb4b89-f1ea-4c3a-9cc1-c6b90e6b0757__slow_orbit__blizzard", "started_at": 1786322640.9373066, "status": "ok", "bytes": 6509314, "inference_s": "203.117", "wall_s": 203.1}
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| 27 |
+
{"id": "common_sense_f0b512b6-145e-4d6d-88cb-8ff625e65d7d__dolly_out__clear_rain_clear", "started_at": 1786322844.06665, "status": "ok", "bytes": 12581534, "inference_s": "203.030", "wall_s": 203.0}
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| 28 |
+
{"id": "human_193__dolly_in__sun_glare_to_overcast", "started_at": 1786323047.1157959, "status": "ok", "bytes": 7052577, "inference_s": "202.960", "wall_s": 203.0}
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| 29 |
+
{"id": "common_sense_2e166ef8-062f-4b00-8fd3-e3276edc3367__tracking_follow__noon_to_late_afternoon", "started_at": 1786323250.088479, "status": "ok", "bytes": 8343225, "inference_s": "203.096", "wall_s": 203.1}
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| 30 |
+
{"id": "misc_13390461_1920_1080_30fps__tilt_down_reveal__mist_burns_off", "started_at": 1786323453.199056, "status": "ok", "bytes": 7438495, "inference_s": "202.976", "wall_s": 203.0}
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| 31 |
+
{"id": "av_cc23ce89-4d75-427d-80d1-bbe4334bb42f__tilt_up_reveal__snow_starts", "started_at": 1786323656.1885216, "status": "ok", "bytes": 8671526, "inference_s": "203.020", "wall_s": 203.0}
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| 32 |
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{"id": "misc_13280173_3840_2160_25fps__pan_left__heat_haze_shimmer", "started_at": 1786323859.2221227, "status": "ok", "bytes": 8643269, "inference_s": "202.935", "wall_s": 202.9}
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| 119 |
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{"id": "common_sense_7fc96768-1540-447f-9802-0bd3762d981e__dolly_in__clear_rain_clear", "started_at": 1786341523.8331158, "status": "ok", "bytes": 9746037, "inference_s": "203.158", "wall_s": 203.2}
|
| 120 |
+
{"id": "common_sense_b2507f85-47b2-4fca-9a49-d555130fdd2b__pan_right__dusk_golden_hour", "started_at": 1786341727.0061793, "status": "ok", "bytes": 8681299, "inference_s": "203.103", "wall_s": 203.1}
|
| 121 |
+
{"id": "common_sense_39719f83-403b-4cdd-8120-455e0a0b2456__pan_left__dusk_golden_hour", "started_at": 1786341930.12265, "status": "ok", "bytes": 6933384, "inference_s": "203.072", "wall_s": 203.1}
|
| 122 |
+
{"id": "av_495a2486-d039-46f9-86fd-4fdf8ec4ce24__pan_left__hail_starts", "started_at": 1786342133.2063737, "status": "ok", "bytes": 11950223, "inference_s": "203.176", "wall_s": 203.2}
|
| 123 |
+
{"id": "misc_2254244-uhd_3840_2160_24fps__dolly_out__clouds_time_lapse", "started_at": 1786342336.4001899, "status": "ok", "bytes": 11007583, "inference_s": "203.151", "wall_s": 203.2}
|
| 124 |
+
{"id": "common_sense_4877d08a-f295-469a-a5e7-3decf2319222__slow_orbit__sun_glare_to_overcast", "started_at": 1786342539.5674634, "status": "ok", "bytes": 8996582, "inference_s": "202.802", "wall_s": 202.8}
|
| 125 |
+
{"id": "av_2cdc6699-574f-40b7-9b5b-15905c540274__dolly_in__heat_haze_shimmer", "started_at": 1786342742.382851, "status": "ok", "bytes": 5519720, "inference_s": "203.005", "wall_s": 203.0}
|
| 126 |
+
{"id": "misc_13398218_3840_2160_60fps__dolly_out__rain_starts", "started_at": 1786342945.3974364, "status": "ok", "bytes": 8542282, "inference_s": "203.147", "wall_s": 203.2}
|
| 127 |
+
{"id": "common_sense_73c951a6-d5e3-4664-bd84-0598584e4a41__dolly_out__season_to_autumn", "started_at": 1786343148.557348, "status": "ok", "bytes": 9167563, "inference_s": "203.157", "wall_s": 203.2}
|
| 128 |
+
{"id": "human_259__tracking_follow__mist_burns_off", "started_at": 1786343351.7282016, "status": "ok", "bytes": 8303397, "inference_s": "202.652", "wall_s": 202.7}
|
| 129 |
+
{"id": "human_267__dolly_in__night_to_day", "started_at": 1786343554.392805, "status": "ok", "bytes": 9829366, "inference_s": "202.982", "wall_s": 203.0}
|
| 130 |
+
{"id": "common_sense_138a23f7-6f27-4122-b665-e0a90d7569c7__slow_orbit__sunset", "started_at": 1786343757.3889012, "status": "ok", "bytes": 6112774, "inference_s": "202.855", "wall_s": 202.9}
|
| 131 |
+
{"id": "misc_4829638-uhd_3840_2160_30fps__dolly_out__fog_rolls_in", "started_at": 1786343960.254618, "status": "ok", "bytes": 5722535, "inference_s": "202.773", "wall_s": 202.8}
|
| 132 |
+
{"id": "common_sense_a5548ead-579e-41a2-aa32-be89dbe2f3dd__tilt_up_reveal__season_to_autumn", "started_at": 1786344163.0378356, "status": "ok", "bytes": 9374382, "inference_s": "202.749", "wall_s": 202.8}
|
| 133 |
+
{"id": "human_254__tilt_up_reveal__hail_starts", "started_at": 1786344365.8001778, "status": "ok", "bytes": 13369101, "inference_s": "202.785", "wall_s": 202.8}
|
| 134 |
+
{"id": "misc_3191251-uhd_4096_2160_25fps__tilt_up_reveal__blizzard", "started_at": 1786344568.6030085, "status": "ok", "bytes": 11019991, "inference_s": "202.761", "wall_s": 202.8}
|
| 135 |
+
{"id": "common_sense_ac3f70b6-f5dc-4ef4-a390-2ae273dd3dbe__pan_right__night_to_day", "started_at": 1786344771.3800445, "status": "ok", "bytes": 7390394, "inference_s": "202.856", "wall_s": 202.9}
|
| 136 |
+
{"id": "av_0e77b38f-59d9-4e66-ba1e-e3d40c572060__dolly_out__sun_glare_to_overcast", "started_at": 1786344974.2504034, "status": "ok", "bytes": 11015708, "inference_s": "202.978", "wall_s": 203.0}
|
| 137 |
+
{"id": "misc_6394054-uhd_4096_2048_24fps__dolly_out__day_night_day", "started_at": 1786345177.2440293, "status": "ok", "bytes": 11752070, "inference_s": "202.937", "wall_s": 203.0}
|
| 138 |
+
{"id": "common_sense_88cd7392-a6ce-4282-bffe-f3355ce13f12__dolly_in__thunderstorm_lightning", "started_at": 1786345380.197784, "status": "ok", "bytes": 9118294, "inference_s": "202.929", "wall_s": 202.9}
|
| 139 |
+
{"id": "common_sense_187c0ef3-a9e4-408b-be8b-69b977002146__pan_right__season_to_autumn", "started_at": 1786345583.141344, "status": "ok", "bytes": 7123221, "inference_s": "202.814", "wall_s": 202.8}
|
| 140 |
+
{"id": "human_033__tilt_up_reveal__clear_rain_clear", "started_at": 1786345785.9683893, "status": "ok", "bytes": 7513113, "inference_s": "202.884", "wall_s": 202.9}
|
| 141 |
+
{"id": "misc_1542008-hd_1920_1080_30fps__pan_left__noon_to_late_afternoon", "started_at": 1786345988.8641253, "status": "ok", "bytes": 2766672, "inference_s": "202.677", "wall_s": 202.7}
|
| 142 |
+
{"id": "misc_3077158-uhd_3840_2160_30fps__pan_left__blizzard", "started_at": 1786346191.5491123, "status": "ok", "bytes": 9304479, "inference_s": "203.036", "wall_s": 203.1}
|
| 143 |
+
{"id": "human_126__slow_orbit__clouds_time_lapse", "started_at": 1786346394.6000564, "status": "ok", "bytes": 5726774, "inference_s": "202.912", "wall_s": 202.9}
|
| 144 |
+
{"id": "av_7aa30d83-4049-432f-a69d-6fc5a1387640__tilt_up_reveal__day_night_day", "started_at": 1786346597.521722, "status": "ok", "bytes": 6812618, "inference_s": "202.801", "wall_s": 202.8}
|
| 145 |
+
{"id": "human_235__tilt_down_reveal__sunrise", "started_at": 1786346800.3342881, "status": "ok", "bytes": 6914824, "inference_s": "203.054", "wall_s": 203.1}
|
| 146 |
+
{"id": "av_20220d89-b7ea-4e72-8153-304612dd3f47__tilt_down_reveal__clouds_time_lapse", "started_at": 1786347003.4008138, "status": "ok", "bytes": 7069591, "inference_s": "203.097", "wall_s": 203.1}
|
| 147 |
+
{"id": "human_016__slow_orbit__hail_starts", "started_at": 1786347206.5086877, "status": "ok", "bytes": 10388432, "inference_s": "203.084", "wall_s": 203.1}
|
| 148 |
+
{"id": "av_foggy_1_0__tracking_follow__season_to_autumn", "started_at": 1786347409.6089113, "status": "ok", "bytes": 7030993, "inference_s": "203.011", "wall_s": 203.0}
|
| 149 |
+
{"id": "misc_3192197-uhd_3840_2160_25fps__tracking_follow__blizzard", "started_at": 1786347612.6318955, "status": "ok", "bytes": 7418717, "inference_s": "203.042", "wall_s": 203.1}
|
| 150 |
+
{"id": "common_sense_6d04ac44-38c0-4180-9840-a516164fe80a__tilt_up_reveal__noon_to_late_afternoon", "started_at": 1786347815.6856916, "status": "ok", "bytes": 6180916, "inference_s": "203.044", "wall_s": 203.1}
|
| 151 |
+
{"id": "common_sense_7a5402d9-c502-4658-9cbc-8a1bdd161abb__tilt_up_reveal__rain_starts", "started_at": 1786348018.7403736, "status": "ok", "bytes": 8200246, "inference_s": "202.822", "wall_s": 202.8}
|
| 152 |
+
{"id": "av_2ed9ef3e-510b-447d-a947-fdbcb3004285__tracking_follow__thunderstorm_lightning", "started_at": 1786348221.5746918, "status": "ok", "bytes": 9261225, "inference_s": "203.065", "wall_s": 203.1}
|
| 153 |
+
{"id": "human_214__pan_right__hail_starts", "started_at": 1786348424.6546865, "status": "ok", "bytes": 9733014, "inference_s": "203.145", "wall_s": 203.2}
|
| 154 |
+
{"id": "common_sense_062f7b4e-1f09-4a1e-9f1a-5c531c9e2155__pan_left__sunset", "started_at": 1786348627.8143356, "status": "ok", "bytes": 8532644, "inference_s": "202.796", "wall_s": 202.8}
|
| 155 |
+
{"id": "av_adc4f0ac-5a6d-4142-a914-41f032dc8672__tracking_follow__day_night_day", "started_at": 1786348830.62387, "status": "ok", "bytes": 6561240, "inference_s": "202.940", "wall_s": 203.0}
|
| 156 |
+
{"id": "human_109__dolly_in__dusk_golden_hour", "started_at": 1786349033.575027, "status": "ok", "bytes": 11613082, "inference_s": "203.107", "wall_s": 203.1}
|
| 157 |
+
{"id": "human_206__dolly_in__snow_starts", "started_at": 1786349236.6986349, "status": "ok", "bytes": 7636500, "inference_s": "203.135", "wall_s": 203.1}
|
| 158 |
+
{"id": "av_9f444d8e-c8d5-44e1-bc9f-2dc118c697ac__pan_right__sunrise", "started_at": 1786349439.8466434, "status": "ok", "bytes": 6657803, "inference_s": "203.059", "wall_s": 203.1}
|
| 159 |
+
{"id": "common_sense_c6089fbe-553a-4183-9dc4-b17445d5ebde__dolly_out__heat_haze_shimmer", "started_at": 1786349642.9167554, "status": "ok", "bytes": 7220623, "inference_s": "203.181", "wall_s": 203.2}
|
| 160 |
+
{"id": "av_d5eb364d-0d7e-4295-a1c1-972080c7d8fe__dolly_out__night_to_day", "started_at": 1786349846.10916, "status": "ok", "bytes": 8044715, "inference_s": "202.981", "wall_s": 203.0}
|
bench_t2v_camera_time/score_claude.py
ADDED
|
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|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Sole eval signal for bench_t2v_camera_time: Claude Opus 5 on Amazon Bedrock,
|
| 3 |
+
used as a VLM-as-judge over frames sampled from each generated video.
|
| 4 |
+
|
| 5 |
+
Replaces the previous two-model setup (local Qwen3.5-27B + TIGER-Lab/VideoScore2
|
| 6 |
+
combined by combine.py) -- there is now exactly one judge, so there is nothing
|
| 7 |
+
to combine; summarize.py just aggregates this scorer's output.
|
| 8 |
+
|
| 9 |
+
The rubric is unchanged from the Qwen3.5 version: four axes, each 0-10 --
|
| 10 |
+
`time_alignment` (did the described time/weather transition happen), `camera_motion`
|
| 11 |
+
(did the described camera move happen), `quality`, `smoothness`.
|
| 12 |
+
|
| 13 |
+
Claude takes images, not video, so each video is reduced to K evenly-spaced
|
| 14 |
+
frames sent as JPEG images in one user turn. Frames are downscaled to
|
| 15 |
+
--max-side (default 768px long edge) to keep per-request image tokens
|
| 16 |
+
reasonable: Claude bills roughly (w*h)/750 tokens per image, so 8 frames at
|
| 17 |
+
768x432 is ~3.5k image tokens per video.
|
| 18 |
+
|
| 19 |
+
Requirements:
|
| 20 |
+
pip install 'anthropic[bedrock]' # boto3 is what signs the SigV4 request
|
| 21 |
+
AWS credentials resolvable the usual way (env vars, ~/.aws, instance role)
|
| 22 |
+
AWS_REGION (or --aws-region) set to a region where the model is enabled
|
| 23 |
+
|
| 24 |
+
Usage (CPU node is fine -- no local model is loaded):
|
| 25 |
+
python score_claude.py # scores outputs/videos/*.mp4
|
| 26 |
+
python score_claude.py --limit 5 # quick partial check
|
| 27 |
+
python score_claude.py --concurrency 8 # more in-flight requests
|
| 28 |
+
Output: outputs/claude_scores.jsonl (resumable -- skips ids already present).
|
| 29 |
+
"""
|
| 30 |
+
from __future__ import annotations
|
| 31 |
+
|
| 32 |
+
import argparse
|
| 33 |
+
import base64
|
| 34 |
+
import json
|
| 35 |
+
import re
|
| 36 |
+
import threading
|
| 37 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 38 |
+
from pathlib import Path
|
| 39 |
+
|
| 40 |
+
import cv2
|
| 41 |
+
import numpy as np
|
| 42 |
+
|
| 43 |
+
HERE = Path(__file__).resolve().parent
|
| 44 |
+
|
| 45 |
+
DEFAULT_MODEL = "anthropic.claude-opus-5"
|
| 46 |
+
DEFAULT_REGION = "us-east-1"
|
| 47 |
+
|
| 48 |
+
K_FRAMES = 8
|
| 49 |
+
MAX_SIDE = 768
|
| 50 |
+
JPEG_QUALITY = 90
|
| 51 |
+
MAX_TOKENS = 4000
|
| 52 |
+
|
| 53 |
+
AXES = ("time_alignment", "camera_motion", "quality", "smoothness")
|
| 54 |
+
|
| 55 |
+
JUDGE_PROMPT_TEMPLATE = """You are a STRICT, SKEPTICAL judge of an AI-generated video against the text prompt that produced it. Most generated videos have real flaws -- assume there are problems until the frames clearly prove otherwise. Do not give credit for "close enough" or "same general vibe."
|
| 56 |
+
|
| 57 |
+
Prompt: "{prompt}"
|
| 58 |
+
|
| 59 |
+
The prompt describes a scene, an instructed CAMERA MOVEMENT, and an instructed TIME/WEATHER transition. The {k} images above are frames sampled evenly across the video's duration, in order.
|
| 60 |
+
|
| 61 |
+
Rate the video on four axes, each an integer from 0 to 10. Use the full range -- most videos should land in the 3-6 band; reserve 9-10 for videos with essentially no flaws.
|
| 62 |
+
|
| 63 |
+
time_alignment (does the described time/weather transition actually happen, in the right direction?):
|
| 64 |
+
10 = the transition clearly and correctly happens exactly as described (right direction, right end state)
|
| 65 |
+
8-9 = the transition happens correctly, at most one minor detail off (e.g. slightly under/overshooting the described end state)
|
| 66 |
+
6-7 = a transition happens and is recognizable as the right general kind (e.g. it does get darker/wetter/snowier) but is incomplete, weak, or has some wrong details
|
| 67 |
+
4-5 = little to no visible transition, or the wrong kind of change (e.g. asked for rain, got only clouds)
|
| 68 |
+
2-3 = the scene changes in some way but not toward what was described, or the requested state is contradicted
|
| 69 |
+
0-1 = no transition at all, or the opposite of what was described
|
| 70 |
+
|
| 71 |
+
camera_motion (does the described camera movement -- dolly/pan/tilt/orbit/tracking -- actually happen, in the right direction?):
|
| 72 |
+
10 = unmistakable camera movement exactly matching the described type and direction throughout
|
| 73 |
+
8-9 = clearly the right camera movement, at most a minor inconsistency (e.g. motion slows/stops briefly)
|
| 74 |
+
6-7 = some camera movement in roughly the right direction, but weaker, less consistent, or partially wrong axis than described
|
| 75 |
+
4-5 = movement is ambiguous, very slight, or could plausibly be attributed to the subject moving rather than the camera
|
| 76 |
+
2-3 = camera movement in the wrong direction, or movement doesn't match the described type at all (e.g. asked for a pan, got a static shot with subject motion)
|
| 77 |
+
0-1 = the camera is completely static, or moves opposite to what was described
|
| 78 |
+
|
| 79 |
+
quality (sharpness, absence of warping/artifacts/melting geometry):
|
| 80 |
+
10 = photoreal, no visible artifacts anywhere
|
| 81 |
+
8-9 = very good, at most one small artifact on close inspection
|
| 82 |
+
6-7 = noticeable but minor artifacts (soft warping, texture smearing) that don't dominate the frame
|
| 83 |
+
4-5 = clear artifacts in multiple frames (melting geometry, garbled architectural detail, unstable structures)
|
| 84 |
+
0-3 = pervasive artifacts, badly broken in most frames
|
| 85 |
+
|
| 86 |
+
smoothness (temporal coherence across the frames -- no flicker, no discontinuities, consistent object/architecture identity):
|
| 87 |
+
10 = perfectly smooth and consistent throughout
|
| 88 |
+
8-9 = very smooth, at most one minor discontinuity
|
| 89 |
+
6-7 = mostly smooth but with a couple of noticeable jumps or identity drift
|
| 90 |
+
4-5 = frequent flicker or objects/architecture changing shape or identity between frames
|
| 91 |
+
0-3 = incoherent, frames barely relate to each other
|
| 92 |
+
|
| 93 |
+
Be honest and critical -- if you are uncertain whether a detail is correct, score it as if it is wrong, not right.
|
| 94 |
+
|
| 95 |
+
Respond with ONLY a JSON object, no other text, in exactly this form:
|
| 96 |
+
{{"time_alignment": <int 0-10>, "camera_motion": <int 0-10>, "quality": <int 0-10>, "smoothness": <int 0-10>, "reason": "<one short sentence, naming the specific flaw if any>"}}
|
| 97 |
+
"""
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
def item_meta(it: dict) -> dict:
|
| 101 |
+
"""Manifest fields carried through onto every score record."""
|
| 102 |
+
return {"domain": it["domain"], "camera_motion_name": it["camera_motion"],
|
| 103 |
+
"time_variant": it["time_variant"]}
|
| 104 |
+
|
| 105 |
+
|
| 106 |
+
# --- generic below this line -------------------------------------------------
|
| 107 |
+
|
| 108 |
+
def make_client(mode: str, region: str, max_retries: int):
|
| 109 |
+
"""Bedrock client. `mantle` is the Messages-API Bedrock endpoint and the
|
| 110 |
+
recommended path; `legacy` is the older bedrock-runtime InvokeModel path,
|
| 111 |
+
kept for accounts that only have that enabled (its model ids look like
|
| 112 |
+
`us.anthropic.claude-opus-5-v1:0` -- pass one with --model)."""
|
| 113 |
+
try:
|
| 114 |
+
from anthropic import AnthropicBedrock, AnthropicBedrockMantle
|
| 115 |
+
except ImportError as exc: # pragma: no cover
|
| 116 |
+
raise SystemExit(f"anthropic SDK not available: {exc}") from exc
|
| 117 |
+
cls = AnthropicBedrockMantle if mode == "mantle" else AnthropicBedrock
|
| 118 |
+
return cls(aws_region=region, max_retries=max_retries)
|
| 119 |
+
|
| 120 |
+
|
| 121 |
+
def sample_frames(video_path: Path, k: int) -> list[np.ndarray]:
|
| 122 |
+
"""K evenly-spaced BGR frames across the whole video."""
|
| 123 |
+
cap = cv2.VideoCapture(str(video_path))
|
| 124 |
+
n = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
|
| 125 |
+
if n <= 0:
|
| 126 |
+
cap.release()
|
| 127 |
+
raise RuntimeError(f"no frames read from {video_path}")
|
| 128 |
+
frames = []
|
| 129 |
+
for i in np.linspace(0, n - 1, num=min(k, n), dtype=int):
|
| 130 |
+
cap.set(cv2.CAP_PROP_POS_FRAMES, int(i))
|
| 131 |
+
ok, frame = cap.read()
|
| 132 |
+
if ok:
|
| 133 |
+
frames.append(frame)
|
| 134 |
+
cap.release()
|
| 135 |
+
if not frames:
|
| 136 |
+
raise RuntimeError(f"no frames decoded from {video_path}")
|
| 137 |
+
return frames
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
def encode_jpeg(frame_bgr: np.ndarray, max_side: int) -> str:
|
| 141 |
+
h, w = frame_bgr.shape[:2]
|
| 142 |
+
scale = max_side / max(h, w)
|
| 143 |
+
if scale < 1:
|
| 144 |
+
frame_bgr = cv2.resize(frame_bgr, (int(w * scale), int(h * scale)),
|
| 145 |
+
interpolation=cv2.INTER_AREA)
|
| 146 |
+
ok, buf = cv2.imencode(".jpg", frame_bgr, [int(cv2.IMWRITE_JPEG_QUALITY), JPEG_QUALITY])
|
| 147 |
+
if not ok:
|
| 148 |
+
raise RuntimeError("cv2.imencode failed")
|
| 149 |
+
return base64.standard_b64encode(buf.tobytes()).decode("ascii")
|
| 150 |
+
|
| 151 |
+
|
| 152 |
+
def parse_judge_json(text: str) -> dict:
|
| 153 |
+
"""Pull the JSON object out of the judge's reply and clamp the axes."""
|
| 154 |
+
m = re.search(r"\{.*\}", text, re.S)
|
| 155 |
+
if not m:
|
| 156 |
+
raise ValueError(f"no JSON object found in judge output: {text[:200]!r}")
|
| 157 |
+
obj = json.loads(m.group(0))
|
| 158 |
+
for axis in AXES:
|
| 159 |
+
obj[axis] = max(0.0, min(10.0, float(obj[axis])))
|
| 160 |
+
return obj
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
def judge_video(client, model: str, effort: str, prompt: str,
|
| 164 |
+
video_path: Path, k_frames: int, max_side: int) -> dict:
|
| 165 |
+
frames = sample_frames(video_path, k_frames)
|
| 166 |
+
content = [
|
| 167 |
+
{"type": "image", "source": {"type": "base64", "media_type": "image/jpeg",
|
| 168 |
+
"data": encode_jpeg(f, max_side)}}
|
| 169 |
+
for f in frames
|
| 170 |
+
]
|
| 171 |
+
content.append({"type": "text",
|
| 172 |
+
"text": JUDGE_PROMPT_TEMPLATE.format(prompt=prompt, k=len(frames))})
|
| 173 |
+
|
| 174 |
+
response = client.messages.create(
|
| 175 |
+
model=model,
|
| 176 |
+
max_tokens=MAX_TOKENS,
|
| 177 |
+
thinking={"type": "adaptive"},
|
| 178 |
+
output_config={"effort": effort},
|
| 179 |
+
messages=[{"role": "user", "content": content}],
|
| 180 |
+
)
|
| 181 |
+
if response.stop_reason == "refusal":
|
| 182 |
+
category = getattr(response.stop_details, "category", None)
|
| 183 |
+
raise RuntimeError(f"model refused (category={category})")
|
| 184 |
+
text = "".join(b.text for b in response.content if b.type == "text")
|
| 185 |
+
if not text.strip():
|
| 186 |
+
raise RuntimeError(f"empty response (stop_reason={response.stop_reason})")
|
| 187 |
+
return parse_judge_json(text)
|
| 188 |
+
|
| 189 |
+
|
| 190 |
+
def parse_args() -> argparse.Namespace:
|
| 191 |
+
p = argparse.ArgumentParser(description="Score bench_t2v_camera_time with Claude Opus 5 on Bedrock.")
|
| 192 |
+
p.add_argument("--manifest", default=str(HERE / "manifest.json"))
|
| 193 |
+
p.add_argument("--videos-dir", default=str(HERE / "outputs" / "videos"))
|
| 194 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 195 |
+
p.add_argument("--model", default=DEFAULT_MODEL)
|
| 196 |
+
p.add_argument("--aws-region", default=None,
|
| 197 |
+
help=f"defaults to $AWS_REGION, else {DEFAULT_REGION}")
|
| 198 |
+
p.add_argument("--bedrock-mode", choices=("mantle", "legacy"), default="mantle")
|
| 199 |
+
p.add_argument("--effort", choices=("low", "medium", "high", "xhigh", "max"), default="medium")
|
| 200 |
+
p.add_argument("--limit", type=int, default=None)
|
| 201 |
+
p.add_argument("--k-frames", type=int, default=K_FRAMES)
|
| 202 |
+
p.add_argument("--max-side", type=int, default=MAX_SIDE)
|
| 203 |
+
p.add_argument("--concurrency", type=int, default=4)
|
| 204 |
+
p.add_argument("--max-retries", type=int, default=5)
|
| 205 |
+
return p.parse_args()
|
| 206 |
+
|
| 207 |
+
|
| 208 |
+
def main() -> None:
|
| 209 |
+
import os
|
| 210 |
+
|
| 211 |
+
args = parse_args()
|
| 212 |
+
region = args.aws_region or os.environ.get("AWS_REGION") or DEFAULT_REGION
|
| 213 |
+
|
| 214 |
+
manifest = json.load(open(args.manifest))
|
| 215 |
+
items = manifest["items"]
|
| 216 |
+
if args.limit is not None:
|
| 217 |
+
items = items[: args.limit]
|
| 218 |
+
|
| 219 |
+
videos_dir = Path(args.videos_dir)
|
| 220 |
+
out_dir = Path(args.out_dir)
|
| 221 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 222 |
+
scores_path = out_dir / "claude_scores.jsonl"
|
| 223 |
+
already = set()
|
| 224 |
+
if scores_path.exists():
|
| 225 |
+
for line in scores_path.read_text().splitlines():
|
| 226 |
+
if line.strip():
|
| 227 |
+
already.add(json.loads(line)["id"])
|
| 228 |
+
|
| 229 |
+
todo = [it for it in items if it["id"] not in already]
|
| 230 |
+
print(f"{len(items)} items, {len(already)} already scored, {len(todo)} to score")
|
| 231 |
+
print(f"judge: {args.model} via bedrock ({args.bedrock_mode}, region={region}, effort={args.effort})")
|
| 232 |
+
|
| 233 |
+
client = make_client(args.bedrock_mode, region, args.max_retries)
|
| 234 |
+
write_lock = threading.Lock()
|
| 235 |
+
counter = {"n": 0}
|
| 236 |
+
|
| 237 |
+
def work(it: dict) -> None:
|
| 238 |
+
video_path = videos_dir / f"{it['id']}.mp4"
|
| 239 |
+
meta = {"id": it["id"], **item_meta(it)}
|
| 240 |
+
if not video_path.exists():
|
| 241 |
+
with write_lock:
|
| 242 |
+
counter["n"] += 1
|
| 243 |
+
print(f"[{counter['n']}/{len(todo)}] SKIP {it['id']}: video not found")
|
| 244 |
+
return
|
| 245 |
+
try:
|
| 246 |
+
judge = judge_video(client, args.model, args.effort, it["prompt"],
|
| 247 |
+
video_path, args.k_frames, args.max_side)
|
| 248 |
+
record = {**meta, **{axis: judge[axis] for axis in AXES},
|
| 249 |
+
"reason": judge.get("reason", "")}
|
| 250 |
+
line = " ".join(f"{axis.split('_')[0]}={judge[axis]:.0f}" for axis in AXES)
|
| 251 |
+
except Exception as exc:
|
| 252 |
+
record = {**meta, "error": f"{type(exc).__name__}: {exc}"[:300]}
|
| 253 |
+
line = f"ERROR {exc}"
|
| 254 |
+
with write_lock:
|
| 255 |
+
counter["n"] += 1
|
| 256 |
+
print(f"[{counter['n']}/{len(todo)}] {it['id']}: {line}", flush=True)
|
| 257 |
+
with open(scores_path, "a") as f:
|
| 258 |
+
f.write(json.dumps(record) + "\n")
|
| 259 |
+
|
| 260 |
+
with ThreadPoolExecutor(max_workers=max(1, args.concurrency)) as pool:
|
| 261 |
+
list(pool.map(work, todo))
|
| 262 |
+
|
| 263 |
+
print(f"done -> {scores_path}")
|
| 264 |
+
|
| 265 |
+
|
| 266 |
+
if __name__ == "__main__":
|
| 267 |
+
main()
|
bench_t2v_camera_time/summarize.py
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Aggregate score_claude.py output into a per-video score file and a summary.
|
| 3 |
+
|
| 4 |
+
Replaces the old combine.py, which merged two judges (Qwen3.5 + VideoScore2).
|
| 5 |
+
Claude Opus 5 is now the only judge, so there is nothing to combine -- the
|
| 6 |
+
score is just the mean of the four rubric axes:
|
| 7 |
+
|
| 8 |
+
score = mean(time_alignment, camera_motion, quality, smoothness) / 10
|
| 9 |
+
pass = time_alignment >= 8 and camera_motion >= 6 and quality >= 7
|
| 10 |
+
|
| 11 |
+
Thresholds are carried over unchanged from combine.py (camera_motion stays at
|
| 12 |
+
6, not 8, since camera-motion-following is a harder, less-established
|
| 13 |
+
capability than the transition/quality axes); the VideoScore2 `min(v,t,p) >= 4`
|
| 14 |
+
gate is gone with the model that produced it.
|
| 15 |
+
|
| 16 |
+
Usage:
|
| 17 |
+
python summarize.py
|
| 18 |
+
python summarize.py --out-dir outputs
|
| 19 |
+
Output: outputs/scores.jsonl (per-video) + outputs/summary.json.
|
| 20 |
+
"""
|
| 21 |
+
from __future__ import annotations
|
| 22 |
+
|
| 23 |
+
import argparse
|
| 24 |
+
import json
|
| 25 |
+
from pathlib import Path
|
| 26 |
+
|
| 27 |
+
import numpy as np
|
| 28 |
+
|
| 29 |
+
HERE = Path(__file__).resolve().parent
|
| 30 |
+
|
| 31 |
+
AXES = ("time_alignment", "camera_motion", "quality", "smoothness")
|
| 32 |
+
GROUP_KEYS = ("camera_motion_name", "time_variant", "domain")
|
| 33 |
+
|
| 34 |
+
PASS_TIME_ALIGNMENT = 8.0
|
| 35 |
+
PASS_CAMERA_MOTION = 6.0
|
| 36 |
+
PASS_QUALITY = 7.0
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
def passed(r: dict) -> bool:
|
| 40 |
+
return (r["time_alignment"] >= PASS_TIME_ALIGNMENT
|
| 41 |
+
and r["camera_motion"] >= PASS_CAMERA_MOTION
|
| 42 |
+
and r["quality"] >= PASS_QUALITY)
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
# --- generic below this line -------------------------------------------------
|
| 46 |
+
|
| 47 |
+
def parse_args() -> argparse.Namespace:
|
| 48 |
+
p = argparse.ArgumentParser(description="Summarize Claude judge scores.")
|
| 49 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 50 |
+
return p.parse_args()
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def load_jsonl(path: Path) -> list[dict]:
|
| 54 |
+
if not path.exists():
|
| 55 |
+
raise SystemExit(f"missing {path} -- run score_claude.py first")
|
| 56 |
+
return [json.loads(l) for l in path.read_text().splitlines() if l.strip()]
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
def main() -> None:
|
| 60 |
+
args = parse_args()
|
| 61 |
+
out_dir = Path(args.out_dir)
|
| 62 |
+
records = load_jsonl(out_dir / "claude_scores.jsonl")
|
| 63 |
+
|
| 64 |
+
merged = []
|
| 65 |
+
for r in sorted(records, key=lambda x: x["id"]):
|
| 66 |
+
if "error" in r:
|
| 67 |
+
merged.append({**{k: v for k, v in r.items() if k != "reason"}, "pass": False})
|
| 68 |
+
continue
|
| 69 |
+
score = sum(r[axis] for axis in AXES) / (10.0 * len(AXES))
|
| 70 |
+
merged.append({**r, "score": round(score, 4), "pass": passed(r)})
|
| 71 |
+
|
| 72 |
+
scores_path = out_dir / "scores.jsonl"
|
| 73 |
+
scores_path.write_text("\n".join(json.dumps(r) for r in merged) + "\n")
|
| 74 |
+
|
| 75 |
+
ok = [r for r in merged if "error" not in r]
|
| 76 |
+
summary = {
|
| 77 |
+
"judge": "claude-opus-5 (bedrock)",
|
| 78 |
+
"num_scored": len(merged),
|
| 79 |
+
"num_ok": len(ok),
|
| 80 |
+
"num_errors": len(merged) - len(ok),
|
| 81 |
+
"pass_rate": round(sum(r["pass"] for r in ok) / len(ok), 3) if ok else None,
|
| 82 |
+
"mean_score": round(float(np.mean([r["score"] for r in ok])), 3) if ok else None,
|
| 83 |
+
}
|
| 84 |
+
for axis in AXES:
|
| 85 |
+
summary[f"mean_{axis}"] = round(float(np.mean([r[axis] for r in ok])), 3) if ok else None
|
| 86 |
+
for key in GROUP_KEYS:
|
| 87 |
+
groups: dict = {}
|
| 88 |
+
for r in ok:
|
| 89 |
+
groups.setdefault(r[key], []).append(r["score"])
|
| 90 |
+
summary[f"mean_score_by_{key}"] = {k: round(float(np.mean(v)), 3)
|
| 91 |
+
for k, v in sorted(groups.items())}
|
| 92 |
+
|
| 93 |
+
(out_dir / "summary.json").write_text(json.dumps(summary, indent=2))
|
| 94 |
+
print(json.dumps(summary, indent=2))
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
if __name__ == "__main__":
|
| 98 |
+
main()
|
bench_t2v_space/manifest_usa.json
ADDED
|
@@ -0,0 +1,728 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"dataset": "wikimedia-photo-grounded US state-by-state landmarks (build_places.py + grounding_usa.py)",
|
| 3 |
+
"num_items": 59,
|
| 4 |
+
"modes": [
|
| 5 |
+
"driving",
|
| 6 |
+
"walking"
|
| 7 |
+
],
|
| 8 |
+
"sampling": {
|
| 9 |
+
"width": 1280,
|
| 10 |
+
"height": 720,
|
| 11 |
+
"num_frames": 189,
|
| 12 |
+
"fps": 24,
|
| 13 |
+
"num_inference_steps": 35,
|
| 14 |
+
"guidance_scale": 6.0,
|
| 15 |
+
"flow_shift": 10.0,
|
| 16 |
+
"seed": 0
|
| 17 |
+
},
|
| 18 |
+
"items": [
|
| 19 |
+
{
|
| 20 |
+
"id": "statue_of_liberty",
|
| 21 |
+
"place": "Statue of Liberty",
|
| 22 |
+
"city": "New York City",
|
| 23 |
+
"country": "United States",
|
| 24 |
+
"continent": "North America",
|
| 25 |
+
"mode": "walking",
|
| 26 |
+
"prompt": "A first-person POV walking through the green copper Statue of Liberty with her raised torch and spiked crown standing on Liberty Island, the Manhattan skyline visible across the harbor.",
|
| 27 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 28 |
+
"ref_image": "wikimedia_famous_places_usa/001_Statue_of_Liberty.jpg",
|
| 29 |
+
"source_url": "https://en.wikipedia.org/wiki/Statue_of_Liberty"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"id": "golden_gate_bridge",
|
| 33 |
+
"place": "Golden Gate Bridge",
|
| 34 |
+
"city": "San Francisco",
|
| 35 |
+
"country": "United States",
|
| 36 |
+
"continent": "North America",
|
| 37 |
+
"mode": "driving",
|
| 38 |
+
"prompt": "A dashcam POV driving through the burnt-orange towers and suspension cables of the Golden Gate Bridge stretching across the bay fog toward the San Francisco skyline.",
|
| 39 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 40 |
+
"ref_image": "wikimedia_famous_places_usa/002_Golden_Gate_Bridge.jpg",
|
| 41 |
+
"source_url": "https://en.wikipedia.org/wiki/Golden_Gate_Bridge"
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"id": "grand_canyon",
|
| 45 |
+
"place": "Grand Canyon",
|
| 46 |
+
"city": "Arizona",
|
| 47 |
+
"country": "United States",
|
| 48 |
+
"continent": "North America",
|
| 49 |
+
"mode": "driving",
|
| 50 |
+
"prompt": "A dashcam POV driving through a rim-side highway along the Grand Canyon's South Rim, layered red-and-orange rock walls plunging away into a vast eroded gorge.",
|
| 51 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 52 |
+
"ref_image": "wikimedia_famous_places_usa/003_Grand_Canyon.jpeg",
|
| 53 |
+
"source_url": "https://en.wikipedia.org/wiki/Grand_Canyon"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"id": "mount_rushmore",
|
| 57 |
+
"place": "Mount Rushmore",
|
| 58 |
+
"city": "South Dakota",
|
| 59 |
+
"country": "United States",
|
| 60 |
+
"continent": "North America",
|
| 61 |
+
"mode": "walking",
|
| 62 |
+
"prompt": "A first-person POV walking through the four monumental granite presidential faces of Mount Rushmore carved into the pine-covered Black Hills mountainside.",
|
| 63 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 64 |
+
"ref_image": "wikimedia_famous_places_usa/004_Mount_Rushmore.jpg",
|
| 65 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Rushmore"
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"id": "times_square",
|
| 69 |
+
"place": "Times Square",
|
| 70 |
+
"city": "New York City",
|
| 71 |
+
"country": "United States",
|
| 72 |
+
"continent": "North America",
|
| 73 |
+
"mode": "walking",
|
| 74 |
+
"prompt": "A first-person POV walking through the towering, densely packed digital billboards and neon signage of Times Square glowing over crowded sidewalks and yellow taxis.",
|
| 75 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 76 |
+
"ref_image": "wikimedia_famous_places_usa/005_Times_Square.jpg",
|
| 77 |
+
"source_url": "https://en.wikipedia.org/wiki/Times_Square"
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"id": "niagara_falls",
|
| 81 |
+
"place": "Niagara Falls",
|
| 82 |
+
"city": "Niagara Falls, NY",
|
| 83 |
+
"country": "United States",
|
| 84 |
+
"continent": "North America",
|
| 85 |
+
"mode": "walking",
|
| 86 |
+
"prompt": "A first-person POV walking through the thundering curtain of Niagara Falls' American Falls throwing up clouds of mist, tour boats visible in the churning water below.",
|
| 87 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 88 |
+
"ref_image": "wikimedia_famous_places_usa/006_Niagara_Falls.jpg",
|
| 89 |
+
"source_url": "https://en.wikipedia.org/wiki/Niagara_Falls"
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"id": "empire_state_building",
|
| 93 |
+
"place": "Empire State Building",
|
| 94 |
+
"city": "New York City",
|
| 95 |
+
"country": "United States",
|
| 96 |
+
"continent": "North America",
|
| 97 |
+
"mode": "walking",
|
| 98 |
+
"prompt": "A first-person POV walking through the tiered Art Deco setbacks and spire of the Empire State Building rising above Fifth Avenue's yellow-taxi traffic.",
|
| 99 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 100 |
+
"ref_image": "wikimedia_famous_places_usa/007_Empire_State_Building.jpg",
|
| 101 |
+
"source_url": "https://en.wikipedia.org/wiki/Empire_State_Building"
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"id": "brooklyn_bridge",
|
| 105 |
+
"place": "Brooklyn Bridge",
|
| 106 |
+
"city": "New York City",
|
| 107 |
+
"country": "United States",
|
| 108 |
+
"continent": "North America",
|
| 109 |
+
"mode": "walking",
|
| 110 |
+
"prompt": "A first-person POV walking through the stone Gothic arches and web of suspension cables of the Brooklyn Bridge's pedestrian walkway, Manhattan's skyline framed ahead.",
|
| 111 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 112 |
+
"ref_image": "wikimedia_famous_places_usa/008_Brooklyn_Bridge.jpg",
|
| 113 |
+
"source_url": "https://en.wikipedia.org/wiki/Brooklyn_Bridge"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"id": "hollywood_sign",
|
| 117 |
+
"place": "Hollywood Sign",
|
| 118 |
+
"city": "Los Angeles",
|
| 119 |
+
"country": "United States",
|
| 120 |
+
"continent": "North America",
|
| 121 |
+
"mode": "walking",
|
| 122 |
+
"prompt": "A first-person POV walking through a dusty chaparral trail climbing Mount Lee toward the giant white block letters of the Hollywood Sign, the LA basin sprawling below.",
|
| 123 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 124 |
+
"ref_image": "wikimedia_famous_places_usa/009_Hollywood_Sign.jpg",
|
| 125 |
+
"source_url": "https://en.wikipedia.org/wiki/Hollywood_Sign"
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"id": "alcatraz_island",
|
| 129 |
+
"place": "Alcatraz Island",
|
| 130 |
+
"city": "San Francisco",
|
| 131 |
+
"country": "United States",
|
| 132 |
+
"continent": "North America",
|
| 133 |
+
"mode": "walking",
|
| 134 |
+
"prompt": "A first-person POV walking through the weathered cellblock walls and lighthouse of Alcatraz prison rising from its rocky island, San Francisco's skyline visible across the bay.",
|
| 135 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 136 |
+
"ref_image": "wikimedia_famous_places_usa/010_Alcatraz_Island.jpg",
|
| 137 |
+
"source_url": "https://en.wikipedia.org/wiki/Alcatraz_Island"
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"id": "yellowstone_national_park",
|
| 141 |
+
"place": "Yellowstone National Park",
|
| 142 |
+
"city": "Wyoming",
|
| 143 |
+
"country": "United States",
|
| 144 |
+
"continent": "North America",
|
| 145 |
+
"mode": "driving",
|
| 146 |
+
"prompt": "A dashcam POV driving through a two-lane park road winding past steaming geysers and mineral-terraced hot springs in Yellowstone's high alpine basin.",
|
| 147 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 148 |
+
"ref_image": "wikimedia_famous_places_usa/011_Yellowstone_National_Park.jpg",
|
| 149 |
+
"source_url": "https://en.wikipedia.org/wiki/Yellowstone_National_Park"
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"id": "yosemite_national_park",
|
| 153 |
+
"place": "Yosemite National Park",
|
| 154 |
+
"city": "California",
|
| 155 |
+
"country": "United States",
|
| 156 |
+
"continent": "North America",
|
| 157 |
+
"mode": "driving",
|
| 158 |
+
"prompt": "A dashcam POV driving through a valley road beneath the sheer granite face of El Capitan and Half Dome, waterfalls streaking down the Yosemite valley walls.",
|
| 159 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 160 |
+
"ref_image": "wikimedia_famous_places_usa/012_Yosemite_National_Park.jpg",
|
| 161 |
+
"source_url": "https://en.wikipedia.org/wiki/Yosemite_National_Park"
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"id": "hoover_dam",
|
| 165 |
+
"place": "Hoover Dam",
|
| 166 |
+
"city": "Nevada/Arizona border",
|
| 167 |
+
"country": "United States",
|
| 168 |
+
"continent": "North America",
|
| 169 |
+
"mode": "driving",
|
| 170 |
+
"prompt": "A dashcam POV driving through the massive curved concrete face of Hoover Dam plunging into Black Canyon, the turquoise waters of Lake Mead pooling behind it.",
|
| 171 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 172 |
+
"ref_image": "wikimedia_famous_places_usa/013_Hoover_Dam.jpg",
|
| 173 |
+
"source_url": "https://en.wikipedia.org/wiki/Hoover_Dam"
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"id": "space_needle",
|
| 177 |
+
"place": "Space Needle",
|
| 178 |
+
"city": "Seattle",
|
| 179 |
+
"country": "United States",
|
| 180 |
+
"continent": "North America",
|
| 181 |
+
"mode": "walking",
|
| 182 |
+
"prompt": "A first-person POV walking through the flying-saucer observation deck of the Space Needle atop its slender tapered tower, Seattle's skyline and Mount Rainier visible beyond.",
|
| 183 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 184 |
+
"ref_image": "wikimedia_famous_places_usa/014_Space_Needle.jpg",
|
| 185 |
+
"source_url": "https://en.wikipedia.org/wiki/Space_Needle"
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"id": "antelope_canyon",
|
| 189 |
+
"place": "Antelope Canyon",
|
| 190 |
+
"city": "Page, Arizona",
|
| 191 |
+
"country": "United States",
|
| 192 |
+
"continent": "North America",
|
| 193 |
+
"mode": "walking",
|
| 194 |
+
"prompt": "A first-person POV walking through the smooth swirling sandstone walls of Antelope Canyon glowing orange and purple where shafts of sunlight reach the narrow slot floor.",
|
| 195 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 196 |
+
"ref_image": "wikimedia_famous_places_usa/015_Antelope_Canyon.jpg",
|
| 197 |
+
"source_url": "https://en.wikipedia.org/wiki/Antelope_Canyon"
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"id": "monument_valley",
|
| 201 |
+
"place": "Monument Valley",
|
| 202 |
+
"city": "Arizona/Utah border",
|
| 203 |
+
"country": "United States",
|
| 204 |
+
"continent": "North America",
|
| 205 |
+
"mode": "driving",
|
| 206 |
+
"prompt": "A dashcam POV driving through a lone highway crossing the flat red desert of Monument Valley, isolated sandstone buttes and mesas rising against the horizon.",
|
| 207 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 208 |
+
"ref_image": "wikimedia_famous_places_usa/016_Monument_Valley.jpg",
|
| 209 |
+
"source_url": "https://en.wikipedia.org/wiki/Monument_Valley"
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"id": "u_s__space___rocket_center",
|
| 213 |
+
"place": "U.S. Space & Rocket Center",
|
| 214 |
+
"city": "Huntsville, Alabama",
|
| 215 |
+
"country": "United States",
|
| 216 |
+
"continent": "North America",
|
| 217 |
+
"mode": "walking",
|
| 218 |
+
"prompt": "A first-person POV walking through towering rockets, including a full-scale Saturn V displayed upright and horizontally, on the grounds of the U.S. Space & Rocket Center.",
|
| 219 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 220 |
+
"ref_image": "wikimedia_famous_places_usa/017_Alabama_U_S_Space_Rocket_Center.png",
|
| 221 |
+
"source_url": "https://en.wikipedia.org/wiki/U.S._Space_%26_Rocket_Center"
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"id": "denali",
|
| 225 |
+
"place": "Denali",
|
| 226 |
+
"city": "Alaska",
|
| 227 |
+
"country": "United States",
|
| 228 |
+
"continent": "North America",
|
| 229 |
+
"mode": "driving",
|
| 230 |
+
"prompt": "A dashcam POV driving through a gravel park road across Alaskan tundra with the massive snow-capped bulk of Denali, North America's tallest peak, rising above the clouds.",
|
| 231 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 232 |
+
"ref_image": "wikimedia_famous_places_usa/018_Alaska_Denali.jpg",
|
| 233 |
+
"source_url": "https://en.wikipedia.org/wiki/Denali"
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"id": "hot_springs_national_park",
|
| 237 |
+
"place": "Hot Springs National Park",
|
| 238 |
+
"city": "Hot Springs, Arkansas",
|
| 239 |
+
"country": "United States",
|
| 240 |
+
"continent": "North America",
|
| 241 |
+
"mode": "walking",
|
| 242 |
+
"prompt": "A first-person POV walking through the row of ornate bathhouse facades along Bathhouse Row, steam rising from thermal springs at the edge of the forested Ouachita mountains.",
|
| 243 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 244 |
+
"ref_image": "wikimedia_famous_places_usa/019_Arkansas_Hot_Springs_National_Park.jpg",
|
| 245 |
+
"source_url": "https://en.wikipedia.org/wiki/Hot_Springs_National_Park"
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"id": "rocky_mountain_national_park",
|
| 249 |
+
"place": "Rocky Mountain National Park",
|
| 250 |
+
"city": "Colorado",
|
| 251 |
+
"country": "United States",
|
| 252 |
+
"continent": "North America",
|
| 253 |
+
"mode": "driving",
|
| 254 |
+
"prompt": "A dashcam POV driving through Trail Ridge Road switchbacking above the treeline through Rocky Mountain National Park, jagged snow-streaked peaks and alpine tundra stretching in every direction.",
|
| 255 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 256 |
+
"ref_image": "wikimedia_famous_places_usa/020_Colorado_Rocky_Mountain_National_Park.JPG",
|
| 257 |
+
"source_url": "https://en.wikipedia.org/wiki/Rocky_Mountain_National_Park"
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"id": "mystic_seaport",
|
| 261 |
+
"place": "Mystic Seaport",
|
| 262 |
+
"city": "Mystic, Connecticut",
|
| 263 |
+
"country": "United States",
|
| 264 |
+
"continent": "North America",
|
| 265 |
+
"mode": "walking",
|
| 266 |
+
"prompt": "A first-person POV walking through the tall wooden masts of historic sailing ships docked along the waterfront of Mystic Seaport, weathered clapboard buildings lining the quay.",
|
| 267 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 268 |
+
"ref_image": "wikimedia_famous_places_usa/021_Connecticut_Mystic_Seaport.png",
|
| 269 |
+
"source_url": "https://en.wikipedia.org/wiki/Mystic_Seaport"
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"id": "first_state_national_historical_park",
|
| 273 |
+
"place": "First State National Historical Park",
|
| 274 |
+
"city": "Delaware",
|
| 275 |
+
"country": "United States",
|
| 276 |
+
"continent": "North America",
|
| 277 |
+
"mode": "walking",
|
| 278 |
+
"prompt": "A first-person POV walking through a wooded colonial-era trail past stone mill buildings and a historic courthouse green in Delaware's First State National Historical Park.",
|
| 279 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 280 |
+
"ref_image": "wikimedia_famous_places_usa/022_Delaware_First_State_National_Historical_Park.jpg",
|
| 281 |
+
"source_url": "https://en.wikipedia.org/wiki/First_State_National_Historical_Park"
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"id": "kennedy_space_center",
|
| 285 |
+
"place": "Kennedy Space Center",
|
| 286 |
+
"city": "Cape Canaveral, Florida",
|
| 287 |
+
"country": "United States",
|
| 288 |
+
"continent": "North America",
|
| 289 |
+
"mode": "walking",
|
| 290 |
+
"prompt": "A first-person POV walking through a massive vertical rocket, gantry towers, and the iconic countdown clock at Kennedy Space Center's visitor complex against the flat Florida coastline.",
|
| 291 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 292 |
+
"ref_image": "wikimedia_famous_places_usa/023_Florida_Kennedy_Space_Center.png",
|
| 293 |
+
"source_url": "https://en.wikipedia.org/wiki/Kennedy_Space_Center"
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"id": "stone_mountain",
|
| 297 |
+
"place": "Stone Mountain",
|
| 298 |
+
"city": "Georgia",
|
| 299 |
+
"country": "United States",
|
| 300 |
+
"continent": "North America",
|
| 301 |
+
"mode": "walking",
|
| 302 |
+
"prompt": "A first-person POV walking through a bald granite dome trail up Stone Mountain with its giant carved memorial relief, the Atlanta skyline visible far in the haze.",
|
| 303 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 304 |
+
"ref_image": "wikimedia_famous_places_usa/024_Georgia_Stone_Mountain.jpg",
|
| 305 |
+
"source_url": "https://en.wikipedia.org/wiki/Stone_Mountain"
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"id": "diamond_head",
|
| 309 |
+
"place": "Diamond Head",
|
| 310 |
+
"city": "Honolulu, Hawaii",
|
| 311 |
+
"country": "United States",
|
| 312 |
+
"continent": "North America",
|
| 313 |
+
"mode": "walking",
|
| 314 |
+
"prompt": "A first-person POV walking through a switchback crater-rim trail up Diamond Head's volcanic tuff cone, Waikiki's beaches and turquoise Pacific water spread out below.",
|
| 315 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 316 |
+
"ref_image": "wikimedia_famous_places_usa/060_Hawaii_Diamond_Head.JPG",
|
| 317 |
+
"source_url": "https://en.wikipedia.org/wiki/Diamond_Head%2C_Hawaii"
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"id": "craters_of_the_moon_national_monument_and_preserve",
|
| 321 |
+
"place": "Craters of the Moon National Monument and Preserve",
|
| 322 |
+
"city": "Idaho",
|
| 323 |
+
"country": "United States",
|
| 324 |
+
"continent": "North America",
|
| 325 |
+
"mode": "driving",
|
| 326 |
+
"prompt": "A dashcam POV driving through a loop road across the black volcanic cinder cones and hardened lava fields of Craters of the Moon, sparse vegetation breaking through the basalt.",
|
| 327 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 328 |
+
"ref_image": "wikimedia_famous_places_usa/026_Idaho_Craters_of_the_Moon_National_Monument_and_Preserve.jpg",
|
| 329 |
+
"source_url": "https://en.wikipedia.org/wiki/Craters_of_the_Moon_National_Monument_and_Preserve"
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"id": "cloud_gate",
|
| 333 |
+
"place": "Cloud Gate",
|
| 334 |
+
"city": "Chicago",
|
| 335 |
+
"country": "United States",
|
| 336 |
+
"continent": "North America",
|
| 337 |
+
"mode": "walking",
|
| 338 |
+
"prompt": "A first-person POV walking through the polished mirrored surface of Cloud Gate ('The Bean') reflecting Chicago's skyline and Millennium Park crowds around it.",
|
| 339 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 340 |
+
"ref_image": "wikimedia_famous_places_usa/027_Illinois_Cloud_Gate.jpg",
|
| 341 |
+
"source_url": "https://en.wikipedia.org/wiki/Cloud_Gate"
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"id": "indianapolis_motor_speedway",
|
| 345 |
+
"place": "Indianapolis Motor Speedway",
|
| 346 |
+
"city": "Indianapolis",
|
| 347 |
+
"country": "United States",
|
| 348 |
+
"continent": "North America",
|
| 349 |
+
"mode": "driving",
|
| 350 |
+
"prompt": "A dashcam POV driving through the wide banked front straightaway and iconic yard of bricks at Indianapolis Motor Speedway, grandstands towering along the track.",
|
| 351 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 352 |
+
"ref_image": "wikimedia_famous_places_usa/028_Indiana_Indianapolis_Motor_Speedway.png",
|
| 353 |
+
"source_url": "https://en.wikipedia.org/wiki/Indianapolis_Motor_Speedway"
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"id": "iowa_state_capitol",
|
| 357 |
+
"place": "Iowa State Capitol",
|
| 358 |
+
"city": "Des Moines",
|
| 359 |
+
"country": "United States",
|
| 360 |
+
"continent": "North America",
|
| 361 |
+
"mode": "walking",
|
| 362 |
+
"prompt": "A first-person POV walking through the gold-leafed central dome and ornate stone facade of the Iowa State Capitol rising above its landscaped grounds.",
|
| 363 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 364 |
+
"ref_image": "wikimedia_famous_places_usa/029_Iowa_Iowa_State_Capitol.jpg",
|
| 365 |
+
"source_url": "https://en.wikipedia.org/wiki/Iowa_State_Capitol"
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"id": "monument_rocks",
|
| 369 |
+
"place": "Monument Rocks",
|
| 370 |
+
"city": "Kansas",
|
| 371 |
+
"country": "United States",
|
| 372 |
+
"continent": "North America",
|
| 373 |
+
"mode": "driving",
|
| 374 |
+
"prompt": "A dashcam POV driving through a dirt track across the flat Kansas prairie leading to the chalky white spires and arches of Monument Rocks rising from the grassland.",
|
| 375 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 376 |
+
"ref_image": "wikimedia_famous_places_usa/065_Kansas_Monument_Rocks.jpg",
|
| 377 |
+
"source_url": "https://en.wikipedia.org/wiki/Monument_Rocks_(Kansas)"
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"id": "mammoth_cave_national_park",
|
| 381 |
+
"place": "Mammoth Cave National Park",
|
| 382 |
+
"city": "Kentucky",
|
| 383 |
+
"country": "United States",
|
| 384 |
+
"continent": "North America",
|
| 385 |
+
"mode": "walking",
|
| 386 |
+
"prompt": "A first-person POV walking through a lantern-lit path through the vast limestone passages and towering ceiling of Mammoth Cave, the world's longest known cave system.",
|
| 387 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 388 |
+
"ref_image": "wikimedia_famous_places_usa/031_Kentucky_Mammoth_Cave_National_Park.jpg",
|
| 389 |
+
"source_url": "https://en.wikipedia.org/wiki/Mammoth_Cave_National_Park"
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"id": "french_quarter",
|
| 393 |
+
"place": "French Quarter",
|
| 394 |
+
"city": "New Orleans",
|
| 395 |
+
"country": "United States",
|
| 396 |
+
"continent": "North America",
|
| 397 |
+
"mode": "walking",
|
| 398 |
+
"prompt": "A first-person POV walking through the wrought-iron balconies and colorful Creole townhouses lining a narrow French Quarter street, jazz spilling from open doorways.",
|
| 399 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 400 |
+
"ref_image": "wikimedia_famous_places_usa/032_Louisiana_French_Quarter.jpg",
|
| 401 |
+
"source_url": "https://en.wikipedia.org/wiki/French_Quarter"
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"id": "acadia_national_park",
|
| 405 |
+
"place": "Acadia National Park",
|
| 406 |
+
"city": "Maine",
|
| 407 |
+
"country": "United States",
|
| 408 |
+
"continent": "North America",
|
| 409 |
+
"mode": "driving",
|
| 410 |
+
"prompt": "A dashcam POV driving through Park Loop Road hugging Acadia's granite coastline, pink granite cliffs and wind-bent pines meeting the cold Atlantic surf.",
|
| 411 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 412 |
+
"ref_image": "wikimedia_famous_places_usa/066_Maine_Acadia_National_Park.JPG",
|
| 413 |
+
"source_url": "https://en.wikipedia.org/wiki/Acadia_National_Park"
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"id": "fort_mchenry",
|
| 417 |
+
"place": "Fort McHenry",
|
| 418 |
+
"city": "Baltimore",
|
| 419 |
+
"country": "United States",
|
| 420 |
+
"continent": "North America",
|
| 421 |
+
"mode": "walking",
|
| 422 |
+
"prompt": "A first-person POV walking through the star-shaped brick ramparts and giant American flag of Fort McHenry overlooking Baltimore's harbor.",
|
| 423 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 424 |
+
"ref_image": "wikimedia_famous_places_usa/034_Maryland_Fort_McHenry.jpg",
|
| 425 |
+
"source_url": "https://en.wikipedia.org/wiki/Fort_McHenry"
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"id": "fenway_park",
|
| 429 |
+
"place": "Fenway Park",
|
| 430 |
+
"city": "Boston",
|
| 431 |
+
"country": "United States",
|
| 432 |
+
"continent": "North America",
|
| 433 |
+
"mode": "walking",
|
| 434 |
+
"prompt": "A first-person POV walking through the Green Monster's towering left-field wall and worn brick facade of Fenway Park, Boston's skyline visible beyond the stands.",
|
| 435 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 436 |
+
"ref_image": "wikimedia_famous_places_usa/035_Massachusetts_Fenway_Park.jpg",
|
| 437 |
+
"source_url": "https://en.wikipedia.org/wiki/Fenway_Park"
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"id": "mackinac_bridge",
|
| 441 |
+
"place": "Mackinac Bridge",
|
| 442 |
+
"city": "Michigan",
|
| 443 |
+
"country": "United States",
|
| 444 |
+
"continent": "North America",
|
| 445 |
+
"mode": "driving",
|
| 446 |
+
"prompt": "A dashcam POV driving through the tall suspension towers and long green deck of the Mackinac Bridge spanning the straits between Michigan's two peninsulas.",
|
| 447 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 448 |
+
"ref_image": "wikimedia_famous_places_usa/036_Michigan_Mackinac_Bridge.jpg",
|
| 449 |
+
"source_url": "https://en.wikipedia.org/wiki/Mackinac_Bridge"
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"id": "mall_of_america",
|
| 453 |
+
"place": "Mall of America",
|
| 454 |
+
"city": "Bloomington, Minnesota",
|
| 455 |
+
"country": "United States",
|
| 456 |
+
"continent": "North America",
|
| 457 |
+
"mode": "walking",
|
| 458 |
+
"prompt": "A first-person POV walking through the glass-roofed atrium and indoor amusement rides of the Mall of America's central Nickelodeon Universe park.",
|
| 459 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 460 |
+
"ref_image": "wikimedia_famous_places_usa/037_Minnesota_Mall_of_America.jpg",
|
| 461 |
+
"source_url": "https://en.wikipedia.org/wiki/Mall_of_America"
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"id": "vicksburg_national_military_park",
|
| 465 |
+
"place": "Vicksburg National Military Park",
|
| 466 |
+
"city": "Mississippi",
|
| 467 |
+
"country": "United States",
|
| 468 |
+
"continent": "North America",
|
| 469 |
+
"mode": "driving",
|
| 470 |
+
"prompt": "A dashcam POV driving through a park tour road winding past rows of cannons and stone monuments across the wooded battlefield ridges of Vicksburg National Military Park.",
|
| 471 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 472 |
+
"ref_image": "wikimedia_famous_places_usa/038_Mississippi_Vicksburg_National_Military_Park.jpg",
|
| 473 |
+
"source_url": "https://en.wikipedia.org/wiki/Vicksburg_National_Military_Park"
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"id": "gateway_arch",
|
| 477 |
+
"place": "Gateway Arch",
|
| 478 |
+
"city": "St. Louis",
|
| 479 |
+
"country": "United States",
|
| 480 |
+
"continent": "North America",
|
| 481 |
+
"mode": "walking",
|
| 482 |
+
"prompt": "A first-person POV walking through the gleaming stainless-steel catenary curve of the Gateway Arch rising above the Mississippi riverfront.",
|
| 483 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 484 |
+
"ref_image": "wikimedia_famous_places_usa/039_Missouri_Gateway_Arch.jpg",
|
| 485 |
+
"source_url": "https://en.wikipedia.org/wiki/Gateway_Arch"
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"id": "glacier_national_park",
|
| 489 |
+
"place": "Glacier National Park",
|
| 490 |
+
"city": "Montana",
|
| 491 |
+
"country": "United States",
|
| 492 |
+
"continent": "North America",
|
| 493 |
+
"mode": "driving",
|
| 494 |
+
"prompt": "A dashcam POV driving through Going-to-the-Sun Road cut into sheer mountainsides in Glacier National Park, snowfields and turquoise alpine lakes framed by jagged peaks.",
|
| 495 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 496 |
+
"ref_image": "wikimedia_famous_places_usa/061_Montana_Glacier_National_Park.jpg",
|
| 497 |
+
"source_url": "https://en.wikipedia.org/wiki/Glacier_National_Park_(U.S.)"
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"id": "chimney_rock__nebraska",
|
| 501 |
+
"place": "Chimney Rock (Nebraska)",
|
| 502 |
+
"city": "Nebraska",
|
| 503 |
+
"country": "United States",
|
| 504 |
+
"continent": "North America",
|
| 505 |
+
"mode": "driving",
|
| 506 |
+
"prompt": "A dashcam POV driving through a lone highway across the flat Nebraska plains with the narrow spire of Chimney Rock rising abruptly from the prairie.",
|
| 507 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 508 |
+
"ref_image": "wikimedia_famous_places_usa/062_Nebraska_Chimney_Rock_Nebraska.jpg",
|
| 509 |
+
"source_url": "https://en.wikipedia.org/wiki/Chimney_Rock_National_Historic_Site"
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"id": "mount_washington__new_hampshire",
|
| 513 |
+
"place": "Mount Washington (New Hampshire)",
|
| 514 |
+
"city": "New Hampshire",
|
| 515 |
+
"country": "United States",
|
| 516 |
+
"continent": "North America",
|
| 517 |
+
"mode": "driving",
|
| 518 |
+
"prompt": "A dashcam POV driving through the Mount Washington Auto Road climbing a steep, rocky, often fog-wrapped New England peak toward its exposed summit.",
|
| 519 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 520 |
+
"ref_image": "wikimedia_famous_places_usa/042_New_Hampshire_Mount_Washington_New_Hampshire.jpg",
|
| 521 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Washington"
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"id": "atlantic_city_boardwalk",
|
| 525 |
+
"place": "Atlantic City Boardwalk",
|
| 526 |
+
"city": "Atlantic City",
|
| 527 |
+
"country": "United States",
|
| 528 |
+
"continent": "North America",
|
| 529 |
+
"mode": "walking",
|
| 530 |
+
"prompt": "A first-person POV walking through the wide wooden Atlantic City Boardwalk lined with casinos and amusement piers, the Atlantic Ocean surf visible just beyond the railing.",
|
| 531 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 532 |
+
"ref_image": "wikimedia_famous_places_usa/043_New_Jersey_Atlantic_City_Boardwalk.jpg",
|
| 533 |
+
"source_url": "https://en.wikipedia.org/wiki/Atlantic_City_Boardwalk"
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"id": "carlsbad_caverns_national_park",
|
| 537 |
+
"place": "Carlsbad Caverns National Park",
|
| 538 |
+
"city": "New Mexico",
|
| 539 |
+
"country": "United States",
|
| 540 |
+
"continent": "North America",
|
| 541 |
+
"mode": "walking",
|
| 542 |
+
"prompt": "A first-person POV walking through a winding underground trail descending into Carlsbad Caverns' vast limestone chambers, stalactites and stalagmites lit dramatically from below.",
|
| 543 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 544 |
+
"ref_image": "wikimedia_famous_places_usa/044_New_Mexico_Carlsbad_Caverns_National_Park.jpg",
|
| 545 |
+
"source_url": "https://en.wikipedia.org/wiki/Carlsbad_Caverns_National_Park"
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"id": "biltmore_estate",
|
| 549 |
+
"place": "Biltmore Estate",
|
| 550 |
+
"city": "Asheville, North Carolina",
|
| 551 |
+
"country": "United States",
|
| 552 |
+
"continent": "North America",
|
| 553 |
+
"mode": "walking",
|
| 554 |
+
"prompt": "A first-person POV walking through the sprawling chateau-style stone facade and manicured formal gardens of the Biltmore Estate.",
|
| 555 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 556 |
+
"ref_image": "wikimedia_famous_places_usa/045_North_Carolina_Biltmore_Estate.jpg",
|
| 557 |
+
"source_url": "https://en.wikipedia.org/wiki/Biltmore_Estate"
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"id": "theodore_roosevelt_national_park",
|
| 561 |
+
"place": "Theodore Roosevelt National Park",
|
| 562 |
+
"city": "North Dakota",
|
| 563 |
+
"country": "United States",
|
| 564 |
+
"continent": "North America",
|
| 565 |
+
"mode": "driving",
|
| 566 |
+
"prompt": "A dashcam POV driving through a scenic loop road through the eroded, striped badlands buttes of Theodore Roosevelt National Park, bison grazing near the roadside.",
|
| 567 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 568 |
+
"ref_image": "wikimedia_famous_places_usa/067_North_Dakota_Theodore_Roosevelt_National_Park.jpg",
|
| 569 |
+
"source_url": "https://en.wikipedia.org/wiki/Theodore_Roosevelt_National_Park"
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"id": "rock_and_roll_hall_of_fame",
|
| 573 |
+
"place": "Rock and Roll Hall of Fame",
|
| 574 |
+
"city": "Cleveland",
|
| 575 |
+
"country": "United States",
|
| 576 |
+
"continent": "North America",
|
| 577 |
+
"mode": "walking",
|
| 578 |
+
"prompt": "A first-person POV walking through the glass pyramid facade of the Rock and Roll Hall of Fame on Cleveland's Lake Erie waterfront.",
|
| 579 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 580 |
+
"ref_image": "wikimedia_famous_places_usa/068_Ohio_Rock_and_Roll_Hall_of_Fame.jpg",
|
| 581 |
+
"source_url": "https://en.wikipedia.org/wiki/Rock_and_Roll_Hall_of_Fame"
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"id": "oklahoma_city_national_memorial",
|
| 585 |
+
"place": "Oklahoma City National Memorial",
|
| 586 |
+
"city": "Oklahoma City",
|
| 587 |
+
"country": "United States",
|
| 588 |
+
"continent": "North America",
|
| 589 |
+
"mode": "walking",
|
| 590 |
+
"prompt": "A first-person POV walking through rows of empty bronze chairs on the reflecting pool lawn of the Oklahoma City National Memorial, the Survivor Tree standing nearby.",
|
| 591 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 592 |
+
"ref_image": "wikimedia_famous_places_usa/063_Oklahoma_Oklahoma_City_National_Memorial.jpg",
|
| 593 |
+
"source_url": "https://en.wikipedia.org/wiki/Oklahoma_City_National_Memorial"
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"id": "crater_lake_national_park",
|
| 597 |
+
"place": "Crater Lake National Park",
|
| 598 |
+
"city": "Oregon",
|
| 599 |
+
"country": "United States",
|
| 600 |
+
"continent": "North America",
|
| 601 |
+
"mode": "driving",
|
| 602 |
+
"prompt": "A dashcam POV driving through Rim Drive circling high above Crater Lake's impossibly deep blue volcanic caldera water, Wizard Island visible below.",
|
| 603 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 604 |
+
"ref_image": "wikimedia_famous_places_usa/049_Oregon_Crater_Lake_National_Park.jpg",
|
| 605 |
+
"source_url": "https://en.wikipedia.org/wiki/Crater_Lake_National_Park"
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"id": "liberty_bell",
|
| 609 |
+
"place": "Liberty Bell",
|
| 610 |
+
"city": "Philadelphia",
|
| 611 |
+
"country": "United States",
|
| 612 |
+
"continent": "North America",
|
| 613 |
+
"mode": "walking",
|
| 614 |
+
"prompt": "A first-person POV walking through the cracked bronze Liberty Bell displayed in its glass pavilion, Independence Hall's brick facade visible through the windows behind it.",
|
| 615 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 616 |
+
"ref_image": "wikimedia_famous_places_usa/069_Pennsylvania_Liberty_Bell.jpg",
|
| 617 |
+
"source_url": "https://en.wikipedia.org/wiki/Liberty_Bell"
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"id": "the_breakers",
|
| 621 |
+
"place": "The Breakers",
|
| 622 |
+
"city": "Newport, Rhode Island",
|
| 623 |
+
"country": "United States",
|
| 624 |
+
"continent": "North America",
|
| 625 |
+
"mode": "walking",
|
| 626 |
+
"prompt": "A first-person POV walking through the ornate limestone facade and manicured oceanfront lawn of The Breakers mansion, waves crashing on the rocks below.",
|
| 627 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 628 |
+
"ref_image": "wikimedia_famous_places_usa/051_Rhode_Island_The_Breakers.jpg",
|
| 629 |
+
"source_url": "https://en.wikipedia.org/wiki/The_Breakers"
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"id": "fort_sumter",
|
| 633 |
+
"place": "Fort Sumter",
|
| 634 |
+
"city": "Charleston, South Carolina",
|
| 635 |
+
"country": "United States",
|
| 636 |
+
"continent": "North America",
|
| 637 |
+
"mode": "walking",
|
| 638 |
+
"prompt": "A first-person POV walking through the low brick ramparts and cannons of Fort Sumter rising from its small island in Charleston harbor.",
|
| 639 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 640 |
+
"ref_image": "wikimedia_famous_places_usa/070_South_Carolina_Fort_Sumter.jpg",
|
| 641 |
+
"source_url": "https://en.wikipedia.org/wiki/Fort_Sumter"
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"id": "great_smoky_mountains_national_park",
|
| 645 |
+
"place": "Great Smoky Mountains National Park",
|
| 646 |
+
"city": "Tennessee",
|
| 647 |
+
"country": "United States",
|
| 648 |
+
"continent": "North America",
|
| 649 |
+
"mode": "driving",
|
| 650 |
+
"prompt": "A dashcam POV driving through Newfound Gap Road climbing through misty blue-tinged ridgelines of the Great Smoky Mountains, dense forest stretching to the horizon.",
|
| 651 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 652 |
+
"ref_image": "wikimedia_famous_places_usa/064_Tennessee_Great_Smoky_Mountains_National_Park.jpg",
|
| 653 |
+
"source_url": "https://en.wikipedia.org/wiki/Great_Smoky_Mountains_National_Park"
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"id": "the_alamo",
|
| 657 |
+
"place": "The Alamo",
|
| 658 |
+
"city": "San Antonio",
|
| 659 |
+
"country": "United States",
|
| 660 |
+
"continent": "North America",
|
| 661 |
+
"mode": "walking",
|
| 662 |
+
"prompt": "A first-person POV walking through the curved stone facade and bell-shaped parapet of the Alamo mission chapel in downtown San Antonio.",
|
| 663 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 664 |
+
"ref_image": "wikimedia_famous_places_usa/054_Texas_The_Alamo.jpg",
|
| 665 |
+
"source_url": "https://en.wikipedia.org/wiki/Battle_of_the_Alamo"
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"id": "shelburne_farms",
|
| 669 |
+
"place": "Shelburne Farms",
|
| 670 |
+
"city": "Shelburne, Vermont",
|
| 671 |
+
"country": "United States",
|
| 672 |
+
"continent": "North America",
|
| 673 |
+
"mode": "driving",
|
| 674 |
+
"prompt": "A dashcam POV driving through a pastoral farm road past red barns and grazing fields at Shelburne Farms, Lake Champlain and the Adirondacks visible in the distance.",
|
| 675 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 676 |
+
"ref_image": "wikimedia_famous_places_usa/055_Vermont_Shelburne_Farms.png",
|
| 677 |
+
"source_url": "https://en.wikipedia.org/wiki/Shelburne_Farms"
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"id": "monticello",
|
| 681 |
+
"place": "Monticello",
|
| 682 |
+
"city": "Charlottesville, Virginia",
|
| 683 |
+
"country": "United States",
|
| 684 |
+
"continent": "North America",
|
| 685 |
+
"mode": "walking",
|
| 686 |
+
"prompt": "A first-person POV walking through the red-brick, white-domed neoclassical facade of Monticello overlooking its terraced gardens in the Virginia hills.",
|
| 687 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 688 |
+
"ref_image": "wikimedia_famous_places_usa/056_Virginia_Monticello.JPG",
|
| 689 |
+
"source_url": "https://en.wikipedia.org/wiki/Monticello"
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"id": "new_river_gorge_bridge",
|
| 693 |
+
"place": "New River Gorge Bridge",
|
| 694 |
+
"city": "West Virginia",
|
| 695 |
+
"country": "United States",
|
| 696 |
+
"continent": "North America",
|
| 697 |
+
"mode": "driving",
|
| 698 |
+
"prompt": "A dashcam POV driving through a steel arch bridge deck crossing high above the deep forested New River Gorge.",
|
| 699 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 700 |
+
"ref_image": "wikimedia_famous_places_usa/057_West_Virginia_New_River_Gorge_Bridge.jpg",
|
| 701 |
+
"source_url": "https://en.wikipedia.org/wiki/New_River_Gorge_Bridge"
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"id": "wisconsin_state_capitol",
|
| 705 |
+
"place": "Wisconsin State Capitol",
|
| 706 |
+
"city": "Madison",
|
| 707 |
+
"country": "United States",
|
| 708 |
+
"continent": "North America",
|
| 709 |
+
"mode": "walking",
|
| 710 |
+
"prompt": "A first-person POV walking through the white granite dome of the Wisconsin State Capitol rising above Capitol Square, State Street stretching away from its base.",
|
| 711 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 712 |
+
"ref_image": "wikimedia_famous_places_usa/058_Wisconsin_Wisconsin_State_Capitol.jpg",
|
| 713 |
+
"source_url": "https://en.wikipedia.org/wiki/Wisconsin_State_Capitol"
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"id": "lincoln_memorial",
|
| 717 |
+
"place": "Lincoln Memorial",
|
| 718 |
+
"city": "Washington, D.C.",
|
| 719 |
+
"country": "United States",
|
| 720 |
+
"continent": "North America",
|
| 721 |
+
"mode": "walking",
|
| 722 |
+
"prompt": "A first-person POV walking through the towering marble columns and seated Lincoln statue inside the Lincoln Memorial, the National Mall's reflecting pool stretching out front.",
|
| 723 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 724 |
+
"ref_image": "wikimedia_famous_places_usa/059_Washington_D_C_Lincoln_Memorial.JPG",
|
| 725 |
+
"source_url": "https://en.wikipedia.org/wiki/Lincoln_Memorial"
|
| 726 |
+
}
|
| 727 |
+
]
|
| 728 |
+
}
|
bench_t2v_space/manifest_worldwide.json
ADDED
|
@@ -0,0 +1,1256 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "wikimedia-photo-grounded worldwide famous places (build_places.py + grounding_worldwide.py)",
|
| 3 |
+
"num_items": 103,
|
| 4 |
+
"modes": [
|
| 5 |
+
"driving",
|
| 6 |
+
"walking"
|
| 7 |
+
],
|
| 8 |
+
"sampling": {
|
| 9 |
+
"width": 1280,
|
| 10 |
+
"height": 720,
|
| 11 |
+
"num_frames": 189,
|
| 12 |
+
"fps": 24,
|
| 13 |
+
"num_inference_steps": 35,
|
| 14 |
+
"guidance_scale": 6.0,
|
| 15 |
+
"flow_shift": 10.0,
|
| 16 |
+
"seed": 0
|
| 17 |
+
},
|
| 18 |
+
"items": [
|
| 19 |
+
{
|
| 20 |
+
"id": "eiffel_tower",
|
| 21 |
+
"place": "Eiffel Tower",
|
| 22 |
+
"city": "Paris",
|
| 23 |
+
"country": "France",
|
| 24 |
+
"continent": "Europe",
|
| 25 |
+
"mode": "walking",
|
| 26 |
+
"prompt": "A first-person POV walking through the Eiffel Tower's iron lattice legs and arched base rising directly overhead, the Champ de Mars lawns and Trocadero fountains framing it from below.",
|
| 27 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 28 |
+
"ref_image": "wikimedia_famous_places/001_Eiffel_Tower.jpg",
|
| 29 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:France_Paris_Eiffel_Tower_1994.png"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"id": "great_wall_of_china",
|
| 33 |
+
"place": "Great Wall of China",
|
| 34 |
+
"city": "Badaling",
|
| 35 |
+
"country": "China",
|
| 36 |
+
"continent": "Asia",
|
| 37 |
+
"mode": "walking",
|
| 38 |
+
"prompt": "A first-person POV walking through the Great Wall's crenellated stone ramparts and watchtowers snaking along steep forested mountain ridges as far as the eye can see.",
|
| 39 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 40 |
+
"ref_image": "wikimedia_famous_places/002_Great_Wall_of_China.jpg",
|
| 41 |
+
"source_url": "https://en.wikipedia.org/wiki/Great_Wall_of_China"
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"id": "taj_mahal",
|
| 45 |
+
"place": "Taj Mahal",
|
| 46 |
+
"city": "Agra",
|
| 47 |
+
"country": "India",
|
| 48 |
+
"continent": "Asia",
|
| 49 |
+
"mode": "walking",
|
| 50 |
+
"prompt": "A first-person POV walking through the Taj Mahal's white marble dome and four minarets mirrored in the long reflecting pool of its Mughal garden.",
|
| 51 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 52 |
+
"ref_image": "wikimedia_famous_places/003_Taj_Mahal.jpg",
|
| 53 |
+
"source_url": "https://en.wikipedia.org/wiki/Taj_Mahal"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"id": "colosseum",
|
| 57 |
+
"place": "Colosseum",
|
| 58 |
+
"city": "Rome",
|
| 59 |
+
"country": "Italy",
|
| 60 |
+
"continent": "Europe",
|
| 61 |
+
"mode": "walking",
|
| 62 |
+
"prompt": "A first-person POV walking through the Colosseum's tiered stone arches and broken upper tier looming over the ancient paving stones of the Roman Forum nearby.",
|
| 63 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 64 |
+
"ref_image": "wikimedia_famous_places/004_Colosseum.jpg",
|
| 65 |
+
"source_url": "https://en.wikipedia.org/wiki/Colosseum"
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"id": "statue_of_liberty",
|
| 69 |
+
"place": "Statue of Liberty",
|
| 70 |
+
"city": "New York",
|
| 71 |
+
"country": "United States",
|
| 72 |
+
"continent": "North America",
|
| 73 |
+
"mode": "walking",
|
| 74 |
+
"prompt": "A first-person POV walking through the green copper Statue of Liberty with her raised torch and spiked crown standing on Liberty Island, the Manhattan skyline visible across the harbor.",
|
| 75 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 76 |
+
"ref_image": "wikimedia_famous_places/005_Statue_of_Liberty.jpg",
|
| 77 |
+
"source_url": "https://en.wikipedia.org/wiki/Statue_of_Liberty"
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"id": "great_pyramid_of_giza",
|
| 81 |
+
"place": "Great Pyramid of Giza",
|
| 82 |
+
"city": "Giza",
|
| 83 |
+
"country": "Egypt",
|
| 84 |
+
"continent": "Africa",
|
| 85 |
+
"mode": "walking",
|
| 86 |
+
"prompt": "A first-person POV walking through the massive limestone blocks of the Great Pyramid rising from the sandy Giza plateau, the Sphinx crouched nearby and desert stretching to the horizon.",
|
| 87 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 88 |
+
"ref_image": "wikimedia_famous_places/006_Great_Pyramid_of_Giza.jpg",
|
| 89 |
+
"source_url": "https://en.wikipedia.org/wiki/Great_Pyramid_of_Giza"
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"id": "machu_picchu",
|
| 93 |
+
"place": "Machu Picchu",
|
| 94 |
+
"city": "Cusco Region",
|
| 95 |
+
"country": "Peru",
|
| 96 |
+
"continent": "South America",
|
| 97 |
+
"mode": "walking",
|
| 98 |
+
"prompt": "A first-person POV walking through the terraced stone ruins of Machu Picchu perched on a green mountain saddle, steep jungle-covered peaks and Huayna Picchu rising behind.",
|
| 99 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 100 |
+
"ref_image": "wikimedia_famous_places/007_Machu_Picchu.jpg",
|
| 101 |
+
"source_url": "https://en.wikipedia.org/wiki/Machu_Picchu"
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"id": "christ_the_redeemer",
|
| 105 |
+
"place": "Christ the Redeemer",
|
| 106 |
+
"city": "Rio de Janeiro",
|
| 107 |
+
"country": "Brazil",
|
| 108 |
+
"continent": "South America",
|
| 109 |
+
"mode": "walking",
|
| 110 |
+
"prompt": "A first-person POV walking through the towering Art Deco statue of Christ the Redeemer with outstretched arms atop Corcovado mountain, Rio's beaches and Sugarloaf visible far below.",
|
| 111 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 112 |
+
"ref_image": "wikimedia_famous_places/008_Christ_the_Redeemer.jpg",
|
| 113 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Christ_the_Redeemer_-_Cristo_Redentor.jpg"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"id": "sydney_opera_house",
|
| 117 |
+
"place": "Sydney Opera House",
|
| 118 |
+
"city": "Sydney",
|
| 119 |
+
"country": "Australia",
|
| 120 |
+
"continent": "Oceania",
|
| 121 |
+
"mode": "walking",
|
| 122 |
+
"prompt": "A first-person POV walking through the white sail-shaped shells of the Sydney Opera House on Bennelong Point, the Harbour Bridge's steel arch spanning the water behind it.",
|
| 123 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 124 |
+
"ref_image": "wikimedia_famous_places/009_Sydney_Opera_House.jpg",
|
| 125 |
+
"source_url": "https://en.wikipedia.org/wiki/Sydney_Opera_House"
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"id": "big_ben",
|
| 129 |
+
"place": "Big Ben",
|
| 130 |
+
"city": "London",
|
| 131 |
+
"country": "United Kingdom",
|
| 132 |
+
"continent": "Europe",
|
| 133 |
+
"mode": "walking",
|
| 134 |
+
"prompt": "A first-person POV walking through the Gothic clock tower of Big Ben rising above the Palace of Westminster, red buses crossing Westminster Bridge over the Thames alongside.",
|
| 135 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 136 |
+
"ref_image": "wikimedia_famous_places/010_Big_Ben.jpg",
|
| 137 |
+
"source_url": "https://en.wikipedia.org/wiki/Big_Ben"
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"id": "stonehenge",
|
| 141 |
+
"place": "Stonehenge",
|
| 142 |
+
"city": "Wiltshire",
|
| 143 |
+
"country": "United Kingdom",
|
| 144 |
+
"continent": "Europe",
|
| 145 |
+
"mode": "walking",
|
| 146 |
+
"prompt": "A first-person POV walking through the massive gray sarsen stones of Stonehenge arranged in their ancient circle on the open, windswept Salisbury Plain.",
|
| 147 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 148 |
+
"ref_image": "wikimedia_famous_places/011_Stonehenge.jpg",
|
| 149 |
+
"source_url": "https://en.wikipedia.org/wiki/Stonehenge"
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"id": "acropolis_of_athens",
|
| 153 |
+
"place": "Acropolis of Athens",
|
| 154 |
+
"city": "Athens",
|
| 155 |
+
"country": "Greece",
|
| 156 |
+
"continent": "Europe",
|
| 157 |
+
"mode": "walking",
|
| 158 |
+
"prompt": "A first-person POV walking through the marble columns of the Parthenon crowning the rocky Acropolis hill, whitewashed Athens sprawling beneath in every direction.",
|
| 159 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 160 |
+
"ref_image": "wikimedia_famous_places/012_Acropolis_of_Athens.jpg",
|
| 161 |
+
"source_url": "https://en.wikipedia.org/wiki/Acropolis_of_Athens"
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"id": "sagrada_familia",
|
| 165 |
+
"place": "Sagrada Familia",
|
| 166 |
+
"city": "Barcelona",
|
| 167 |
+
"country": "Spain",
|
| 168 |
+
"continent": "Europe",
|
| 169 |
+
"mode": "walking",
|
| 170 |
+
"prompt": "A first-person POV walking through Gaudi's Sagrada Familia with its organic stone spires and intricate carved facades towering over the surrounding Barcelona street grid.",
|
| 171 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 172 |
+
"ref_image": "wikimedia_famous_places/013_Sagrada_Familia.jpg",
|
| 173 |
+
"source_url": "https://en.wikipedia.org/wiki/Sagrada_Fam%C3%ADlia"
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"id": "neuschwanstein_castle",
|
| 177 |
+
"place": "Neuschwanstein Castle",
|
| 178 |
+
"city": "Schwangau",
|
| 179 |
+
"country": "Germany",
|
| 180 |
+
"continent": "Europe",
|
| 181 |
+
"mode": "driving",
|
| 182 |
+
"prompt": "A dashcam POV driving through a forested mountain road curving up toward the fairy-tale white towers and turrets of Neuschwanstein Castle perched on its rocky outcrop.",
|
| 183 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 184 |
+
"ref_image": "wikimedia_famous_places/014_Neuschwanstein_Castle.jpg",
|
| 185 |
+
"source_url": "https://en.wikipedia.org/wiki/Neuschwanstein_Castle"
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"id": "leaning_tower_of_pisa",
|
| 189 |
+
"place": "Leaning Tower of Pisa",
|
| 190 |
+
"city": "Pisa",
|
| 191 |
+
"country": "Italy",
|
| 192 |
+
"continent": "Europe",
|
| 193 |
+
"mode": "walking",
|
| 194 |
+
"prompt": "A first-person POV walking through the white marble tiers of the Leaning Tower of Pisa tilting above the green lawn of the Field of Miracles, the cathedral and baptistery nearby.",
|
| 195 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 196 |
+
"ref_image": "wikimedia_famous_places/015_Leaning_Tower_of_Pisa.jpg",
|
| 197 |
+
"source_url": "https://en.wikipedia.org/wiki/Leaning_Tower_of_Pisa"
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"id": "mount_fuji",
|
| 201 |
+
"place": "Mount Fuji",
|
| 202 |
+
"city": "Honshu",
|
| 203 |
+
"country": "Japan",
|
| 204 |
+
"continent": "Asia",
|
| 205 |
+
"mode": "driving",
|
| 206 |
+
"prompt": "A dashcam POV driving through a winding highway through pine forest with the snow-capped, near-perfect cone of Mount Fuji rising alone against the sky.",
|
| 207 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 208 |
+
"ref_image": "wikimedia_famous_places/016_Mount_Fuji.jpg",
|
| 209 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Fuji"
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"id": "golden_gate_bridge",
|
| 213 |
+
"place": "Golden Gate Bridge",
|
| 214 |
+
"city": "San Francisco",
|
| 215 |
+
"country": "United States",
|
| 216 |
+
"continent": "North America",
|
| 217 |
+
"mode": "driving",
|
| 218 |
+
"prompt": "A dashcam POV driving through the burnt-orange towers and suspension cables of the Golden Gate Bridge stretching across the bay fog toward the San Francisco skyline.",
|
| 219 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 220 |
+
"ref_image": "wikimedia_famous_places/017_Golden_Gate_Bridge.jpg",
|
| 221 |
+
"source_url": "https://en.wikipedia.org/wiki/Golden_Gate_Bridge"
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"id": "burj_khalifa",
|
| 225 |
+
"place": "Burj Khalifa",
|
| 226 |
+
"city": "Dubai",
|
| 227 |
+
"country": "United Arab Emirates",
|
| 228 |
+
"continent": "Asia",
|
| 229 |
+
"mode": "walking",
|
| 230 |
+
"prompt": "A first-person POV walking through the needle-thin, tiered glass spire of the Burj Khalifa soaring above Dubai's fountain plaza and surrounding glass towers.",
|
| 231 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 232 |
+
"ref_image": "wikimedia_famous_places/018_Burj_Khalifa.jpg",
|
| 233 |
+
"source_url": "https://en.wikipedia.org/wiki/Burj_Khalifa"
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"id": "petra",
|
| 237 |
+
"place": "Petra",
|
| 238 |
+
"city": "Petra",
|
| 239 |
+
"country": "Jordan",
|
| 240 |
+
"continent": "Asia",
|
| 241 |
+
"mode": "walking",
|
| 242 |
+
"prompt": "A first-person POV walking through the narrow sandstone canyon of the Siq opening onto Petra's rose-colored Treasury facade carved directly into the cliff face.",
|
| 243 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 244 |
+
"ref_image": "wikimedia_famous_places/019_Petra.jpg",
|
| 245 |
+
"source_url": "https://en.wikipedia.org/wiki/Petra"
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"id": "angkor_wat",
|
| 249 |
+
"place": "Angkor Wat",
|
| 250 |
+
"city": "Siem Reap",
|
| 251 |
+
"country": "Cambodia",
|
| 252 |
+
"continent": "Asia",
|
| 253 |
+
"mode": "walking",
|
| 254 |
+
"prompt": "A first-person POV walking through Angkor Wat's five lotus-bud stone towers reflected in its moat, the causeway lined with naga balustrades leading toward the temple.",
|
| 255 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 256 |
+
"ref_image": "wikimedia_famous_places/020_Angkor_Wat.jpg",
|
| 257 |
+
"source_url": "https://en.wikipedia.org/wiki/Angkor_Wat"
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"id": "chichen_itza",
|
| 261 |
+
"place": "Chichen Itza",
|
| 262 |
+
"city": "Yucatan",
|
| 263 |
+
"country": "Mexico",
|
| 264 |
+
"continent": "North America",
|
| 265 |
+
"mode": "walking",
|
| 266 |
+
"prompt": "A first-person POV walking through the stepped stone pyramid of El Castillo at Chichen Itza rising from a flat grassy plaza ringed by carved Mayan ruins.",
|
| 267 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 268 |
+
"ref_image": "wikimedia_famous_places/021_Chichen_Itza.jpg",
|
| 269 |
+
"source_url": "https://en.wikipedia.org/wiki/Chichen_Itza"
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"id": "niagara_falls",
|
| 273 |
+
"place": "Niagara Falls",
|
| 274 |
+
"city": "Niagara Falls",
|
| 275 |
+
"country": "Canada",
|
| 276 |
+
"continent": "North America",
|
| 277 |
+
"mode": "walking",
|
| 278 |
+
"prompt": "A first-person POV walking through the thundering curtain of Niagara Falls' Horseshoe Falls throwing up clouds of mist, tour boats visible in the churning water below.",
|
| 279 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 280 |
+
"ref_image": "wikimedia_famous_places/022_Niagara_Falls.jpg",
|
| 281 |
+
"source_url": "https://en.wikipedia.org/wiki/Niagara_Falls"
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"id": "grand_canyon",
|
| 285 |
+
"place": "Grand Canyon",
|
| 286 |
+
"city": "Arizona",
|
| 287 |
+
"country": "United States",
|
| 288 |
+
"continent": "North America",
|
| 289 |
+
"mode": "driving",
|
| 290 |
+
"prompt": "A dashcam POV driving through a rim-side highway along the Grand Canyon's South Rim, layered red-and-orange rock walls plunging away into a vast eroded gorge.",
|
| 291 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 292 |
+
"ref_image": "wikimedia_famous_places/023_Grand_Canyon.jpg",
|
| 293 |
+
"source_url": "https://en.wikipedia.org/wiki/Grand_Canyon"
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"id": "mount_rushmore",
|
| 297 |
+
"place": "Mount Rushmore",
|
| 298 |
+
"city": "South Dakota",
|
| 299 |
+
"country": "United States",
|
| 300 |
+
"continent": "North America",
|
| 301 |
+
"mode": "walking",
|
| 302 |
+
"prompt": "A first-person POV walking through the four monumental granite presidential faces of Mount Rushmore carved into the pine-covered Black Hills mountainside.",
|
| 303 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 304 |
+
"ref_image": "wikimedia_famous_places/024_Mount_Rushmore.jpg",
|
| 305 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Rushmore"
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"id": "times_square",
|
| 309 |
+
"place": "Times Square",
|
| 310 |
+
"city": "New York",
|
| 311 |
+
"country": "United States",
|
| 312 |
+
"continent": "North America",
|
| 313 |
+
"mode": "walking",
|
| 314 |
+
"prompt": "A first-person POV walking through the towering, densely packed digital billboards and neon signage of Times Square glowing over crowded sidewalks and yellow taxis.",
|
| 315 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 316 |
+
"ref_image": "wikimedia_famous_places/025_Times_Square.jpg",
|
| 317 |
+
"source_url": "https://en.wikipedia.org/wiki/Times_Square"
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"id": "notre_dame_de_paris",
|
| 321 |
+
"place": "Notre-Dame de Paris",
|
| 322 |
+
"city": "Paris",
|
| 323 |
+
"country": "France",
|
| 324 |
+
"continent": "Europe",
|
| 325 |
+
"mode": "walking",
|
| 326 |
+
"prompt": "A first-person POV walking through the twin Gothic towers and flying buttresses of Notre-Dame cathedral rising above the Ile de la Cite on the Seine.",
|
| 327 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 328 |
+
"ref_image": "wikimedia_famous_places/026_Notre_Dame_de_Paris.jpg",
|
| 329 |
+
"source_url": "https://en.wikipedia.org/wiki/Notre-Dame_de_Paris"
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"id": "palace_of_versailles",
|
| 333 |
+
"place": "Palace of Versailles",
|
| 334 |
+
"city": "Versailles",
|
| 335 |
+
"country": "France",
|
| 336 |
+
"continent": "Europe",
|
| 337 |
+
"mode": "walking",
|
| 338 |
+
"prompt": "A first-person POV walking through the gilded facade and manicured geometric gardens of the Palace of Versailles stretching toward the Grand Canal fountain.",
|
| 339 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 340 |
+
"ref_image": "wikimedia_famous_places/027_Palace_of_Versailles.jpg",
|
| 341 |
+
"source_url": "https://en.wikipedia.org/wiki/Palace_of_Versailles"
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"id": "buckingham_palace",
|
| 345 |
+
"place": "Buckingham Palace",
|
| 346 |
+
"city": "London",
|
| 347 |
+
"country": "United Kingdom",
|
| 348 |
+
"continent": "Europe",
|
| 349 |
+
"mode": "walking",
|
| 350 |
+
"prompt": "A first-person POV walking through the neoclassical facade of Buckingham Palace behind its iron gates, the Victoria Memorial statue and the Mall avenue leading toward it.",
|
| 351 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 352 |
+
"ref_image": "wikimedia_famous_places/028_Buckingham_Palace.jpg",
|
| 353 |
+
"source_url": "https://en.wikipedia.org/wiki/Buckingham_Palace"
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"id": "tower_bridge",
|
| 357 |
+
"place": "Tower Bridge",
|
| 358 |
+
"city": "London",
|
| 359 |
+
"country": "United Kingdom",
|
| 360 |
+
"continent": "Europe",
|
| 361 |
+
"mode": "driving",
|
| 362 |
+
"prompt": "A dashcam POV driving through Tower Bridge's twin Victorian Gothic towers spanning the Thames, London's skyline and river traffic visible beneath the raised walkway.",
|
| 363 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 364 |
+
"ref_image": "wikimedia_famous_places/029_Tower_Bridge.jpg",
|
| 365 |
+
"source_url": "https://en.wikipedia.org/wiki/Tower_Bridge"
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"id": "st__basil_s_cathedral",
|
| 369 |
+
"place": "St. Basil's Cathedral",
|
| 370 |
+
"city": "Moscow",
|
| 371 |
+
"country": "Russia",
|
| 372 |
+
"continent": "Europe",
|
| 373 |
+
"mode": "walking",
|
| 374 |
+
"prompt": "A first-person POV walking through the colorful swirling onion domes of St. Basil's Cathedral rising at the edge of Red Square's cobblestone expanse.",
|
| 375 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 376 |
+
"ref_image": "wikimedia_famous_places/030_St_Basil_s_Cathedral.jpg",
|
| 377 |
+
"source_url": "https://en.wikipedia.org/wiki/Saint_Basil%27s_Cathedral"
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"id": "red_square",
|
| 381 |
+
"place": "Red Square",
|
| 382 |
+
"city": "Moscow",
|
| 383 |
+
"country": "Russia",
|
| 384 |
+
"continent": "Europe",
|
| 385 |
+
"mode": "walking",
|
| 386 |
+
"prompt": "A first-person POV walking through the vast cobblestone expanse of Red Square with the Kremlin's red brick walls and towers running along one side.",
|
| 387 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 388 |
+
"ref_image": "wikimedia_famous_places/031_Red_Square.jpg",
|
| 389 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Kremlin_and_Red_Square.1.jpg"
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"id": "forbidden_city",
|
| 393 |
+
"place": "Forbidden City",
|
| 394 |
+
"city": "Beijing",
|
| 395 |
+
"country": "China",
|
| 396 |
+
"continent": "Asia",
|
| 397 |
+
"mode": "walking",
|
| 398 |
+
"prompt": "A first-person POV walking through the vermilion walls and golden-tiled roofs of the Forbidden City's palace halls arranged along its long central courtyard axis.",
|
| 399 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 400 |
+
"ref_image": "wikimedia_famous_places/032_Forbidden_City.jpg",
|
| 401 |
+
"source_url": "https://en.wikipedia.org/wiki/Forbidden_City"
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"id": "terracotta_army",
|
| 405 |
+
"place": "Terracotta Army",
|
| 406 |
+
"city": "Xi'an",
|
| 407 |
+
"country": "China",
|
| 408 |
+
"continent": "Asia",
|
| 409 |
+
"mode": "walking",
|
| 410 |
+
"prompt": "A first-person POV walking through rows upon rows of life-sized terracotta soldier statues standing in excavated pits beneath a vast hangar-like museum roof.",
|
| 411 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 412 |
+
"ref_image": "wikimedia_famous_places/033_Terracotta_Army.jpg",
|
| 413 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:51714-Terracota-Army.jpg"
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"id": "himeji_castle",
|
| 417 |
+
"place": "Himeji Castle",
|
| 418 |
+
"city": "Himeji",
|
| 419 |
+
"country": "Japan",
|
| 420 |
+
"continent": "Asia",
|
| 421 |
+
"mode": "walking",
|
| 422 |
+
"prompt": "A first-person POV walking through the brilliant white plastered walls and stacked curved roofs of Himeji Castle rising above its stone ramparts and moat.",
|
| 423 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 424 |
+
"ref_image": "wikimedia_famous_places/034_Himeji_Castle.jpg",
|
| 425 |
+
"source_url": "https://en.wikipedia.org/wiki/Himeji_Castle"
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"id": "mount_everest",
|
| 429 |
+
"place": "Mount Everest",
|
| 430 |
+
"city": "Khumbu",
|
| 431 |
+
"country": "Nepal",
|
| 432 |
+
"continent": "Asia",
|
| 433 |
+
"mode": "walking",
|
| 434 |
+
"prompt": "A first-person POV walking through a rocky Himalayan trekking trail with the jagged snow-and-rock pyramid of Mount Everest towering above prayer-flag-strung ridgelines.",
|
| 435 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 436 |
+
"ref_image": "wikimedia_famous_places/035_Mount_Everest.jpg",
|
| 437 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Everest"
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"id": "table_mountain",
|
| 441 |
+
"place": "Table Mountain",
|
| 442 |
+
"city": "Cape Town",
|
| 443 |
+
"country": "South Africa",
|
| 444 |
+
"continent": "Africa",
|
| 445 |
+
"mode": "walking",
|
| 446 |
+
"prompt": "A first-person POV walking through the flat-topped sandstone summit of Table Mountain seen from its plateau boardwalk, Cape Town and the Atlantic coastline spread out far below.",
|
| 447 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 448 |
+
"ref_image": "wikimedia_famous_places/036_Table_Mountain.jpg",
|
| 449 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Table_Mountain_DanieVDM.jpg"
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"id": "victoria_falls",
|
| 453 |
+
"place": "Victoria Falls",
|
| 454 |
+
"city": "Livingstone",
|
| 455 |
+
"country": "Zambia",
|
| 456 |
+
"continent": "Africa",
|
| 457 |
+
"mode": "walking",
|
| 458 |
+
"prompt": "A first-person POV walking through the immense curtain of Victoria Falls plunging into the Zambezi gorge, spray rising in a permanent mist cloud over the rainforest edge.",
|
| 459 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 460 |
+
"ref_image": "wikimedia_famous_places/037_Victoria_Falls.jpg",
|
| 461 |
+
"source_url": "https://en.wikipedia.org/wiki/Victoria_Falls"
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"id": "uluru",
|
| 465 |
+
"place": "Uluru",
|
| 466 |
+
"city": "Uluru",
|
| 467 |
+
"country": "Australia",
|
| 468 |
+
"continent": "Oceania",
|
| 469 |
+
"mode": "walking",
|
| 470 |
+
"prompt": "A first-person POV walking through the massive red sandstone monolith of Uluru glowing rust-orange against the flat desert scrub stretching to the horizon.",
|
| 471 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 472 |
+
"ref_image": "wikimedia_famous_places/038_Uluru.jpg",
|
| 473 |
+
"source_url": "https://en.wikipedia.org/wiki/Uluru"
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"id": "great_barrier_reef",
|
| 477 |
+
"place": "Great Barrier Reef",
|
| 478 |
+
"city": "Queensland",
|
| 479 |
+
"country": "Australia",
|
| 480 |
+
"continent": "Oceania",
|
| 481 |
+
"mode": "walking",
|
| 482 |
+
"prompt": "A first-person POV walking through a wooden pontoon deck over the turquoise water of the Great Barrier Reef, coral formations visible just beneath the surface.",
|
| 483 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 484 |
+
"ref_image": "wikimedia_famous_places/039_Great_Barrier_Reef.jpg",
|
| 485 |
+
"source_url": "https://en.wikipedia.org/wiki/Great_Barrier_Reef"
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"id": "sydney_harbour_bridge",
|
| 489 |
+
"place": "Sydney Harbour Bridge",
|
| 490 |
+
"city": "Sydney",
|
| 491 |
+
"country": "Australia",
|
| 492 |
+
"continent": "Oceania",
|
| 493 |
+
"mode": "driving",
|
| 494 |
+
"prompt": "A dashcam POV driving through the steel arch of the Sydney Harbour Bridge spanning the harbor, the Opera House's white sails visible across the water.",
|
| 495 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 496 |
+
"ref_image": "wikimedia_famous_places/040_Sydney_Harbour_Bridge.jpg",
|
| 497 |
+
"source_url": "https://en.wikipedia.org/wiki/Sydney_Harbour_Bridge"
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"id": "cn_tower",
|
| 501 |
+
"place": "CN Tower",
|
| 502 |
+
"city": "Toronto",
|
| 503 |
+
"country": "Canada",
|
| 504 |
+
"continent": "North America",
|
| 505 |
+
"mode": "walking",
|
| 506 |
+
"prompt": "A first-person POV walking through the slender concrete CN Tower with its bulging observation pod rising above Toronto's downtown skyline and Lake Ontario waterfront.",
|
| 507 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 508 |
+
"ref_image": "wikimedia_famous_places/041_CN_Tower.jpg",
|
| 509 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Toronto_skyline_(13949978148).jpg"
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"id": "empire_state_building",
|
| 513 |
+
"place": "Empire State Building",
|
| 514 |
+
"city": "New York",
|
| 515 |
+
"country": "United States",
|
| 516 |
+
"continent": "North America",
|
| 517 |
+
"mode": "walking",
|
| 518 |
+
"prompt": "A first-person POV walking through the tiered Art Deco setbacks and spire of the Empire State Building rising above Fifth Avenue's yellow-taxi traffic.",
|
| 519 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 520 |
+
"ref_image": "wikimedia_famous_places/042_Empire_State_Building.jpg",
|
| 521 |
+
"source_url": "https://en.wikipedia.org/wiki/Empire_State_Building"
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"id": "brooklyn_bridge",
|
| 525 |
+
"place": "Brooklyn Bridge",
|
| 526 |
+
"city": "New York",
|
| 527 |
+
"country": "United States",
|
| 528 |
+
"continent": "North America",
|
| 529 |
+
"mode": "walking",
|
| 530 |
+
"prompt": "A first-person POV walking through the stone Gothic arches and web of suspension cables of the Brooklyn Bridge's pedestrian walkway, Manhattan's skyline framed ahead.",
|
| 531 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 532 |
+
"ref_image": "wikimedia_famous_places/043_Brooklyn_Bridge.jpg",
|
| 533 |
+
"source_url": "https://en.wikipedia.org/wiki/Brooklyn_Bridge"
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"id": "hollywood_sign",
|
| 537 |
+
"place": "Hollywood Sign",
|
| 538 |
+
"city": "Los Angeles",
|
| 539 |
+
"country": "United States",
|
| 540 |
+
"continent": "North America",
|
| 541 |
+
"mode": "walking",
|
| 542 |
+
"prompt": "A first-person POV walking through a dusty chaparral trail climbing Mount Lee toward the giant white block letters of the Hollywood Sign, the LA basin sprawling below.",
|
| 543 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 544 |
+
"ref_image": "wikimedia_famous_places/044_Hollywood_Sign.jpg",
|
| 545 |
+
"source_url": "https://en.wikipedia.org/wiki/Hollywood_Sign"
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"id": "alcatraz_island",
|
| 549 |
+
"place": "Alcatraz Island",
|
| 550 |
+
"city": "San Francisco",
|
| 551 |
+
"country": "United States",
|
| 552 |
+
"continent": "North America",
|
| 553 |
+
"mode": "walking",
|
| 554 |
+
"prompt": "A first-person POV walking through the weathered cellblock walls and lighthouse of Alcatraz prison rising from its rocky island, San Francisco's skyline visible across the bay.",
|
| 555 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 556 |
+
"ref_image": "wikimedia_famous_places/045_Alcatraz_Island.jpg",
|
| 557 |
+
"source_url": "https://en.wikipedia.org/wiki/Alcatraz_Island"
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"id": "yellowstone_national_park",
|
| 561 |
+
"place": "Yellowstone National Park",
|
| 562 |
+
"city": "Wyoming",
|
| 563 |
+
"country": "United States",
|
| 564 |
+
"continent": "North America",
|
| 565 |
+
"mode": "driving",
|
| 566 |
+
"prompt": "A dashcam POV driving through a two-lane park road winding past steaming geysers and mineral-terraced hot springs in Yellowstone's high alpine basin.",
|
| 567 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 568 |
+
"ref_image": "wikimedia_famous_places/046_Yellowstone_National_Park.jpg",
|
| 569 |
+
"source_url": "https://en.wikipedia.org/wiki/Yellowstone_National_Park"
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"id": "yosemite_national_park",
|
| 573 |
+
"place": "Yosemite National Park",
|
| 574 |
+
"city": "California",
|
| 575 |
+
"country": "United States",
|
| 576 |
+
"continent": "North America",
|
| 577 |
+
"mode": "driving",
|
| 578 |
+
"prompt": "A dashcam POV driving through a valley road beneath the sheer granite face of El Capitan and Half Dome, waterfalls streaking down the Yosemite valley walls.",
|
| 579 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 580 |
+
"ref_image": "wikimedia_famous_places/047_Yosemite_National_Park.jpg",
|
| 581 |
+
"source_url": "https://en.wikipedia.org/wiki/Yosemite_National_Park"
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"id": "hoover_dam",
|
| 585 |
+
"place": "Hoover Dam",
|
| 586 |
+
"city": "Nevada/Arizona border",
|
| 587 |
+
"country": "United States",
|
| 588 |
+
"continent": "North America",
|
| 589 |
+
"mode": "driving",
|
| 590 |
+
"prompt": "A dashcam POV driving through the massive curved concrete face of Hoover Dam plunging into Black Canyon, the turquoise waters of Lake Mead pooling behind it.",
|
| 591 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 592 |
+
"ref_image": "wikimedia_famous_places/048_Hoover_Dam.jpg",
|
| 593 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:2017_Aerial_view_Hoover_Dam_4774.jpg"
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"id": "space_needle",
|
| 597 |
+
"place": "Space Needle",
|
| 598 |
+
"city": "Seattle",
|
| 599 |
+
"country": "United States",
|
| 600 |
+
"continent": "North America",
|
| 601 |
+
"mode": "walking",
|
| 602 |
+
"prompt": "A first-person POV walking through the flying-saucer observation deck of the Space Needle atop its slender tapered tower, Seattle's skyline and Mount Rainier visible beyond.",
|
| 603 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 604 |
+
"ref_image": "wikimedia_famous_places/049_Space_Needle.jpg",
|
| 605 |
+
"source_url": "https://en.wikipedia.org/wiki/Space_Needle"
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"id": "salar_de_uyuni",
|
| 609 |
+
"place": "Salar de Uyuni",
|
| 610 |
+
"city": "Potosi",
|
| 611 |
+
"country": "Bolivia",
|
| 612 |
+
"continent": "South America",
|
| 613 |
+
"mode": "driving",
|
| 614 |
+
"prompt": "A dashcam POV driving through an endless flat white expanse of salt crust stretching to the horizon on the Salar de Uyuni, distant volcanic peaks shimmering in the heat.",
|
| 615 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 616 |
+
"ref_image": "wikimedia_famous_places/050_Salar_de_Uyuni.jpg",
|
| 617 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Salar_Uyuni_au01.jpg"
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"id": "iguazu_falls",
|
| 621 |
+
"place": "Iguazu Falls",
|
| 622 |
+
"city": "Misiones/Parana",
|
| 623 |
+
"country": "Argentina",
|
| 624 |
+
"continent": "South America",
|
| 625 |
+
"mode": "walking",
|
| 626 |
+
"prompt": "A first-person POV walking through a network of metal walkways threading through spray and rainbows in front of Iguazu Falls' horseshoe of cascading waterfalls.",
|
| 627 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 628 |
+
"ref_image": "wikimedia_famous_places/051_Iguazu_Falls.jpg",
|
| 629 |
+
"source_url": "https://en.wikipedia.org/wiki/Iguazu_Falls"
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"id": "easter_island_moai",
|
| 633 |
+
"place": "Easter Island Moai",
|
| 634 |
+
"city": "Rapa Nui",
|
| 635 |
+
"country": "Chile",
|
| 636 |
+
"continent": "South America",
|
| 637 |
+
"mode": "walking",
|
| 638 |
+
"prompt": "A first-person POV walking through a row of giant stone Moai statues standing shoulder to shoulder on a grassy coastal platform, the Pacific Ocean behind them.",
|
| 639 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 640 |
+
"ref_image": "wikimedia_famous_places/052_Easter_Island_Moai.jpg",
|
| 641 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:AhuTongariki.JPG"
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"id": "galapagos_islands",
|
| 645 |
+
"place": "Galapagos Islands",
|
| 646 |
+
"city": "Galapagos",
|
| 647 |
+
"country": "Ecuador",
|
| 648 |
+
"continent": "South America",
|
| 649 |
+
"mode": "walking",
|
| 650 |
+
"prompt": "A first-person POV walking through a rocky volcanic shoreline trail on the Galapagos Islands with marine iguanas basking and blue-footed boobies nesting among the black lava rocks.",
|
| 651 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 652 |
+
"ref_image": "wikimedia_famous_places/053_Galapagos_Islands.jpg",
|
| 653 |
+
"source_url": "https://en.wikipedia.org/wiki/Gal%C3%A1pagos_Islands"
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"id": "amazon_rainforest",
|
| 657 |
+
"place": "Amazon Rainforest",
|
| 658 |
+
"city": "Amazonas",
|
| 659 |
+
"country": "Brazil",
|
| 660 |
+
"continent": "South America",
|
| 661 |
+
"mode": "walking",
|
| 662 |
+
"prompt": "A first-person POV walking through a narrow jungle trail beneath the dense emerald canopy of the Amazon Rainforest, vines and buttressed tree trunks crowding the path.",
|
| 663 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 664 |
+
"ref_image": "wikimedia_famous_places/054_Amazon_Rainforest.jpg",
|
| 665 |
+
"source_url": "https://en.wikipedia.org/wiki/Amazon_rainforest"
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"id": "cristo_rei",
|
| 669 |
+
"place": "Cristo Rei",
|
| 670 |
+
"city": "Almada",
|
| 671 |
+
"country": "Portugal",
|
| 672 |
+
"continent": "Europe",
|
| 673 |
+
"mode": "walking",
|
| 674 |
+
"prompt": "A first-person POV walking through the tall white statue of Cristo Rei with outstretched arms overlooking the Tagus River and the 25 de Abril suspension bridge to Lisbon.",
|
| 675 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 676 |
+
"ref_image": "wikimedia_famous_places/055_Cristo_Rei.jpg",
|
| 677 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Cristo_Rei_(36211699613)_(cropped).jpg"
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"id": "belem_tower",
|
| 681 |
+
"place": "Belem Tower",
|
| 682 |
+
"city": "Lisbon",
|
| 683 |
+
"country": "Portugal",
|
| 684 |
+
"continent": "Europe",
|
| 685 |
+
"mode": "walking",
|
| 686 |
+
"prompt": "A first-person POV walking through the fortified stone turrets and Manueline carvings of Belem Tower rising from the banks of the Tagus River.",
|
| 687 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 688 |
+
"ref_image": "wikimedia_famous_places/056_Belem_Tower.jpg",
|
| 689 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Bel%C3%A9m_Tower_in_Lisbon,_Portugal.jpg"
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"id": "alhambra",
|
| 693 |
+
"place": "Alhambra",
|
| 694 |
+
"city": "Granada",
|
| 695 |
+
"country": "Spain",
|
| 696 |
+
"continent": "Europe",
|
| 697 |
+
"mode": "walking",
|
| 698 |
+
"prompt": "A first-person POV walking through the intricate carved archways and reflecting pools of the Alhambra's Nasrid palaces, the Sierra Nevada mountains rising behind its red fortress walls.",
|
| 699 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 700 |
+
"ref_image": "wikimedia_famous_places/057_Alhambra.jpg",
|
| 701 |
+
"source_url": "https://en.wikipedia.org/wiki/Alhambra"
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"id": "park_guell",
|
| 705 |
+
"place": "Park Guell",
|
| 706 |
+
"city": "Barcelona",
|
| 707 |
+
"country": "Spain",
|
| 708 |
+
"continent": "Europe",
|
| 709 |
+
"mode": "walking",
|
| 710 |
+
"prompt": "A first-person POV walking through Gaudi's mosaic-tiled serpentine bench and colorful gatehouse pavilions in Park Guell, overlooking Barcelona's rooftops toward the sea.",
|
| 711 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 712 |
+
"ref_image": "wikimedia_famous_places/058_Park_Guell.jpg",
|
| 713 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Parc_guell_-_panoramio.jpg"
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"id": "mont_saint_michel",
|
| 717 |
+
"place": "Mont Saint-Michel",
|
| 718 |
+
"city": "Normandy",
|
| 719 |
+
"country": "France",
|
| 720 |
+
"continent": "Europe",
|
| 721 |
+
"mode": "walking",
|
| 722 |
+
"prompt": "A first-person POV walking through the spired abbey of Mont Saint-Michel rising from its rocky tidal island, medieval stone ramparts encircling the base.",
|
| 723 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 724 |
+
"ref_image": "wikimedia_famous_places/059_Mont_Saint_Michel.jpg",
|
| 725 |
+
"source_url": "https://en.wikipedia.org/wiki/Mont-Saint-Michel"
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"id": "louvre_museum",
|
| 729 |
+
"place": "Louvre Museum",
|
| 730 |
+
"city": "Paris",
|
| 731 |
+
"country": "France",
|
| 732 |
+
"continent": "Europe",
|
| 733 |
+
"mode": "walking",
|
| 734 |
+
"prompt": "A first-person POV walking through the glass Louvre Pyramid set in the palace's grand courtyard, the Louvre's ornate stone wings framing it on three sides.",
|
| 735 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 736 |
+
"ref_image": "wikimedia_famous_places/060_Louvre_Museum.jpg",
|
| 737 |
+
"source_url": "https://en.wikipedia.org/wiki/Louvre"
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"id": "arc_de_triomphe",
|
| 741 |
+
"place": "Arc de Triomphe",
|
| 742 |
+
"city": "Paris",
|
| 743 |
+
"country": "France",
|
| 744 |
+
"continent": "Europe",
|
| 745 |
+
"mode": "walking",
|
| 746 |
+
"prompt": "A first-person POV walking through the massive stone Arc de Triomphe with its carved reliefs standing at the hub of Paris's radiating avenues.",
|
| 747 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 748 |
+
"ref_image": "wikimedia_famous_places/061_Arc_de_Triomphe.jpg",
|
| 749 |
+
"source_url": "https://en.wikipedia.org/wiki/Arc_de_Triomphe"
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"id": "palace_of_westminster",
|
| 753 |
+
"place": "Palace of Westminster",
|
| 754 |
+
"city": "London",
|
| 755 |
+
"country": "United Kingdom",
|
| 756 |
+
"continent": "Europe",
|
| 757 |
+
"mode": "walking",
|
| 758 |
+
"prompt": "A first-person POV walking through the Gothic Revival spires and riverside terrace of the Palace of Westminster along the Thames, Big Ben's clock tower anchoring one end.",
|
| 759 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 760 |
+
"ref_image": "wikimedia_famous_places/062_Palace_of_Westminster.jpg",
|
| 761 |
+
"source_url": "https://en.wikipedia.org/wiki/Palace_of_Westminster"
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"id": "edinburgh_castle",
|
| 765 |
+
"place": "Edinburgh Castle",
|
| 766 |
+
"city": "Edinburgh",
|
| 767 |
+
"country": "United Kingdom",
|
| 768 |
+
"continent": "Europe",
|
| 769 |
+
"mode": "walking",
|
| 770 |
+
"prompt": "A first-person POV walking through the dark volcanic-rock ramparts of Edinburgh Castle looming above the Royal Mile's cobblestones and gabled stone buildings.",
|
| 771 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 772 |
+
"ref_image": "wikimedia_famous_places/063_Edinburgh_Castle.jpg",
|
| 773 |
+
"source_url": "https://en.wikipedia.org/wiki/Edinburgh_Castle"
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"id": "loch_ness",
|
| 777 |
+
"place": "Loch Ness",
|
| 778 |
+
"city": "Scottish Highlands",
|
| 779 |
+
"country": "United Kingdom",
|
| 780 |
+
"continent": "Europe",
|
| 781 |
+
"mode": "driving",
|
| 782 |
+
"prompt": "A dashcam POV driving through a narrow lochside road along the dark, deep waters of Loch Ness, misty green hills rising steeply from the shoreline.",
|
| 783 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 784 |
+
"ref_image": "wikimedia_famous_places/064_Loch_Ness.jpg",
|
| 785 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:LochNessUrquhart.jpg"
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"id": "cliffs_of_moher",
|
| 789 |
+
"place": "Cliffs of Moher",
|
| 790 |
+
"city": "County Clare",
|
| 791 |
+
"country": "Ireland",
|
| 792 |
+
"continent": "Europe",
|
| 793 |
+
"mode": "walking",
|
| 794 |
+
"prompt": "A first-person POV walking through a grassy clifftop trail along the sheer dark rock face of the Cliffs of Moher, the Atlantic Ocean crashing far below.",
|
| 795 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 796 |
+
"ref_image": "wikimedia_famous_places/065_Cliffs_of_Moher.jpg",
|
| 797 |
+
"source_url": "https://en.wikipedia.org/wiki/Cliffs_of_Moher"
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"id": "trevi_fountain",
|
| 801 |
+
"place": "Trevi Fountain",
|
| 802 |
+
"city": "Rome",
|
| 803 |
+
"country": "Italy",
|
| 804 |
+
"continent": "Europe",
|
| 805 |
+
"mode": "walking",
|
| 806 |
+
"prompt": "A first-person POV walking through the baroque marble sculptures and cascading pools of the Trevi Fountain set against a palazzo facade in a narrow Roman piazza.",
|
| 807 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 808 |
+
"ref_image": "wikimedia_famous_places/066_Trevi_Fountain.jpg",
|
| 809 |
+
"source_url": "https://en.wikipedia.org/wiki/Trevi_Fountain"
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"id": "vatican_museums",
|
| 813 |
+
"place": "Vatican Museums",
|
| 814 |
+
"city": "Vatican City",
|
| 815 |
+
"country": "Vatican City",
|
| 816 |
+
"continent": "Europe",
|
| 817 |
+
"mode": "walking",
|
| 818 |
+
"prompt": "A first-person POV walking through the frescoed galleries and famous spiral staircase of the Vatican Museums leading toward St. Peter's Basilica's dome.",
|
| 819 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 820 |
+
"ref_image": "wikimedia_famous_places/067_Vatican_Museums.jpg",
|
| 821 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Circular_staircase_of_the_Vatican_Museums_02.jpg"
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"id": "st__peter_s_basilica",
|
| 825 |
+
"place": "St. Peter's Basilica",
|
| 826 |
+
"city": "Vatican City",
|
| 827 |
+
"country": "Vatican City",
|
| 828 |
+
"continent": "Europe",
|
| 829 |
+
"mode": "walking",
|
| 830 |
+
"prompt": "A first-person POV walking through the vast colonnaded expanse of St. Peter's Square opening onto the massive dome and facade of St. Peter's Basilica.",
|
| 831 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 832 |
+
"ref_image": "wikimedia_famous_places/068_St_Peter_s_Basilica.jpg",
|
| 833 |
+
"source_url": "https://en.wikipedia.org/wiki/St._Peter%27s_Basilica"
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"id": "pantheon_rome",
|
| 837 |
+
"place": "Pantheon Rome",
|
| 838 |
+
"city": "Rome",
|
| 839 |
+
"country": "Italy",
|
| 840 |
+
"continent": "Europe",
|
| 841 |
+
"mode": "walking",
|
| 842 |
+
"prompt": "A first-person POV walking through the massive coffered dome and columned portico of the Pantheon rising over a small piazza in the middle of old Rome.",
|
| 843 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 844 |
+
"ref_image": "wikimedia_famous_places/069_Pantheon_Rome.jpg",
|
| 845 |
+
"source_url": "https://en.wikipedia.org/wiki/Pantheon%2C_Rome"
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"id": "pompeii",
|
| 849 |
+
"place": "Pompeii",
|
| 850 |
+
"city": "Campania",
|
| 851 |
+
"country": "Italy",
|
| 852 |
+
"continent": "Europe",
|
| 853 |
+
"mode": "walking",
|
| 854 |
+
"prompt": "A first-person POV walking through the excavated stone streets and roofless ruined houses of Pompeii, Mount Vesuvius's silhouette looming in the background.",
|
| 855 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 856 |
+
"ref_image": "wikimedia_famous_places/070_Pompeii.jpg",
|
| 857 |
+
"source_url": "https://en.wikipedia.org/wiki/Pompeii"
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"id": "venice_grand_canal",
|
| 861 |
+
"place": "Venice Grand Canal",
|
| 862 |
+
"city": "Venice",
|
| 863 |
+
"country": "Italy",
|
| 864 |
+
"continent": "Europe",
|
| 865 |
+
"mode": "walking",
|
| 866 |
+
"prompt": "A first-person POV walking through gondolas gliding down the Grand Canal past Venice's tilting Gothic palazzo facades and the arched Rialto Bridge.",
|
| 867 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 868 |
+
"ref_image": "wikimedia_famous_places/071_Venice_Grand_Canal.jpg",
|
| 869 |
+
"source_url": "https://en.wikipedia.org/wiki/Grand_Canal_%28Venice%29"
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"id": "amalfi_coast",
|
| 873 |
+
"place": "Amalfi Coast",
|
| 874 |
+
"city": "Campania",
|
| 875 |
+
"country": "Italy",
|
| 876 |
+
"continent": "Europe",
|
| 877 |
+
"mode": "driving",
|
| 878 |
+
"prompt": "A dashcam POV driving through a narrow cliffside highway hugging the Amalfi Coast, pastel-colored towns clinging to terraced hillsides above the deep blue Tyrrhenian Sea.",
|
| 879 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 880 |
+
"ref_image": "wikimedia_famous_places/072_Amalfi_Coast.jpg",
|
| 881 |
+
"source_url": "https://en.wikipedia.org/wiki/Amalfi_Coast"
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"id": "matterhorn",
|
| 885 |
+
"place": "Matterhorn",
|
| 886 |
+
"city": "Zermatt",
|
| 887 |
+
"country": "Switzerland",
|
| 888 |
+
"continent": "Europe",
|
| 889 |
+
"mode": "walking",
|
| 890 |
+
"prompt": "A first-person POV walking through an alpine trail below the Matterhorn's sheer pyramidal rock face, its snow-streaked flanks cutting a jagged silhouette against the sky.",
|
| 891 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 892 |
+
"ref_image": "wikimedia_famous_places/073_Matterhorn.jpg",
|
| 893 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Matterhorn_from_Domh%C3%BCtte_-_2.jpg"
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"id": "swiss_alps",
|
| 897 |
+
"place": "Swiss Alps",
|
| 898 |
+
"city": "Bernese Oberland",
|
| 899 |
+
"country": "Switzerland",
|
| 900 |
+
"continent": "Europe",
|
| 901 |
+
"mode": "driving",
|
| 902 |
+
"prompt": "A dashcam POV driving through a mountain pass road winding through the snow-capped peaks of the Swiss Alps, green valley pastures and chalets far below.",
|
| 903 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 904 |
+
"ref_image": "wikimedia_famous_places/074_Swiss_Alps.jpg",
|
| 905 |
+
"source_url": "https://commons.wikimedia.org/wiki/Category:Bernese_Oberland"
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"id": "charles_bridge_prague",
|
| 909 |
+
"place": "Charles Bridge Prague",
|
| 910 |
+
"city": "Prague",
|
| 911 |
+
"country": "Czech Republic",
|
| 912 |
+
"continent": "Europe",
|
| 913 |
+
"mode": "walking",
|
| 914 |
+
"prompt": "A first-person POV walking through the Gothic stone arches and rows of baroque statues lining Charles Bridge, Prague Castle's spires visible across the Vltava.",
|
| 915 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 916 |
+
"ref_image": "wikimedia_famous_places/075_Charles_Bridge_Prague.jpg",
|
| 917 |
+
"source_url": "https://en.wikipedia.org/wiki/Charles_Bridge"
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"id": "prague_castle",
|
| 921 |
+
"place": "Prague Castle",
|
| 922 |
+
"city": "Prague",
|
| 923 |
+
"country": "Czech Republic",
|
| 924 |
+
"continent": "Europe",
|
| 925 |
+
"mode": "walking",
|
| 926 |
+
"prompt": "A first-person POV walking through the spires of St. Vitus Cathedral rising within Prague Castle's walled complex, red-tiled rooftops spreading down the hill below.",
|
| 927 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 928 |
+
"ref_image": "wikimedia_famous_places/076_Prague_Castle.jpg",
|
| 929 |
+
"source_url": "https://en.wikipedia.org/wiki/Prague_Castle"
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"id": "brandenburg_gate",
|
| 933 |
+
"place": "Brandenburg Gate",
|
| 934 |
+
"city": "Berlin",
|
| 935 |
+
"country": "Germany",
|
| 936 |
+
"continent": "Europe",
|
| 937 |
+
"mode": "walking",
|
| 938 |
+
"prompt": "A first-person POV walking through the neoclassical columns and bronze quadriga of the Brandenburg Gate at the end of the wide Pariser Platz.",
|
| 939 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 940 |
+
"ref_image": "wikimedia_famous_places/077_Brandenburg_Gate.jpg",
|
| 941 |
+
"source_url": "https://en.wikipedia.org/wiki/Brandenburg_Gate"
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"id": "cologne_cathedral",
|
| 945 |
+
"place": "Cologne Cathedral",
|
| 946 |
+
"city": "Cologne",
|
| 947 |
+
"country": "Germany",
|
| 948 |
+
"continent": "Europe",
|
| 949 |
+
"mode": "walking",
|
| 950 |
+
"prompt": "A first-person POV walking through the twin blackened Gothic spires of Cologne Cathedral towering directly above the plaza and rail station square at its base.",
|
| 951 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 952 |
+
"ref_image": "wikimedia_famous_places/078_Cologne_Cathedral.jpg",
|
| 953 |
+
"source_url": "https://en.wikipedia.org/wiki/Cologne_Cathedral"
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"id": "hagia_sophia",
|
| 957 |
+
"place": "Hagia Sophia",
|
| 958 |
+
"city": "Istanbul",
|
| 959 |
+
"country": "Turkey",
|
| 960 |
+
"continent": "Europe",
|
| 961 |
+
"mode": "walking",
|
| 962 |
+
"prompt": "A first-person POV walking through the massive central dome and minarets of Hagia Sophia rising above Istanbul's old city rooftops near the Bosphorus.",
|
| 963 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 964 |
+
"ref_image": "wikimedia_famous_places/079_Hagia_Sophia.jpg",
|
| 965 |
+
"source_url": "https://en.wikipedia.org/wiki/Hagia_Sophia"
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"id": "blue_mosque",
|
| 969 |
+
"place": "Blue Mosque",
|
| 970 |
+
"city": "Istanbul",
|
| 971 |
+
"country": "Turkey",
|
| 972 |
+
"continent": "Europe",
|
| 973 |
+
"mode": "walking",
|
| 974 |
+
"prompt": "A first-person POV walking through the cascading domes and six slender minarets of the Blue Mosque overlooking its courtyard fountain in Istanbul's Sultanahmet district.",
|
| 975 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 976 |
+
"ref_image": "wikimedia_famous_places/080_Blue_Mosque.jpg",
|
| 977 |
+
"source_url": "https://en.wikipedia.org/wiki/Blue_Mosque%2C_Istanbul"
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"id": "cappadocia",
|
| 981 |
+
"place": "Cappadocia",
|
| 982 |
+
"city": "Nevsehir",
|
| 983 |
+
"country": "Turkey",
|
| 984 |
+
"continent": "Asia",
|
| 985 |
+
"mode": "driving",
|
| 986 |
+
"prompt": "A dashcam POV driving through a valley road winding among Cappadocia's cone-shaped rock formations and cave dwellings carved into pale volcanic tuff.",
|
| 987 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 988 |
+
"ref_image": "wikimedia_famous_places/081_Cappadocia.jpg",
|
| 989 |
+
"source_url": "https://en.wikipedia.org/wiki/Cappadocia"
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"id": "luxor_temple",
|
| 993 |
+
"place": "Luxor Temple",
|
| 994 |
+
"city": "Luxor",
|
| 995 |
+
"country": "Egypt",
|
| 996 |
+
"continent": "Africa",
|
| 997 |
+
"mode": "walking",
|
| 998 |
+
"prompt": "A first-person POV walking through the towering carved pylons and avenue of sphinxes leading into Luxor Temple's colonnaded courtyards along the Nile.",
|
| 999 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1000 |
+
"ref_image": "wikimedia_famous_places/082_Luxor_Temple.jpg",
|
| 1001 |
+
"source_url": "https://en.wikipedia.org/wiki/Luxor_Temple"
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"id": "abu_simbel",
|
| 1005 |
+
"place": "Abu Simbel",
|
| 1006 |
+
"city": "Aswan",
|
| 1007 |
+
"country": "Egypt",
|
| 1008 |
+
"continent": "Africa",
|
| 1009 |
+
"mode": "walking",
|
| 1010 |
+
"prompt": "A first-person POV walking through the four colossal seated statues of Ramesses II carved into the sandstone facade of Abu Simbel temple beside Lake Nasser.",
|
| 1011 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1012 |
+
"ref_image": "wikimedia_famous_places/083_Abu_Simbel.jpg",
|
| 1013 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Ramsis,_Aswan_Governorate,_Egypt_-_panoramio.jpg"
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"id": "marrakech_medina",
|
| 1017 |
+
"place": "Marrakech Medina",
|
| 1018 |
+
"city": "Marrakech",
|
| 1019 |
+
"country": "Morocco",
|
| 1020 |
+
"continent": "Africa",
|
| 1021 |
+
"mode": "walking",
|
| 1022 |
+
"prompt": "A first-person POV walking through the maze of narrow alleys and market stalls in Marrakech's medina, the Koutoubia minaret rising above the rooftops.",
|
| 1023 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1024 |
+
"ref_image": "wikimedia_famous_places/084_Marrakech_Medina.jpg",
|
| 1025 |
+
"source_url": "https://en.wikipedia.org/wiki/Marrakesh"
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"id": "sahara_desert",
|
| 1029 |
+
"place": "Sahara Desert",
|
| 1030 |
+
"city": "Merzouga",
|
| 1031 |
+
"country": "Morocco",
|
| 1032 |
+
"continent": "Africa",
|
| 1033 |
+
"mode": "driving",
|
| 1034 |
+
"prompt": "A dashcam POV driving through a dirt track winding across the rippling golden dunes of the Sahara Desert, a camel caravan silhouette crossing in the distance.",
|
| 1035 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1036 |
+
"ref_image": "wikimedia_famous_places/085_Sahara_Desert.jpg",
|
| 1037 |
+
"source_url": "https://commons.wikimedia.org/wiki/Category:Western_Desert_(Egypt)"
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"id": "mount_kilimanjaro",
|
| 1041 |
+
"place": "Mount Kilimanjaro",
|
| 1042 |
+
"city": "Kilimanjaro Region",
|
| 1043 |
+
"country": "Tanzania",
|
| 1044 |
+
"continent": "Africa",
|
| 1045 |
+
"mode": "walking",
|
| 1046 |
+
"prompt": "A first-person POV walking through a dusty trekking trail across Kilimanjaro's alpine moorland, the mountain's flat glacier-capped summit rising above the clouds.",
|
| 1047 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1048 |
+
"ref_image": "wikimedia_famous_places/086_Mount_Kilimanjaro.jpg",
|
| 1049 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Kilimanjaro_from_Amboseli.jpg"
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"id": "serengeti_national_park",
|
| 1053 |
+
"place": "Serengeti National Park",
|
| 1054 |
+
"city": "Serengeti",
|
| 1055 |
+
"country": "Tanzania",
|
| 1056 |
+
"continent": "Africa",
|
| 1057 |
+
"mode": "driving",
|
| 1058 |
+
"prompt": "A dashcam POV driving through a dirt safari track across the endless golden grass plains of the Serengeti, herds of wildebeest and acacia trees dotting the horizon.",
|
| 1059 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1060 |
+
"ref_image": "wikimedia_famous_places/087_Serengeti_National_Park.jpg",
|
| 1061 |
+
"source_url": "https://en.wikipedia.org/wiki/Serengeti_National_Park"
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"id": "zanzibar",
|
| 1065 |
+
"place": "Zanzibar",
|
| 1066 |
+
"city": "Zanzibar City",
|
| 1067 |
+
"country": "Tanzania",
|
| 1068 |
+
"continent": "Africa",
|
| 1069 |
+
"mode": "walking",
|
| 1070 |
+
"prompt": "A first-person POV walking through the narrow whitewashed alleys and carved wooden doors of Stone Town, Zanzibar, palm trees and dhow boats visible near the waterfront.",
|
| 1071 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1072 |
+
"ref_image": "wikimedia_famous_places/088_Zanzibar.jpg",
|
| 1073 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Boutres_pr%C3%A8s_de_la_plage_de_Stone_Town,_Zanzibar_-_panoramio.jpg"
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"id": "table_mountain_cape_town",
|
| 1077 |
+
"place": "Table Mountain Cape Town",
|
| 1078 |
+
"city": "Cape Town",
|
| 1079 |
+
"country": "South Africa",
|
| 1080 |
+
"continent": "Africa",
|
| 1081 |
+
"mode": "driving",
|
| 1082 |
+
"prompt": "A dashcam POV driving through a scenic coastal road curving along the Cape Town waterfront, the flat silhouette of Table Mountain rising above the city skyline.",
|
| 1083 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1084 |
+
"ref_image": "wikimedia_famous_places/089_Table_Mountain_Cape_Town.jpg",
|
| 1085 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Table_Mountain_DanieVDM.jpg"
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"id": "robben_island",
|
| 1089 |
+
"place": "Robben Island",
|
| 1090 |
+
"city": "Cape Town",
|
| 1091 |
+
"country": "South Africa",
|
| 1092 |
+
"continent": "Africa",
|
| 1093 |
+
"mode": "walking",
|
| 1094 |
+
"prompt": "A first-person POV walking through the low whitewashed prison buildings and limestone quarry of Robben Island, Table Mountain visible across the water toward Cape Town.",
|
| 1095 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1096 |
+
"ref_image": "wikimedia_famous_places/090_Robben_Island.jpg",
|
| 1097 |
+
"source_url": "https://en.wikipedia.org/wiki/Robben_Island"
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"id": "bagan_temples",
|
| 1101 |
+
"place": "Bagan Temples",
|
| 1102 |
+
"city": "Bagan",
|
| 1103 |
+
"country": "Myanmar",
|
| 1104 |
+
"continent": "Asia",
|
| 1105 |
+
"mode": "walking",
|
| 1106 |
+
"prompt": "A first-person POV walking through thousands of ancient red-brick stupas and temple spires of Bagan spreading across a dusty plain toward the horizon.",
|
| 1107 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1108 |
+
"ref_image": "wikimedia_famous_places/091_Bagan_Temples.jpg",
|
| 1109 |
+
"source_url": "https://en.wikipedia.org/wiki/Bagan"
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"id": "ha_long_bay",
|
| 1113 |
+
"place": "Ha Long Bay",
|
| 1114 |
+
"city": "Ha Long",
|
| 1115 |
+
"country": "Vietnam",
|
| 1116 |
+
"continent": "Asia",
|
| 1117 |
+
"mode": "walking",
|
| 1118 |
+
"prompt": "A first-person POV walking through a wooden junk boat deck gliding among the towering limestone karst islands of Ha Long Bay rising from the emerald water.",
|
| 1119 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1120 |
+
"ref_image": "wikimedia_famous_places/092_Ha_Long_Bay.jpg",
|
| 1121 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:Ha_Long_Bay_in_2019.jpg"
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"id": "angkor_thom",
|
| 1125 |
+
"place": "Angkor Thom",
|
| 1126 |
+
"city": "Siem Reap",
|
| 1127 |
+
"country": "Cambodia",
|
| 1128 |
+
"continent": "Asia",
|
| 1129 |
+
"mode": "walking",
|
| 1130 |
+
"prompt": "A first-person POV walking through the giant serene stone faces carved into the towers of the Bayon temple at the heart of Angkor Thom.",
|
| 1131 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1132 |
+
"ref_image": "wikimedia_famous_places/093_Angkor_Thom.jpg",
|
| 1133 |
+
"source_url": "https://en.wikipedia.org/wiki/Angkor_Thom"
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"id": "borobudur",
|
| 1137 |
+
"place": "Borobudur",
|
| 1138 |
+
"city": "Central Java",
|
| 1139 |
+
"country": "Indonesia",
|
| 1140 |
+
"continent": "Asia",
|
| 1141 |
+
"mode": "walking",
|
| 1142 |
+
"prompt": "A first-person POV walking through the stepped stone terraces and bell-shaped stupas of Borobudur temple rising in tiers against a backdrop of volcanic mountains.",
|
| 1143 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1144 |
+
"ref_image": "wikimedia_famous_places/094_Borobudur.jpg",
|
| 1145 |
+
"source_url": "https://en.wikipedia.org/wiki/Borobudur"
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"id": "mount_bromo",
|
| 1149 |
+
"place": "Mount Bromo",
|
| 1150 |
+
"city": "East Java",
|
| 1151 |
+
"country": "Indonesia",
|
| 1152 |
+
"continent": "Asia",
|
| 1153 |
+
"mode": "driving",
|
| 1154 |
+
"prompt": "A dashcam POV driving through a dusty track across the vast Sea of Sand crater floor toward Mount Bromo's smoking volcanic cone rising from the mist.",
|
| 1155 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1156 |
+
"ref_image": "wikimedia_famous_places/095_Mount_Bromo.jpg",
|
| 1157 |
+
"source_url": "https://en.wikipedia.org/wiki/Mount_Bromo"
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"id": "petronas_towers",
|
| 1161 |
+
"place": "Petronas Towers",
|
| 1162 |
+
"city": "Kuala Lumpur",
|
| 1163 |
+
"country": "Malaysia",
|
| 1164 |
+
"continent": "Asia",
|
| 1165 |
+
"mode": "walking",
|
| 1166 |
+
"prompt": "A first-person POV walking through the twin steel-and-glass spires of the Petronas Towers connected by their sky bridge, rising above Kuala Lumpur's park plaza.",
|
| 1167 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1168 |
+
"ref_image": "wikimedia_famous_places/096_Petronas_Towers.jpg",
|
| 1169 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:2012-11-11_Kuala_Lumpur_03.JPG"
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"id": "marina_bay_sands",
|
| 1173 |
+
"place": "Marina Bay Sands",
|
| 1174 |
+
"city": "Singapore",
|
| 1175 |
+
"country": "Singapore",
|
| 1176 |
+
"continent": "Asia",
|
| 1177 |
+
"mode": "walking",
|
| 1178 |
+
"prompt": "A first-person POV walking through the three towers of Marina Bay Sands topped by their surfboard-shaped SkyPark, Singapore's skyline reflected in the bay waterfront.",
|
| 1179 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1180 |
+
"ref_image": "wikimedia_famous_places/097_Marina_Bay_Sands.jpg",
|
| 1181 |
+
"source_url": "https://en.wikipedia.org/wiki/Marina_Bay_Sands"
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"id": "milford_sound",
|
| 1185 |
+
"place": "Milford Sound",
|
| 1186 |
+
"city": "Fiordland",
|
| 1187 |
+
"country": "New Zealand",
|
| 1188 |
+
"continent": "Oceania",
|
| 1189 |
+
"mode": "driving",
|
| 1190 |
+
"prompt": "A dashcam POV driving through a narrow road threading through steep rainforested cliffs toward Milford Sound's dark fjord waters and cascading waterfalls.",
|
| 1191 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1192 |
+
"ref_image": "wikimedia_famous_places/098_Milford_Sound.jpg",
|
| 1193 |
+
"source_url": "https://en.wikipedia.org/wiki/Milford_Sound"
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"id": "sky_tower_auckland",
|
| 1197 |
+
"place": "Sky Tower Auckland",
|
| 1198 |
+
"city": "Auckland",
|
| 1199 |
+
"country": "New Zealand",
|
| 1200 |
+
"continent": "Oceania",
|
| 1201 |
+
"mode": "walking",
|
| 1202 |
+
"prompt": "A first-person POV walking through the slender concrete Sky Tower rising above Auckland's harbor-front streets, its observation deck ringed by glass.",
|
| 1203 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1204 |
+
"ref_image": "wikimedia_famous_places/099_Sky_Tower_Auckland.jpg",
|
| 1205 |
+
"source_url": "https://en.wikipedia.org/wiki/Sky_Tower_%28Auckland%29"
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"id": "twelve_apostles_australia",
|
| 1209 |
+
"place": "Twelve Apostles Australia",
|
| 1210 |
+
"city": "Victoria",
|
| 1211 |
+
"country": "Australia",
|
| 1212 |
+
"continent": "Oceania",
|
| 1213 |
+
"mode": "driving",
|
| 1214 |
+
"prompt": "A dashcam POV driving through a coastal highway along Victoria's Great Ocean Road, limestone sea stacks of the Twelve Apostles rising from the surf below sheer cliffs.",
|
| 1215 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1216 |
+
"ref_image": "wikimedia_famous_places/100_Twelve_Apostles_Australia.jpg",
|
| 1217 |
+
"source_url": "https://en.wikipedia.org/wiki/The_Twelve_Apostles_%28Victoria%29"
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"id": "antelope_canyon",
|
| 1221 |
+
"place": "Antelope Canyon",
|
| 1222 |
+
"city": "Page, Arizona",
|
| 1223 |
+
"country": "United States",
|
| 1224 |
+
"continent": "North America",
|
| 1225 |
+
"mode": "walking",
|
| 1226 |
+
"prompt": "A first-person POV walking through the smooth swirling sandstone walls of Antelope Canyon glowing orange and purple where shafts of sunlight reach the narrow slot floor.",
|
| 1227 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1228 |
+
"ref_image": "wikimedia_famous_places/101_Antelope_Canyon.jpg",
|
| 1229 |
+
"source_url": "https://commons.wikimedia.org/wiki/File:USA_Antelope-Canyon.jpg"
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"id": "monument_valley",
|
| 1233 |
+
"place": "Monument Valley",
|
| 1234 |
+
"city": "Arizona/Utah border",
|
| 1235 |
+
"country": "United States",
|
| 1236 |
+
"continent": "North America",
|
| 1237 |
+
"mode": "driving",
|
| 1238 |
+
"prompt": "A dashcam POV driving through a lone highway crossing the flat red desert of Monument Valley, isolated sandstone buttes and mesas rising against the horizon.",
|
| 1239 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1240 |
+
"ref_image": "wikimedia_famous_places/102_Monument_Valley.jpg",
|
| 1241 |
+
"source_url": "https://en.wikipedia.org/wiki/Monument_Valley"
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"id": "banff_national_park",
|
| 1245 |
+
"place": "Banff National Park",
|
| 1246 |
+
"city": "Alberta",
|
| 1247 |
+
"country": "Canada",
|
| 1248 |
+
"continent": "North America",
|
| 1249 |
+
"mode": "driving",
|
| 1250 |
+
"prompt": "A dashcam POV driving through a mountain highway along turquoise Banff lakes, snow-capped Canadian Rockies peaks reflected in the still glacial water.",
|
| 1251 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location",
|
| 1252 |
+
"ref_image": "wikimedia_famous_places/103_Banff_National_Park.jpg",
|
| 1253 |
+
"source_url": "https://en.wikipedia.org/wiki/Banff_National_Park"
|
| 1254 |
+
}
|
| 1255 |
+
]
|
| 1256 |
+
}
|
bench_t2v_space/score_claude.py
ADDED
|
@@ -0,0 +1,261 @@
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Sole eval signal for bench_t2v_space: Claude Opus 5 on Amazon Bedrock, used
|
| 3 |
+
as a VLM-as-judge over frames sampled from each generated video.
|
| 4 |
+
|
| 5 |
+
Replaces the previous two-model setup (local Qwen3.5-27B + TIGER-Lab/VideoScore2
|
| 6 |
+
combined by combine.py) -- there is now exactly one judge, so there is nothing
|
| 7 |
+
to combine; summarize.py just aggregates this scorer's output.
|
| 8 |
+
|
| 9 |
+
The rubric is unchanged from the Qwen3.5 version: three axes, each 0-10 --
|
| 10 |
+
`alignment` (is this the SPECIFIC named real-world place?), `quality`,
|
| 11 |
+
`smoothness`.
|
| 12 |
+
|
| 13 |
+
This bench has TWO manifests (worldwide, usa); run once per manifest with an
|
| 14 |
+
explicit --manifest/--videos-dir/--out-dir (the defaults point at worldwide).
|
| 15 |
+
|
| 16 |
+
Claude takes images, not video, so each video is reduced to K evenly-spaced
|
| 17 |
+
frames sent as JPEG images in one user turn. Frames are downscaled to
|
| 18 |
+
--max-side (default 768px long edge) to keep per-request image tokens
|
| 19 |
+
reasonable: Claude bills roughly (w*h)/750 tokens per image, so 8 frames at
|
| 20 |
+
768x432 is ~3.5k image tokens per video.
|
| 21 |
+
|
| 22 |
+
Requirements:
|
| 23 |
+
pip install 'anthropic[bedrock]' # boto3 is what signs the SigV4 request
|
| 24 |
+
AWS credentials resolvable the usual way (env vars, ~/.aws, instance role)
|
| 25 |
+
AWS_REGION (or --aws-region) set to a region where the model is enabled
|
| 26 |
+
|
| 27 |
+
Usage (CPU node is fine -- no local model is loaded):
|
| 28 |
+
python score_claude.py --manifest manifest_worldwide.json --videos-dir outputs/worldwide/videos --out-dir outputs/worldwide
|
| 29 |
+
python score_claude.py --manifest manifest_usa.json --videos-dir outputs/usa/videos --out-dir outputs/usa
|
| 30 |
+
Output: <out-dir>/claude_scores.jsonl (resumable -- skips ids already present).
|
| 31 |
+
"""
|
| 32 |
+
from __future__ import annotations
|
| 33 |
+
|
| 34 |
+
import argparse
|
| 35 |
+
import base64
|
| 36 |
+
import json
|
| 37 |
+
import re
|
| 38 |
+
import threading
|
| 39 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 40 |
+
from pathlib import Path
|
| 41 |
+
|
| 42 |
+
import cv2
|
| 43 |
+
import numpy as np
|
| 44 |
+
|
| 45 |
+
HERE = Path(__file__).resolve().parent
|
| 46 |
+
|
| 47 |
+
DEFAULT_MODEL = "anthropic.claude-opus-5"
|
| 48 |
+
DEFAULT_REGION = "us-east-1"
|
| 49 |
+
|
| 50 |
+
K_FRAMES = 8
|
| 51 |
+
MAX_SIDE = 768
|
| 52 |
+
JPEG_QUALITY = 90
|
| 53 |
+
MAX_TOKENS = 4000
|
| 54 |
+
|
| 55 |
+
AXES = ("alignment", "quality", "smoothness")
|
| 56 |
+
|
| 57 |
+
JUDGE_PROMPT_TEMPLATE = """You are a STRICT, SKEPTICAL judge of an AI-generated video against the text prompt that produced it. Most generated videos have real flaws -- assume there are problems until the frames clearly prove otherwise. Do not give credit for "close enough" or "same general vibe."
|
| 58 |
+
|
| 59 |
+
Prompt: "{prompt}"
|
| 60 |
+
|
| 61 |
+
The prompt names a specific real-world place. The {k} images above are frames sampled evenly across the video's duration, in order.
|
| 62 |
+
|
| 63 |
+
Rate the video on three axes, each an integer from 0 to 10. Use the full range -- most videos should land in the 3-6 band; reserve 9-10 for videos with essentially no flaws.
|
| 64 |
+
|
| 65 |
+
alignment (does this show the SPECIFIC named place, not a generic lookalike?):
|
| 66 |
+
10 = unmistakably the named place, every distinctive identifying feature (exact architecture, layout, landmarks) present and correct
|
| 67 |
+
8-9 = clearly the named place, at most one minor identifying detail off
|
| 68 |
+
6-7 = recognizable as the named place but missing or altering several distinctive features
|
| 69 |
+
4-5 = generic scene of the right broad category (e.g. "a plaza", "a bridge") that could be anywhere -- does NOT capture what makes this place specific
|
| 70 |
+
2-3 = only a loose thematic connection; a knowledgeable viewer would not identify this as the named place
|
| 71 |
+
0-1 = wrong place entirely or unrecognizable
|
| 72 |
+
|
| 73 |
+
quality (sharpness, absence of warping/artifacts/melting geometry):
|
| 74 |
+
10 = photoreal, no visible artifacts anywhere
|
| 75 |
+
8-9 = very good, at most one small artifact on close inspection
|
| 76 |
+
6-7 = noticeable but minor artifacts (soft warping, texture smearing) that don't dominate the frame
|
| 77 |
+
4-5 = clear artifacts in multiple frames (melting geometry, garbled architectural detail, unstable structures)
|
| 78 |
+
0-3 = pervasive artifacts, badly broken in most frames
|
| 79 |
+
|
| 80 |
+
smoothness (temporal coherence across the frames -- no flicker, no discontinuities, consistent object/architecture identity):
|
| 81 |
+
10 = perfectly smooth and consistent throughout
|
| 82 |
+
8-9 = very smooth, at most one minor discontinuity
|
| 83 |
+
6-7 = mostly smooth but with a couple of noticeable jumps or identity drift
|
| 84 |
+
4-5 = frequent flicker or objects/architecture changing shape or identity between frames
|
| 85 |
+
0-3 = incoherent, frames barely relate to each other
|
| 86 |
+
|
| 87 |
+
Be honest and critical -- if you are uncertain whether a detail is correct, score it as if it is wrong, not right.
|
| 88 |
+
|
| 89 |
+
Respond with ONLY a JSON object, no other text, in exactly this form:
|
| 90 |
+
{{"alignment": <int 0-10>, "quality": <int 0-10>, "smoothness": <int 0-10>, "reason": "<one short sentence, naming the specific flaw if any>"}}
|
| 91 |
+
"""
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
def item_meta(it: dict) -> dict:
|
| 95 |
+
"""Manifest fields carried through onto every score record."""
|
| 96 |
+
return {"place": it["place"], "country": it["country"],
|
| 97 |
+
"continent": it["continent"], "mode": it["mode"]}
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
# --- generic below this line -------------------------------------------------
|
| 101 |
+
|
| 102 |
+
def make_client(mode: str, region: str, max_retries: int):
|
| 103 |
+
"""Bedrock client. `mantle` is the Messages-API Bedrock endpoint and the
|
| 104 |
+
recommended path; `legacy` is the older bedrock-runtime InvokeModel path,
|
| 105 |
+
kept for accounts that only have that enabled (its model ids look like
|
| 106 |
+
`us.anthropic.claude-opus-5-v1:0` -- pass one with --model)."""
|
| 107 |
+
try:
|
| 108 |
+
from anthropic import AnthropicBedrock, AnthropicBedrockMantle
|
| 109 |
+
except ImportError as exc: # pragma: no cover
|
| 110 |
+
raise SystemExit(f"anthropic SDK not available: {exc}") from exc
|
| 111 |
+
cls = AnthropicBedrockMantle if mode == "mantle" else AnthropicBedrock
|
| 112 |
+
return cls(aws_region=region, max_retries=max_retries)
|
| 113 |
+
|
| 114 |
+
|
| 115 |
+
def sample_frames(video_path: Path, k: int) -> list[np.ndarray]:
|
| 116 |
+
"""K evenly-spaced BGR frames across the whole video."""
|
| 117 |
+
cap = cv2.VideoCapture(str(video_path))
|
| 118 |
+
n = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
|
| 119 |
+
if n <= 0:
|
| 120 |
+
cap.release()
|
| 121 |
+
raise RuntimeError(f"no frames read from {video_path}")
|
| 122 |
+
frames = []
|
| 123 |
+
for i in np.linspace(0, n - 1, num=min(k, n), dtype=int):
|
| 124 |
+
cap.set(cv2.CAP_PROP_POS_FRAMES, int(i))
|
| 125 |
+
ok, frame = cap.read()
|
| 126 |
+
if ok:
|
| 127 |
+
frames.append(frame)
|
| 128 |
+
cap.release()
|
| 129 |
+
if not frames:
|
| 130 |
+
raise RuntimeError(f"no frames decoded from {video_path}")
|
| 131 |
+
return frames
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
def encode_jpeg(frame_bgr: np.ndarray, max_side: int) -> str:
|
| 135 |
+
h, w = frame_bgr.shape[:2]
|
| 136 |
+
scale = max_side / max(h, w)
|
| 137 |
+
if scale < 1:
|
| 138 |
+
frame_bgr = cv2.resize(frame_bgr, (int(w * scale), int(h * scale)),
|
| 139 |
+
interpolation=cv2.INTER_AREA)
|
| 140 |
+
ok, buf = cv2.imencode(".jpg", frame_bgr, [int(cv2.IMWRITE_JPEG_QUALITY), JPEG_QUALITY])
|
| 141 |
+
if not ok:
|
| 142 |
+
raise RuntimeError("cv2.imencode failed")
|
| 143 |
+
return base64.standard_b64encode(buf.tobytes()).decode("ascii")
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
def parse_judge_json(text: str) -> dict:
|
| 147 |
+
"""Pull the JSON object out of the judge's reply and clamp the axes."""
|
| 148 |
+
m = re.search(r"\{.*\}", text, re.S)
|
| 149 |
+
if not m:
|
| 150 |
+
raise ValueError(f"no JSON object found in judge output: {text[:200]!r}")
|
| 151 |
+
obj = json.loads(m.group(0))
|
| 152 |
+
for axis in AXES:
|
| 153 |
+
obj[axis] = max(0.0, min(10.0, float(obj[axis])))
|
| 154 |
+
return obj
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
def judge_video(client, model: str, effort: str, prompt: str,
|
| 158 |
+
video_path: Path, k_frames: int, max_side: int) -> dict:
|
| 159 |
+
frames = sample_frames(video_path, k_frames)
|
| 160 |
+
content = [
|
| 161 |
+
{"type": "image", "source": {"type": "base64", "media_type": "image/jpeg",
|
| 162 |
+
"data": encode_jpeg(f, max_side)}}
|
| 163 |
+
for f in frames
|
| 164 |
+
]
|
| 165 |
+
content.append({"type": "text",
|
| 166 |
+
"text": JUDGE_PROMPT_TEMPLATE.format(prompt=prompt, k=len(frames))})
|
| 167 |
+
|
| 168 |
+
response = client.messages.create(
|
| 169 |
+
model=model,
|
| 170 |
+
max_tokens=MAX_TOKENS,
|
| 171 |
+
thinking={"type": "adaptive"},
|
| 172 |
+
output_config={"effort": effort},
|
| 173 |
+
messages=[{"role": "user", "content": content}],
|
| 174 |
+
)
|
| 175 |
+
if response.stop_reason == "refusal":
|
| 176 |
+
category = getattr(response.stop_details, "category", None)
|
| 177 |
+
raise RuntimeError(f"model refused (category={category})")
|
| 178 |
+
text = "".join(b.text for b in response.content if b.type == "text")
|
| 179 |
+
if not text.strip():
|
| 180 |
+
raise RuntimeError(f"empty response (stop_reason={response.stop_reason})")
|
| 181 |
+
return parse_judge_json(text)
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
def parse_args() -> argparse.Namespace:
|
| 185 |
+
p = argparse.ArgumentParser(description="Score bench_t2v_space with Claude Opus 5 on Bedrock.")
|
| 186 |
+
p.add_argument("--manifest", default=str(HERE / "manifest_worldwide.json"))
|
| 187 |
+
p.add_argument("--videos-dir", default=str(HERE / "outputs" / "worldwide" / "videos"))
|
| 188 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs" / "worldwide"))
|
| 189 |
+
p.add_argument("--model", default=DEFAULT_MODEL)
|
| 190 |
+
p.add_argument("--aws-region", default=None,
|
| 191 |
+
help=f"defaults to $AWS_REGION, else {DEFAULT_REGION}")
|
| 192 |
+
p.add_argument("--bedrock-mode", choices=("mantle", "legacy"), default="mantle")
|
| 193 |
+
p.add_argument("--effort", choices=("low", "medium", "high", "xhigh", "max"), default="medium")
|
| 194 |
+
p.add_argument("--limit", type=int, default=None)
|
| 195 |
+
p.add_argument("--k-frames", type=int, default=K_FRAMES)
|
| 196 |
+
p.add_argument("--max-side", type=int, default=MAX_SIDE)
|
| 197 |
+
p.add_argument("--concurrency", type=int, default=4)
|
| 198 |
+
p.add_argument("--max-retries", type=int, default=5)
|
| 199 |
+
return p.parse_args()
|
| 200 |
+
|
| 201 |
+
|
| 202 |
+
def main() -> None:
|
| 203 |
+
import os
|
| 204 |
+
|
| 205 |
+
args = parse_args()
|
| 206 |
+
region = args.aws_region or os.environ.get("AWS_REGION") or DEFAULT_REGION
|
| 207 |
+
|
| 208 |
+
manifest = json.load(open(args.manifest))
|
| 209 |
+
items = manifest["items"]
|
| 210 |
+
if args.limit is not None:
|
| 211 |
+
items = items[: args.limit]
|
| 212 |
+
|
| 213 |
+
videos_dir = Path(args.videos_dir)
|
| 214 |
+
out_dir = Path(args.out_dir)
|
| 215 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 216 |
+
scores_path = out_dir / "claude_scores.jsonl"
|
| 217 |
+
already = set()
|
| 218 |
+
if scores_path.exists():
|
| 219 |
+
for line in scores_path.read_text().splitlines():
|
| 220 |
+
if line.strip():
|
| 221 |
+
already.add(json.loads(line)["id"])
|
| 222 |
+
|
| 223 |
+
todo = [it for it in items if it["id"] not in already]
|
| 224 |
+
print(f"{len(items)} items, {len(already)} already scored, {len(todo)} to score")
|
| 225 |
+
print(f"judge: {args.model} via bedrock ({args.bedrock_mode}, region={region}, effort={args.effort})")
|
| 226 |
+
|
| 227 |
+
client = make_client(args.bedrock_mode, region, args.max_retries)
|
| 228 |
+
write_lock = threading.Lock()
|
| 229 |
+
counter = {"n": 0}
|
| 230 |
+
|
| 231 |
+
def work(it: dict) -> None:
|
| 232 |
+
video_path = videos_dir / f"{it['id']}.mp4"
|
| 233 |
+
meta = {"id": it["id"], **item_meta(it)}
|
| 234 |
+
if not video_path.exists():
|
| 235 |
+
with write_lock:
|
| 236 |
+
counter["n"] += 1
|
| 237 |
+
print(f"[{counter['n']}/{len(todo)}] SKIP {it['id']}: video not found")
|
| 238 |
+
return
|
| 239 |
+
try:
|
| 240 |
+
judge = judge_video(client, args.model, args.effort, it["prompt"],
|
| 241 |
+
video_path, args.k_frames, args.max_side)
|
| 242 |
+
record = {**meta, **{axis: judge[axis] for axis in AXES},
|
| 243 |
+
"reason": judge.get("reason", "")}
|
| 244 |
+
line = " ".join(f"{axis.split('_')[0]}={judge[axis]:.0f}" for axis in AXES)
|
| 245 |
+
except Exception as exc:
|
| 246 |
+
record = {**meta, "error": f"{type(exc).__name__}: {exc}"[:300]}
|
| 247 |
+
line = f"ERROR {exc}"
|
| 248 |
+
with write_lock:
|
| 249 |
+
counter["n"] += 1
|
| 250 |
+
print(f"[{counter['n']}/{len(todo)}] {it['id']}: {line}", flush=True)
|
| 251 |
+
with open(scores_path, "a") as f:
|
| 252 |
+
f.write(json.dumps(record) + "\n")
|
| 253 |
+
|
| 254 |
+
with ThreadPoolExecutor(max_workers=max(1, args.concurrency)) as pool:
|
| 255 |
+
list(pool.map(work, todo))
|
| 256 |
+
|
| 257 |
+
print(f"done -> {scores_path}")
|
| 258 |
+
|
| 259 |
+
|
| 260 |
+
if __name__ == "__main__":
|
| 261 |
+
main()
|
bench_t2v_space/summarize.py
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Aggregate score_claude.py output into a per-video score file and a summary.
|
| 3 |
+
|
| 4 |
+
Replaces the old combine.py, which merged two judges (Qwen3.5 + VideoScore2).
|
| 5 |
+
Claude Opus 5 is now the only judge, so there is nothing to combine -- the
|
| 6 |
+
score is just the mean of the three rubric axes:
|
| 7 |
+
|
| 8 |
+
score = mean(alignment, quality, smoothness) / 10
|
| 9 |
+
pass = alignment >= 8 and quality >= 7
|
| 10 |
+
|
| 11 |
+
Thresholds are carried over unchanged from combine.py (alignment >= 8 means a
|
| 12 |
+
near-perfect place match, not just "recognizable"); the VideoScore2
|
| 13 |
+
`min(v,t,p) >= 4` gate is gone with the model that produced it.
|
| 14 |
+
|
| 15 |
+
Run once per manifest, matching score_claude.py's --out-dir:
|
| 16 |
+
python summarize.py --out-dir outputs/worldwide
|
| 17 |
+
python summarize.py --out-dir outputs/usa
|
| 18 |
+
Output: <out-dir>/scores.jsonl (per-video) + <out-dir>/summary.json.
|
| 19 |
+
"""
|
| 20 |
+
from __future__ import annotations
|
| 21 |
+
|
| 22 |
+
import argparse
|
| 23 |
+
import json
|
| 24 |
+
from pathlib import Path
|
| 25 |
+
|
| 26 |
+
import numpy as np
|
| 27 |
+
|
| 28 |
+
HERE = Path(__file__).resolve().parent
|
| 29 |
+
|
| 30 |
+
AXES = ("alignment", "quality", "smoothness")
|
| 31 |
+
GROUP_KEYS = ("mode", "continent")
|
| 32 |
+
|
| 33 |
+
PASS_ALIGNMENT = 8.0
|
| 34 |
+
PASS_QUALITY = 7.0
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def passed(r: dict) -> bool:
|
| 38 |
+
return r["alignment"] >= PASS_ALIGNMENT and r["quality"] >= PASS_QUALITY
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
# --- generic below this line -------------------------------------------------
|
| 42 |
+
|
| 43 |
+
def parse_args() -> argparse.Namespace:
|
| 44 |
+
p = argparse.ArgumentParser(description="Summarize Claude judge scores.")
|
| 45 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs" / "worldwide"))
|
| 46 |
+
return p.parse_args()
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
def load_jsonl(path: Path) -> list[dict]:
|
| 50 |
+
if not path.exists():
|
| 51 |
+
raise SystemExit(f"missing {path} -- run score_claude.py first")
|
| 52 |
+
return [json.loads(l) for l in path.read_text().splitlines() if l.strip()]
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
def main() -> None:
|
| 56 |
+
args = parse_args()
|
| 57 |
+
out_dir = Path(args.out_dir)
|
| 58 |
+
records = load_jsonl(out_dir / "claude_scores.jsonl")
|
| 59 |
+
|
| 60 |
+
merged = []
|
| 61 |
+
for r in sorted(records, key=lambda x: x["id"]):
|
| 62 |
+
if "error" in r:
|
| 63 |
+
merged.append({**{k: v for k, v in r.items() if k != "reason"}, "pass": False})
|
| 64 |
+
continue
|
| 65 |
+
score = sum(r[axis] for axis in AXES) / (10.0 * len(AXES))
|
| 66 |
+
merged.append({**r, "score": round(score, 4), "pass": passed(r)})
|
| 67 |
+
|
| 68 |
+
scores_path = out_dir / "scores.jsonl"
|
| 69 |
+
scores_path.write_text("\n".join(json.dumps(r) for r in merged) + "\n")
|
| 70 |
+
|
| 71 |
+
ok = [r for r in merged if "error" not in r]
|
| 72 |
+
summary = {
|
| 73 |
+
"judge": "claude-opus-5 (bedrock)",
|
| 74 |
+
"num_scored": len(merged),
|
| 75 |
+
"num_ok": len(ok),
|
| 76 |
+
"num_errors": len(merged) - len(ok),
|
| 77 |
+
"pass_rate": round(sum(r["pass"] for r in ok) / len(ok), 3) if ok else None,
|
| 78 |
+
"mean_score": round(float(np.mean([r["score"] for r in ok])), 3) if ok else None,
|
| 79 |
+
}
|
| 80 |
+
for axis in AXES:
|
| 81 |
+
summary[f"mean_{axis}"] = round(float(np.mean([r[axis] for r in ok])), 3) if ok else None
|
| 82 |
+
for key in GROUP_KEYS:
|
| 83 |
+
groups: dict = {}
|
| 84 |
+
for r in ok:
|
| 85 |
+
groups.setdefault(r[key], []).append(r["score"])
|
| 86 |
+
summary[f"mean_score_by_{key}"] = {k: round(float(np.mean(v)), 3)
|
| 87 |
+
for k, v in sorted(groups.items())}
|
| 88 |
+
|
| 89 |
+
(out_dir / "summary.json").write_text(json.dumps(summary, indent=2))
|
| 90 |
+
print(json.dumps(summary, indent=2))
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
if __name__ == "__main__":
|
| 94 |
+
main()
|
bench_t2v_space/usa/results.jsonl
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": "statue_of_liberty", "started_at": 1786161065.04787, "status": "ok", "bytes": 7563158, "inference_s": "204.657", "wall_s": 204.7}
|
| 2 |
+
{"id": "golden_gate_bridge", "started_at": 1786161269.720669, "status": "ok", "bytes": 7493197, "inference_s": "204.728", "wall_s": 204.7}
|
| 3 |
+
{"id": "grand_canyon", "started_at": 1786161474.4630237, "status": "ok", "bytes": 7494778, "inference_s": "204.772", "wall_s": 204.8}
|
| 4 |
+
{"id": "mount_rushmore", "started_at": 1786161679.248931, "status": "ok", "bytes": 8552413, "inference_s": "204.697", "wall_s": 204.7}
|
| 5 |
+
{"id": "times_square", "started_at": 1786161883.9616501, "status": "ok", "bytes": 10791387, "inference_s": "204.766", "wall_s": 204.8}
|
| 6 |
+
{"id": "niagara_falls", "started_at": 1786162088.745365, "status": "ok", "bytes": 8148886, "inference_s": "204.711", "wall_s": 204.7}
|
| 7 |
+
{"id": "empire_state_building", "started_at": 1786162293.4707496, "status": "ok", "bytes": 8931753, "inference_s": "204.748", "wall_s": 204.8}
|
| 8 |
+
{"id": "brooklyn_bridge", "started_at": 1786162498.2355442, "status": "ok", "bytes": 13649711, "inference_s": "204.821", "wall_s": 204.8}
|
| 9 |
+
{"id": "hollywood_sign", "started_at": 1786162703.0782042, "status": "ok", "bytes": 6677622, "inference_s": "204.634", "wall_s": 204.6}
|
| 10 |
+
{"id": "alcatraz_island", "started_at": 1786162907.7248933, "status": "ok", "bytes": 6839826, "inference_s": "204.607", "wall_s": 204.6}
|
| 11 |
+
{"id": "yellowstone_national_park", "started_at": 1786163112.343973, "status": "ok", "bytes": 10447099, "inference_s": "204.485", "wall_s": 204.5}
|
| 12 |
+
{"id": "yosemite_national_park", "started_at": 1786163316.8470333, "status": "ok", "bytes": 10055586, "inference_s": "204.722", "wall_s": 204.7}
|
| 13 |
+
{"id": "hoover_dam", "started_at": 1786163521.586486, "status": "ok", "bytes": 6840557, "inference_s": "204.726", "wall_s": 204.7}
|
| 14 |
+
{"id": "space_needle", "started_at": 1786163726.3255637, "status": "ok", "bytes": 8861649, "inference_s": "204.836", "wall_s": 204.9}
|
| 15 |
+
{"id": "antelope_canyon", "started_at": 1786163931.1767712, "status": "ok", "bytes": 6843699, "inference_s": "204.689", "wall_s": 204.7}
|
| 16 |
+
{"id": "monument_valley", "started_at": 1786164135.877317, "status": "ok", "bytes": 6283709, "inference_s": "204.543", "wall_s": 204.6}
|
| 17 |
+
{"id": "u_s__space___rocket_center", "started_at": 1786164340.4321773, "status": "ok", "bytes": 10011840, "inference_s": "204.790", "wall_s": 204.8}
|
| 18 |
+
{"id": "denali", "started_at": 1786164545.238027, "status": "ok", "bytes": 6493710, "inference_s": "204.564", "wall_s": 204.6}
|
| 19 |
+
{"id": "hot_springs_national_park", "started_at": 1786164749.8137622, "status": "ok", "bytes": 10399532, "inference_s": "204.701", "wall_s": 204.7}
|
| 20 |
+
{"id": "rocky_mountain_national_park", "started_at": 1786164954.5327113, "status": "ok", "bytes": 8285680, "inference_s": "204.578", "wall_s": 204.6}
|
| 21 |
+
{"id": "mystic_seaport", "started_at": 1786165159.1253247, "status": "ok", "bytes": 12792619, "inference_s": "204.748", "wall_s": 204.8}
|
| 22 |
+
{"id": "first_state_national_historical_park", "started_at": 1786165363.8942099, "status": "ok", "bytes": 17015233, "inference_s": "204.748", "wall_s": 204.8}
|
| 23 |
+
{"id": "kennedy_space_center", "started_at": 1786165568.6696925, "status": "ok", "bytes": 11158736, "inference_s": "204.782", "wall_s": 204.8}
|
| 24 |
+
{"id": "stone_mountain", "started_at": 1786165773.469654, "status": "ok", "bytes": 9530116, "inference_s": "204.576", "wall_s": 204.6}
|
| 25 |
+
{"id": "diamond_head", "started_at": 1786165978.0621438, "status": "ok", "bytes": 9782905, "inference_s": "204.768", "wall_s": 204.8}
|
| 26 |
+
{"id": "craters_of_the_moon_national_monument_and_preserve", "started_at": 1786166182.8473785, "status": "ok", "bytes": 9555999, "inference_s": "204.548", "wall_s": 204.6}
|
| 27 |
+
{"id": "cloud_gate", "started_at": 1786166387.4113097, "status": "ok", "bytes": 11884789, "inference_s": "204.570", "wall_s": 204.6}
|
| 28 |
+
{"id": "indianapolis_motor_speedway", "started_at": 1786166592.0007184, "status": "ok", "bytes": 9376422, "inference_s": "204.570", "wall_s": 204.6}
|
| 29 |
+
{"id": "iowa_state_capitol", "started_at": 1786166796.5866582, "status": "ok", "bytes": 7476699, "inference_s": "204.791", "wall_s": 204.8}
|
| 30 |
+
{"id": "monument_rocks", "started_at": 1786167001.3941956, "status": "ok", "bytes": 5988497, "inference_s": "204.733", "wall_s": 204.7}
|
| 31 |
+
{"id": "mammoth_cave_national_park", "started_at": 1786167206.1395438, "status": "ok", "bytes": 7903360, "inference_s": "204.268", "wall_s": 204.3}
|
| 32 |
+
{"id": "french_quarter", "started_at": 1786167410.4227543, "status": "ok", "bytes": 11212327, "inference_s": "204.245", "wall_s": 204.3}
|
| 33 |
+
{"id": "acadia_national_park", "started_at": 1786167614.6845675, "status": "ok", "bytes": 7787083, "inference_s": "204.667", "wall_s": 204.7}
|
| 34 |
+
{"id": "fort_mchenry", "started_at": 1786167819.3660767, "status": "ok", "bytes": 7577134, "inference_s": "204.627", "wall_s": 204.6}
|
| 35 |
+
{"id": "fenway_park", "started_at": 1786168024.005971, "status": "ok", "bytes": 11350541, "inference_s": "204.514", "wall_s": 204.5}
|
| 36 |
+
{"id": "mackinac_bridge", "started_at": 1786168228.5389893, "status": "ok", "bytes": 6808372, "inference_s": "204.629", "wall_s": 204.6}
|
| 37 |
+
{"id": "mall_of_america", "started_at": 1786168433.1810317, "status": "ok", "bytes": 14135021, "inference_s": "204.787", "wall_s": 204.8}
|
| 38 |
+
{"id": "vicksburg_national_military_park", "started_at": 1786168637.9899392, "status": "ok", "bytes": 7922305, "inference_s": "204.950", "wall_s": 205.0}
|
| 39 |
+
{"id": "gateway_arch", "started_at": 1786168842.9529126, "status": "ok", "bytes": 7341066, "inference_s": "204.695", "wall_s": 204.7}
|
| 40 |
+
{"id": "glacier_national_park", "started_at": 1786169047.660481, "status": "ok", "bytes": 8439422, "inference_s": "204.580", "wall_s": 204.6}
|
| 41 |
+
{"id": "chimney_rock__nebraska", "started_at": 1786169252.2561479, "status": "ok", "bytes": 4601069, "inference_s": "204.598", "wall_s": 204.6}
|
| 42 |
+
{"id": "mount_washington__new_hampshire", "started_at": 1786169456.8645587, "status": "ok", "bytes": 6151579, "inference_s": "204.634", "wall_s": 204.6}
|
| 43 |
+
{"id": "atlantic_city_boardwalk", "started_at": 1786169661.5111947, "status": "ok", "bytes": 7246145, "inference_s": "204.625", "wall_s": 204.6}
|
| 44 |
+
{"id": "carlsbad_caverns_national_park", "started_at": 1786169866.149246, "status": "ok", "bytes": 6325714, "inference_s": "204.501", "wall_s": 204.5}
|
| 45 |
+
{"id": "biltmore_estate", "started_at": 1786170070.661487, "status": "ok", "bytes": 8895357, "inference_s": "204.647", "wall_s": 204.7}
|
| 46 |
+
{"id": "theodore_roosevelt_national_park", "started_at": 1786170275.3241282, "status": "ok", "bytes": 7894972, "inference_s": "204.764", "wall_s": 204.8}
|
| 47 |
+
{"id": "rock_and_roll_hall_of_fame", "started_at": 1786170480.1027207, "status": "ok", "bytes": 12717170, "inference_s": "204.784", "wall_s": 204.8}
|
| 48 |
+
{"id": "oklahoma_city_national_memorial", "started_at": 1786170684.9067407, "status": "ok", "bytes": 9347320, "inference_s": "204.553", "wall_s": 204.6}
|
| 49 |
+
{"id": "crater_lake_national_park", "started_at": 1786170889.4750173, "status": "ok", "bytes": 8261854, "inference_s": "204.638", "wall_s": 204.7}
|
| 50 |
+
{"id": "liberty_bell", "started_at": 1786171094.127623, "status": "ok", "bytes": 12339024, "inference_s": "204.661", "wall_s": 204.7}
|
| 51 |
+
{"id": "the_breakers", "started_at": 1786171298.8096366, "status": "ok", "bytes": 8179807, "inference_s": "204.509", "wall_s": 204.5}
|
| 52 |
+
{"id": "fort_sumter", "started_at": 1786171503.3329704, "status": "ok", "bytes": 8155840, "inference_s": "204.570", "wall_s": 204.6}
|
| 53 |
+
{"id": "great_smoky_mountains_national_park", "started_at": 1786171707.9164555, "status": "ok", "bytes": 4486588, "inference_s": "204.436", "wall_s": 204.4}
|
| 54 |
+
{"id": "the_alamo", "started_at": 1786171912.3625138, "status": "ok", "bytes": 8112955, "inference_s": "204.692", "wall_s": 204.7}
|
| 55 |
+
{"id": "shelburne_farms", "started_at": 1786172117.068589, "status": "ok", "bytes": 9833292, "inference_s": "204.569", "wall_s": 204.6}
|
| 56 |
+
{"id": "monticello", "started_at": 1786172321.6530724, "status": "ok", "bytes": 7786606, "inference_s": "204.587", "wall_s": 204.6}
|
| 57 |
+
{"id": "new_river_gorge_bridge", "started_at": 1786172526.252685, "status": "ok", "bytes": 9468651, "inference_s": "204.647", "wall_s": 204.7}
|
| 58 |
+
{"id": "wisconsin_state_capitol", "started_at": 1786172730.9159076, "status": "ok", "bytes": 7988279, "inference_s": "204.618", "wall_s": 204.6}
|
| 59 |
+
{"id": "lincoln_memorial", "started_at": 1786172935.5469568, "status": "ok", "bytes": 8303352, "inference_s": "204.620", "wall_s": 204.6}
|
bench_t2v_space/worldwide/results.jsonl
ADDED
|
@@ -0,0 +1,103 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
{"id": "eiffel_tower", "started_at": 1786139978.9429412, "status": "ok", "bytes": 11691252, "inference_s": "205.188", "wall_s": 205.2}
|
| 2 |
+
{"id": "great_wall_of_china", "started_at": 1786140184.1620224, "status": "ok", "bytes": 8160748, "inference_s": "204.716", "wall_s": 204.7}
|
| 3 |
+
{"id": "taj_mahal", "started_at": 1786140388.8948681, "status": "ok", "bytes": 8285743, "inference_s": "204.711", "wall_s": 204.7}
|
| 4 |
+
{"id": "colosseum", "started_at": 1786140593.6218863, "status": "ok", "bytes": 9936033, "inference_s": "204.620", "wall_s": 204.6}
|
| 5 |
+
{"id": "statue_of_liberty", "started_at": 1786140798.2645032, "status": "ok", "bytes": 7563158, "inference_s": "204.563", "wall_s": 204.6}
|
| 6 |
+
{"id": "great_pyramid_of_giza", "started_at": 1786141002.8410273, "status": "ok", "bytes": 10681580, "inference_s": "204.541", "wall_s": 204.6}
|
| 7 |
+
{"id": "machu_picchu", "started_at": 1786141207.3993623, "status": "ok", "bytes": 7487395, "inference_s": "204.668", "wall_s": 204.7}
|
| 8 |
+
{"id": "christ_the_redeemer", "started_at": 1786141412.0847387, "status": "ok", "bytes": 6926448, "inference_s": "204.682", "wall_s": 204.7}
|
| 9 |
+
{"id": "sydney_opera_house", "started_at": 1786141616.7785435, "status": "ok", "bytes": 9387869, "inference_s": "204.728", "wall_s": 204.7}
|
| 10 |
+
{"id": "big_ben", "started_at": 1786141821.5253553, "status": "ok", "bytes": 8750433, "inference_s": "204.760", "wall_s": 204.8}
|
| 11 |
+
{"id": "stonehenge", "started_at": 1786142026.3021417, "status": "ok", "bytes": 7044198, "inference_s": "204.659", "wall_s": 204.7}
|
| 12 |
+
{"id": "acropolis_of_athens", "started_at": 1786142230.9742076, "status": "ok", "bytes": 10707082, "inference_s": "204.653", "wall_s": 204.7}
|
| 13 |
+
{"id": "sagrada_familia", "started_at": 1786142435.6464896, "status": "ok", "bytes": 11397328, "inference_s": "204.683", "wall_s": 204.7}
|
| 14 |
+
{"id": "neuschwanstein_castle", "started_at": 1786142640.3465254, "status": "ok", "bytes": 11081769, "inference_s": "204.729", "wall_s": 204.7}
|
| 15 |
+
{"id": "leaning_tower_of_pisa", "started_at": 1786142845.0937624, "status": "ok", "bytes": 7389708, "inference_s": "204.616", "wall_s": 204.6}
|
| 16 |
+
{"id": "mount_fuji", "started_at": 1786143049.7228563, "status": "ok", "bytes": 6411077, "inference_s": "204.689", "wall_s": 204.7}
|
| 17 |
+
{"id": "golden_gate_bridge", "started_at": 1786143254.4251058, "status": "ok", "bytes": 7493197, "inference_s": "204.690", "wall_s": 204.7}
|
| 18 |
+
{"id": "burj_khalifa", "started_at": 1786143459.1265686, "status": "ok", "bytes": 10246237, "inference_s": "204.778", "wall_s": 204.8}
|
| 19 |
+
{"id": "petra", "started_at": 1786143663.92013, "status": "ok", "bytes": 7753086, "inference_s": "205.140", "wall_s": 205.2}
|
| 20 |
+
{"id": "angkor_wat", "started_at": 1786143869.0733345, "status": "ok", "bytes": 11494006, "inference_s": "204.685", "wall_s": 204.7}
|
| 21 |
+
{"id": "chichen_itza", "started_at": 1786144073.7762568, "status": "ok", "bytes": 7188464, "inference_s": "204.662", "wall_s": 204.7}
|
| 22 |
+
{"id": "niagara_falls", "started_at": 1786144278.45183, "status": "ok", "bytes": 8536539, "inference_s": "204.691", "wall_s": 204.7}
|
| 23 |
+
{"id": "grand_canyon", "started_at": 1786144483.1565144, "status": "ok", "bytes": 7494778, "inference_s": "204.666", "wall_s": 204.7}
|
| 24 |
+
{"id": "mount_rushmore", "started_at": 1786144687.8371778, "status": "ok", "bytes": 8552413, "inference_s": "204.670", "wall_s": 204.7}
|
| 25 |
+
{"id": "times_square", "started_at": 1786144892.5237916, "status": "ok", "bytes": 10791387, "inference_s": "204.777", "wall_s": 204.8}
|
| 26 |
+
{"id": "notre_dame_de_paris", "started_at": 1786145097.3177624, "status": "ok", "bytes": 9541412, "inference_s": "204.719", "wall_s": 204.7}
|
| 27 |
+
{"id": "palace_of_versailles", "started_at": 1786145302.0544405, "status": "ok", "bytes": 12284455, "inference_s": "204.743", "wall_s": 204.8}
|
| 28 |
+
{"id": "buckingham_palace", "started_at": 1786145506.8222418, "status": "ok", "bytes": 12040926, "inference_s": "204.642", "wall_s": 204.7}
|
| 29 |
+
{"id": "tower_bridge", "started_at": 1786145711.4825273, "status": "ok", "bytes": 7485000, "inference_s": "204.700", "wall_s": 204.7}
|
| 30 |
+
{"id": "st__basil_s_cathedral", "started_at": 1786145916.1979308, "status": "ok", "bytes": 9158590, "inference_s": "204.602", "wall_s": 204.6}
|
| 31 |
+
{"id": "red_square", "started_at": 1786146120.8151743, "status": "ok", "bytes": 8807736, "inference_s": "204.519", "wall_s": 204.5}
|
| 32 |
+
{"id": "forbidden_city", "started_at": 1786146325.3525476, "status": "ok", "bytes": 8526566, "inference_s": "204.708", "wall_s": 204.7}
|
| 33 |
+
{"id": "terracotta_army", "started_at": 1786146530.0755079, "status": "ok", "bytes": 9095819, "inference_s": "204.704", "wall_s": 204.7}
|
| 34 |
+
{"id": "himeji_castle", "started_at": 1786146734.7953808, "status": "ok", "bytes": 8851876, "inference_s": "204.678", "wall_s": 204.7}
|
| 35 |
+
{"id": "mount_everest", "started_at": 1786146939.486996, "status": "ok", "bytes": 8270268, "inference_s": "204.613", "wall_s": 204.6}
|
| 36 |
+
{"id": "table_mountain", "started_at": 1786147144.1141882, "status": "ok", "bytes": 7787159, "inference_s": "204.694", "wall_s": 204.7}
|
| 37 |
+
{"id": "victoria_falls", "started_at": 1786147348.8203783, "status": "ok", "bytes": 8736947, "inference_s": "204.695", "wall_s": 204.7}
|
| 38 |
+
{"id": "uluru", "started_at": 1786147553.5294125, "status": "ok", "bytes": 5950572, "inference_s": "204.617", "wall_s": 204.6}
|
| 39 |
+
{"id": "great_barrier_reef", "started_at": 1786147758.1586232, "status": "ok", "bytes": 9323155, "inference_s": "204.701", "wall_s": 204.7}
|
| 40 |
+
{"id": "sydney_harbour_bridge", "started_at": 1786147962.8760128, "status": "ok", "bytes": 11001186, "inference_s": "204.725", "wall_s": 204.7}
|
| 41 |
+
{"id": "cn_tower", "started_at": 1786148167.6185071, "status": "ok", "bytes": 6489996, "inference_s": "204.787", "wall_s": 204.8}
|
| 42 |
+
{"id": "empire_state_building", "started_at": 1786148372.4162664, "status": "ok", "bytes": 8931753, "inference_s": "204.707", "wall_s": 204.7}
|
| 43 |
+
{"id": "brooklyn_bridge", "started_at": 1786148577.1390371, "status": "ok", "bytes": 13649711, "inference_s": "204.892", "wall_s": 204.9}
|
| 44 |
+
{"id": "hollywood_sign", "started_at": 1786148782.0564375, "status": "ok", "bytes": 6677622, "inference_s": "204.762", "wall_s": 204.8}
|
| 45 |
+
{"id": "alcatraz_island", "started_at": 1786148986.8368409, "status": "ok", "bytes": 6839826, "inference_s": "204.710", "wall_s": 204.7}
|
| 46 |
+
{"id": "yellowstone_national_park", "started_at": 1786149191.5606828, "status": "ok", "bytes": 10447099, "inference_s": "204.598", "wall_s": 204.6}
|
| 47 |
+
{"id": "yosemite_national_park", "started_at": 1786149396.1816437, "status": "ok", "bytes": 10055586, "inference_s": "204.600", "wall_s": 204.6}
|
| 48 |
+
{"id": "hoover_dam", "started_at": 1786149600.801957, "status": "ok", "bytes": 6840557, "inference_s": "204.606", "wall_s": 204.6}
|
| 49 |
+
{"id": "space_needle", "started_at": 1786149805.4229012, "status": "ok", "bytes": 8861649, "inference_s": "204.721", "wall_s": 204.7}
|
| 50 |
+
{"id": "salar_de_uyuni", "started_at": 1786150010.1630263, "status": "ok", "bytes": 5153550, "inference_s": "204.538", "wall_s": 204.6}
|
| 51 |
+
{"id": "iguazu_falls", "started_at": 1786150214.7140062, "status": "ok", "bytes": 9179522, "inference_s": "204.742", "wall_s": 204.8}
|
| 52 |
+
{"id": "easter_island_moai", "started_at": 1786150419.4716299, "status": "ok", "bytes": 7957540, "inference_s": "204.723", "wall_s": 204.7}
|
| 53 |
+
{"id": "galapagos_islands", "started_at": 1786150624.2080765, "status": "ok", "bytes": 10923136, "inference_s": "204.699", "wall_s": 204.7}
|
| 54 |
+
{"id": "amazon_rainforest", "started_at": 1786150828.9289021, "status": "ok", "bytes": 13225976, "inference_s": "204.748", "wall_s": 204.8}
|
| 55 |
+
{"id": "cristo_rei", "started_at": 1786151033.6966848, "status": "ok", "bytes": 7492516, "inference_s": "204.760", "wall_s": 204.8}
|
| 56 |
+
{"id": "belem_tower", "started_at": 1786151238.472997, "status": "ok", "bytes": 8858390, "inference_s": "204.784", "wall_s": 204.8}
|
| 57 |
+
{"id": "alhambra", "started_at": 1786151443.2712963, "status": "ok", "bytes": 12757671, "inference_s": "204.717", "wall_s": 204.7}
|
| 58 |
+
{"id": "park_guell", "started_at": 1786151648.007077, "status": "ok", "bytes": 9709732, "inference_s": "204.716", "wall_s": 204.7}
|
| 59 |
+
{"id": "mont_saint_michel", "started_at": 1786151852.741192, "status": "ok", "bytes": 7065137, "inference_s": "204.744", "wall_s": 204.8}
|
| 60 |
+
{"id": "louvre_museum", "started_at": 1786152057.4972687, "status": "ok", "bytes": 9864165, "inference_s": "204.742", "wall_s": 204.8}
|
| 61 |
+
{"id": "arc_de_triomphe", "started_at": 1786152262.2556527, "status": "ok", "bytes": 8932302, "inference_s": "204.999", "wall_s": 205.0}
|
| 62 |
+
{"id": "palace_of_westminster", "started_at": 1786152467.2718906, "status": "ok", "bytes": 9587151, "inference_s": "204.758", "wall_s": 204.8}
|
| 63 |
+
{"id": "edinburgh_castle", "started_at": 1786152672.0475764, "status": "ok", "bytes": 10971909, "inference_s": "204.667", "wall_s": 204.7}
|
| 64 |
+
{"id": "loch_ness", "started_at": 1786152876.7342474, "status": "ok", "bytes": 6596455, "inference_s": "204.565", "wall_s": 204.6}
|
| 65 |
+
{"id": "cliffs_of_moher", "started_at": 1786153081.313435, "status": "ok", "bytes": 8003238, "inference_s": "204.664", "wall_s": 204.7}
|
| 66 |
+
{"id": "trevi_fountain", "started_at": 1786153285.9907277, "status": "ok", "bytes": 9024764, "inference_s": "204.689", "wall_s": 204.7}
|
| 67 |
+
{"id": "vatican_museums", "started_at": 1786153490.6972475, "status": "ok", "bytes": 9530564, "inference_s": "204.795", "wall_s": 204.8}
|
| 68 |
+
{"id": "st__peter_s_basilica", "started_at": 1786153695.5079315, "status": "ok", "bytes": 9026594, "inference_s": "204.689", "wall_s": 204.7}
|
| 69 |
+
{"id": "pantheon_rome", "started_at": 1786153900.212105, "status": "ok", "bytes": 11245002, "inference_s": "204.764", "wall_s": 204.8}
|
| 70 |
+
{"id": "pompeii", "started_at": 1786154104.9941185, "status": "ok", "bytes": 8669249, "inference_s": "204.945", "wall_s": 205.0}
|
| 71 |
+
{"id": "venice_grand_canal", "started_at": 1786154309.9550738, "status": "ok", "bytes": 10032644, "inference_s": "204.765", "wall_s": 204.8}
|
| 72 |
+
{"id": "amalfi_coast", "started_at": 1786154514.7429607, "status": "ok", "bytes": 7771107, "inference_s": "204.514", "wall_s": 204.5}
|
| 73 |
+
{"id": "matterhorn", "started_at": 1786154719.2757401, "status": "ok", "bytes": 7437634, "inference_s": "204.678", "wall_s": 204.7}
|
| 74 |
+
{"id": "swiss_alps", "started_at": 1786154923.9732797, "status": "ok", "bytes": 7551773, "inference_s": "204.587", "wall_s": 204.6}
|
| 75 |
+
{"id": "charles_bridge_prague", "started_at": 1786155128.5739264, "status": "ok", "bytes": 9694125, "inference_s": "204.721", "wall_s": 204.7}
|
| 76 |
+
{"id": "prague_castle", "started_at": 1786155333.3128922, "status": "ok", "bytes": 9417835, "inference_s": "204.659", "wall_s": 204.7}
|
| 77 |
+
{"id": "brandenburg_gate", "started_at": 1786155537.992366, "status": "ok", "bytes": 7905996, "inference_s": "204.649", "wall_s": 204.7}
|
| 78 |
+
{"id": "cologne_cathedral", "started_at": 1786155742.6550658, "status": "ok", "bytes": 10446037, "inference_s": "204.625", "wall_s": 204.6}
|
| 79 |
+
{"id": "hagia_sophia", "started_at": 1786155947.3014364, "status": "ok", "bytes": 9835684, "inference_s": "204.508", "wall_s": 204.5}
|
| 80 |
+
{"id": "blue_mosque", "started_at": 1786156151.8319929, "status": "ok", "bytes": 10945383, "inference_s": "204.522", "wall_s": 204.5}
|
| 81 |
+
{"id": "cappadocia", "started_at": 1786156356.3757846, "status": "ok", "bytes": 6655812, "inference_s": "204.631", "wall_s": 204.6}
|
| 82 |
+
{"id": "luxor_temple", "started_at": 1786156561.024548, "status": "ok", "bytes": 8073811, "inference_s": "204.817", "wall_s": 204.8}
|
| 83 |
+
{"id": "abu_simbel", "started_at": 1786156765.8581717, "status": "ok", "bytes": 8809169, "inference_s": "204.678", "wall_s": 204.7}
|
| 84 |
+
{"id": "marrakech_medina", "started_at": 1786156970.5511818, "status": "ok", "bytes": 10237718, "inference_s": "204.734", "wall_s": 204.8}
|
| 85 |
+
{"id": "sahara_desert", "started_at": 1786157175.3036757, "status": "ok", "bytes": 7566733, "inference_s": "204.526", "wall_s": 204.5}
|
| 86 |
+
{"id": "mount_kilimanjaro", "started_at": 1786157379.8458123, "status": "ok", "bytes": 7119700, "inference_s": "204.509", "wall_s": 204.5}
|
| 87 |
+
{"id": "serengeti_national_park", "started_at": 1786157584.3680782, "status": "ok", "bytes": 8465284, "inference_s": "204.419", "wall_s": 204.4}
|
| 88 |
+
{"id": "zanzibar", "started_at": 1786157788.801241, "status": "ok", "bytes": 8570182, "inference_s": "204.469", "wall_s": 204.5}
|
| 89 |
+
{"id": "table_mountain_cape_town", "started_at": 1786157993.2854335, "status": "ok", "bytes": 9139585, "inference_s": "204.628", "wall_s": 204.6}
|
| 90 |
+
{"id": "robben_island", "started_at": 1786158197.9329846, "status": "ok", "bytes": 9568118, "inference_s": "204.812", "wall_s": 204.8}
|
| 91 |
+
{"id": "bagan_temples", "started_at": 1786158402.7623878, "status": "ok", "bytes": 6212212, "inference_s": "204.661", "wall_s": 204.7}
|
| 92 |
+
{"id": "ha_long_bay", "started_at": 1786158607.4362333, "status": "ok", "bytes": 8307356, "inference_s": "204.631", "wall_s": 204.6}
|
| 93 |
+
{"id": "angkor_thom", "started_at": 1786158812.0815642, "status": "ok", "bytes": 10661859, "inference_s": "204.646", "wall_s": 204.7}
|
| 94 |
+
{"id": "borobudur", "started_at": 1786159016.7439947, "status": "ok", "bytes": 8699572, "inference_s": "204.665", "wall_s": 204.7}
|
| 95 |
+
{"id": "mount_bromo", "started_at": 1786159221.4224873, "status": "ok", "bytes": 6676498, "inference_s": "204.484", "wall_s": 204.5}
|
| 96 |
+
{"id": "petronas_towers", "started_at": 1786159425.919704, "status": "ok", "bytes": 11168634, "inference_s": "204.649", "wall_s": 204.7}
|
| 97 |
+
{"id": "marina_bay_sands", "started_at": 1786159630.5872703, "status": "ok", "bytes": 8865299, "inference_s": "204.510", "wall_s": 204.5}
|
| 98 |
+
{"id": "milford_sound", "started_at": 1786159835.111812, "status": "ok", "bytes": 13223153, "inference_s": "204.740", "wall_s": 204.8}
|
| 99 |
+
{"id": "sky_tower_auckland", "started_at": 1786160039.8757138, "status": "ok", "bytes": 9584361, "inference_s": "204.837", "wall_s": 204.9}
|
| 100 |
+
{"id": "twelve_apostles_australia", "started_at": 1786160244.7306328, "status": "ok", "bytes": 7180694, "inference_s": "204.671", "wall_s": 204.7}
|
| 101 |
+
{"id": "antelope_canyon", "started_at": 1786160449.4154937, "status": "ok", "bytes": 6843699, "inference_s": "204.576", "wall_s": 204.6}
|
| 102 |
+
{"id": "monument_valley", "started_at": 1786160654.0051894, "status": "ok", "bytes": 6283709, "inference_s": "204.656", "wall_s": 204.7}
|
| 103 |
+
{"id": "banff_national_park", "started_at": 1786160858.6731758, "status": "ok", "bytes": 6830347, "inference_s": "204.677", "wall_s": 204.7}
|
bench_t2v_space_comprehensive/manifest.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "hand-curated famous cities/places (places.py), one driving-or-walking POV prompt each",
|
| 3 |
+
"num_items": 137,
|
| 4 |
+
"modes": [
|
| 5 |
+
"driving",
|
| 6 |
+
"walking"
|
| 7 |
+
],
|
| 8 |
+
"sampling": {
|
| 9 |
+
"width": 1280,
|
| 10 |
+
"height": 720,
|
| 11 |
+
"num_frames": 189,
|
| 12 |
+
"fps": 24,
|
| 13 |
+
"num_inference_steps": 35,
|
| 14 |
+
"guidance_scale": 6.0,
|
| 15 |
+
"flow_shift": 10.0,
|
| 16 |
+
"seed": 0
|
| 17 |
+
},
|
| 18 |
+
"items": [
|
| 19 |
+
{
|
| 20 |
+
"id": "eiffel_tower___champ_de_mars",
|
| 21 |
+
"place": "Eiffel Tower & Champ de Mars",
|
| 22 |
+
"city": "Paris",
|
| 23 |
+
"country": "France",
|
| 24 |
+
"continent": "Europe",
|
| 25 |
+
"mode": "walking",
|
| 26 |
+
"prompt": "A first-person POV walking through the Eiffel Tower's iron lattice structure rising over the green lawns of the Champ de Mars, with Parisian Haussmann-style buildings lining the surrounding avenues.",
|
| 27 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"id": "tower_bridge___the_thames",
|
| 31 |
+
"place": "Tower Bridge & the Thames",
|
| 32 |
+
"city": "London",
|
| 33 |
+
"country": "United Kingdom",
|
| 34 |
+
"continent": "Europe",
|
| 35 |
+
"mode": "driving",
|
| 36 |
+
"prompt": "A dashcam POV driving through Tower Bridge's twin Victorian Gothic towers spanning the River Thames, with London's skyline and red double-decker buses nearby.",
|
| 37 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"id": "sagrada_familia",
|
| 41 |
+
"place": "Sagrada Familia",
|
| 42 |
+
"city": "Barcelona",
|
| 43 |
+
"country": "Spain",
|
| 44 |
+
"continent": "Europe",
|
| 45 |
+
"mode": "walking",
|
| 46 |
+
"prompt": "A first-person POV walking through Gaudi's Sagrada Familia basilica with its tall organic spires rising above the surrounding Barcelona street grid.",
|
| 47 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"id": "colosseum___roman_forum",
|
| 51 |
+
"place": "Colosseum & Roman Forum",
|
| 52 |
+
"city": "Rome",
|
| 53 |
+
"country": "Italy",
|
| 54 |
+
"continent": "Europe",
|
| 55 |
+
"mode": "walking",
|
| 56 |
+
"prompt": "A first-person POV walking through the ancient Colosseum's tiered stone arches beside the ruined columns of the Roman Forum.",
|
| 57 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"id": "red_square___st__basil_s_cathedral",
|
| 61 |
+
"place": "Red Square & St. Basil's Cathedral",
|
| 62 |
+
"city": "Moscow",
|
| 63 |
+
"country": "Russia",
|
| 64 |
+
"continent": "Europe",
|
| 65 |
+
"mode": "walking",
|
| 66 |
+
"prompt": "A first-person POV walking through the vast cobblestone expanse of Red Square with St. Basil's Cathedral's colorful onion domes and the red Kremlin walls.",
|
| 67 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"id": "brandenburg_gate",
|
| 71 |
+
"place": "Brandenburg Gate",
|
| 72 |
+
"city": "Berlin",
|
| 73 |
+
"country": "Germany",
|
| 74 |
+
"continent": "Europe",
|
| 75 |
+
"mode": "walking",
|
| 76 |
+
"prompt": "A first-person POV walking through the neoclassical columns and quadriga statue of the Brandenburg Gate at the end of the wide Unter den Linden boulevard.",
|
| 77 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"id": "amsterdam_canal_ring",
|
| 81 |
+
"place": "Amsterdam Canal Ring",
|
| 82 |
+
"city": "Amsterdam",
|
| 83 |
+
"country": "Netherlands",
|
| 84 |
+
"continent": "Europe",
|
| 85 |
+
"mode": "walking",
|
| 86 |
+
"prompt": "A first-person POV walking through narrow tilted brick canal houses lining a tree-shaded Amsterdam canal, with bicycles parked along the water and arched stone bridges.",
|
| 87 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"id": "santorini_caldera_villages",
|
| 91 |
+
"place": "Santorini Caldera Villages",
|
| 92 |
+
"city": "Oia",
|
| 93 |
+
"country": "Greece",
|
| 94 |
+
"continent": "Europe",
|
| 95 |
+
"mode": "walking",
|
| 96 |
+
"prompt": "A first-person POV walking through whitewashed cave houses and blue-domed churches perched along the cliffside of the Santorini caldera overlooking the deep blue Aegean Sea.",
|
| 97 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"id": "charles_bridge",
|
| 101 |
+
"place": "Charles Bridge",
|
| 102 |
+
"city": "Prague",
|
| 103 |
+
"country": "Czech Republic",
|
| 104 |
+
"continent": "Europe",
|
| 105 |
+
"mode": "walking",
|
| 106 |
+
"prompt": "A first-person POV walking through the Gothic stone arches and baroque statues lining Charles Bridge over the Vltava River with Prague Castle on the hill beyond.",
|
| 107 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"id": "neuschwanstein_castle_road",
|
| 111 |
+
"place": "Neuschwanstein Castle Road",
|
| 112 |
+
"city": "Schwangau",
|
| 113 |
+
"country": "Germany",
|
| 114 |
+
"continent": "Europe",
|
| 115 |
+
"mode": "driving",
|
| 116 |
+
"prompt": "A dashcam POV driving through a forested mountain road winding up toward the fairy-tale white towers of Neuschwanstein Castle.",
|
| 117 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"id": "trolltunga_cliff_trail",
|
| 121 |
+
"place": "Trolltunga Cliff Trail",
|
| 122 |
+
"city": "Odda",
|
| 123 |
+
"country": "Norway",
|
| 124 |
+
"continent": "Europe",
|
| 125 |
+
"mode": "walking",
|
| 126 |
+
"prompt": "A first-person POV walking through a rocky hiking trail along a Norwegian fjord leading to the flat Trolltunga cliff jutting out high above the blue water.",
|
| 127 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"id": "piazza_san_marco",
|
| 131 |
+
"place": "Piazza San Marco",
|
| 132 |
+
"city": "Venice",
|
| 133 |
+
"country": "Italy",
|
| 134 |
+
"continent": "Europe",
|
| 135 |
+
"mode": "walking",
|
| 136 |
+
"prompt": "A first-person POV walking through the open expanse of Piazza San Marco with the Byzantine domes of St Mark's Basilica and its tall bell tower, pigeons scattered across the paving.",
|
| 137 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"id": "acropolis___parthenon",
|
| 141 |
+
"place": "Acropolis & Parthenon",
|
| 142 |
+
"city": "Athens",
|
| 143 |
+
"country": "Greece",
|
| 144 |
+
"continent": "Europe",
|
| 145 |
+
"mode": "walking",
|
| 146 |
+
"prompt": "A first-person POV walking through the marble columns of the Parthenon atop the rocky Acropolis hill overlooking the sprawling white city of Athens.",
|
| 147 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"id": "ring_road__golden_circle",
|
| 151 |
+
"place": "Ring Road (Golden Circle)",
|
| 152 |
+
"city": "Thingvellir",
|
| 153 |
+
"country": "Iceland",
|
| 154 |
+
"continent": "Europe",
|
| 155 |
+
"mode": "driving",
|
| 156 |
+
"prompt": "A dashcam POV driving through a lone highway crossing a stark volcanic Icelandic landscape of moss-covered lava fields, distant glaciers, and steaming geothermal vents.",
|
| 157 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"id": "cliffs_of_moher_coastal_path",
|
| 161 |
+
"place": "Cliffs of Moher Coastal Path",
|
| 162 |
+
"city": "County Clare",
|
| 163 |
+
"country": "Ireland",
|
| 164 |
+
"continent": "Europe",
|
| 165 |
+
"mode": "walking",
|
| 166 |
+
"prompt": "A first-person POV walking through a grassy clifftop trail along the towering Cliffs of Moher with the Atlantic Ocean crashing far below.",
|
| 167 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"id": "nyhavn_waterfront",
|
| 171 |
+
"place": "Nyhavn Waterfront",
|
| 172 |
+
"city": "Copenhagen",
|
| 173 |
+
"country": "Denmark",
|
| 174 |
+
"continent": "Europe",
|
| 175 |
+
"mode": "walking",
|
| 176 |
+
"prompt": "A first-person POV walking through the brightly colored 17th-century townhouses lining the Nyhavn canal, with wooden sailboats moored along the quay.",
|
| 177 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"id": "bergen_s_bryggen_wharf",
|
| 181 |
+
"place": "Bergen's Bryggen Wharf",
|
| 182 |
+
"city": "Bergen",
|
| 183 |
+
"country": "Norway",
|
| 184 |
+
"continent": "Europe",
|
| 185 |
+
"mode": "walking",
|
| 186 |
+
"prompt": "A first-person POV walking through the tilted, colorful wooden Hanseatic buildings of Bryggen wharf lining Bergen's harbor beneath green mountains.",
|
| 187 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"id": "plaza_mayor",
|
| 191 |
+
"place": "Plaza Mayor",
|
| 192 |
+
"city": "Madrid",
|
| 193 |
+
"country": "Spain",
|
| 194 |
+
"continent": "Europe",
|
| 195 |
+
"mode": "walking",
|
| 196 |
+
"prompt": "A first-person POV walking through the arcaded red facades and central equestrian statue of Madrid's grand Plaza Mayor.",
|
| 197 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"id": "chain_bridge___buda_castle",
|
| 201 |
+
"place": "Chain Bridge & Buda Castle",
|
| 202 |
+
"city": "Budapest",
|
| 203 |
+
"country": "Hungary",
|
| 204 |
+
"continent": "Europe",
|
| 205 |
+
"mode": "walking",
|
| 206 |
+
"prompt": "A first-person POV walking through the Chain Bridge's stone lion statues and iron cables spanning the Danube, with Buda Castle's domed silhouette on the hill above.",
|
| 207 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"id": "old_town_market_square",
|
| 211 |
+
"place": "Old Town Market Square",
|
| 212 |
+
"city": "Krakow",
|
| 213 |
+
"country": "Poland",
|
| 214 |
+
"continent": "Europe",
|
| 215 |
+
"mode": "walking",
|
| 216 |
+
"prompt": "A first-person POV walking through the Gothic spires of St. Mary's Basilica and the long Renaissance Cloth Hall lining Krakow's medieval market square.",
|
| 217 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"id": "dubrovnik_city_walls",
|
| 221 |
+
"place": "Dubrovnik City Walls",
|
| 222 |
+
"city": "Dubrovnik",
|
| 223 |
+
"country": "Croatia",
|
| 224 |
+
"continent": "Europe",
|
| 225 |
+
"mode": "walking",
|
| 226 |
+
"prompt": "A first-person POV walking through the orange-tiled rooftops of Dubrovnik's old town seen from the top of its massive stone city walls, with the Adriatic Sea beyond.",
|
| 227 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"id": "lucerne_s_chapel_bridge",
|
| 231 |
+
"place": "Lucerne's Chapel Bridge",
|
| 232 |
+
"city": "Lucerne",
|
| 233 |
+
"country": "Switzerland",
|
| 234 |
+
"continent": "Europe",
|
| 235 |
+
"mode": "walking",
|
| 236 |
+
"prompt": "A first-person POV walking through the medieval wooden Chapel Bridge with its stone water tower crossing the Reuss River, snow-capped Alps visible in the distance.",
|
| 237 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"id": "ringstrasse___schonbrunn_palace",
|
| 241 |
+
"place": "Ringstrasse & Schonbrunn Palace",
|
| 242 |
+
"city": "Vienna",
|
| 243 |
+
"country": "Austria",
|
| 244 |
+
"continent": "Europe",
|
| 245 |
+
"mode": "driving",
|
| 246 |
+
"prompt": "A dashcam POV driving through the grand yellow facade and manicured gardens of Schonbrunn Palace along Vienna's Ringstrasse boulevard.",
|
| 247 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"id": "belem_tower___tagus_riverfront",
|
| 251 |
+
"place": "Belem Tower & Tagus Riverfront",
|
| 252 |
+
"city": "Lisbon",
|
| 253 |
+
"country": "Portugal",
|
| 254 |
+
"continent": "Europe",
|
| 255 |
+
"mode": "walking",
|
| 256 |
+
"prompt": "A first-person POV walking through the fortified stone turrets of Belem Tower on the banks of the Tagus River, with Lisbon's pastel-colored hillside buildings behind it.",
|
| 257 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"id": "grand_place",
|
| 261 |
+
"place": "Grand Place",
|
| 262 |
+
"city": "Brussels",
|
| 263 |
+
"country": "Belgium",
|
| 264 |
+
"continent": "Europe",
|
| 265 |
+
"mode": "walking",
|
| 266 |
+
"prompt": "A first-person POV walking through the ornate gilded guild-house facades and Gothic town hall spire surrounding Brussels' Grand Place.",
|
| 267 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"id": "gamla_stan_old_town",
|
| 271 |
+
"place": "Gamla Stan Old Town",
|
| 272 |
+
"city": "Stockholm",
|
| 273 |
+
"country": "Sweden",
|
| 274 |
+
"continent": "Europe",
|
| 275 |
+
"mode": "walking",
|
| 276 |
+
"prompt": "A first-person POV walking through the narrow cobblestone lanes and colorful medieval buildings of Stockholm's Gamla Stan island, water visible at the street ends.",
|
| 277 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"id": "senate_square",
|
| 281 |
+
"place": "Senate Square",
|
| 282 |
+
"city": "Helsinki",
|
| 283 |
+
"country": "Finland",
|
| 284 |
+
"continent": "Europe",
|
| 285 |
+
"mode": "walking",
|
| 286 |
+
"prompt": "A first-person POV walking through the white neoclassical Helsinki Cathedral atop its broad staircase overlooking the granite-paved Senate Square.",
|
| 287 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"id": "lake_bled_island_road",
|
| 291 |
+
"place": "Lake Bled Island Road",
|
| 292 |
+
"city": "Bled",
|
| 293 |
+
"country": "Slovenia",
|
| 294 |
+
"continent": "Europe",
|
| 295 |
+
"mode": "driving",
|
| 296 |
+
"prompt": "A dashcam POV driving through a lakeside road circling turquoise Lake Bled with its tiny island church and a cliffside castle rising above the far shore.",
|
| 297 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"id": "transfagarasan_highway",
|
| 301 |
+
"place": "Transfagarasan Highway",
|
| 302 |
+
"city": "Fagaras Mountains",
|
| 303 |
+
"country": "Romania",
|
| 304 |
+
"continent": "Europe",
|
| 305 |
+
"mode": "driving",
|
| 306 |
+
"prompt": "A dashcam POV driving through a dramatic switchback mountain highway climbing through the Fagaras range with hairpin turns and jagged Carpathian peaks.",
|
| 307 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"id": "rila_monastery_grounds",
|
| 311 |
+
"place": "Rila Monastery Grounds",
|
| 312 |
+
"city": "Rila",
|
| 313 |
+
"country": "Bulgaria",
|
| 314 |
+
"continent": "Europe",
|
| 315 |
+
"mode": "walking",
|
| 316 |
+
"prompt": "A first-person POV walking through the striped red-and-black arcades and colorful frescoed courtyard of Rila Monastery, forested mountains rising behind it.",
|
| 317 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"id": "tbilisi_old_town",
|
| 321 |
+
"place": "Tbilisi Old Town",
|
| 322 |
+
"city": "Tbilisi",
|
| 323 |
+
"country": "Georgia",
|
| 324 |
+
"continent": "Europe",
|
| 325 |
+
"mode": "walking",
|
| 326 |
+
"prompt": "A first-person POV walking through the leaning wooden-balconied houses and sulfur bathhouse domes of Tbilisi's old town beneath a hilltop fortress.",
|
| 327 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"id": "royal_mile",
|
| 331 |
+
"place": "Royal Mile",
|
| 332 |
+
"city": "Edinburgh",
|
| 333 |
+
"country": "United Kingdom",
|
| 334 |
+
"continent": "Europe",
|
| 335 |
+
"mode": "walking",
|
| 336 |
+
"prompt": "A first-person POV walking through the cobbled Royal Mile climbing between tall stone tenements toward the ramparts of Edinburgh Castle on its volcanic crag.",
|
| 337 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"id": "valletta_grand_harbour",
|
| 341 |
+
"place": "Valletta Grand Harbour",
|
| 342 |
+
"city": "Valletta",
|
| 343 |
+
"country": "Malta",
|
| 344 |
+
"continent": "Europe",
|
| 345 |
+
"mode": "walking",
|
| 346 |
+
"prompt": "A first-person POV walking through the honey-colored limestone bastions and baroque church domes of Valletta overlooking the deep blue Grand Harbour.",
|
| 347 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"id": "monte_carlo_harbour",
|
| 351 |
+
"place": "Monte Carlo Harbour",
|
| 352 |
+
"city": "Monaco",
|
| 353 |
+
"country": "Monaco",
|
| 354 |
+
"continent": "Europe",
|
| 355 |
+
"mode": "driving",
|
| 356 |
+
"prompt": "A dashcam POV driving through luxury yachts lining Monte Carlo's harbour beneath the Rock of Monaco's palace and dense white high-rises climbing the hillside.",
|
| 357 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"id": "luxembourg_old_town_bridges",
|
| 361 |
+
"place": "Luxembourg Old Town Bridges",
|
| 362 |
+
"city": "Luxembourg City",
|
| 363 |
+
"country": "Luxembourg",
|
| 364 |
+
"continent": "Europe",
|
| 365 |
+
"mode": "walking",
|
| 366 |
+
"prompt": "A first-person POV walking through tall stone viaducts and fortress ramparts spanning the deep green Petrusse valley below Luxembourg City's old town.",
|
| 367 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"id": "shibuya_crossing",
|
| 371 |
+
"place": "Shibuya Crossing",
|
| 372 |
+
"city": "Tokyo",
|
| 373 |
+
"country": "Japan",
|
| 374 |
+
"continent": "Asia",
|
| 375 |
+
"mode": "walking",
|
| 376 |
+
"prompt": "A first-person POV walking through the famous scramble crossing at Shibuya with dense crowds of pedestrians and giant illuminated video billboards overhead.",
|
| 377 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"id": "great_wall_at_mutianyu",
|
| 381 |
+
"place": "Great Wall at Mutianyu",
|
| 382 |
+
"city": "Beijing",
|
| 383 |
+
"country": "China",
|
| 384 |
+
"continent": "Asia",
|
| 385 |
+
"mode": "walking",
|
| 386 |
+
"prompt": "A first-person POV walking through the Great Wall's stone ramparts and watchtowers snaking along a forested mountain ridge.",
|
| 387 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"id": "marina_bay_skyline",
|
| 391 |
+
"place": "Marina Bay Skyline",
|
| 392 |
+
"city": "Singapore",
|
| 393 |
+
"country": "Singapore",
|
| 394 |
+
"continent": "Asia",
|
| 395 |
+
"mode": "driving",
|
| 396 |
+
"prompt": "A dashcam POV driving through the three connected towers of Marina Bay Sands with its rooftop skypark overlooking Singapore's futuristic waterfront skyline.",
|
| 397 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"id": "grand_bazaar_alleys",
|
| 401 |
+
"place": "Grand Bazaar Alleys",
|
| 402 |
+
"city": "Istanbul",
|
| 403 |
+
"country": "Turkey",
|
| 404 |
+
"continent": "Asia",
|
| 405 |
+
"mode": "walking",
|
| 406 |
+
"prompt": "A first-person POV walking through the vaulted, lantern-lit stone corridors of Istanbul's Grand Bazaar lined with carpet, spice, and lantern stalls.",
|
| 407 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"id": "burj_khalifa___downtown_dubai",
|
| 411 |
+
"place": "Burj Khalifa & Downtown Dubai",
|
| 412 |
+
"city": "Dubai",
|
| 413 |
+
"country": "United Arab Emirates",
|
| 414 |
+
"continent": "Asia",
|
| 415 |
+
"mode": "driving",
|
| 416 |
+
"prompt": "A dashcam POV driving through the needle-thin Burj Khalifa towering over Dubai's glass skyscrapers and wide multi-lane highways.",
|
| 417 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"id": "taj_mahal___reflecting_pool",
|
| 421 |
+
"place": "Taj Mahal & Reflecting Pool",
|
| 422 |
+
"city": "Agra",
|
| 423 |
+
"country": "India",
|
| 424 |
+
"continent": "Asia",
|
| 425 |
+
"mode": "walking",
|
| 426 |
+
"prompt": "A first-person POV walking through the white marble domes and minarets of the Taj Mahal mirrored in its long reflecting pool with manicured gardens.",
|
| 427 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"id": "ha_long_bay_waterway",
|
| 431 |
+
"place": "Ha Long Bay Waterway",
|
| 432 |
+
"city": "Ha Long",
|
| 433 |
+
"country": "Vietnam",
|
| 434 |
+
"continent": "Asia",
|
| 435 |
+
"mode": "driving",
|
| 436 |
+
"prompt": "A dashcam POV driving through limestone karst islands rising out of the emerald waters of Ha Long Bay with traditional wooden junk boats.",
|
| 437 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"id": "grand_palace_complex",
|
| 441 |
+
"place": "Grand Palace Complex",
|
| 442 |
+
"city": "Bangkok",
|
| 443 |
+
"country": "Thailand",
|
| 444 |
+
"continent": "Asia",
|
| 445 |
+
"mode": "walking",
|
| 446 |
+
"prompt": "A first-person POV walking through the ornate gold-tiled spires and mosaic-covered walls of Bangkok's Grand Palace complex.",
|
| 447 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"id": "gangnam_boulevard",
|
| 451 |
+
"place": "Gangnam Boulevard",
|
| 452 |
+
"city": "Seoul",
|
| 453 |
+
"country": "South Korea",
|
| 454 |
+
"continent": "Asia",
|
| 455 |
+
"mode": "driving",
|
| 456 |
+
"prompt": "A dashcam POV driving through a wide multi-lane Gangnam boulevard lined with glass skyscrapers, neon signage, and dense traffic.",
|
| 457 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"id": "fushimi_inari_torii_path",
|
| 461 |
+
"place": "Fushimi Inari Torii Path",
|
| 462 |
+
"city": "Kyoto",
|
| 463 |
+
"country": "Japan",
|
| 464 |
+
"continent": "Asia",
|
| 465 |
+
"mode": "walking",
|
| 466 |
+
"prompt": "A first-person POV walking through thousands of vermilion torii gates forming a tunnel-like path winding up the forested slope of Mount Inari.",
|
| 467 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"id": "petra_s_siq_canyon",
|
| 471 |
+
"place": "Petra's Siq Canyon",
|
| 472 |
+
"city": "Petra",
|
| 473 |
+
"country": "Jordan",
|
| 474 |
+
"continent": "Asia",
|
| 475 |
+
"mode": "walking",
|
| 476 |
+
"prompt": "A first-person POV walking through a narrow sandstone canyon with towering pink-orange rock walls leading to the carved facade of the Petra Treasury.",
|
| 477 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"id": "nathan_road",
|
| 481 |
+
"place": "Nathan Road",
|
| 482 |
+
"city": "Hong Kong",
|
| 483 |
+
"country": "China",
|
| 484 |
+
"continent": "Asia",
|
| 485 |
+
"mode": "driving",
|
| 486 |
+
"prompt": "A dashcam POV driving through the dense neon signage and double-decker buses of Hong Kong's Nathan Road beneath a wall of high-rise apartment towers.",
|
| 487 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"id": "angkor_wat_causeway",
|
| 491 |
+
"place": "Angkor Wat Causeway",
|
| 492 |
+
"city": "Siem Reap",
|
| 493 |
+
"country": "Cambodia",
|
| 494 |
+
"continent": "Asia",
|
| 495 |
+
"mode": "walking",
|
| 496 |
+
"prompt": "A first-person POV walking through the long stone causeway leading to Angkor Wat's five lotus-bud towers reflected in the surrounding moat.",
|
| 497 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"id": "jerusalem_s_old_city_walls",
|
| 501 |
+
"place": "Jerusalem's Old City Walls",
|
| 502 |
+
"city": "Jerusalem",
|
| 503 |
+
"country": "Israel",
|
| 504 |
+
"continent": "Asia",
|
| 505 |
+
"mode": "walking",
|
| 506 |
+
"prompt": "A first-person POV walking through the golden Dome of the Rock and ancient limestone walls of Jerusalem's Old City, narrow stone alleys threading between them.",
|
| 507 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"id": "borobudur_temple_terraces",
|
| 511 |
+
"place": "Borobudur Temple Terraces",
|
| 512 |
+
"city": "Magelang",
|
| 513 |
+
"country": "Indonesia",
|
| 514 |
+
"continent": "Asia",
|
| 515 |
+
"mode": "walking",
|
| 516 |
+
"prompt": "A first-person POV walking through the tiered stone stupas and carved relief terraces of Borobudur temple rising against a backdrop of volcanic mountains.",
|
| 517 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"id": "petronas_towers_plaza",
|
| 521 |
+
"place": "Petronas Towers Plaza",
|
| 522 |
+
"city": "Kuala Lumpur",
|
| 523 |
+
"country": "Malaysia",
|
| 524 |
+
"continent": "Asia",
|
| 525 |
+
"mode": "driving",
|
| 526 |
+
"prompt": "A dashcam POV driving through the twin stainless-steel spires of the Petronas Towers linked by a skybridge, rising above KLCC park and the city skyline.",
|
| 527 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"id": "jeepney_streets_of_manila",
|
| 531 |
+
"place": "Jeepney Streets of Manila",
|
| 532 |
+
"city": "Manila",
|
| 533 |
+
"country": "Philippines",
|
| 534 |
+
"continent": "Asia",
|
| 535 |
+
"mode": "driving",
|
| 536 |
+
"prompt": "A dashcam POV driving through brightly decorated jeepneys weaving through Manila's crowded streets past colonial-era buildings and vendor stalls.",
|
| 537 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"id": "pudong_skyline___the_bund",
|
| 541 |
+
"place": "Pudong Skyline & the Bund",
|
| 542 |
+
"city": "Shanghai",
|
| 543 |
+
"country": "China",
|
| 544 |
+
"continent": "Asia",
|
| 545 |
+
"mode": "walking",
|
| 546 |
+
"prompt": "A first-person POV walking through the futuristic Oriental Pearl Tower and glass skyscrapers of Pudong seen across the Huangpu River from the Bund's colonial waterfront.",
|
| 547 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"id": "registan_square",
|
| 551 |
+
"place": "Registan Square",
|
| 552 |
+
"city": "Samarkand",
|
| 553 |
+
"country": "Uzbekistan",
|
| 554 |
+
"continent": "Asia",
|
| 555 |
+
"mode": "walking",
|
| 556 |
+
"prompt": "A first-person POV walking through the three turquoise-tiled madrasas with towering arched portals framing Samarkand's Registan square.",
|
| 557 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"id": "karakoram_highway",
|
| 561 |
+
"place": "Karakoram Highway",
|
| 562 |
+
"city": "Hunza Valley",
|
| 563 |
+
"country": "Pakistan",
|
| 564 |
+
"continent": "Asia",
|
| 565 |
+
"mode": "driving",
|
| 566 |
+
"prompt": "A dashcam POV driving through a high mountain highway winding through the Hunza Valley with terraced fields and jagged snow-capped Karakoram peaks.",
|
| 567 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"id": "kathmandu_durbar_square",
|
| 571 |
+
"place": "Kathmandu Durbar Square",
|
| 572 |
+
"city": "Kathmandu",
|
| 573 |
+
"country": "Nepal",
|
| 574 |
+
"continent": "Asia",
|
| 575 |
+
"mode": "walking",
|
| 576 |
+
"prompt": "A first-person POV walking through the pagoda-roofed temples and carved wooden palace facades of Kathmandu's Durbar Square, Himalayan peaks faint on the horizon.",
|
| 577 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"id": "sigiriya_rock_fortress",
|
| 581 |
+
"place": "Sigiriya Rock Fortress",
|
| 582 |
+
"city": "Sigiriya",
|
| 583 |
+
"country": "Sri Lanka",
|
| 584 |
+
"continent": "Asia",
|
| 585 |
+
"mode": "walking",
|
| 586 |
+
"prompt": "A first-person POV walking through the sheer red rock column of Sigiriya rising out of flat jungle, ancient frescoes and a stone stairway spiraling up its face.",
|
| 587 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"id": "paro_taktsang__tiger_s_nest",
|
| 591 |
+
"place": "Paro Taktsang (Tiger's Nest)",
|
| 592 |
+
"city": "Paro",
|
| 593 |
+
"country": "Bhutan",
|
| 594 |
+
"continent": "Asia",
|
| 595 |
+
"mode": "walking",
|
| 596 |
+
"prompt": "A first-person POV walking through the white monastery of Paro Taktsang clinging to a sheer cliff face high above a pine-forested Himalayan gorge.",
|
| 597 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"id": "bagan_temple_plain",
|
| 601 |
+
"place": "Bagan Temple Plain",
|
| 602 |
+
"city": "Bagan",
|
| 603 |
+
"country": "Myanmar",
|
| 604 |
+
"continent": "Asia",
|
| 605 |
+
"mode": "walking",
|
| 606 |
+
"prompt": "A first-person POV walking through thousands of ancient brick temples and stupas scattered across the flat Bagan plain in the early morning haze.",
|
| 607 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"id": "luang_prabang_night_market_street",
|
| 611 |
+
"place": "Luang Prabang Night Market Street",
|
| 612 |
+
"city": "Luang Prabang",
|
| 613 |
+
"country": "Laos",
|
| 614 |
+
"continent": "Asia",
|
| 615 |
+
"mode": "walking",
|
| 616 |
+
"prompt": "A first-person POV walking through saffron-robed monk statues and gilded temple roofs along Luang Prabang's lantern-lit street between the Mekong and Nam Khan rivers.",
|
| 617 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"id": "taipei_101___xinyi_district",
|
| 621 |
+
"place": "Taipei 101 & Xinyi District",
|
| 622 |
+
"city": "Taipei",
|
| 623 |
+
"country": "Taiwan",
|
| 624 |
+
"continent": "Asia",
|
| 625 |
+
"mode": "driving",
|
| 626 |
+
"prompt": "A dashcam POV driving through the tiered, bamboo-inspired Taipei 101 skyscraper rising above the glass towers and dense traffic of the Xinyi district.",
|
| 627 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"id": "gobi_desert_steppe_road",
|
| 631 |
+
"place": "Gobi Desert Steppe Road",
|
| 632 |
+
"city": "Gobi Desert",
|
| 633 |
+
"country": "Mongolia",
|
| 634 |
+
"continent": "Asia",
|
| 635 |
+
"mode": "driving",
|
| 636 |
+
"prompt": "A dashcam POV driving through a faint dirt track crossing the vast, empty Gobi Desert steppe, distant rocky outcrops breaking an otherwise flat golden horizon.",
|
| 637 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"id": "charyn_canyon_road",
|
| 641 |
+
"place": "Charyn Canyon Road",
|
| 642 |
+
"city": "Almaty Region",
|
| 643 |
+
"country": "Kazakhstan",
|
| 644 |
+
"continent": "Asia",
|
| 645 |
+
"mode": "driving",
|
| 646 |
+
"prompt": "A dashcam POV driving through a dirt road winding between the red sandstone spires of Charyn Canyon's 'Valley of Castles' formations.",
|
| 647 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"id": "doha_corniche",
|
| 651 |
+
"place": "Doha Corniche",
|
| 652 |
+
"city": "Doha",
|
| 653 |
+
"country": "Qatar",
|
| 654 |
+
"continent": "Asia",
|
| 655 |
+
"mode": "walking",
|
| 656 |
+
"prompt": "A first-person POV walking through a curving waterfront promenade along Doha's Corniche with the futuristic skyline of West Bay towers rising across the bay.",
|
| 657 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"id": "naqsh_e_jahan_square",
|
| 661 |
+
"place": "Naqsh-e Jahan Square",
|
| 662 |
+
"city": "Isfahan",
|
| 663 |
+
"country": "Iran",
|
| 664 |
+
"continent": "Asia",
|
| 665 |
+
"mode": "walking",
|
| 666 |
+
"prompt": "A first-person POV walking through the vast tiled expanse of Naqsh-e Jahan Square framed by turquoise-domed mosques and a grand arched bazaar entrance.",
|
| 667 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"id": "baku_old_city___flame_towers",
|
| 671 |
+
"place": "Baku Old City & Flame Towers",
|
| 672 |
+
"city": "Baku",
|
| 673 |
+
"country": "Azerbaijan",
|
| 674 |
+
"continent": "Asia",
|
| 675 |
+
"mode": "walking",
|
| 676 |
+
"prompt": "A first-person POV walking through the medieval stone walls of Baku's Old City with the curved glass Flame Towers glowing above the modern skyline behind them.",
|
| 677 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"id": "times_square",
|
| 681 |
+
"place": "Times Square",
|
| 682 |
+
"city": "New York City",
|
| 683 |
+
"country": "United States",
|
| 684 |
+
"continent": "North America",
|
| 685 |
+
"mode": "walking",
|
| 686 |
+
"prompt": "A first-person POV walking through the towering illuminated billboards and dense crowds of Times Square surrounded by New York's yellow taxis and skyscrapers.",
|
| 687 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"id": "golden_gate_bridge",
|
| 691 |
+
"place": "Golden Gate Bridge",
|
| 692 |
+
"city": "San Francisco",
|
| 693 |
+
"country": "United States",
|
| 694 |
+
"continent": "North America",
|
| 695 |
+
"mode": "driving",
|
| 696 |
+
"prompt": "A dashcam POV driving through the Golden Gate Bridge's rust-orange suspension towers spanning the bay with San Francisco's hills and fog in the background.",
|
| 697 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"id": "grand_canyon_south_rim_road",
|
| 701 |
+
"place": "Grand Canyon South Rim Road",
|
| 702 |
+
"city": "Grand Canyon",
|
| 703 |
+
"country": "United States",
|
| 704 |
+
"continent": "North America",
|
| 705 |
+
"mode": "driving",
|
| 706 |
+
"prompt": "A dashcam POV driving through a winding road along the Grand Canyon's South Rim with layered red-orange rock walls dropping away into the vast canyon.",
|
| 707 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"id": "hollywood_boulevard",
|
| 711 |
+
"place": "Hollywood Boulevard",
|
| 712 |
+
"city": "Los Angeles",
|
| 713 |
+
"country": "United States",
|
| 714 |
+
"continent": "North America",
|
| 715 |
+
"mode": "walking",
|
| 716 |
+
"prompt": "A first-person POV walking through Hollywood Boulevard's Walk of Fame stars embedded in the sidewalk beneath palm trees and neon theater marquees.",
|
| 717 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"id": "cn_tower___downtown_toronto",
|
| 721 |
+
"place": "CN Tower & Downtown Toronto",
|
| 722 |
+
"city": "Toronto",
|
| 723 |
+
"country": "Canada",
|
| 724 |
+
"continent": "North America",
|
| 725 |
+
"mode": "driving",
|
| 726 |
+
"prompt": "A dashcam POV driving through the slender CN Tower rising above Toronto's glass downtown skyline near the shore of Lake Ontario.",
|
| 727 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"id": "zocalo___metropolitan_cathedral",
|
| 731 |
+
"place": "Zocalo & Metropolitan Cathedral",
|
| 732 |
+
"city": "Mexico City",
|
| 733 |
+
"country": "Mexico",
|
| 734 |
+
"continent": "North America",
|
| 735 |
+
"mode": "walking",
|
| 736 |
+
"prompt": "A first-person POV walking through the vast paved Zocalo plaza with the twin bell towers of the Metropolitan Cathedral and the Mexican flag at its center.",
|
| 737 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"id": "bow_valley_parkway",
|
| 741 |
+
"place": "Bow Valley Parkway",
|
| 742 |
+
"city": "Banff",
|
| 743 |
+
"country": "Canada",
|
| 744 |
+
"continent": "North America",
|
| 745 |
+
"mode": "driving",
|
| 746 |
+
"prompt": "A dashcam POV driving through a two-lane mountain road winding through pine forest with snow-capped Canadian Rockies peaks rising on either side.",
|
| 747 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"id": "french_quarter_streets",
|
| 751 |
+
"place": "French Quarter Streets",
|
| 752 |
+
"city": "New Orleans",
|
| 753 |
+
"country": "United States",
|
| 754 |
+
"continent": "North America",
|
| 755 |
+
"mode": "walking",
|
| 756 |
+
"prompt": "A first-person POV walking through wrought-iron balconies and pastel Creole townhouses lining a narrow French Quarter street with jazz music drifting from open doorways.",
|
| 757 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"id": "route_66_desert_highway",
|
| 761 |
+
"place": "Route 66 Desert Highway",
|
| 762 |
+
"city": "Arizona",
|
| 763 |
+
"country": "United States",
|
| 764 |
+
"continent": "North America",
|
| 765 |
+
"mode": "driving",
|
| 766 |
+
"prompt": "A dashcam POV driving through a straight two-lane Route 66 highway crossing a red-rock desert landscape with distant mesas on the horizon.",
|
| 767 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"id": "chichen_itza_pyramid_grounds",
|
| 771 |
+
"place": "Chichen Itza Pyramid Grounds",
|
| 772 |
+
"city": "Yucatan",
|
| 773 |
+
"country": "Mexico",
|
| 774 |
+
"continent": "North America",
|
| 775 |
+
"mode": "walking",
|
| 776 |
+
"prompt": "A first-person POV walking through the stepped stone pyramid of Kukulkan rising from the grassy grounds of Chichen Itza, jungle ringing the site.",
|
| 777 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"id": "millennium_park___the_bean",
|
| 781 |
+
"place": "Millennium Park & the Bean",
|
| 782 |
+
"city": "Chicago",
|
| 783 |
+
"country": "United States",
|
| 784 |
+
"continent": "North America",
|
| 785 |
+
"mode": "walking",
|
| 786 |
+
"prompt": "A first-person POV walking through the reflective silver curves of Cloud Gate ('the Bean') in Millennium Park with Chicago's skyscraper skyline behind it.",
|
| 787 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"id": "icefields_parkway",
|
| 791 |
+
"place": "Icefields Parkway",
|
| 792 |
+
"city": "Jasper",
|
| 793 |
+
"country": "Canada",
|
| 794 |
+
"continent": "North America",
|
| 795 |
+
"mode": "driving",
|
| 796 |
+
"prompt": "A dashcam POV driving through a remote highway threading between glaciers and turquoise lakes along the Icefields Parkway in the Canadian Rockies.",
|
| 797 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"id": "havana_s_malecon",
|
| 801 |
+
"place": "Havana's Malecon",
|
| 802 |
+
"city": "Havana",
|
| 803 |
+
"country": "Cuba",
|
| 804 |
+
"continent": "North America",
|
| 805 |
+
"mode": "driving",
|
| 806 |
+
"prompt": "A dashcam POV driving through vintage pastel-colored American cars parked along Havana's seaside Malecon promenade with crumbling colonial facades behind.",
|
| 807 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"id": "antigua_s_cobblestone_streets",
|
| 811 |
+
"place": "Antigua's Cobblestone Streets",
|
| 812 |
+
"city": "Antigua",
|
| 813 |
+
"country": "Guatemala",
|
| 814 |
+
"continent": "North America",
|
| 815 |
+
"mode": "walking",
|
| 816 |
+
"prompt": "A first-person POV walking through colorful colonial facades and cobblestone streets in Antigua with the Volcan de Agua looming in the background.",
|
| 817 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"id": "old_san_juan_streets",
|
| 821 |
+
"place": "Old San Juan Streets",
|
| 822 |
+
"city": "San Juan",
|
| 823 |
+
"country": "Puerto Rico",
|
| 824 |
+
"continent": "North America",
|
| 825 |
+
"mode": "walking",
|
| 826 |
+
"prompt": "A first-person POV walking through blue cobblestone streets lined with brightly painted colonial buildings inside the fortified walls of Old San Juan.",
|
| 827 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"id": "las_vegas_strip",
|
| 831 |
+
"place": "Las Vegas Strip",
|
| 832 |
+
"city": "Las Vegas",
|
| 833 |
+
"country": "United States",
|
| 834 |
+
"continent": "North America",
|
| 835 |
+
"mode": "driving",
|
| 836 |
+
"prompt": "A dashcam POV driving through the neon-lit casino resorts and towering signage lining the Las Vegas Strip against the night desert sky.",
|
| 837 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"id": "niagara_falls_overlook",
|
| 841 |
+
"place": "Niagara Falls Overlook",
|
| 842 |
+
"city": "Niagara Falls",
|
| 843 |
+
"country": "Canada",
|
| 844 |
+
"continent": "North America",
|
| 845 |
+
"mode": "walking",
|
| 846 |
+
"prompt": "A first-person POV walking through the massive curved curtain of Niagara Falls's Horseshoe Falls with mist rising and a viewing promenade along the gorge edge.",
|
| 847 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"id": "yellowstone_grand_loop_road",
|
| 851 |
+
"place": "Yellowstone Grand Loop Road",
|
| 852 |
+
"city": "Yellowstone",
|
| 853 |
+
"country": "United States",
|
| 854 |
+
"continent": "North America",
|
| 855 |
+
"mode": "driving",
|
| 856 |
+
"prompt": "A dashcam POV driving through a two-lane park road passing steaming geyser basins and bison herds against a backdrop of pine forest and distant mountains.",
|
| 857 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"id": "ocean_drive___south_beach",
|
| 861 |
+
"place": "Ocean Drive & South Beach",
|
| 862 |
+
"city": "Miami",
|
| 863 |
+
"country": "United States",
|
| 864 |
+
"continent": "North America",
|
| 865 |
+
"mode": "driving",
|
| 866 |
+
"prompt": "A dashcam POV driving through pastel Art Deco hotel facades and palm trees lining Miami's Ocean Drive with the beach and turquoise water beyond.",
|
| 867 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"id": "stanley_park_seawall",
|
| 871 |
+
"place": "Stanley Park Seawall",
|
| 872 |
+
"city": "Vancouver",
|
| 873 |
+
"country": "Canada",
|
| 874 |
+
"continent": "North America",
|
| 875 |
+
"mode": "walking",
|
| 876 |
+
"prompt": "A first-person POV walking through a waterfront path along Stanley Park's seawall with tall evergreen forest on one side and Vancouver's glass skyline across the harbor.",
|
| 877 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"id": "arenal_volcano_road",
|
| 881 |
+
"place": "Arenal Volcano Road",
|
| 882 |
+
"city": "La Fortuna",
|
| 883 |
+
"country": "Costa Rica",
|
| 884 |
+
"continent": "North America",
|
| 885 |
+
"mode": "driving",
|
| 886 |
+
"prompt": "A dashcam POV driving through a jungle-lined road through Costa Rican rainforest with the near-perfect cone of Arenal Volcano rising ahead.",
|
| 887 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"id": "casco_viejo_streets",
|
| 891 |
+
"place": "Casco Viejo Streets",
|
| 892 |
+
"city": "Panama City",
|
| 893 |
+
"country": "Panama",
|
| 894 |
+
"continent": "North America",
|
| 895 |
+
"mode": "walking",
|
| 896 |
+
"prompt": "A first-person POV walking through crumbling colonial facades and wrought-iron balconies in Panama City's Casco Viejo, with the modern skyline visible across the bay.",
|
| 897 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"id": "dunn_s_river_falls",
|
| 901 |
+
"place": "Dunn's River Falls",
|
| 902 |
+
"city": "Ocho Rios",
|
| 903 |
+
"country": "Jamaica",
|
| 904 |
+
"continent": "North America",
|
| 905 |
+
"mode": "walking",
|
| 906 |
+
"prompt": "A first-person POV walking through terraced limestone cascades of Dunn's River Falls tumbling through lush jungle down to the Caribbean shoreline.",
|
| 907 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"id": "zona_colonial",
|
| 911 |
+
"place": "Zona Colonial",
|
| 912 |
+
"city": "Santo Domingo",
|
| 913 |
+
"country": "Dominican Republic",
|
| 914 |
+
"continent": "North America",
|
| 915 |
+
"mode": "walking",
|
| 916 |
+
"prompt": "A first-person POV walking through the oldest cobblestone streets in the Americas lined with colonial stone cathedrals and balconied townhouses in Santo Domingo's Zona Colonial.",
|
| 917 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"id": "quebec_city_old_town",
|
| 921 |
+
"place": "Quebec City Old Town",
|
| 922 |
+
"city": "Quebec City",
|
| 923 |
+
"country": "Canada",
|
| 924 |
+
"continent": "North America",
|
| 925 |
+
"mode": "walking",
|
| 926 |
+
"prompt": "A first-person POV walking through the steep cobbled streets and turreted Chateau Frontenac of Quebec City's walled old town overlooking the St. Lawrence River.",
|
| 927 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"id": "christ_the_redeemer___rio_skyline",
|
| 931 |
+
"place": "Christ the Redeemer & Rio Skyline",
|
| 932 |
+
"city": "Rio de Janeiro",
|
| 933 |
+
"country": "Brazil",
|
| 934 |
+
"continent": "South America",
|
| 935 |
+
"mode": "driving",
|
| 936 |
+
"prompt": "A dashcam POV driving through the Christ the Redeemer statue atop Corcovado mountain overlooking Rio de Janeiro's beaches, favelas, and Sugarloaf Mountain.",
|
| 937 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"id": "machu_picchu_terraces",
|
| 941 |
+
"place": "Machu Picchu Terraces",
|
| 942 |
+
"city": "Machu Picchu",
|
| 943 |
+
"country": "Peru",
|
| 944 |
+
"continent": "South America",
|
| 945 |
+
"mode": "walking",
|
| 946 |
+
"prompt": "A first-person POV walking through the stone terraces and ruins of Machu Picchu perched on a green mountain ridge with steep Andean peaks and mist in the background.",
|
| 947 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"id": "caminito_street",
|
| 951 |
+
"place": "Caminito Street",
|
| 952 |
+
"city": "Buenos Aires",
|
| 953 |
+
"country": "Argentina",
|
| 954 |
+
"continent": "South America",
|
| 955 |
+
"mode": "walking",
|
| 956 |
+
"prompt": "A first-person POV walking through the brightly painted corrugated-metal houses lining Caminito street in La Boca, with tango dancers and market stalls.",
|
| 957 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"id": "salar_de_uyuni_salt_flat_road",
|
| 961 |
+
"place": "Salar de Uyuni Salt Flat Road",
|
| 962 |
+
"city": "Uyuni",
|
| 963 |
+
"country": "Bolivia",
|
| 964 |
+
"continent": "South America",
|
| 965 |
+
"mode": "driving",
|
| 966 |
+
"prompt": "A dashcam POV driving through a dirt track crossing the blinding white expanse of the Uyuni salt flat stretching to the horizon under a huge open sky.",
|
| 967 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"id": "cartagena_s_walled_old_town",
|
| 971 |
+
"place": "Cartagena's Walled Old Town",
|
| 972 |
+
"city": "Cartagena",
|
| 973 |
+
"country": "Colombia",
|
| 974 |
+
"continent": "South America",
|
| 975 |
+
"mode": "walking",
|
| 976 |
+
"prompt": "A first-person POV walking through brightly colored colonial balconies and bougainvillea draped over the narrow streets inside Cartagena's old walled city.",
|
| 977 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"id": "torres_del_paine_road",
|
| 981 |
+
"place": "Torres del Paine Road",
|
| 982 |
+
"city": "Patagonia",
|
| 983 |
+
"country": "Chile",
|
| 984 |
+
"continent": "South America",
|
| 985 |
+
"mode": "driving",
|
| 986 |
+
"prompt": "A dashcam POV driving through a gravel road crossing windswept Patagonian steppe with the granite spires of Torres del Paine rising ahead.",
|
| 987 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"id": "iguazu_falls_walkways",
|
| 991 |
+
"place": "Iguazu Falls Walkways",
|
| 992 |
+
"city": "Iguazu",
|
| 993 |
+
"country": "Argentina",
|
| 994 |
+
"continent": "South America",
|
| 995 |
+
"mode": "walking",
|
| 996 |
+
"prompt": "A first-person POV walking through metal walkways threading along the edge of the thundering, mist-shrouded cascades of Iguazu Falls through the rainforest.",
|
| 997 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"id": "quito_s_old_town_plazas",
|
| 1001 |
+
"place": "Quito's Old Town Plazas",
|
| 1002 |
+
"city": "Quito",
|
| 1003 |
+
"country": "Ecuador",
|
| 1004 |
+
"continent": "South America",
|
| 1005 |
+
"mode": "walking",
|
| 1006 |
+
"prompt": "A first-person POV walking through the whitewashed colonial churches and cobblestone plazas of Quito's old town set against Andean volcanoes.",
|
| 1007 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"id": "angel_falls_overlook_trail",
|
| 1011 |
+
"place": "Angel Falls Overlook Trail",
|
| 1012 |
+
"city": "Canaima",
|
| 1013 |
+
"country": "Venezuela",
|
| 1014 |
+
"continent": "South America",
|
| 1015 |
+
"mode": "walking",
|
| 1016 |
+
"prompt": "A first-person POV walking through a jungle trail leading to a viewpoint of Angel Falls, the world's tallest waterfall, plunging off a sheer tepui cliff into the rainforest.",
|
| 1017 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"id": "colonia_del_sacramento_streets",
|
| 1021 |
+
"place": "Colonia del Sacramento Streets",
|
| 1022 |
+
"city": "Colonia del Sacramento",
|
| 1023 |
+
"country": "Uruguay",
|
| 1024 |
+
"continent": "South America",
|
| 1025 |
+
"mode": "walking",
|
| 1026 |
+
"prompt": "A first-person POV walking through cobblestone streets lined with faded colonial Portuguese buildings and a lighthouse in Colonia del Sacramento's old quarter.",
|
| 1027 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"id": "jesuit_missions_of_trinidad",
|
| 1031 |
+
"place": "Jesuit Missions of Trinidad",
|
| 1032 |
+
"city": "Trinidad",
|
| 1033 |
+
"country": "Paraguay",
|
| 1034 |
+
"continent": "South America",
|
| 1035 |
+
"mode": "walking",
|
| 1036 |
+
"prompt": "A first-person POV walking through the red sandstone ruins of the Jesuit mission of Trinidad, carved arches and columns standing amid open grassland.",
|
| 1037 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"id": "amazon_river_at_manaus",
|
| 1041 |
+
"place": "Amazon River at Manaus",
|
| 1042 |
+
"city": "Manaus",
|
| 1043 |
+
"country": "Brazil",
|
| 1044 |
+
"continent": "South America",
|
| 1045 |
+
"mode": "driving",
|
| 1046 |
+
"prompt": "A dashcam POV driving through a wide brown stretch of the Amazon River with dense rainforest canopy along the banks and wooden riverboats passing by.",
|
| 1047 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"id": "rainbow_mountain_trail",
|
| 1051 |
+
"place": "Rainbow Mountain Trail",
|
| 1052 |
+
"city": "Vinicunca",
|
| 1053 |
+
"country": "Peru",
|
| 1054 |
+
"continent": "South America",
|
| 1055 |
+
"mode": "walking",
|
| 1056 |
+
"prompt": "A first-person POV walking through a high-altitude trail climbing toward Vinicunca's striped mineral slopes in bands of red, gold, and turquoise.",
|
| 1057 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"id": "rapa_nui_moai_coastline",
|
| 1061 |
+
"place": "Rapa Nui Moai Coastline",
|
| 1062 |
+
"city": "Easter Island",
|
| 1063 |
+
"country": "Chile",
|
| 1064 |
+
"continent": "South America",
|
| 1065 |
+
"mode": "walking",
|
| 1066 |
+
"prompt": "A first-person POV walking through a row of massive stone Moai statues standing along the grassy volcanic coastline of Easter Island, the Pacific Ocean behind them.",
|
| 1067 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"id": "cocora_valley_wax_palms",
|
| 1071 |
+
"place": "Cocora Valley Wax Palms",
|
| 1072 |
+
"city": "Salento",
|
| 1073 |
+
"country": "Colombia",
|
| 1074 |
+
"continent": "South America",
|
| 1075 |
+
"mode": "walking",
|
| 1076 |
+
"prompt": "A first-person POV walking through towering, impossibly slender wax palm trees rising out of the misty green Cocora Valley with Andean ridgelines behind.",
|
| 1077 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"id": "otavalo_market_streets",
|
| 1081 |
+
"place": "Otavalo Market Streets",
|
| 1082 |
+
"city": "Otavalo",
|
| 1083 |
+
"country": "Ecuador",
|
| 1084 |
+
"continent": "South America",
|
| 1085 |
+
"mode": "walking",
|
| 1086 |
+
"prompt": "A first-person POV walking through rows of colorful woven textiles and market stalls filling the streets of Otavalo beneath a backdrop of Andean volcanoes.",
|
| 1087 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"id": "pyramids_of_giza",
|
| 1091 |
+
"place": "Pyramids of Giza",
|
| 1092 |
+
"city": "Giza",
|
| 1093 |
+
"country": "Egypt",
|
| 1094 |
+
"continent": "Africa",
|
| 1095 |
+
"mode": "walking",
|
| 1096 |
+
"prompt": "A first-person POV walking through the Great Pyramids of Giza and the Sphinx rising from the desert sand at the edge of the city.",
|
| 1097 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"id": "table_mountain_road",
|
| 1101 |
+
"place": "Table Mountain Road",
|
| 1102 |
+
"city": "Cape Town",
|
| 1103 |
+
"country": "South Africa",
|
| 1104 |
+
"continent": "Africa",
|
| 1105 |
+
"mode": "driving",
|
| 1106 |
+
"prompt": "A dashcam POV driving through a coastal road curving along the base of Table Mountain's flat-topped cliff face with the Atlantic Ocean beside it.",
|
| 1107 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"id": "marrakech_medina_souks",
|
| 1111 |
+
"place": "Marrakech Medina Souks",
|
| 1112 |
+
"city": "Marrakech",
|
| 1113 |
+
"country": "Morocco",
|
| 1114 |
+
"continent": "Africa",
|
| 1115 |
+
"mode": "walking",
|
| 1116 |
+
"prompt": "A first-person POV walking through the narrow, arch-covered alleys of the Marrakech medina lined with dyed textiles, lanterns, and spice stalls.",
|
| 1117 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"id": "serengeti_safari_track",
|
| 1121 |
+
"place": "Serengeti Safari Track",
|
| 1122 |
+
"city": "Serengeti",
|
| 1123 |
+
"country": "Tanzania",
|
| 1124 |
+
"continent": "Africa",
|
| 1125 |
+
"mode": "driving",
|
| 1126 |
+
"prompt": "A dashcam POV driving through a dirt safari track crossing the golden grassland of the Serengeti with acacia trees and distant herds on the horizon.",
|
| 1127 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"id": "victoria_falls_rainforest_path",
|
| 1131 |
+
"place": "Victoria Falls Rainforest Path",
|
| 1132 |
+
"city": "Livingstone",
|
| 1133 |
+
"country": "Zambia",
|
| 1134 |
+
"continent": "Africa",
|
| 1135 |
+
"mode": "walking",
|
| 1136 |
+
"prompt": "A first-person POV walking through a mist-soaked rainforest trail facing the massive curtain of Victoria Falls plunging into the gorge below.",
|
| 1137 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"id": "sahara_dunes_track",
|
| 1141 |
+
"place": "Sahara Dunes Track",
|
| 1142 |
+
"city": "Merzouga",
|
| 1143 |
+
"country": "Morocco",
|
| 1144 |
+
"continent": "Africa",
|
| 1145 |
+
"mode": "driving",
|
| 1146 |
+
"prompt": "A dashcam POV driving through a faint tire track winding between towering orange sand dunes of the Sahara desert, camel caravans in the distance.",
|
| 1147 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"id": "lalibela_s_rock_hewn_churches",
|
| 1151 |
+
"place": "Lalibela's Rock-Hewn Churches",
|
| 1152 |
+
"city": "Lalibela",
|
| 1153 |
+
"country": "Ethiopia",
|
| 1154 |
+
"continent": "Africa",
|
| 1155 |
+
"mode": "walking",
|
| 1156 |
+
"prompt": "A first-person POV walking through the monolithic rock-hewn churches of Lalibela carved directly into the reddish volcanic ground, narrow trenches connecting them.",
|
| 1157 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"id": "stone_town_alleys",
|
| 1161 |
+
"place": "Stone Town Alleys",
|
| 1162 |
+
"city": "Zanzibar City",
|
| 1163 |
+
"country": "Tanzania",
|
| 1164 |
+
"continent": "Africa",
|
| 1165 |
+
"mode": "walking",
|
| 1166 |
+
"prompt": "A first-person POV walking through the narrow winding alleys of Stone Town lined with carved wooden doors and coral-stone buildings.",
|
| 1167 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"id": "garden_route_coastal_highway",
|
| 1171 |
+
"place": "Garden Route Coastal Highway",
|
| 1172 |
+
"city": "Western Cape",
|
| 1173 |
+
"country": "South Africa",
|
| 1174 |
+
"continent": "Africa",
|
| 1175 |
+
"mode": "driving",
|
| 1176 |
+
"prompt": "A dashcam POV driving through a cliffside coastal highway along South Africa's Garden Route with dense green forest on one side and ocean cliffs on the other.",
|
| 1177 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"id": "sossusvlei_dune_road",
|
| 1181 |
+
"place": "Sossusvlei Dune Road",
|
| 1182 |
+
"city": "Sossusvlei",
|
| 1183 |
+
"country": "Namibia",
|
| 1184 |
+
"continent": "Africa",
|
| 1185 |
+
"mode": "driving",
|
| 1186 |
+
"prompt": "A dashcam POV driving through a red dirt road crossing the Namib desert toward the towering orange sand dunes of Sossusvlei and the white clay pan of Deadvlei.",
|
| 1187 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"id": "okavango_delta_waterways",
|
| 1191 |
+
"place": "Okavango Delta Waterways",
|
| 1192 |
+
"city": "Okavango Delta",
|
| 1193 |
+
"country": "Botswana",
|
| 1194 |
+
"continent": "Africa",
|
| 1195 |
+
"mode": "driving",
|
| 1196 |
+
"prompt": "A dashcam POV driving through a maze of reed-lined channels through the flooded Okavango Delta, papyrus grass and distant elephants along the waterway.",
|
| 1197 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"id": "maasai_mara_savanna_track",
|
| 1201 |
+
"place": "Maasai Mara Savanna Track",
|
| 1202 |
+
"city": "Maasai Mara",
|
| 1203 |
+
"country": "Kenya",
|
| 1204 |
+
"continent": "Africa",
|
| 1205 |
+
"mode": "driving",
|
| 1206 |
+
"prompt": "A dashcam POV driving through a dirt safari track crossing the open Maasai Mara savanna, acacia trees dotting the grassland and wildebeest herds in the distance.",
|
| 1207 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"id": "volcanoes_national_park_trail",
|
| 1211 |
+
"place": "Volcanoes National Park Trail",
|
| 1212 |
+
"city": "Musanze",
|
| 1213 |
+
"country": "Rwanda",
|
| 1214 |
+
"continent": "Africa",
|
| 1215 |
+
"mode": "walking",
|
| 1216 |
+
"prompt": "A first-person POV walking through a misty forest trail climbing the slopes of Rwanda's Virunga volcanoes through dense bamboo and rainforest.",
|
| 1217 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"id": "avenue_of_the_baobabs",
|
| 1221 |
+
"place": "Avenue of the Baobabs",
|
| 1222 |
+
"city": "Morondava",
|
| 1223 |
+
"country": "Madagascar",
|
| 1224 |
+
"continent": "Africa",
|
| 1225 |
+
"mode": "driving",
|
| 1226 |
+
"prompt": "A dashcam POV driving through a dirt road lined with towering, bottle-shaped baobab trees silhouetted against the sky in western Madagascar.",
|
| 1227 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"id": "sidi_bou_said_streets",
|
| 1231 |
+
"place": "Sidi Bou Said Streets",
|
| 1232 |
+
"city": "Sidi Bou Said",
|
| 1233 |
+
"country": "Tunisia",
|
| 1234 |
+
"continent": "Africa",
|
| 1235 |
+
"mode": "walking",
|
| 1236 |
+
"prompt": "A first-person POV walking through whitewashed houses with bright blue doors and shutters lining the steep cobbled streets of Sidi Bou Said above the Mediterranean.",
|
| 1237 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"id": "goree_island_streets",
|
| 1241 |
+
"place": "Goree Island Streets",
|
| 1242 |
+
"city": "Goree Island",
|
| 1243 |
+
"country": "Senegal",
|
| 1244 |
+
"continent": "Africa",
|
| 1245 |
+
"mode": "walking",
|
| 1246 |
+
"prompt": "A first-person POV walking through narrow sandy lanes between weathered ochre and pink colonial buildings on Goree Island, the Atlantic Ocean visible at the street's end.",
|
| 1247 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"id": "cape_coast_castle_grounds",
|
| 1251 |
+
"place": "Cape Coast Castle Grounds",
|
| 1252 |
+
"city": "Cape Coast",
|
| 1253 |
+
"country": "Ghana",
|
| 1254 |
+
"continent": "Africa",
|
| 1255 |
+
"mode": "walking",
|
| 1256 |
+
"prompt": "A first-person POV walking through the whitewashed ramparts and courtyards of Cape Coast Castle overlooking fishing boats and the Gulf of Guinea.",
|
| 1257 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"id": "third_mainland_bridge",
|
| 1261 |
+
"place": "Third Mainland Bridge",
|
| 1262 |
+
"city": "Lagos",
|
| 1263 |
+
"country": "Nigeria",
|
| 1264 |
+
"continent": "Africa",
|
| 1265 |
+
"mode": "driving",
|
| 1266 |
+
"prompt": "A dashcam POV driving through a long causeway bridge crossing Lagos Lagoon with the dense high-rise skyline of Lagos Island visible ahead.",
|
| 1267 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"id": "tassili_n_ajjer_plateau_track",
|
| 1271 |
+
"place": "Tassili n'Ajjer Plateau Track",
|
| 1272 |
+
"city": "Djanet",
|
| 1273 |
+
"country": "Algeria",
|
| 1274 |
+
"continent": "Africa",
|
| 1275 |
+
"mode": "driving",
|
| 1276 |
+
"prompt": "A dashcam POV driving through a faint desert track winding among the eroded sandstone rock forests of the Tassili n'Ajjer plateau in the Sahara.",
|
| 1277 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"id": "sydney_opera_house___harbour",
|
| 1281 |
+
"place": "Sydney Opera House & Harbour",
|
| 1282 |
+
"city": "Sydney",
|
| 1283 |
+
"country": "Australia",
|
| 1284 |
+
"continent": "Oceania",
|
| 1285 |
+
"mode": "walking",
|
| 1286 |
+
"prompt": "A first-person POV walking through the white sail-shaped shells of the Sydney Opera House on the harbour with the steel arch of the Sydney Harbour Bridge behind it.",
|
| 1287 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"id": "great_ocean_road",
|
| 1291 |
+
"place": "Great Ocean Road",
|
| 1292 |
+
"city": "Victoria",
|
| 1293 |
+
"country": "Australia",
|
| 1294 |
+
"continent": "Oceania",
|
| 1295 |
+
"mode": "driving",
|
| 1296 |
+
"prompt": "A dashcam POV driving through a coastal cliffside highway along Australia's Great Ocean Road with the limestone Twelve Apostles sea stacks visible offshore.",
|
| 1297 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"id": "queenstown_lakefront",
|
| 1301 |
+
"place": "Queenstown Lakefront",
|
| 1302 |
+
"city": "Queenstown",
|
| 1303 |
+
"country": "New Zealand",
|
| 1304 |
+
"continent": "Oceania",
|
| 1305 |
+
"mode": "walking",
|
| 1306 |
+
"prompt": "A first-person POV walking through a lakefront promenade in Queenstown with turquoise water and the jagged snow-dusted Remarkables mountain range behind it.",
|
| 1307 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"id": "uluru_base_walk",
|
| 1311 |
+
"place": "Uluru Base Walk",
|
| 1312 |
+
"city": "Uluru",
|
| 1313 |
+
"country": "Australia",
|
| 1314 |
+
"continent": "Oceania",
|
| 1315 |
+
"mode": "walking",
|
| 1316 |
+
"prompt": "A first-person POV walking through a red dirt trail circling the base of the massive sandstone monolith Uluru, its rust-colored surface glowing against the desert.",
|
| 1317 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"id": "milford_sound_fjord_road",
|
| 1321 |
+
"place": "Milford Sound Fjord Road",
|
| 1322 |
+
"city": "Fiordland",
|
| 1323 |
+
"country": "New Zealand",
|
| 1324 |
+
"continent": "Oceania",
|
| 1325 |
+
"mode": "driving",
|
| 1326 |
+
"prompt": "A dashcam POV driving through a narrow road threading through steep rainforested cliffs toward Milford Sound's dark fjord waters and waterfalls.",
|
| 1327 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"id": "coral_coast_highway",
|
| 1331 |
+
"place": "Coral Coast Highway",
|
| 1332 |
+
"city": "Coral Coast",
|
| 1333 |
+
"country": "Fiji",
|
| 1334 |
+
"continent": "Oceania",
|
| 1335 |
+
"mode": "driving",
|
| 1336 |
+
"prompt": "A dashcam POV driving through a palm-lined coastal highway along Fiji's Coral Coast with turquoise lagoon waters visible through gaps in the trees.",
|
| 1337 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"id": "bora_bora_overwater_bungalow_path",
|
| 1341 |
+
"place": "Bora Bora Overwater Bungalow Path",
|
| 1342 |
+
"city": "Bora Bora",
|
| 1343 |
+
"country": "French Polynesia",
|
| 1344 |
+
"continent": "Oceania",
|
| 1345 |
+
"mode": "walking",
|
| 1346 |
+
"prompt": "A first-person POV walking through a wooden overwater walkway connecting thatched-roof bungalows above the turquoise lagoon of Bora Bora, a green volcanic peak rising behind.",
|
| 1347 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"id": "bondi_beach_coastal_walk",
|
| 1351 |
+
"place": "Bondi Beach Coastal Walk",
|
| 1352 |
+
"city": "Sydney",
|
| 1353 |
+
"country": "Australia",
|
| 1354 |
+
"continent": "Oceania",
|
| 1355 |
+
"mode": "walking",
|
| 1356 |
+
"prompt": "A first-person POV walking through a clifftop coastal footpath above Bondi Beach's golden sand and surf, sandstone cliffs and the open Pacific stretching to the horizon.",
|
| 1357 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"id": "three_sisters_lookout_trail",
|
| 1361 |
+
"place": "Three Sisters Lookout Trail",
|
| 1362 |
+
"city": "Blue Mountains",
|
| 1363 |
+
"country": "Australia",
|
| 1364 |
+
"continent": "Oceania",
|
| 1365 |
+
"mode": "walking",
|
| 1366 |
+
"prompt": "A first-person POV walking through a forested clifftop trail in the Blue Mountains facing the three sandstone Three Sisters rock formations wrapped in blue-tinged haze.",
|
| 1367 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"id": "hobbiton_movie_set_path",
|
| 1371 |
+
"place": "Hobbiton Movie Set Path",
|
| 1372 |
+
"city": "Matamata",
|
| 1373 |
+
"country": "New Zealand",
|
| 1374 |
+
"continent": "Oceania",
|
| 1375 |
+
"mode": "walking",
|
| 1376 |
+
"prompt": "A first-person POV walking through a grassy path winding past round hobbit-hole doors set into rolling green hillsides at the Hobbiton film set.",
|
| 1377 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"id": "franz_josef_glacier_road",
|
| 1381 |
+
"place": "Franz Josef Glacier Road",
|
| 1382 |
+
"city": "Franz Josef",
|
| 1383 |
+
"country": "New Zealand",
|
| 1384 |
+
"continent": "Oceania",
|
| 1385 |
+
"mode": "driving",
|
| 1386 |
+
"prompt": "A dashcam POV driving through a valley road running through temperate rainforest toward the blue-white tongue of the Franz Josef Glacier descending from the Southern Alps.",
|
| 1387 |
+
"negative_prompt": "blurry, distorted, low quality, jittery, deformed, wrong landmark, generic unrecognizable location"
|
| 1388 |
+
}
|
| 1389 |
+
]
|
| 1390 |
+
}
|
bench_t2v_space_comprehensive/results.jsonl
ADDED
|
@@ -0,0 +1,137 @@
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|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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| 1 |
+
{"id": "eiffel_tower___champ_de_mars", "started_at": 1785266464.4780333, "status": "ok", "bytes": 14079555, "inference_s": "201.159", "wall_s": 201.2}
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| 2 |
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{"id": "tower_bridge___the_thames", "started_at": 1785266665.6622431, "status": "ok", "bytes": 7974610, "inference_s": "201.418", "wall_s": 201.4}
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| 3 |
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{"id": "sagrada_familia", "started_at": 1785266867.0987186, "status": "ok", "bytes": 10121710, "inference_s": "201.222", "wall_s": 201.2}
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| 4 |
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{"id": "colosseum___roman_forum", "started_at": 1785267081.7862575, "status": "ok", "bytes": 8804272, "inference_s": "200.783", "wall_s": 200.8}
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| 5 |
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{"id": "red_square___st__basil_s_cathedral", "started_at": 1785267282.585454, "status": "ok", "bytes": 11011496, "inference_s": "200.943", "wall_s": 201.0}
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| 6 |
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{"id": "brandenburg_gate", "started_at": 1785267483.5474632, "status": "ok", "bytes": 7664554, "inference_s": "201.195", "wall_s": 201.2}
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| 7 |
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{"id": "amsterdam_canal_ring", "started_at": 1785267684.757735, "status": "ok", "bytes": 13211634, "inference_s": "201.018", "wall_s": 201.0}
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| 8 |
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{"id": "santorini_caldera_villages", "started_at": 1785267885.7993898, "status": "ok", "bytes": 10513171, "inference_s": "201.929", "wall_s": 201.9}
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| 9 |
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{"id": "charles_bridge", "started_at": 1785268087.7476113, "status": "ok", "bytes": 8858720, "inference_s": "201.795", "wall_s": 201.8}
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| 10 |
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{"id": "neuschwanstein_castle_road", "started_at": 1785268289.5643306, "status": "ok", "bytes": 9755646, "inference_s": "201.230", "wall_s": 201.2}
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| 11 |
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{"id": "trolltunga_cliff_trail", "started_at": 1785268490.8123834, "status": "ok", "bytes": 8552914, "inference_s": "201.253", "wall_s": 201.3}
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| 12 |
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{"id": "piazza_san_marco", "started_at": 1785268692.0856776, "status": "ok", "bytes": 9640326, "inference_s": "201.312", "wall_s": 201.3}
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| 13 |
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{"id": "acropolis___parthenon", "started_at": 1785268893.4156938, "status": "ok", "bytes": 11118758, "inference_s": "201.217", "wall_s": 201.2}
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| 14 |
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{"id": "ring_road__golden_circle", "started_at": 1785269094.6516867, "status": "ok", "bytes": 7003943, "inference_s": "201.238", "wall_s": 201.3}
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| 15 |
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{"id": "cliffs_of_moher_coastal_path", "started_at": 1785269295.9031394, "status": "ok", "bytes": 7094928, "inference_s": "201.525", "wall_s": 201.5}
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| 16 |
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{"id": "nyhavn_waterfront", "started_at": 1785269497.444583, "status": "ok", "bytes": 13306144, "inference_s": "201.477", "wall_s": 201.5}
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| 17 |
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{"id": "bergen_s_bryggen_wharf", "started_at": 1785269698.9474125, "status": "ok", "bytes": 11701512, "inference_s": "201.512", "wall_s": 201.5}
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| 18 |
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{"id": "plaza_mayor", "started_at": 1785269900.483803, "status": "ok", "bytes": 9789684, "inference_s": "201.638", "wall_s": 201.7}
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| 19 |
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{"id": "chain_bridge___buda_castle", "started_at": 1785270102.1405444, "status": "ok", "bytes": 9140264, "inference_s": "201.398", "wall_s": 201.4}
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| 20 |
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{"id": "old_town_market_square", "started_at": 1785270303.5568154, "status": "ok", "bytes": 8857654, "inference_s": "201.585", "wall_s": 201.6}
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| 21 |
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{"id": "dubrovnik_city_walls", "started_at": 1785270505.1580012, "status": "ok", "bytes": 10152160, "inference_s": "201.347", "wall_s": 201.4}
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| 22 |
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{"id": "lucerne_s_chapel_bridge", "started_at": 1785270706.525702, "status": "ok", "bytes": 8745291, "inference_s": "201.837", "wall_s": 201.9}
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| 23 |
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{"id": "ringstrasse___schonbrunn_palace", "started_at": 1785270908.3797607, "status": "ok", "bytes": 11323721, "inference_s": "201.475", "wall_s": 201.5}
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| 24 |
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{"id": "belem_tower___tagus_riverfront", "started_at": 1785271109.8760467, "status": "ok", "bytes": 10434677, "inference_s": "200.601", "wall_s": 200.6}
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| 25 |
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{"id": "grand_place", "started_at": 1785271310.4958615, "status": "ok", "bytes": 12663009, "inference_s": "202.049", "wall_s": 202.1}
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| 26 |
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{"id": "gamla_stan_old_town", "started_at": 1785271512.5670536, "status": "ok", "bytes": 11041228, "inference_s": "201.640", "wall_s": 201.7}
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| 27 |
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{"id": "senate_square", "started_at": 1785271714.2261896, "status": "ok", "bytes": 7628762, "inference_s": "200.810", "wall_s": 200.8}
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| 28 |
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{"id": "lake_bled_island_road", "started_at": 1785271915.0532293, "status": "ok", "bytes": 7268499, "inference_s": "201.582", "wall_s": 201.6}
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| 29 |
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{"id": "transfagarasan_highway", "started_at": 1785272116.6559188, "status": "ok", "bytes": 6805105, "inference_s": "201.599", "wall_s": 201.6}
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| 30 |
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{"id": "rila_monastery_grounds", "started_at": 1785272318.2726333, "status": "ok", "bytes": 8774477, "inference_s": "201.320", "wall_s": 201.3}
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| 31 |
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{"id": "tbilisi_old_town", "started_at": 1785272519.6085749, "status": "ok", "bytes": 10553804, "inference_s": "201.418", "wall_s": 201.4}
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| 32 |
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{"id": "royal_mile", "started_at": 1785272721.0447838, "status": "ok", "bytes": 10193836, "inference_s": "201.673", "wall_s": 201.7}
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| 33 |
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{"id": "valletta_grand_harbour", "started_at": 1785272922.737876, "status": "ok", "bytes": 8853699, "inference_s": "201.400", "wall_s": 201.4}
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| 34 |
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{"id": "monte_carlo_harbour", "started_at": 1785273124.154314, "status": "ok", "bytes": 9179244, "inference_s": "200.809", "wall_s": 200.8}
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| 35 |
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{"id": "luxembourg_old_town_bridges", "started_at": 1785273324.9810796, "status": "ok", "bytes": 12249331, "inference_s": "201.847", "wall_s": 201.9}
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| 36 |
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{"id": "shibuya_crossing", "started_at": 1785273526.8510385, "status": "ok", "bytes": 10217565, "inference_s": "201.672", "wall_s": 201.7}
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| 37 |
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{"id": "great_wall_at_mutianyu", "started_at": 1785273728.5422225, "status": "ok", "bytes": 7973538, "inference_s": "200.870", "wall_s": 200.9}
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| 38 |
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{"id": "marina_bay_skyline", "started_at": 1785273929.426913, "status": "ok", "bytes": 9098016, "inference_s": "201.799", "wall_s": 201.8}
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| 39 |
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{"id": "grand_bazaar_alleys", "started_at": 1785274131.244224, "status": "ok", "bytes": 11845126, "inference_s": "201.571", "wall_s": 201.6}
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| 40 |
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{"id": "burj_khalifa___downtown_dubai", "started_at": 1785274332.8335962, "status": "ok", "bytes": 9146087, "inference_s": "201.121", "wall_s": 201.1}
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| 41 |
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{"id": "taj_mahal___reflecting_pool", "started_at": 1785274533.9729545, "status": "ok", "bytes": 9470129, "inference_s": "201.556", "wall_s": 201.6}
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| 42 |
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{"id": "ha_long_bay_waterway", "started_at": 1785274735.5472503, "status": "ok", "bytes": 7828218, "inference_s": "201.516", "wall_s": 201.5}
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| 43 |
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{"id": "grand_palace_complex", "started_at": 1785274937.0781195, "status": "ok", "bytes": 12490861, "inference_s": "201.239", "wall_s": 201.3}
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| 44 |
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{"id": "gangnam_boulevard", "started_at": 1785275138.3379502, "status": "ok", "bytes": 11754777, "inference_s": "201.167", "wall_s": 201.2}
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| 45 |
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{"id": "fushimi_inari_torii_path", "started_at": 1785275339.527631, "status": "ok", "bytes": 12170120, "inference_s": "201.790", "wall_s": 201.8}
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| 46 |
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{"id": "petra_s_siq_canyon", "started_at": 1785275541.336124, "status": "ok", "bytes": 6879522, "inference_s": "201.398", "wall_s": 201.4}
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| 47 |
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{"id": "nathan_road", "started_at": 1785275742.7517424, "status": "ok", "bytes": 11180418, "inference_s": "200.731", "wall_s": 200.8}
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| 48 |
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{"id": "angkor_wat_causeway", "started_at": 1785275943.5029607, "status": "ok", "bytes": 9173655, "inference_s": "201.665", "wall_s": 201.7}
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| 49 |
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{"id": "jerusalem_s_old_city_walls", "started_at": 1785276145.1855414, "status": "ok", "bytes": 8492045, "inference_s": "201.447", "wall_s": 201.5}
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| 50 |
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{"id": "borobudur_temple_terraces", "started_at": 1785276346.6505134, "status": "ok", "bytes": 8819375, "inference_s": "201.009", "wall_s": 201.0}
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| 51 |
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{"id": "petronas_towers_plaza", "started_at": 1785276547.676569, "status": "ok", "bytes": 10868070, "inference_s": "201.891", "wall_s": 201.9}
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| 52 |
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{"id": "jeepney_streets_of_manila", "started_at": 1785276749.5880182, "status": "ok", "bytes": 13483622, "inference_s": "201.714", "wall_s": 201.7}
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| 53 |
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{"id": "pudong_skyline___the_bund", "started_at": 1785276951.327236, "status": "ok", "bytes": 10388072, "inference_s": "201.112", "wall_s": 201.1}
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| 54 |
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{"id": "registan_square", "started_at": 1785277152.460113, "status": "ok", "bytes": 9324624, "inference_s": "201.472", "wall_s": 201.5}
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| 55 |
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{"id": "karakoram_highway", "started_at": 1785277353.9502223, "status": "ok", "bytes": 6992006, "inference_s": "201.583", "wall_s": 201.6}
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| 56 |
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{"id": "kathmandu_durbar_square", "started_at": 1785277555.5485709, "status": "ok", "bytes": 8088868, "inference_s": "201.276", "wall_s": 201.3}
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| 57 |
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{"id": "sigiriya_rock_fortress", "started_at": 1785277756.8406267, "status": "ok", "bytes": 9124450, "inference_s": "200.978", "wall_s": 201.0}
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| 58 |
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{"id": "paro_taktsang__tiger_s_nest", "started_at": 1785277957.836694, "status": "ok", "bytes": 8962297, "inference_s": "201.709", "wall_s": 201.7}
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| 59 |
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{"id": "bagan_temple_plain", "started_at": 1785278159.5657527, "status": "ok", "bytes": 6926385, "inference_s": "201.435", "wall_s": 201.4}
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| 60 |
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{"id": "luang_prabang_night_market_street", "started_at": 1785278361.0145648, "status": "ok", "bytes": 11888977, "inference_s": "200.984", "wall_s": 201.0}
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| 61 |
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{"id": "taipei_101___xinyi_district", "started_at": 1785278562.0210502, "status": "ok", "bytes": 9070423, "inference_s": "201.831", "wall_s": 201.8}
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| 62 |
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{"id": "gobi_desert_steppe_road", "started_at": 1785278763.8695269, "status": "ok", "bytes": 8910311, "inference_s": "201.225", "wall_s": 201.2}
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| 63 |
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{"id": "charyn_canyon_road", "started_at": 1785278965.1114876, "status": "ok", "bytes": 7092160, "inference_s": "200.699", "wall_s": 200.7}
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| 64 |
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{"id": "doha_corniche", "started_at": 1785279165.8226924, "status": "ok", "bytes": 9611134, "inference_s": "201.670", "wall_s": 201.7}
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| 65 |
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{"id": "naqsh_e_jahan_square", "started_at": 1785279367.5086472, "status": "ok", "bytes": 14507836, "inference_s": "201.512", "wall_s": 201.5}
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| 66 |
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{"id": "baku_old_city___flame_towers", "started_at": 1785279569.0453951, "status": "ok", "bytes": 7403160, "inference_s": "201.014", "wall_s": 201.0}
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| 67 |
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{"id": "times_square", "started_at": 1785279770.0739574, "status": "ok", "bytes": 10757840, "inference_s": "201.701", "wall_s": 201.7}
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| 68 |
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{"id": "golden_gate_bridge", "started_at": 1785279971.796226, "status": "ok", "bytes": 7327413, "inference_s": "201.728", "wall_s": 201.7}
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| 69 |
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{"id": "grand_canyon_south_rim_road", "started_at": 1785280173.5370736, "status": "ok", "bytes": 7675991, "inference_s": "201.254", "wall_s": 201.3}
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| 70 |
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{"id": "hollywood_boulevard", "started_at": 1785280374.8112862, "status": "ok", "bytes": 12160488, "inference_s": "201.118", "wall_s": 201.1}
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| 71 |
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{"id": "cn_tower___downtown_toronto", "started_at": 1785280575.951021, "status": "ok", "bytes": 7543388, "inference_s": "201.701", "wall_s": 201.7}
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| 72 |
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{"id": "zocalo___metropolitan_cathedral", "started_at": 1785280777.6703093, "status": "ok", "bytes": 6173731, "inference_s": "201.429", "wall_s": 201.4}
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| 73 |
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{"id": "bow_valley_parkway", "started_at": 1785280979.1138308, "status": "ok", "bytes": 7401619, "inference_s": "200.820", "wall_s": 200.8}
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| 74 |
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{"id": "french_quarter_streets", "started_at": 1785281179.9474683, "status": "ok", "bytes": 10302898, "inference_s": "201.919", "wall_s": 201.9}
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| 75 |
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{"id": "route_66_desert_highway", "started_at": 1785281381.8836997, "status": "ok", "bytes": 6083682, "inference_s": "201.493", "wall_s": 201.5}
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| 76 |
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{"id": "chichen_itza_pyramid_grounds", "started_at": 1785281583.3885193, "status": "ok", "bytes": 8333149, "inference_s": "200.944", "wall_s": 201.0}
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| 77 |
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{"id": "millennium_park___the_bean", "started_at": 1785281784.3464377, "status": "ok", "bytes": 10020199, "inference_s": "201.760", "wall_s": 201.8}
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| 78 |
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{"id": "icefields_parkway", "started_at": 1785281986.1229749, "status": "ok", "bytes": 6583915, "inference_s": "201.527", "wall_s": 201.5}
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| 79 |
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{"id": "havana_s_malecon", "started_at": 1785282187.6653523, "status": "ok", "bytes": 8327769, "inference_s": "201.174", "wall_s": 201.2}
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| 80 |
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{"id": "antigua_s_cobblestone_streets", "started_at": 1785282388.854531, "status": "ok", "bytes": 9263135, "inference_s": "201.392", "wall_s": 201.4}
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| 81 |
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{"id": "old_san_juan_streets", "started_at": 1785282590.26303, "status": "ok", "bytes": 10091405, "inference_s": "201.617", "wall_s": 201.6}
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| 82 |
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{"id": "las_vegas_strip", "started_at": 1785282791.8960772, "status": "ok", "bytes": 9558546, "inference_s": "201.268", "wall_s": 201.3}
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| 83 |
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{"id": "niagara_falls_overlook", "started_at": 1785282993.1796439, "status": "ok", "bytes": 9020975, "inference_s": "200.999", "wall_s": 201.0}
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| 84 |
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{"id": "yellowstone_grand_loop_road", "started_at": 1785283194.1966174, "status": "ok", "bytes": 7333128, "inference_s": "201.630", "wall_s": 201.6}
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| 85 |
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{"id": "ocean_drive___south_beach", "started_at": 1785283395.8385603, "status": "ok", "bytes": 9066089, "inference_s": "201.611", "wall_s": 201.6}
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| 86 |
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{"id": "stanley_park_seawall", "started_at": 1785283597.4673696, "status": "ok", "bytes": 9722421, "inference_s": "200.968", "wall_s": 201.0}
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| 87 |
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{"id": "arenal_volcano_road", "started_at": 1785283798.453171, "status": "ok", "bytes": 8023953, "inference_s": "201.757", "wall_s": 201.8}
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| 88 |
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{"id": "casco_viejo_streets", "started_at": 1785284000.223339, "status": "ok", "bytes": 9766096, "inference_s": "201.579", "wall_s": 201.6}
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| 89 |
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{"id": "dunn_s_river_falls", "started_at": 1785284201.8207648, "status": "ok", "bytes": 10762670, "inference_s": "200.924", "wall_s": 200.9}
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| 90 |
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{"id": "zona_colonial", "started_at": 1785284402.7601943, "status": "ok", "bytes": 9377655, "inference_s": "201.760", "wall_s": 201.8}
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| 91 |
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{"id": "quebec_city_old_town", "started_at": 1785284604.538704, "status": "ok", "bytes": 11059286, "inference_s": "201.568", "wall_s": 201.6}
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| 92 |
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{"id": "christ_the_redeemer___rio_skyline", "started_at": 1785284806.1324875, "status": "ok", "bytes": 8893808, "inference_s": "201.204", "wall_s": 201.2}
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| 93 |
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{"id": "machu_picchu_terraces", "started_at": 1785285007.353173, "status": "ok", "bytes": 8781885, "inference_s": "201.285", "wall_s": 201.3}
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| 94 |
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{"id": "caminito_street", "started_at": 1785285208.6527352, "status": "ok", "bytes": 8820308, "inference_s": "201.733", "wall_s": 201.7}
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| 95 |
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{"id": "salar_de_uyuni_salt_flat_road", "started_at": 1785285410.3998873, "status": "ok", "bytes": 7245279, "inference_s": "201.107", "wall_s": 201.1}
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| 96 |
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{"id": "cartagena_s_walled_old_town", "started_at": 1785285611.5206203, "status": "ok", "bytes": 14124294, "inference_s": "201.302", "wall_s": 201.3}
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| 97 |
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{"id": "torres_del_paine_road", "started_at": 1785285812.8465245, "status": "ok", "bytes": 9525639, "inference_s": "201.560", "wall_s": 201.6}
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| 98 |
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{"id": "iguazu_falls_walkways", "started_at": 1785286014.424008, "status": "ok", "bytes": 11143489, "inference_s": "201.615", "wall_s": 201.6}
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| 99 |
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{"id": "quito_s_old_town_plazas", "started_at": 1785286216.0574136, "status": "ok", "bytes": 8311937, "inference_s": "200.986", "wall_s": 201.0}
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| 100 |
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{"id": "angel_falls_overlook_trail", "started_at": 1785286417.056427, "status": "ok", "bytes": 9785550, "inference_s": "201.889", "wall_s": 201.9}
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| 101 |
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{"id": "colonia_del_sacramento_streets", "started_at": 1785286618.9616437, "status": "ok", "bytes": 10557430, "inference_s": "201.475", "wall_s": 201.5}
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| 102 |
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{"id": "jesuit_missions_of_trinidad", "started_at": 1785286820.4542823, "status": "ok", "bytes": 8646169, "inference_s": "200.810", "wall_s": 200.8}
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| 103 |
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{"id": "amazon_river_at_manaus", "started_at": 1785287021.2801187, "status": "ok", "bytes": 5100768, "inference_s": "201.633", "wall_s": 201.6}
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| 104 |
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{"id": "rainbow_mountain_trail", "started_at": 1785287222.9235888, "status": "ok", "bytes": 8886115, "inference_s": "201.530", "wall_s": 201.5}
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| 105 |
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{"id": "rapa_nui_moai_coastline", "started_at": 1785287424.4711592, "status": "ok", "bytes": 8336763, "inference_s": "201.176", "wall_s": 201.2}
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| 106 |
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{"id": "cocora_valley_wax_palms", "started_at": 1785287625.6601799, "status": "ok", "bytes": 9466974, "inference_s": "201.555", "wall_s": 201.6}
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| 107 |
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{"id": "otavalo_market_streets", "started_at": 1785287827.2317595, "status": "ok", "bytes": 9134437, "inference_s": "201.617", "wall_s": 201.6}
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| 108 |
+
{"id": "pyramids_of_giza", "started_at": 1785288028.864994, "status": "ok", "bytes": 9573637, "inference_s": "201.095", "wall_s": 201.1}
|
| 109 |
+
{"id": "table_mountain_road", "started_at": 1785288229.9759283, "status": "ok", "bytes": 6744711, "inference_s": "200.914", "wall_s": 200.9}
|
| 110 |
+
{"id": "marrakech_medina_souks", "started_at": 1785288430.904767, "status": "ok", "bytes": 11118935, "inference_s": "201.820", "wall_s": 201.8}
|
| 111 |
+
{"id": "serengeti_safari_track", "started_at": 1785288632.7459855, "status": "ok", "bytes": 9942884, "inference_s": "201.294", "wall_s": 201.3}
|
| 112 |
+
{"id": "victoria_falls_rainforest_path", "started_at": 1785288834.057049, "status": "ok", "bytes": 7061736, "inference_s": "200.661", "wall_s": 200.7}
|
| 113 |
+
{"id": "sahara_dunes_track", "started_at": 1785289034.731873, "status": "ok", "bytes": 6368233, "inference_s": "201.623", "wall_s": 201.6}
|
| 114 |
+
{"id": "lalibela_s_rock_hewn_churches", "started_at": 1785289236.3676877, "status": "ok", "bytes": 7237230, "inference_s": "201.624", "wall_s": 201.6}
|
| 115 |
+
{"id": "stone_town_alleys", "started_at": 1785289438.0053017, "status": "ok", "bytes": 8678259, "inference_s": "200.914", "wall_s": 200.9}
|
| 116 |
+
{"id": "garden_route_coastal_highway", "started_at": 1785289638.934534, "status": "ok", "bytes": 6986461, "inference_s": "201.709", "wall_s": 201.7}
|
| 117 |
+
{"id": "sossusvlei_dune_road", "started_at": 1785289840.662059, "status": "ok", "bytes": 9274529, "inference_s": "201.434", "wall_s": 201.4}
|
| 118 |
+
{"id": "okavango_delta_waterways", "started_at": 1785290042.1116316, "status": "ok", "bytes": 8542112, "inference_s": "200.955", "wall_s": 201.0}
|
| 119 |
+
{"id": "maasai_mara_savanna_track", "started_at": 1785290243.0811586, "status": "ok", "bytes": 9489985, "inference_s": "201.237", "wall_s": 201.3}
|
| 120 |
+
{"id": "volcanoes_national_park_trail", "started_at": 1785290444.3353128, "status": "ok", "bytes": 9186391, "inference_s": "201.537", "wall_s": 201.6}
|
| 121 |
+
{"id": "avenue_of_the_baobabs", "started_at": 1785290645.8899007, "status": "ok", "bytes": 8447707, "inference_s": "201.363", "wall_s": 201.4}
|
| 122 |
+
{"id": "sidi_bou_said_streets", "started_at": 1785290847.268436, "status": "ok", "bytes": 8383087, "inference_s": "200.928", "wall_s": 200.9}
|
| 123 |
+
{"id": "goree_island_streets", "started_at": 1785291048.2123034, "status": "ok", "bytes": 8251655, "inference_s": "201.774", "wall_s": 201.8}
|
| 124 |
+
{"id": "cape_coast_castle_grounds", "started_at": 1785291250.0031052, "status": "ok", "bytes": 7188528, "inference_s": "201.488", "wall_s": 201.5}
|
| 125 |
+
{"id": "third_mainland_bridge", "started_at": 1785291451.5032556, "status": "ok", "bytes": 7179944, "inference_s": "200.974", "wall_s": 201.0}
|
| 126 |
+
{"id": "tassili_n_ajjer_plateau_track", "started_at": 1785291652.4886806, "status": "ok", "bytes": 9646053, "inference_s": "201.652", "wall_s": 201.7}
|
| 127 |
+
{"id": "sydney_opera_house___harbour", "started_at": 1785291854.1582212, "status": "ok", "bytes": 8770042, "inference_s": "201.646", "wall_s": 201.7}
|
| 128 |
+
{"id": "great_ocean_road", "started_at": 1785292055.8178806, "status": "ok", "bytes": 7513382, "inference_s": "200.891", "wall_s": 200.9}
|
| 129 |
+
{"id": "queenstown_lakefront", "started_at": 1785292256.7215385, "status": "ok", "bytes": 7694777, "inference_s": "201.758", "wall_s": 201.8}
|
| 130 |
+
{"id": "uluru_base_walk", "started_at": 1785292458.4942544, "status": "ok", "bytes": 7888359, "inference_s": "201.400", "wall_s": 201.4}
|
| 131 |
+
{"id": "milford_sound_fjord_road", "started_at": 1785292659.9071739, "status": "ok", "bytes": 12620713, "inference_s": "201.169", "wall_s": 201.2}
|
| 132 |
+
{"id": "coral_coast_highway", "started_at": 1785292861.0961971, "status": "ok", "bytes": 11303979, "inference_s": "201.252", "wall_s": 201.3}
|
| 133 |
+
{"id": "bora_bora_overwater_bungalow_path", "started_at": 1785293062.3670175, "status": "ok", "bytes": 8576914, "inference_s": "201.574", "wall_s": 201.6}
|
| 134 |
+
{"id": "bondi_beach_coastal_walk", "started_at": 1785293263.9557347, "status": "ok", "bytes": 7808905, "inference_s": "201.398", "wall_s": 201.4}
|
| 135 |
+
{"id": "three_sisters_lookout_trail", "started_at": 1785293465.3669057, "status": "ok", "bytes": 11760406, "inference_s": "200.901", "wall_s": 200.9}
|
| 136 |
+
{"id": "hobbiton_movie_set_path", "started_at": 1785293666.2861776, "status": "ok", "bytes": 8726882, "inference_s": "201.582", "wall_s": 201.6}
|
| 137 |
+
{"id": "franz_josef_glacier_road", "started_at": 1785293867.8850467, "status": "ok", "bytes": 8135919, "inference_s": "201.517", "wall_s": 201.5}
|
bench_t2v_space_comprehensive/score_claude.py
ADDED
|
@@ -0,0 +1,259 @@
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|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Sole eval signal for bench_t2v_space_comprehensive: Claude Opus 5 on Amazon
|
| 3 |
+
Bedrock, used as a VLM-as-judge over frames sampled from each generated video.
|
| 4 |
+
|
| 5 |
+
Replaces the previous two-model setup (local Qwen3.5-27B + TIGER-Lab/VideoScore2
|
| 6 |
+
combined by combine.py) -- there is now exactly one judge, so there is nothing
|
| 7 |
+
to combine; summarize.py just aggregates this scorer's output.
|
| 8 |
+
|
| 9 |
+
The rubric is unchanged from the Qwen3.5 version: three axes, each 0-10 --
|
| 10 |
+
`alignment` (is this the SPECIFIC named real-world place?), `quality`,
|
| 11 |
+
`smoothness`.
|
| 12 |
+
|
| 13 |
+
Claude takes images, not video, so each video is reduced to K evenly-spaced
|
| 14 |
+
frames sent as JPEG images in one user turn. Frames are downscaled to
|
| 15 |
+
--max-side (default 768px long edge) to keep per-request image tokens
|
| 16 |
+
reasonable: Claude bills roughly (w*h)/750 tokens per image, so 8 frames at
|
| 17 |
+
768x432 is ~3.5k image tokens per video.
|
| 18 |
+
|
| 19 |
+
Requirements:
|
| 20 |
+
pip install 'anthropic[bedrock]' # boto3 is what signs the SigV4 request
|
| 21 |
+
AWS credentials resolvable the usual way (env vars, ~/.aws, instance role)
|
| 22 |
+
AWS_REGION (or --aws-region) set to a region where the model is enabled
|
| 23 |
+
|
| 24 |
+
Usage (CPU node is fine -- no local model is loaded):
|
| 25 |
+
python score_claude.py # scores outputs/videos/*.mp4
|
| 26 |
+
python score_claude.py --limit 5 # quick partial check
|
| 27 |
+
python score_claude.py --concurrency 8 # more in-flight requests
|
| 28 |
+
Output: outputs/claude_scores.jsonl (resumable -- skips ids already present).
|
| 29 |
+
"""
|
| 30 |
+
from __future__ import annotations
|
| 31 |
+
|
| 32 |
+
import argparse
|
| 33 |
+
import base64
|
| 34 |
+
import json
|
| 35 |
+
import re
|
| 36 |
+
import threading
|
| 37 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 38 |
+
from pathlib import Path
|
| 39 |
+
|
| 40 |
+
import cv2
|
| 41 |
+
import numpy as np
|
| 42 |
+
|
| 43 |
+
HERE = Path(__file__).resolve().parent
|
| 44 |
+
|
| 45 |
+
DEFAULT_MODEL = "anthropic.claude-opus-5"
|
| 46 |
+
DEFAULT_REGION = "us-east-1"
|
| 47 |
+
|
| 48 |
+
K_FRAMES = 8
|
| 49 |
+
MAX_SIDE = 768
|
| 50 |
+
JPEG_QUALITY = 90
|
| 51 |
+
MAX_TOKENS = 4000
|
| 52 |
+
|
| 53 |
+
AXES = ("alignment", "quality", "smoothness")
|
| 54 |
+
|
| 55 |
+
JUDGE_PROMPT_TEMPLATE = """You are a STRICT, SKEPTICAL judge of an AI-generated video against the text prompt that produced it. Most generated videos have real flaws -- assume there are problems until the frames clearly prove otherwise. Do not give credit for "close enough" or "same general vibe."
|
| 56 |
+
|
| 57 |
+
Prompt: "{prompt}"
|
| 58 |
+
|
| 59 |
+
The prompt names a specific real-world place. The {k} images above are frames sampled evenly across the video's duration, in order.
|
| 60 |
+
|
| 61 |
+
Rate the video on three axes, each an integer from 0 to 10. Use the full range -- most videos should land in the 3-6 band; reserve 9-10 for videos with essentially no flaws.
|
| 62 |
+
|
| 63 |
+
alignment (does this show the SPECIFIC named place, not a generic lookalike?):
|
| 64 |
+
10 = unmistakably the named place, every distinctive identifying feature (exact architecture, layout, landmarks) present and correct
|
| 65 |
+
8-9 = clearly the named place, at most one minor identifying detail off
|
| 66 |
+
6-7 = recognizable as the named place but missing or altering several distinctive features
|
| 67 |
+
4-5 = generic scene of the right broad category (e.g. "a plaza", "a bridge") that could be anywhere -- does NOT capture what makes this place specific
|
| 68 |
+
2-3 = only a loose thematic connection; a knowledgeable viewer would not identify this as the named place
|
| 69 |
+
0-1 = wrong place entirely or unrecognizable
|
| 70 |
+
|
| 71 |
+
quality (sharpness, absence of warping/artifacts/melting geometry):
|
| 72 |
+
10 = photoreal, no visible artifacts anywhere
|
| 73 |
+
8-9 = very good, at most one small artifact on close inspection
|
| 74 |
+
6-7 = noticeable but minor artifacts (soft warping, texture smearing) that don't dominate the frame
|
| 75 |
+
4-5 = clear artifacts in multiple frames (melting geometry, garbled architectural detail, unstable structures)
|
| 76 |
+
0-3 = pervasive artifacts, badly broken in most frames
|
| 77 |
+
|
| 78 |
+
smoothness (temporal coherence across the frames -- no flicker, no discontinuities, consistent object/architecture identity):
|
| 79 |
+
10 = perfectly smooth and consistent throughout
|
| 80 |
+
8-9 = very smooth, at most one minor discontinuity
|
| 81 |
+
6-7 = mostly smooth but with a couple of noticeable jumps or identity drift
|
| 82 |
+
4-5 = frequent flicker or objects/architecture changing shape or identity between frames
|
| 83 |
+
0-3 = incoherent, frames barely relate to each other
|
| 84 |
+
|
| 85 |
+
Be honest and critical -- if you are uncertain whether a detail is correct, score it as if it is wrong, not right.
|
| 86 |
+
|
| 87 |
+
Respond with ONLY a JSON object, no other text, in exactly this form:
|
| 88 |
+
{{"alignment": <int 0-10>, "quality": <int 0-10>, "smoothness": <int 0-10>, "reason": "<one short sentence, naming the specific flaw if any>"}}
|
| 89 |
+
"""
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
def item_meta(it: dict) -> dict:
|
| 93 |
+
"""Manifest fields carried through onto every score record."""
|
| 94 |
+
return {"place": it["place"], "country": it["country"],
|
| 95 |
+
"continent": it["continent"], "mode": it["mode"]}
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
# --- generic below this line -------------------------------------------------
|
| 99 |
+
|
| 100 |
+
def make_client(mode: str, region: str, max_retries: int):
|
| 101 |
+
"""Bedrock client. `mantle` is the Messages-API Bedrock endpoint and the
|
| 102 |
+
recommended path; `legacy` is the older bedrock-runtime InvokeModel path,
|
| 103 |
+
kept for accounts that only have that enabled (its model ids look like
|
| 104 |
+
`us.anthropic.claude-opus-5-v1:0` -- pass one with --model)."""
|
| 105 |
+
try:
|
| 106 |
+
from anthropic import AnthropicBedrock, AnthropicBedrockMantle
|
| 107 |
+
except ImportError as exc: # pragma: no cover
|
| 108 |
+
raise SystemExit(f"anthropic SDK not available: {exc}") from exc
|
| 109 |
+
cls = AnthropicBedrockMantle if mode == "mantle" else AnthropicBedrock
|
| 110 |
+
return cls(aws_region=region, max_retries=max_retries)
|
| 111 |
+
|
| 112 |
+
|
| 113 |
+
def sample_frames(video_path: Path, k: int) -> list[np.ndarray]:
|
| 114 |
+
"""K evenly-spaced BGR frames across the whole video."""
|
| 115 |
+
cap = cv2.VideoCapture(str(video_path))
|
| 116 |
+
n = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
|
| 117 |
+
if n <= 0:
|
| 118 |
+
cap.release()
|
| 119 |
+
raise RuntimeError(f"no frames read from {video_path}")
|
| 120 |
+
frames = []
|
| 121 |
+
for i in np.linspace(0, n - 1, num=min(k, n), dtype=int):
|
| 122 |
+
cap.set(cv2.CAP_PROP_POS_FRAMES, int(i))
|
| 123 |
+
ok, frame = cap.read()
|
| 124 |
+
if ok:
|
| 125 |
+
frames.append(frame)
|
| 126 |
+
cap.release()
|
| 127 |
+
if not frames:
|
| 128 |
+
raise RuntimeError(f"no frames decoded from {video_path}")
|
| 129 |
+
return frames
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
def encode_jpeg(frame_bgr: np.ndarray, max_side: int) -> str:
|
| 133 |
+
h, w = frame_bgr.shape[:2]
|
| 134 |
+
scale = max_side / max(h, w)
|
| 135 |
+
if scale < 1:
|
| 136 |
+
frame_bgr = cv2.resize(frame_bgr, (int(w * scale), int(h * scale)),
|
| 137 |
+
interpolation=cv2.INTER_AREA)
|
| 138 |
+
ok, buf = cv2.imencode(".jpg", frame_bgr, [int(cv2.IMWRITE_JPEG_QUALITY), JPEG_QUALITY])
|
| 139 |
+
if not ok:
|
| 140 |
+
raise RuntimeError("cv2.imencode failed")
|
| 141 |
+
return base64.standard_b64encode(buf.tobytes()).decode("ascii")
|
| 142 |
+
|
| 143 |
+
|
| 144 |
+
def parse_judge_json(text: str) -> dict:
|
| 145 |
+
"""Pull the JSON object out of the judge's reply and clamp the axes."""
|
| 146 |
+
m = re.search(r"\{.*\}", text, re.S)
|
| 147 |
+
if not m:
|
| 148 |
+
raise ValueError(f"no JSON object found in judge output: {text[:200]!r}")
|
| 149 |
+
obj = json.loads(m.group(0))
|
| 150 |
+
for axis in AXES:
|
| 151 |
+
obj[axis] = max(0.0, min(10.0, float(obj[axis])))
|
| 152 |
+
return obj
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
def judge_video(client, model: str, effort: str, prompt: str,
|
| 156 |
+
video_path: Path, k_frames: int, max_side: int) -> dict:
|
| 157 |
+
frames = sample_frames(video_path, k_frames)
|
| 158 |
+
content = [
|
| 159 |
+
{"type": "image", "source": {"type": "base64", "media_type": "image/jpeg",
|
| 160 |
+
"data": encode_jpeg(f, max_side)}}
|
| 161 |
+
for f in frames
|
| 162 |
+
]
|
| 163 |
+
content.append({"type": "text",
|
| 164 |
+
"text": JUDGE_PROMPT_TEMPLATE.format(prompt=prompt, k=len(frames))})
|
| 165 |
+
|
| 166 |
+
response = client.messages.create(
|
| 167 |
+
model=model,
|
| 168 |
+
max_tokens=MAX_TOKENS,
|
| 169 |
+
thinking={"type": "adaptive"},
|
| 170 |
+
output_config={"effort": effort},
|
| 171 |
+
messages=[{"role": "user", "content": content}],
|
| 172 |
+
)
|
| 173 |
+
if response.stop_reason == "refusal":
|
| 174 |
+
category = getattr(response.stop_details, "category", None)
|
| 175 |
+
raise RuntimeError(f"model refused (category={category})")
|
| 176 |
+
text = "".join(b.text for b in response.content if b.type == "text")
|
| 177 |
+
if not text.strip():
|
| 178 |
+
raise RuntimeError(f"empty response (stop_reason={response.stop_reason})")
|
| 179 |
+
return parse_judge_json(text)
|
| 180 |
+
|
| 181 |
+
|
| 182 |
+
def parse_args() -> argparse.Namespace:
|
| 183 |
+
p = argparse.ArgumentParser(description="Score bench_t2v_space_comprehensive with Claude Opus 5 on Bedrock.")
|
| 184 |
+
p.add_argument("--manifest", default=str(HERE / "manifest.json"))
|
| 185 |
+
p.add_argument("--videos-dir", default=str(HERE / "outputs" / "videos"))
|
| 186 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 187 |
+
p.add_argument("--model", default=DEFAULT_MODEL)
|
| 188 |
+
p.add_argument("--aws-region", default=None,
|
| 189 |
+
help=f"defaults to $AWS_REGION, else {DEFAULT_REGION}")
|
| 190 |
+
p.add_argument("--bedrock-mode", choices=("mantle", "legacy"), default="mantle")
|
| 191 |
+
p.add_argument("--effort", choices=("low", "medium", "high", "xhigh", "max"), default="medium")
|
| 192 |
+
p.add_argument("--limit", type=int, default=None)
|
| 193 |
+
p.add_argument("--k-frames", type=int, default=K_FRAMES)
|
| 194 |
+
p.add_argument("--max-side", type=int, default=MAX_SIDE)
|
| 195 |
+
p.add_argument("--concurrency", type=int, default=4)
|
| 196 |
+
p.add_argument("--max-retries", type=int, default=5)
|
| 197 |
+
return p.parse_args()
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
def main() -> None:
|
| 201 |
+
import os
|
| 202 |
+
|
| 203 |
+
args = parse_args()
|
| 204 |
+
region = args.aws_region or os.environ.get("AWS_REGION") or DEFAULT_REGION
|
| 205 |
+
|
| 206 |
+
manifest = json.load(open(args.manifest))
|
| 207 |
+
items = manifest["items"]
|
| 208 |
+
if args.limit is not None:
|
| 209 |
+
items = items[: args.limit]
|
| 210 |
+
|
| 211 |
+
videos_dir = Path(args.videos_dir)
|
| 212 |
+
out_dir = Path(args.out_dir)
|
| 213 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 214 |
+
scores_path = out_dir / "claude_scores.jsonl"
|
| 215 |
+
already = set()
|
| 216 |
+
if scores_path.exists():
|
| 217 |
+
for line in scores_path.read_text().splitlines():
|
| 218 |
+
if line.strip():
|
| 219 |
+
already.add(json.loads(line)["id"])
|
| 220 |
+
|
| 221 |
+
todo = [it for it in items if it["id"] not in already]
|
| 222 |
+
print(f"{len(items)} items, {len(already)} already scored, {len(todo)} to score")
|
| 223 |
+
print(f"judge: {args.model} via bedrock ({args.bedrock_mode}, region={region}, effort={args.effort})")
|
| 224 |
+
|
| 225 |
+
client = make_client(args.bedrock_mode, region, args.max_retries)
|
| 226 |
+
write_lock = threading.Lock()
|
| 227 |
+
counter = {"n": 0}
|
| 228 |
+
|
| 229 |
+
def work(it: dict) -> None:
|
| 230 |
+
video_path = videos_dir / f"{it['id']}.mp4"
|
| 231 |
+
meta = {"id": it["id"], **item_meta(it)}
|
| 232 |
+
if not video_path.exists():
|
| 233 |
+
with write_lock:
|
| 234 |
+
counter["n"] += 1
|
| 235 |
+
print(f"[{counter['n']}/{len(todo)}] SKIP {it['id']}: video not found")
|
| 236 |
+
return
|
| 237 |
+
try:
|
| 238 |
+
judge = judge_video(client, args.model, args.effort, it["prompt"],
|
| 239 |
+
video_path, args.k_frames, args.max_side)
|
| 240 |
+
record = {**meta, **{axis: judge[axis] for axis in AXES},
|
| 241 |
+
"reason": judge.get("reason", "")}
|
| 242 |
+
line = " ".join(f"{axis.split('_')[0]}={judge[axis]:.0f}" for axis in AXES)
|
| 243 |
+
except Exception as exc:
|
| 244 |
+
record = {**meta, "error": f"{type(exc).__name__}: {exc}"[:300]}
|
| 245 |
+
line = f"ERROR {exc}"
|
| 246 |
+
with write_lock:
|
| 247 |
+
counter["n"] += 1
|
| 248 |
+
print(f"[{counter['n']}/{len(todo)}] {it['id']}: {line}", flush=True)
|
| 249 |
+
with open(scores_path, "a") as f:
|
| 250 |
+
f.write(json.dumps(record) + "\n")
|
| 251 |
+
|
| 252 |
+
with ThreadPoolExecutor(max_workers=max(1, args.concurrency)) as pool:
|
| 253 |
+
list(pool.map(work, todo))
|
| 254 |
+
|
| 255 |
+
print(f"done -> {scores_path}")
|
| 256 |
+
|
| 257 |
+
|
| 258 |
+
if __name__ == "__main__":
|
| 259 |
+
main()
|
bench_t2v_space_comprehensive/summarize.py
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Aggregate score_claude.py output into a per-video score file and a summary.
|
| 3 |
+
|
| 4 |
+
Replaces the old combine.py, which merged two judges (Qwen3.5 + VideoScore2).
|
| 5 |
+
Claude Opus 5 is now the only judge, so there is nothing to combine -- the
|
| 6 |
+
score is just the mean of the three rubric axes:
|
| 7 |
+
|
| 8 |
+
score = mean(alignment, quality, smoothness) / 10
|
| 9 |
+
pass = alignment >= 8 and quality >= 7
|
| 10 |
+
|
| 11 |
+
Thresholds are carried over unchanged from combine.py (alignment >= 8 means a
|
| 12 |
+
near-perfect place match, not just "recognizable"); the VideoScore2
|
| 13 |
+
`min(v,t,p) >= 4` gate is gone with the model that produced it.
|
| 14 |
+
|
| 15 |
+
Usage:
|
| 16 |
+
python summarize.py
|
| 17 |
+
python summarize.py --out-dir outputs
|
| 18 |
+
Output: outputs/scores.jsonl (per-video) + outputs/summary.json.
|
| 19 |
+
"""
|
| 20 |
+
from __future__ import annotations
|
| 21 |
+
|
| 22 |
+
import argparse
|
| 23 |
+
import json
|
| 24 |
+
from pathlib import Path
|
| 25 |
+
|
| 26 |
+
import numpy as np
|
| 27 |
+
|
| 28 |
+
HERE = Path(__file__).resolve().parent
|
| 29 |
+
|
| 30 |
+
AXES = ("alignment", "quality", "smoothness")
|
| 31 |
+
GROUP_KEYS = ("mode", "continent")
|
| 32 |
+
|
| 33 |
+
PASS_ALIGNMENT = 8.0
|
| 34 |
+
PASS_QUALITY = 7.0
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def passed(r: dict) -> bool:
|
| 38 |
+
return r["alignment"] >= PASS_ALIGNMENT and r["quality"] >= PASS_QUALITY
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
# --- generic below this line -------------------------------------------------
|
| 42 |
+
|
| 43 |
+
def parse_args() -> argparse.Namespace:
|
| 44 |
+
p = argparse.ArgumentParser(description="Summarize Claude judge scores.")
|
| 45 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 46 |
+
return p.parse_args()
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
def load_jsonl(path: Path) -> list[dict]:
|
| 50 |
+
if not path.exists():
|
| 51 |
+
raise SystemExit(f"missing {path} -- run score_claude.py first")
|
| 52 |
+
return [json.loads(l) for l in path.read_text().splitlines() if l.strip()]
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
def main() -> None:
|
| 56 |
+
args = parse_args()
|
| 57 |
+
out_dir = Path(args.out_dir)
|
| 58 |
+
records = load_jsonl(out_dir / "claude_scores.jsonl")
|
| 59 |
+
|
| 60 |
+
merged = []
|
| 61 |
+
for r in sorted(records, key=lambda x: x["id"]):
|
| 62 |
+
if "error" in r:
|
| 63 |
+
merged.append({**{k: v for k, v in r.items() if k != "reason"}, "pass": False})
|
| 64 |
+
continue
|
| 65 |
+
score = sum(r[axis] for axis in AXES) / (10.0 * len(AXES))
|
| 66 |
+
merged.append({**r, "score": round(score, 4), "pass": passed(r)})
|
| 67 |
+
|
| 68 |
+
scores_path = out_dir / "scores.jsonl"
|
| 69 |
+
scores_path.write_text("\n".join(json.dumps(r) for r in merged) + "\n")
|
| 70 |
+
|
| 71 |
+
ok = [r for r in merged if "error" not in r]
|
| 72 |
+
summary = {
|
| 73 |
+
"judge": "claude-opus-5 (bedrock)",
|
| 74 |
+
"num_scored": len(merged),
|
| 75 |
+
"num_ok": len(ok),
|
| 76 |
+
"num_errors": len(merged) - len(ok),
|
| 77 |
+
"pass_rate": round(sum(r["pass"] for r in ok) / len(ok), 3) if ok else None,
|
| 78 |
+
"mean_score": round(float(np.mean([r["score"] for r in ok])), 3) if ok else None,
|
| 79 |
+
}
|
| 80 |
+
for axis in AXES:
|
| 81 |
+
summary[f"mean_{axis}"] = round(float(np.mean([r[axis] for r in ok])), 3) if ok else None
|
| 82 |
+
for key in GROUP_KEYS:
|
| 83 |
+
groups: dict = {}
|
| 84 |
+
for r in ok:
|
| 85 |
+
groups.setdefault(r[key], []).append(r["score"])
|
| 86 |
+
summary[f"mean_score_by_{key}"] = {k: round(float(np.mean(v)), 3)
|
| 87 |
+
for k, v in sorted(groups.items())}
|
| 88 |
+
|
| 89 |
+
(out_dir / "summary.json").write_text(json.dumps(summary, indent=2))
|
| 90 |
+
print(json.dumps(summary, indent=2))
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
if __name__ == "__main__":
|
| 94 |
+
main()
|
bench_t2v_time_comprehensive/manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
bench_t2v_time_comprehensive/results.jsonl
ADDED
|
@@ -0,0 +1,200 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": "misc_14989515-hd_1920_1080_30fps__rain_starts", "variant": "rain_starts", "started_at": 1784590789.599874, "status": "ok", "bytes": 8945630, "inference_s": "203.375", "wall_s": 203.4}
|
| 2 |
+
{"id": "human_016__storm_approaches", "variant": "storm_approaches", "started_at": 1784590993.0048258, "status": "ok", "bytes": 10433488, "inference_s": "202.502", "wall_s": 202.5}
|
| 3 |
+
{"id": "common_sense_962e6081-fb20-412a-ba57-e5dd93d9dd03__thunderstorm_lightning", "variant": "thunderstorm_lightning", "started_at": 1784591195.5276568, "status": "ok", "bytes": 10553029, "inference_s": "202.291", "wall_s": 202.3}
|
| 4 |
+
{"id": "av_46fe9718-b496-4c30-b1b6-8b02028dd336__fog_rolls_in", "variant": "fog_rolls_in", "started_at": 1784591411.1057043, "status": "ok", "bytes": 5007011, "inference_s": "202.369", "wall_s": 202.4}
|
| 5 |
+
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| 168 |
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{"id": "av_5fcae1c8-318a-4561-8ea9-b36a54f175ba__mist_burns_off", "variant": "mist_burns_off", "started_at": 1784624612.878059, "status": "ok", "bytes": 9495459, "inference_s": "202.368", "wall_s": 202.4}
|
| 169 |
+
{"id": "human_114__day_to_night", "variant": "day_to_night", "started_at": 1784624815.2621722, "status": "ok", "bytes": 8986984, "inference_s": "202.539", "wall_s": 202.6}
|
| 170 |
+
{"id": "misc_4887279-uhd_4096_2160_25fps__night_to_day", "variant": "night_to_day", "started_at": 1784625017.8210964, "status": "ok", "bytes": 10167775, "inference_s": "202.643", "wall_s": 202.7}
|
| 171 |
+
{"id": "av_5f567f79-4dd0-413d-a81a-2607684decf2__dusk_golden_hour", "variant": "dusk_golden_hour", "started_at": 1784625220.4826567, "status": "ok", "bytes": 8782806, "inference_s": "202.492", "wall_s": 202.5}
|
| 172 |
+
{"id": "human_033__sunrise", "variant": "sunrise", "started_at": 1784625422.9919202, "status": "ok", "bytes": 5110577, "inference_s": "202.228", "wall_s": 202.2}
|
| 173 |
+
{"id": "av_495a2486-d039-46f9-86fd-4fdf8ec4ce24__sunset", "variant": "sunset", "started_at": 1784625625.2316556, "status": "ok", "bytes": 8167894, "inference_s": "202.299", "wall_s": 202.3}
|
| 174 |
+
{"id": "misc_856132-hd_1920_1080_30fps__noon_to_late_afternoon", "variant": "noon_to_late_afternoon", "started_at": 1784625827.5461812, "status": "ok", "bytes": 10116757, "inference_s": "202.367", "wall_s": 202.4}
|
| 175 |
+
{"id": "common_sense_67574e57-ed33-422c-b833-e0700e3d14ba__season_to_autumn", "variant": "season_to_autumn", "started_at": 1784626029.9315982, "status": "ok", "bytes": 10591907, "inference_s": "202.288", "wall_s": 202.3}
|
| 176 |
+
{"id": "misc_3048199-uhd_3840_2160_24fps__day_night_day", "variant": "day_night_day", "started_at": 1784626232.238529, "status": "ok", "bytes": 6595579, "inference_s": "202.317", "wall_s": 202.3}
|
| 177 |
+
{"id": "av_6ef57b52-3c45-4488-9121-0fae85bc4e48__clear_rain_clear", "variant": "clear_rain_clear", "started_at": 1784626434.5683954, "status": "ok", "bytes": 6312336, "inference_s": "202.346", "wall_s": 202.4}
|
| 178 |
+
{"id": "common_sense_718bca4c-3946-4f5b-8f82-3dbf4fba2252__clouds_time_lapse", "variant": "clouds_time_lapse", "started_at": 1784626636.926621, "status": "ok", "bytes": 6485658, "inference_s": "202.491", "wall_s": 202.5}
|
| 179 |
+
{"id": "common_sense_da81c8b9-d00d-4141-b6dc-429c770d2ff0__sun_glare_to_overcast", "variant": "sun_glare_to_overcast", "started_at": 1784626839.4311135, "status": "ok", "bytes": 10425225, "inference_s": "202.529", "wall_s": 202.5}
|
| 180 |
+
{"id": "human_178__heat_haze_shimmer", "variant": "heat_haze_shimmer", "started_at": 1784627041.9805386, "status": "ok", "bytes": 5097111, "inference_s": "202.444", "wall_s": 202.5}
|
| 181 |
+
{"id": "human_167__rain_starts", "variant": "rain_starts", "started_at": 1784627244.4364946, "status": "ok", "bytes": 9231998, "inference_s": "202.439", "wall_s": 202.5}
|
| 182 |
+
{"id": "common_sense_dcd25daf-c296-4258-9cf4-f8289fde14d3__storm_approaches", "variant": "storm_approaches", "started_at": 1784627446.895082, "status": "ok", "bytes": 11634190, "inference_s": "202.567", "wall_s": 202.6}
|
| 183 |
+
{"id": "human_184__thunderstorm_lightning", "variant": "thunderstorm_lightning", "started_at": 1784627649.4823956, "status": "ok", "bytes": 10687662, "inference_s": "202.160", "wall_s": 202.2}
|
| 184 |
+
{"id": "misc_933704-uhd_3840_2160_30fps__fog_rolls_in", "variant": "fog_rolls_in", "started_at": 1784627851.6607964, "status": "ok", "bytes": 6940744, "inference_s": "202.094", "wall_s": 202.1}
|
| 185 |
+
{"id": "misc_13019576_3840_2160_25fps__snow_starts", "variant": "snow_starts", "started_at": 1784628053.769605, "status": "ok", "bytes": 7895277, "inference_s": "202.362", "wall_s": 202.4}
|
| 186 |
+
{"id": "misc_1472012-uhd_3840_2160_30fps__blizzard", "variant": "blizzard", "started_at": 1784628256.1459944, "status": "ok", "bytes": 8256971, "inference_s": "202.593", "wall_s": 202.6}
|
| 187 |
+
{"id": "common_sense_85430ff6-fd0e-4ed4-8a37-c5869be4e020__hail_starts", "variant": "hail_starts", "started_at": 1784628458.7530663, "status": "ok", "bytes": 13977544, "inference_s": "202.513", "wall_s": 202.5}
|
| 188 |
+
{"id": "misc_9699390-uhd_3840_2160_30fps__mist_burns_off", "variant": "mist_burns_off", "started_at": 1784628661.2899399, "status": "ok", "bytes": 11653099, "inference_s": "202.363", "wall_s": 202.4}
|
| 189 |
+
{"id": "av_425f6553-6585-4dcd-b2f6-13af306f118d__day_to_night", "variant": "day_to_night", "started_at": 1784628863.670087, "status": "ok", "bytes": 6214974, "inference_s": "202.311", "wall_s": 202.3}
|
| 190 |
+
{"id": "av_ed7a0ed5-76e6-4e97-95f3-9078d4200cc4__night_to_day", "variant": "night_to_day", "started_at": 1784629065.9948406, "status": "ok", "bytes": 8681599, "inference_s": "202.382", "wall_s": 202.4}
|
| 191 |
+
{"id": "common_sense_8df9180b-b182-49ad-92e5-2d000320f9f3__dusk_golden_hour", "variant": "dusk_golden_hour", "started_at": 1784629268.3939188, "status": "ok", "bytes": 10725840, "inference_s": "202.360", "wall_s": 202.4}
|
| 192 |
+
{"id": "misc_3192197-uhd_3840_2160_25fps__sunrise", "variant": "sunrise", "started_at": 1784629470.7725914, "status": "ok", "bytes": 5673733, "inference_s": "202.153", "wall_s": 202.2}
|
| 193 |
+
{"id": "common_sense_b1e8af27-189f-4a51-9920-294298a1c790__sunset", "variant": "sunset", "started_at": 1784629672.9375052, "status": "ok", "bytes": 11575418, "inference_s": "202.404", "wall_s": 202.4}
|
| 194 |
+
{"id": "av_4b8f4171-c3ae-4648-a796-7cbd4cf36625__noon_to_late_afternoon", "variant": "noon_to_late_afternoon", "started_at": 1784629875.3633525, "status": "ok", "bytes": 8527403, "inference_s": "202.455", "wall_s": 202.5}
|
| 195 |
+
{"id": "human_185__season_to_autumn", "variant": "season_to_autumn", "started_at": 1784630077.8340976, "status": "ok", "bytes": 10684047, "inference_s": "202.340", "wall_s": 202.4}
|
| 196 |
+
{"id": "misc_1777892-hd_1280_720_25fps__day_night_day", "variant": "day_night_day", "started_at": 1784630280.1911018, "status": "ok", "bytes": 13628965, "inference_s": "202.376", "wall_s": 202.4}
|
| 197 |
+
{"id": "human_269__clear_rain_clear", "variant": "clear_rain_clear", "started_at": 1784630482.590386, "status": "ok", "bytes": 11186722, "inference_s": "202.316", "wall_s": 202.3}
|
| 198 |
+
{"id": "av_3964e5dd-6704-4e3b-896f-dd8059731b27__clouds_time_lapse", "variant": "clouds_time_lapse", "started_at": 1784630684.9259074, "status": "ok", "bytes": 8685872, "inference_s": "202.535", "wall_s": 202.6}
|
| 199 |
+
{"id": "av_accident_1_0__sun_glare_to_overcast", "variant": "sun_glare_to_overcast", "started_at": 1784630887.477513, "status": "ok", "bytes": 6009002, "inference_s": "202.273", "wall_s": 202.3}
|
| 200 |
+
{"id": "common_sense_db40245d-dade-462e-b57c-d236d2a3cf98__heat_haze_shimmer", "variant": "heat_haze_shimmer", "started_at": 1784631089.7670827, "status": "ok", "bytes": 13411363, "inference_s": "202.396", "wall_s": 202.4}
|
bench_t2v_time_comprehensive/score_claude.py
ADDED
|
@@ -0,0 +1,263 @@
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|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Sole eval signal for bench_t2v_time_comprehensive: Claude Opus 5 on Amazon
|
| 3 |
+
Bedrock, used as a VLM-as-judge over frames sampled from each generated video.
|
| 4 |
+
|
| 5 |
+
Replaces the previous two-model setup this bench borrowed from `bench_i2v_time`
|
| 6 |
+
(a local VLM reward judge + TIGER-Lab/VideoScore2, merged by `combine_v3.py`,
|
| 7 |
+
which produced the old `scores_v2`/`scores_v3` files) -- there is now exactly
|
| 8 |
+
one judge and it lives here, so there is nothing to combine; summarize.py just
|
| 9 |
+
aggregates this scorer's output.
|
| 10 |
+
|
| 11 |
+
Three axes, each 0-10 -- `time_alignment` (did the described time/weather
|
| 12 |
+
transition actually happen, in the right direction?), `quality`, `smoothness`.
|
| 13 |
+
|
| 14 |
+
Claude takes images, not video, so each video is reduced to K evenly-spaced
|
| 15 |
+
frames sent as JPEG images in one user turn. Frames are downscaled to
|
| 16 |
+
--max-side (default 768px long edge) to keep per-request image tokens
|
| 17 |
+
reasonable: Claude bills roughly (w*h)/750 tokens per image, so 8 frames at
|
| 18 |
+
768x432 is ~3.5k image tokens per video.
|
| 19 |
+
|
| 20 |
+
Requirements:
|
| 21 |
+
pip install 'anthropic[bedrock]' # boto3 is what signs the SigV4 request
|
| 22 |
+
AWS credentials resolvable the usual way (env vars, ~/.aws, instance role)
|
| 23 |
+
AWS_REGION (or --aws-region) set to a region where the model is enabled
|
| 24 |
+
|
| 25 |
+
Usage (CPU node is fine -- no local model is loaded):
|
| 26 |
+
python score_claude.py # scores outputs/videos/*.mp4
|
| 27 |
+
python score_claude.py --limit 5 # quick partial check
|
| 28 |
+
python score_claude.py --concurrency 8 # more in-flight requests
|
| 29 |
+
Output: outputs/claude_scores.jsonl (resumable -- skips ids already present).
|
| 30 |
+
"""
|
| 31 |
+
from __future__ import annotations
|
| 32 |
+
|
| 33 |
+
import argparse
|
| 34 |
+
import base64
|
| 35 |
+
import json
|
| 36 |
+
import re
|
| 37 |
+
import threading
|
| 38 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 39 |
+
from pathlib import Path
|
| 40 |
+
|
| 41 |
+
import cv2
|
| 42 |
+
import numpy as np
|
| 43 |
+
|
| 44 |
+
HERE = Path(__file__).resolve().parent
|
| 45 |
+
|
| 46 |
+
DEFAULT_MODEL = "anthropic.claude-opus-5"
|
| 47 |
+
DEFAULT_REGION = "us-east-1"
|
| 48 |
+
|
| 49 |
+
K_FRAMES = 8
|
| 50 |
+
MAX_SIDE = 768
|
| 51 |
+
JPEG_QUALITY = 90
|
| 52 |
+
MAX_TOKENS = 4000
|
| 53 |
+
|
| 54 |
+
AXES = ("time_alignment", "quality", "smoothness")
|
| 55 |
+
|
| 56 |
+
JUDGE_PROMPT_TEMPLATE = """You are a STRICT, SKEPTICAL judge of an AI-generated video against the text prompt that produced it. Most generated videos have real flaws -- assume there are problems until the frames clearly prove otherwise. Do not give credit for "close enough" or "same general vibe."
|
| 57 |
+
|
| 58 |
+
Prompt: "{prompt}"
|
| 59 |
+
|
| 60 |
+
The prompt describes a scene followed by an instructed TIME/WEATHER transition. The {k} images above are frames sampled evenly across the video's duration, in order.
|
| 61 |
+
|
| 62 |
+
Rate the video on three axes, each an integer from 0 to 10. Use the full range -- most videos should land in the 3-6 band; reserve 9-10 for videos with essentially no flaws.
|
| 63 |
+
|
| 64 |
+
time_alignment (does the described time/weather transition actually happen, in the right direction?):
|
| 65 |
+
10 = the transition clearly and correctly happens exactly as described (right direction, right end state)
|
| 66 |
+
8-9 = the transition happens correctly, at most one minor detail off (e.g. slightly under/overshooting the described end state)
|
| 67 |
+
6-7 = a transition happens and is recognizable as the right general kind (e.g. it does get darker/wetter/snowier) but is incomplete, weak, or has some wrong details
|
| 68 |
+
4-5 = little to no visible transition, or the wrong kind of change (e.g. asked for rain, got only clouds)
|
| 69 |
+
2-3 = the scene changes in some way but not toward what was described, or the requested state is contradicted
|
| 70 |
+
0-1 = no transition at all, or the opposite of what was described
|
| 71 |
+
|
| 72 |
+
Note: for a non-monotonic transition (e.g. day->night->day, clear->rain->clear) the
|
| 73 |
+
scene must reach the intermediate state AND return -- drifting one way and stopping
|
| 74 |
+
there is a 4-5, not a pass.
|
| 75 |
+
|
| 76 |
+
quality (sharpness, absence of warping/artifacts/melting geometry):
|
| 77 |
+
10 = photoreal, no visible artifacts anywhere
|
| 78 |
+
8-9 = very good, at most one small artifact on close inspection
|
| 79 |
+
6-7 = noticeable but minor artifacts (soft warping, texture smearing) that don't dominate the frame
|
| 80 |
+
4-5 = clear artifacts in multiple frames (melting geometry, garbled architectural detail, unstable structures)
|
| 81 |
+
0-3 = pervasive artifacts, badly broken in most frames
|
| 82 |
+
|
| 83 |
+
smoothness (temporal coherence across the frames -- no flicker, no discontinuities, consistent object/architecture identity):
|
| 84 |
+
10 = perfectly smooth and consistent throughout
|
| 85 |
+
8-9 = very smooth, at most one minor discontinuity
|
| 86 |
+
6-7 = mostly smooth but with a couple of noticeable jumps or identity drift
|
| 87 |
+
4-5 = frequent flicker or objects/architecture changing shape or identity between frames
|
| 88 |
+
0-3 = incoherent, frames barely relate to each other
|
| 89 |
+
|
| 90 |
+
Be honest and critical -- if you are uncertain whether a detail is correct, score it as if it is wrong, not right.
|
| 91 |
+
|
| 92 |
+
Respond with ONLY a JSON object, no other text, in exactly this form:
|
| 93 |
+
{{"time_alignment": <int 0-10>, "quality": <int 0-10>, "smoothness": <int 0-10>, "reason": "<one short sentence, naming the specific flaw if any>"}}
|
| 94 |
+
"""
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
def item_meta(it: dict) -> dict:
|
| 98 |
+
"""Manifest fields carried through onto every score record."""
|
| 99 |
+
return {"domain": it["domain"], "variant": it["variant"]}
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
# --- generic below this line -------------------------------------------------
|
| 103 |
+
|
| 104 |
+
def make_client(mode: str, region: str, max_retries: int):
|
| 105 |
+
"""Bedrock client. `mantle` is the Messages-API Bedrock endpoint and the
|
| 106 |
+
recommended path; `legacy` is the older bedrock-runtime InvokeModel path,
|
| 107 |
+
kept for accounts that only have that enabled (its model ids look like
|
| 108 |
+
`us.anthropic.claude-opus-5-v1:0` -- pass one with --model)."""
|
| 109 |
+
try:
|
| 110 |
+
from anthropic import AnthropicBedrock, AnthropicBedrockMantle
|
| 111 |
+
except ImportError as exc: # pragma: no cover
|
| 112 |
+
raise SystemExit(f"anthropic SDK not available: {exc}") from exc
|
| 113 |
+
cls = AnthropicBedrockMantle if mode == "mantle" else AnthropicBedrock
|
| 114 |
+
return cls(aws_region=region, max_retries=max_retries)
|
| 115 |
+
|
| 116 |
+
|
| 117 |
+
def sample_frames(video_path: Path, k: int) -> list[np.ndarray]:
|
| 118 |
+
"""K evenly-spaced BGR frames across the whole video."""
|
| 119 |
+
cap = cv2.VideoCapture(str(video_path))
|
| 120 |
+
n = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
|
| 121 |
+
if n <= 0:
|
| 122 |
+
cap.release()
|
| 123 |
+
raise RuntimeError(f"no frames read from {video_path}")
|
| 124 |
+
frames = []
|
| 125 |
+
for i in np.linspace(0, n - 1, num=min(k, n), dtype=int):
|
| 126 |
+
cap.set(cv2.CAP_PROP_POS_FRAMES, int(i))
|
| 127 |
+
ok, frame = cap.read()
|
| 128 |
+
if ok:
|
| 129 |
+
frames.append(frame)
|
| 130 |
+
cap.release()
|
| 131 |
+
if not frames:
|
| 132 |
+
raise RuntimeError(f"no frames decoded from {video_path}")
|
| 133 |
+
return frames
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
def encode_jpeg(frame_bgr: np.ndarray, max_side: int) -> str:
|
| 137 |
+
h, w = frame_bgr.shape[:2]
|
| 138 |
+
scale = max_side / max(h, w)
|
| 139 |
+
if scale < 1:
|
| 140 |
+
frame_bgr = cv2.resize(frame_bgr, (int(w * scale), int(h * scale)),
|
| 141 |
+
interpolation=cv2.INTER_AREA)
|
| 142 |
+
ok, buf = cv2.imencode(".jpg", frame_bgr, [int(cv2.IMWRITE_JPEG_QUALITY), JPEG_QUALITY])
|
| 143 |
+
if not ok:
|
| 144 |
+
raise RuntimeError("cv2.imencode failed")
|
| 145 |
+
return base64.standard_b64encode(buf.tobytes()).decode("ascii")
|
| 146 |
+
|
| 147 |
+
|
| 148 |
+
def parse_judge_json(text: str) -> dict:
|
| 149 |
+
"""Pull the JSON object out of the judge's reply and clamp the axes."""
|
| 150 |
+
m = re.search(r"\{.*\}", text, re.S)
|
| 151 |
+
if not m:
|
| 152 |
+
raise ValueError(f"no JSON object found in judge output: {text[:200]!r}")
|
| 153 |
+
obj = json.loads(m.group(0))
|
| 154 |
+
for axis in AXES:
|
| 155 |
+
obj[axis] = max(0.0, min(10.0, float(obj[axis])))
|
| 156 |
+
return obj
|
| 157 |
+
|
| 158 |
+
|
| 159 |
+
def judge_video(client, model: str, effort: str, prompt: str,
|
| 160 |
+
video_path: Path, k_frames: int, max_side: int) -> dict:
|
| 161 |
+
frames = sample_frames(video_path, k_frames)
|
| 162 |
+
content = [
|
| 163 |
+
{"type": "image", "source": {"type": "base64", "media_type": "image/jpeg",
|
| 164 |
+
"data": encode_jpeg(f, max_side)}}
|
| 165 |
+
for f in frames
|
| 166 |
+
]
|
| 167 |
+
content.append({"type": "text",
|
| 168 |
+
"text": JUDGE_PROMPT_TEMPLATE.format(prompt=prompt, k=len(frames))})
|
| 169 |
+
|
| 170 |
+
response = client.messages.create(
|
| 171 |
+
model=model,
|
| 172 |
+
max_tokens=MAX_TOKENS,
|
| 173 |
+
thinking={"type": "adaptive"},
|
| 174 |
+
output_config={"effort": effort},
|
| 175 |
+
messages=[{"role": "user", "content": content}],
|
| 176 |
+
)
|
| 177 |
+
if response.stop_reason == "refusal":
|
| 178 |
+
category = getattr(response.stop_details, "category", None)
|
| 179 |
+
raise RuntimeError(f"model refused (category={category})")
|
| 180 |
+
text = "".join(b.text for b in response.content if b.type == "text")
|
| 181 |
+
if not text.strip():
|
| 182 |
+
raise RuntimeError(f"empty response (stop_reason={response.stop_reason})")
|
| 183 |
+
return parse_judge_json(text)
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
def parse_args() -> argparse.Namespace:
|
| 187 |
+
p = argparse.ArgumentParser(description="Score bench_t2v_time_comprehensive with Claude Opus 5 on Bedrock.")
|
| 188 |
+
p.add_argument("--manifest", default=str(HERE / "manifest.json"))
|
| 189 |
+
p.add_argument("--videos-dir", default=str(HERE / "outputs" / "videos"))
|
| 190 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 191 |
+
p.add_argument("--model", default=DEFAULT_MODEL)
|
| 192 |
+
p.add_argument("--aws-region", default=None,
|
| 193 |
+
help=f"defaults to $AWS_REGION, else {DEFAULT_REGION}")
|
| 194 |
+
p.add_argument("--bedrock-mode", choices=("mantle", "legacy"), default="mantle")
|
| 195 |
+
p.add_argument("--effort", choices=("low", "medium", "high", "xhigh", "max"), default="medium")
|
| 196 |
+
p.add_argument("--limit", type=int, default=None)
|
| 197 |
+
p.add_argument("--k-frames", type=int, default=K_FRAMES)
|
| 198 |
+
p.add_argument("--max-side", type=int, default=MAX_SIDE)
|
| 199 |
+
p.add_argument("--concurrency", type=int, default=4)
|
| 200 |
+
p.add_argument("--max-retries", type=int, default=5)
|
| 201 |
+
return p.parse_args()
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
def main() -> None:
|
| 205 |
+
import os
|
| 206 |
+
|
| 207 |
+
args = parse_args()
|
| 208 |
+
region = args.aws_region or os.environ.get("AWS_REGION") or DEFAULT_REGION
|
| 209 |
+
|
| 210 |
+
manifest = json.load(open(args.manifest))
|
| 211 |
+
items = manifest["items"]
|
| 212 |
+
if args.limit is not None:
|
| 213 |
+
items = items[: args.limit]
|
| 214 |
+
|
| 215 |
+
videos_dir = Path(args.videos_dir)
|
| 216 |
+
out_dir = Path(args.out_dir)
|
| 217 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 218 |
+
scores_path = out_dir / "claude_scores.jsonl"
|
| 219 |
+
already = set()
|
| 220 |
+
if scores_path.exists():
|
| 221 |
+
for line in scores_path.read_text().splitlines():
|
| 222 |
+
if line.strip():
|
| 223 |
+
already.add(json.loads(line)["id"])
|
| 224 |
+
|
| 225 |
+
todo = [it for it in items if it["id"] not in already]
|
| 226 |
+
print(f"{len(items)} items, {len(already)} already scored, {len(todo)} to score")
|
| 227 |
+
print(f"judge: {args.model} via bedrock ({args.bedrock_mode}, region={region}, effort={args.effort})")
|
| 228 |
+
|
| 229 |
+
client = make_client(args.bedrock_mode, region, args.max_retries)
|
| 230 |
+
write_lock = threading.Lock()
|
| 231 |
+
counter = {"n": 0}
|
| 232 |
+
|
| 233 |
+
def work(it: dict) -> None:
|
| 234 |
+
video_path = videos_dir / f"{it['id']}.mp4"
|
| 235 |
+
meta = {"id": it["id"], **item_meta(it)}
|
| 236 |
+
if not video_path.exists():
|
| 237 |
+
with write_lock:
|
| 238 |
+
counter["n"] += 1
|
| 239 |
+
print(f"[{counter['n']}/{len(todo)}] SKIP {it['id']}: video not found")
|
| 240 |
+
return
|
| 241 |
+
try:
|
| 242 |
+
judge = judge_video(client, args.model, args.effort, it["prompt"],
|
| 243 |
+
video_path, args.k_frames, args.max_side)
|
| 244 |
+
record = {**meta, **{axis: judge[axis] for axis in AXES},
|
| 245 |
+
"reason": judge.get("reason", "")}
|
| 246 |
+
line = " ".join(f"{axis.split('_')[0]}={judge[axis]:.0f}" for axis in AXES)
|
| 247 |
+
except Exception as exc:
|
| 248 |
+
record = {**meta, "error": f"{type(exc).__name__}: {exc}"[:300]}
|
| 249 |
+
line = f"ERROR {exc}"
|
| 250 |
+
with write_lock:
|
| 251 |
+
counter["n"] += 1
|
| 252 |
+
print(f"[{counter['n']}/{len(todo)}] {it['id']}: {line}", flush=True)
|
| 253 |
+
with open(scores_path, "a") as f:
|
| 254 |
+
f.write(json.dumps(record) + "\n")
|
| 255 |
+
|
| 256 |
+
with ThreadPoolExecutor(max_workers=max(1, args.concurrency)) as pool:
|
| 257 |
+
list(pool.map(work, todo))
|
| 258 |
+
|
| 259 |
+
print(f"done -> {scores_path}")
|
| 260 |
+
|
| 261 |
+
|
| 262 |
+
if __name__ == "__main__":
|
| 263 |
+
main()
|
bench_t2v_time_comprehensive/summarize.py
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 2 |
+
"""Aggregate score_claude.py output into a per-video score file and a summary.
|
| 3 |
+
|
| 4 |
+
Claude Opus 5 is the only judge, so the score is just the mean of the three
|
| 5 |
+
rubric axes:
|
| 6 |
+
|
| 7 |
+
score = mean(time_alignment, quality, smoothness) / 10
|
| 8 |
+
pass = time_alignment >= 8 and quality >= 7
|
| 9 |
+
|
| 10 |
+
Thresholds match the other benches in this directory: time_alignment >= 8 means
|
| 11 |
+
the transition landed on the described end state, not merely drifted toward it.
|
| 12 |
+
|
| 13 |
+
Usage:
|
| 14 |
+
python summarize.py
|
| 15 |
+
python summarize.py --out-dir outputs
|
| 16 |
+
Output: outputs/scores.jsonl (per-video) + outputs/summary.json.
|
| 17 |
+
"""
|
| 18 |
+
from __future__ import annotations
|
| 19 |
+
|
| 20 |
+
import argparse
|
| 21 |
+
import json
|
| 22 |
+
from pathlib import Path
|
| 23 |
+
|
| 24 |
+
import numpy as np
|
| 25 |
+
|
| 26 |
+
HERE = Path(__file__).resolve().parent
|
| 27 |
+
|
| 28 |
+
AXES = ("time_alignment", "quality", "smoothness")
|
| 29 |
+
GROUP_KEYS = ("variant", "domain")
|
| 30 |
+
|
| 31 |
+
PASS_TIME_ALIGNMENT = 8.0
|
| 32 |
+
PASS_QUALITY = 7.0
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def passed(r: dict) -> bool:
|
| 36 |
+
return r["time_alignment"] >= PASS_TIME_ALIGNMENT and r["quality"] >= PASS_QUALITY
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
# --- generic below this line -------------------------------------------------
|
| 40 |
+
|
| 41 |
+
def parse_args() -> argparse.Namespace:
|
| 42 |
+
p = argparse.ArgumentParser(description="Summarize Claude judge scores.")
|
| 43 |
+
p.add_argument("--out-dir", default=str(HERE / "outputs"))
|
| 44 |
+
return p.parse_args()
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
def load_jsonl(path: Path) -> list[dict]:
|
| 48 |
+
if not path.exists():
|
| 49 |
+
raise SystemExit(f"missing {path} -- run score_claude.py first")
|
| 50 |
+
return [json.loads(l) for l in path.read_text().splitlines() if l.strip()]
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def main() -> None:
|
| 54 |
+
args = parse_args()
|
| 55 |
+
out_dir = Path(args.out_dir)
|
| 56 |
+
records = load_jsonl(out_dir / "claude_scores.jsonl")
|
| 57 |
+
|
| 58 |
+
merged = []
|
| 59 |
+
for r in sorted(records, key=lambda x: x["id"]):
|
| 60 |
+
if "error" in r:
|
| 61 |
+
merged.append({**{k: v for k, v in r.items() if k != "reason"}, "pass": False})
|
| 62 |
+
continue
|
| 63 |
+
score = sum(r[axis] for axis in AXES) / (10.0 * len(AXES))
|
| 64 |
+
merged.append({**r, "score": round(score, 4), "pass": passed(r)})
|
| 65 |
+
|
| 66 |
+
scores_path = out_dir / "scores.jsonl"
|
| 67 |
+
scores_path.write_text("\n".join(json.dumps(r) for r in merged) + "\n")
|
| 68 |
+
|
| 69 |
+
ok = [r for r in merged if "error" not in r]
|
| 70 |
+
summary = {
|
| 71 |
+
"judge": "claude-opus-5 (bedrock)",
|
| 72 |
+
"num_scored": len(merged),
|
| 73 |
+
"num_ok": len(ok),
|
| 74 |
+
"num_errors": len(merged) - len(ok),
|
| 75 |
+
"pass_rate": round(sum(r["pass"] for r in ok) / len(ok), 3) if ok else None,
|
| 76 |
+
"mean_score": round(float(np.mean([r["score"] for r in ok])), 3) if ok else None,
|
| 77 |
+
}
|
| 78 |
+
for axis in AXES:
|
| 79 |
+
summary[f"mean_{axis}"] = round(float(np.mean([r[axis] for r in ok])), 3) if ok else None
|
| 80 |
+
for key in GROUP_KEYS:
|
| 81 |
+
groups: dict = {}
|
| 82 |
+
for r in ok:
|
| 83 |
+
groups.setdefault(r[key], []).append(r["score"])
|
| 84 |
+
summary[f"mean_score_by_{key}"] = {k: round(float(np.mean(v)), 3)
|
| 85 |
+
for k, v in sorted(groups.items())}
|
| 86 |
+
|
| 87 |
+
(out_dir / "summary.json").write_text(json.dumps(summary, indent=2))
|
| 88 |
+
print(json.dumps(summary, indent=2))
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
if __name__ == "__main__":
|
| 92 |
+
main()
|