Spaces:
Runtime error
Fix startup crash: ImportError (diffusers-export-api-drift)
Browse filesHi! This Space currently fails to start on Hugging Face with:
```
ImportError: cannot import name 'cached_download' from 'huggingface_hub' (/home/user/.pyenv/versions/3.10.15/lib/python3.10/site-packages/huggingface_hub/__init__.py)
```
**Cause.** The decisive runtime error is `ValueError: too many values to unpack (expected 3)` at `h, w, c = video_frames[0].shape` in `diffusers.utils.export_utils.export_to_video`. `pipe(...).frames` is batched as `(batch, frames, H, W, C)`, so `video_frames[0]` is 4D; the first batch must be selected before export. The build also fails on the unused `av<10.0.0` dependency, which tries to compile against missing libav headers.
**Change.** `README.md`, `requirements.txt`, `video_diffusion/damo/damo_text2_video.py`. `requirements.txt` is a lockfile resolved as of 2024-03-15 (Python 3.10), so the app runs on the library versions it was written for. `python_version` is pinned in the README to the interpreter we tested with. Nothing else is touched.
**Tested.** We rebuilt the Space with this patch the way Spaces builds it (README front-matter, `requirements.txt`, then the SDK), on an NVIDIA A10G (same GPU as a10g-small). The app started, and calling its `/generate_video_2` endpoint returned:
```
1 output file(s) (mp4), non-empty
```
The diagnosis and patch were written by [Beam](https://huggingface.co/reflection/Beam-1.0-501B-A23B) (Reflection AI's open model) as part of Space Doctor, a Build with Beam challenge project that repairs broken Spaces and only proposes fixes that pass this check. We read the diff before opening this PR. Feel free to close it if you'd rather fix it another way.
- README.md +1 -0
- requirements.txt +137 -10
- video_diffusion/damo/damo_text2_video.py +1 -1
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@@ -1,4 +1,5 @@
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---
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title: Video Diffusion WebUI
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emoji: 🏃
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colorFrom: gray
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---
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+
python_version: "3.10"
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title: Video Diffusion WebUI
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emoji: 🏃
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colorFrom: gray
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@@ -1,12 +1,139 @@
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diffusers==0.26.3
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imageio==2.9.0
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-
imageio-ffmpeg==0.4.2
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absl-py==2.1.0
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accelerate==0.28.0
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addict==2.4.0
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aiofiles==23.2.1
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altair==5.2.0
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annotated-types==0.6.0
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anyio==4.3.0
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attrs==23.2.0
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audioread==3.0.1
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authlib==1.3.0
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basicsr==1.4.2
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certifi==2024.2.2
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cffi==1.16.0
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charset-normalizer==3.3.2
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click==8.1.7
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colorama==0.4.6
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contourpy==1.2.0
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cryptography==42.0.5
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cycler==0.12.1
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decorator==5.1.1
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diffusers==0.26.3
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einops==0.7.0
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exceptiongroup==1.2.0
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facexlib==0.3.0
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fastapi==0.110.0
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ffmpy==0.3.2
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filelock==3.13.1
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filterpy==1.4.5
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fonttools==4.50.0
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fsspec==2024.3.0
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future==1.0.0
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gfpgan==1.3.8
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gradio==4.19.0
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gradio-client==0.10.0
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grpcio==1.62.1
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h11==0.14.0
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httpcore==1.0.4
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httpx==0.27.0
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huggingface-hub==0.21.4
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idna==3.6
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imageio==2.9.0
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imageio-ffmpeg==0.4.2
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importlib-metadata==7.0.2
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importlib-resources==6.3.0
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itsdangerous==2.1.2
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jinja2==3.1.3
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joblib==1.3.2
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jsonschema==4.21.1
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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lazy-loader==0.3
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librosa==0.10.1
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llvmlite==0.42.0
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lmdb==1.4.1
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markdown==3.6
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markdown-it-py==3.0.0
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markupsafe==2.1.5
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matplotlib==3.8.3
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mdurl==0.1.2
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mpmath==1.3.0
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msgpack==1.0.8
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networkx==3.2.1
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numba==0.59.0
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numpy==1.26.4
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nvidia-cublas-cu12==12.1.3.1
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nvidia-cuda-cupti-cu12==12.1.105
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nvidia-cuda-nvrtc-cu12==12.1.105
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nvidia-cuda-runtime-cu12==12.1.105
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nvidia-cudnn-cu12==8.9.2.26
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nvidia-cufft-cu12==11.0.2.54
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nvidia-curand-cu12==10.3.2.106
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nvidia-cusolver-cu12==11.4.5.107
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nvidia-cusparse-cu12==12.1.0.106
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nvidia-nccl-cu12==2.19.3
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nvidia-nvjitlink-cu12==12.4.99
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nvidia-nvtx-cu12==12.1.105
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opencv-python==4.9.0.80
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orjson==3.9.15
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packaging==24.0
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pandas==2.2.1
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pillow==10.2.0
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platformdirs==4.2.0
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pooch==1.8.1
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protobuf==5.26.0
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psutil==5.9.8
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pycparser==2.21
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pydantic==2.6.4
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pydantic-core==2.16.3
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pydub==0.25.1
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pygments==2.17.2
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-multipart==0.0.9
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| 94 |
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pytz==2024.1
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pywavelets==1.5.0
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| 96 |
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pyyaml==6.0.1
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| 97 |
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realesrgan==0.3.0
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| 98 |
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referencing==0.33.0
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regex==2023.12.25
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requests==2.31.0
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| 101 |
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rich==13.7.1
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| 102 |
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rpds-py==0.18.0
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| 103 |
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ruff==0.3.3
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| 104 |
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safetensors==0.4.2
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| 105 |
+
scikit-image==0.20.0
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| 106 |
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scikit-learn==1.4.1.post1
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| 107 |
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scipy==1.12.0
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| 108 |
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semantic-version==2.10.0
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| 109 |
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setuptools==69.2.0
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| 110 |
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shellingham==1.5.4
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| 111 |
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six==1.16.0
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| 112 |
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sniffio==1.3.1
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| 113 |
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soundfile==0.12.1
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| 114 |
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soxr==0.3.7
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| 115 |
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starlette==0.36.3
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sympy==1.12
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tb-nightly==2.17.0a20240315
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| 118 |
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tensorboard-data-server==0.7.2
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threadpoolctl==3.3.0
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tifffile==2024.2.12
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| 121 |
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tokenizers==0.15.2
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| 122 |
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tomli==2.0.1
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| 123 |
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tomlkit==0.12.0
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toolz==0.12.1
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torch==2.2.1
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torchvision==0.17.1
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tqdm==4.66.2
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transformers==4.38.2
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triton==2.2.0
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typer==0.9.0
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typing-extensions==4.10.0
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| 132 |
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tzdata==2024.1
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urllib3==2.2.1
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uvicorn==0.28.0
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| 135 |
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websockets==11.0.3
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werkzeug==3.0.1
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xformers==0.0.25
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yapf==0.40.2
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zipp==3.18.1
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@@ -42,7 +42,7 @@ class DamoText2VideoGenerator:
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width=width,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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-
).frames
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video_path = export_to_video(video)
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return video_path
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width=width,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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).frames[0]
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video_path = export_to_video(video)
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return video_path
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