Instructions to use Jinl/DiffusionNFT-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinl/DiffusionNFT-baselines with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jinl/DiffusionNFT-baselines") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload NFT baseline logs and checkpoint artifacts
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +5 -34
- README.md +72 -0
- SHA256SUMS +85 -0
- artifact_manifest.jsonl +85 -0
- experiment_provenance.csv +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/old/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/old/adapter_model.safetensors +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/optimizer.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/scaler.pt +3 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/README.md +202 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/adapter_config.json +38 -0
- logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/adapter_model.safetensors +3 -0
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---
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base_model: stabilityai/stable-diffusion-3.5-medium
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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- lora
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- diffusionnft
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- baseline
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- training-logs
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---
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# DiffusionNFT baselines
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Logs and LoRA checkpoint artifacts for **baseline experiments only**.
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Rank-aware algorithm experiments are excluded.
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Included runs:
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- `nft_sd3_geneval_2026.04.20_11.18.57`
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- `nft_sd3_geneval_2026.04.22_04.13.06`
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The archive contains 9 checkpoint directories and
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703 source files (2.489 GiB before
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media compression; 2.488 GiB of published payload).
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These are adapters for Stable Diffusion 3.5 Medium, not the base model weights.
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## Provenance and checkpoint ownership
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`experiment_provenance.csv` records the selected runs' saved Git commits,
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configurations, and baseline classification.
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The April 20 and April 22 runs record the upstream NVlabs/DiffusionNFT commit
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`cbb14f84b8312b620390dfcbe2fab69c1383b104`, with principal hyperparameters matching
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the upstream configuration. No working-tree snapshot or uncommitted diff was
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saved, so a byte-for-byte pristine source tree cannot be proved.
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Both runs recorded `logs/nft/sd3/geneval` as their checkpoint save directory.
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That directory was later reused by the April 23 run. The timestamps of
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`logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0` through `checkpoint-240`
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(every 30 steps) align with the April 20 run, indicating a likely archived copy.
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There is no explicit move record. These artifacts retain their original paths.
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**No separately identifiable April 22 checkpoints were found.**
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## Contents
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- `logs/nft_sd3_*/wandb/run-*/`: W&B binary records, configs, summaries, output
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logs, environment records, and generated-media archives for the selected runs.
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- `logs/nft/sd3_v0/geneval/`: the April 20-associated checkpoint archive,
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including LoRA, old-policy LoRA, optimizer state, and scaler state.
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- `artifact_manifest.jsonl`: payload paths, sizes, SHA-256 values, and source-file counts.
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- `SHA256SUMS`: checksums for all payload files.
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- `symlink_aliases.json`: original convenience aliases; target files are included
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once instead of duplicating `latest-run` and debug-log aliases.
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## Download and extract
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Use the Hugging Face CLI or `huggingface_hub` to download selected files.
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Generated images are preserved losslessly in `media.tar.zst` next to their
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original parent directory. With GNU tar and zstd installed:
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```bash
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sha256sum -c SHA256SUMS
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tar --zstd -xf path/to/media.tar.zst -C path/to/parent
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```
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Run checksum verification from the repository root. Original local files were
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not modified. Credential-pattern scans were performed before publication;
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redaction counts, if any, are recorded in the manifest.
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Upstream code: https://github.com/NVlabs/DiffusionNFT
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Base model: https://huggingface.co/stabilityai/stable-diffusion-3.5-medium
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f03803d7d56887fd6ffdfe387baa151c51351d61873932ab1c15798a6c0aaa91 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/README.md
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| 2 |
+
9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_config.json
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| 3 |
+
bad0e9c28f5010000a50dd862015cb8e997fe93e40afae048942d587f0c97e4c logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_model.safetensors
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| 4 |
+
9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_config.json
|
| 5 |
+
bad0e9c28f5010000a50dd862015cb8e997fe93e40afae048942d587f0c97e4c logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_model.safetensors
|
| 6 |
+
256548eece384092ee7e9366d7bee83ee835ceba8cd5212ecdf34a46ad0f766b logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/optimizer.pt
|
| 7 |
+
b30172cf14f5dbe00280d63e36224a9f28dc7a0e8b38a74ceb5eb284e84da363 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/scaler.pt
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| 8 |
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f03803d7d56887fd6ffdfe387baa151c51351d61873932ab1c15798a6c0aaa91 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/README.md
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9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_config.json
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46b045a8d9326e4b6cdcd83fa661041548d3b0796a35e48428f2325cbb66e1e3 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_model.safetensors
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9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_config.json
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c7c77d89a1bf93453e395912f61868f43a26831bf9376ac87445e069d6532ee5 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_model.safetensors
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21843e50ccf15cd47d2d7b6fa69177d6b62846ca3c4ab6124257eaf897086e09 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/optimizer.pt
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578927bb1c801cdd14af41be9b1907db16bd1c7b35d8fc1fc2779e79adb5109e logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/scaler.pt
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f03803d7d56887fd6ffdfe387baa151c51351d61873932ab1c15798a6c0aaa91 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/README.md
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9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_config.json
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2663ed17294dc945d6c3c0cc6504d73a45e2e7684cf3cbe386a9317fa8a4d434 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_model.safetensors
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9a4111365dfeef15b737e2a8fc4d34feac16ecbae8a7241d79767c69a0e8d823 logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_config.json
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4f580c0ad662e521320c9eebab207472d076cf7fa8e56d7a6ddb006e68be831d logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_model.safetensors
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|
| 73 |
+
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
+
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|
| 79 |
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| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
+
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| 84 |
+
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| 85 |
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experiment_provenance.csv
ADDED
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@@ -0,0 +1,3 @@
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+
run_name,classification,code_provenance,algorithm,git_commit,git_remote,launch_args,rank_aware_enabled,pl_version,weight_mode,mix_lambda,aux_mu,eval_num_steps,train_batch_size,num_batches_per_epoch,gradient_accumulation_steps,recorded_save_dir,last_logged_step,metadata_path,config_path,notes
|
| 2 |
+
nft_sd3_geneval_2026.04.20_11.18.57,原版NFT baseline候选,原仓库commit;未保存工作区快照,NFT baseline,cbb14f84b8312b620390dfcbe2fab69c1383b104,https://github.com/NVlabs/DiffusionNFT.git,--config config/nft.py:sd3_geneval,absent,,,,,40,9,16,16,logs/nft/sd3/geneval,251,logs/nft_sd3_geneval_2026.04.20_11.18.57/wandb/run-20260420_111901-run_20260420_5eee4cae/files/wandb-metadata.json,logs/nft_sd3_geneval_2026.04.20_11.18.57/wandb/run-20260420_111901-run_20260420_5eee4cae/files/config.yaml,remote=NVlabs/DiffusionNFT,commit=cbb14f8,主要训练/采样配置与上游一致;无代码快照或工作区diff,不能证明逐文件未改。 三次早期运行共用save_dir;现存该目录checkpoint时间对应4/23运行,不能把同路径文件归给4/20或4/22。 logs/nft/sd3_v0/geneval/checkpoints(0至240)时间与本次运行吻合,疑为归档;未发现直接迁移记录。
|
| 3 |
+
nft_sd3_geneval_2026.04.22_04.13.06,原版NFT baseline候选,原仓库commit;未保存工作区快照,NFT baseline,cbb14f84b8312b620390dfcbe2fab69c1383b104,https://github.com/NVlabs/DiffusionNFT.git,--config config/nft.py:sd3_geneval,absent,,,,,40,9,16,16,logs/nft/sd3/geneval,39,logs/nft_sd3_geneval_2026.04.22_04.13.06/wandb/run-20260422_041321-run_20260422_e483d067/files/wandb-metadata.json,logs/nft_sd3_geneval_2026.04.22_04.13.06/wandb/run-20260422_041321-run_20260422_e483d067/files/config.yaml,remote=NVlabs/DiffusionNFT,commit=cbb14f8,主要训练/采样配置与上游一致;无代码快照或工作区diff,不能证明逐文件未改。 三次早期运行共用save_dir;现存该目录checkpoint时间对应4/23运行,不能把同路径文件归给4/20或4/22。
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
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"bias": "none",
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
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"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
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"megatron_core": "megatron.core",
|
| 20 |
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"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
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"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
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"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
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"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
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"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:bad0e9c28f5010000a50dd862015cb8e997fe93e40afae048942d587f0c97e4c
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
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"base_model_class": "SD3Transformer2DModel",
|
| 5 |
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"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
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},
|
| 7 |
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"base_model_name_or_path": null,
|
| 8 |
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"bias": "none",
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
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"init_lora_weights": "gaussian",
|
| 12 |
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|
| 13 |
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"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
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|
| 16 |
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"lora_alpha": 64,
|
| 17 |
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|
| 18 |
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"megatron_config": null,
|
| 19 |
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"megatron_core": "megatron.core",
|
| 20 |
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"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
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"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:bad0e9c28f5010000a50dd862015cb8e997fe93e40afae048942d587f0c97e4c
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 2024
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
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"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
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"attn.to_q",
|
| 27 |
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"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
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"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
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"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:46b045a8d9326e4b6cdcd83fa661041548d3b0796a35e48428f2325cbb66e1e3
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
|
| 4 |
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|
| 5 |
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"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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|
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"inference_mode": true,
|
| 11 |
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|
| 12 |
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|
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|
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|
| 16 |
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|
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|
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|
| 19 |
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|
| 20 |
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"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
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"r": 32,
|
| 23 |
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"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7c77d89a1bf93453e395912f61868f43a26831bf9376ac87445e069d6532ee5
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 150529100
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-120/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:578927bb1c801cdd14af41be9b1907db16bd1c7b35d8fc1fc2779e79adb5109e
|
| 3 |
+
size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
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"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:2663ed17294dc945d6c3c0cc6504d73a45e2e7684cf3cbe386a9317fa8a4d434
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
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|
| 5 |
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|
| 6 |
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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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"r": 32,
|
| 23 |
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|
| 24 |
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"revision": null,
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| 25 |
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"target_modules": [
|
| 26 |
+
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|
| 27 |
+
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|
| 28 |
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"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 75156544
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 150529100
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-150/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63089c5c955bc24c7dfd364412d1c93d4a68705deccdf6a8150ba6b9fa44e1ad
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
|
| 16 |
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"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:60ec64abc524c4080723a94b751952a81b813eef8e19ebb92911e37672f9ab30
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:38cefc9da49ebcd63ca4f168e362f4401dce2766ebc402e0ffd5a4e8090f5743
|
| 3 |
+
size 150529100
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-180/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:894d0e48bf1444f129e12325905662a936cdeeb9fec3a46a0155b3b08f997b67
|
| 3 |
+
size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:080e2b5a6c76f5e1f5da5e9fa6e5ffa20da6ed07776330cf00ef78f832220414
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
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"base_model_name_or_path": null,
|
| 8 |
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"bias": "none",
|
| 9 |
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|
| 10 |
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"inference_mode": true,
|
| 11 |
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|
| 12 |
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|
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|
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|
| 15 |
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|
| 16 |
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|
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|
| 18 |
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"megatron_config": null,
|
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"megatron_core": "megatron.core",
|
| 20 |
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"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
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"r": 32,
|
| 23 |
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"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7135beac954f674c3d5f2d6badce4326da745e86bf2c1779f44137cbd8c323e
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| 3 |
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size 75156544
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c08680c8a2f9becaf41fa77c2e02bb45c36f3bf41f0f0ce78706ba231dbede8b
|
| 3 |
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size 150529100
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-210/scaler.pt
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d95edfafddc29cfdf91ba5a7f66102fc78aff8592f4242e5616e78a5331860f2
|
| 3 |
+
size 75156544
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/old/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
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|
| 10 |
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"inference_mode": true,
|
| 11 |
+
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|
| 12 |
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|
| 13 |
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"layers_pattern": null,
|
| 14 |
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|
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|
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|
| 17 |
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"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
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"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
+
"r": 32,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"attn.to_q",
|
| 27 |
+
"attn.to_k",
|
| 28 |
+
"attn.to_add_out",
|
| 29 |
+
"attn.add_k_proj",
|
| 30 |
+
"attn.to_v",
|
| 31 |
+
"attn.add_v_proj",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/lora/old/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:90dd50807e8fd0e8251087c1dc39c15b4357bd5f28e27efe45118ac4a25c9c17
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| 3 |
+
size 75156544
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 150529100
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-240/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
+
size 988
|
logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
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base_model: /mnt/bn/dawei2/liujin/caches/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.10.0
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "SD3Transformer2DModel",
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"parent_library": "diffusers.models.transformers.transformer_sd3"
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},
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"base_model_name_or_path": null,
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": "gaussian",
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"layer_replication": null,
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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"loftq_config": {},
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| 16 |
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"lora_alpha": 64,
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"lora_dropout": 0.0,
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| 18 |
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"megatron_config": null,
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| 19 |
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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| 25 |
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"target_modules": [
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| 26 |
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"attn.to_q",
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"attn.to_k",
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| 28 |
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"attn.to_add_out",
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"attn.add_k_proj",
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"attn.to_v",
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"attn.add_v_proj",
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"attn.to_out.0",
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"attn.add_q_proj"
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],
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"task_type": null,
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| 36 |
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"use_dora": false,
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| 37 |
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"use_rslora": false
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| 38 |
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}
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logs/nft/sd3_v0/geneval/checkpoints/checkpoint-30/lora/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:380428d3ef3c270cf529aee87ab3af71a78bd82ab0718904d7b470cb9528eec4
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size 75156544
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