Video-to-Video
PEFT
Safetensors
Wan2.2
English
Chinese
wan-fun
controlnet
depth-control
lora
dmd
non-ar
four-step
cfg-free
cfg1
train-cfg4
rgs3
step1600
rank64
Instructions to use Perflow-Shuai/WAN-Fun-LoRA-5B-Control-TrainCFG4-4Step-CFG1-step1600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Perflow-Shuai/WAN-Fun-LoRA-5B-Control-TrainCFG4-4Step-CFG1-step1600 with PEFT:
Task type is invalid.
- Wan2.2
How to use Perflow-Shuai/WAN-Fun-LoRA-5B-Control-TrainCFG4-4Step-CFG1-step1600 with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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| "benchmark": { | |
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| "contemporaneous_legacy": { | |
| "commit": "1b84911a64d9d73c3267fa74baa640fab336b7e0", | |
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| }, | |
| "repository": "https://github.com/SHI-Labs/physical-ai-bench" | |
| }, | |
| "condition": "Depth", | |
| "diversity_videos_per_variant": 3600, | |
| "main_cases": 600, | |
| "metric_definitions": { | |
| "blur_ssim": "SSIM between bilaterally blurred source and generated RGB videos; higher is better and it is not a sharpness score", | |
| "depth_si_rmse": "Median-scale-aligned depth RMSE per frame using Video Depth Anything estimates; lower is better", | |
| "diversity": "Mean VGG-LPIPS over 30 ordered pairs from six prompts sharing one Depth control; higher means more variation", | |
| "edge_f1": "F1 between Canny edge maps over all video pixels; higher is better", | |
| "mask_miou": "Prompt-grounded SAM2 mask IoU after Hungarian matching; higher is better", | |
| "quality_score": "DOVER technical video quality score; higher is better" | |
| }, | |
| "protocol": { | |
| "diversity_evaluator": "current", | |
| "lora_checkpoint_sha256": "47f94f7fc85ed53b5480b28c2bfa3a05659bcf4aeb1278004c0860224787e78a", | |
| "main_evaluator": "legacy", | |
| "output_fps": 24, | |
| "run_contract_sha256": "0fa06f59d3f8a54041ffd9d0982f4f3608fdd6d3fa024bc9d4e7dde403aaf489", | |
| "shared_frames": 121, | |
| "shared_seed": 43 | |
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| "resolution_buckets": [ | |
| { | |
| "count": 200, | |
| "generation": "640x480", | |
| "input": "640x480", | |
| "source": "AgiBot" | |
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| { | |
| "count": 195, | |
| "generation": "1280x704", | |
| "input": "1280x720", | |
| "source": "OpenDV" | |
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| "generation": "1280x672", | |
| "input": "1920x1016", | |
| "source": "OpenDV" | |
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| "generation": "1280x544", | |
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| { | |
| "count": 200, | |
| "generation": "1280x704", | |
| "input": "1920x1080", | |
| "source": "Ego-Exo4D" | |
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| ], | |
| "rows": [ | |
| { | |
| "classification": "official_quoted_not_locally_measured", | |
| "id": "official_reported", | |
| "label": "Wan2.2-Fun-5B-Control (official leaderboard)", | |
| "metrics": { | |
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| "depth_si_rmse": 1.819, | |
| "diversity": 0.481, | |
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| "quality_score": 9.317 | |
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| "protocol": "\u5b98\u65b9 leaderboard\uff1b\u914d\u7f6e\u672a\u62ab\u9732" | |
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| { | |
| "classification": "local_measured", | |
| "id": "local_multistep", | |
| "label": "Wan2.2-Fun-5B-Control (local multistep)", | |
| "metrics": { | |
| "blur_ssim": 0.5572094391287489, | |
| "depth_si_rmse": 4.836493481093092, | |
| "diversity": 0.4744977790738146, | |
| "edge_f1": 0.09937129978006591, | |
| "mask_miou": 0.6002169333646695, | |
| "quality_score": 8.961508704821268 | |
| }, | |
| "protocol": "\u672c\u5730 40-step \u00b7 CFG 6 \u00b7 TeaCache" | |
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| { | |
| "classification": "local_measured", | |
| "id": "base4_cfgfree", | |
| "label": "Wan2.2-Fun-5B-Control (local direct 4-step)", | |
| "metrics": { | |
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| "diversity": 0.24838090770112145, | |
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| "mask_miou": 0.636834080417951, | |
| "quality_score": 8.89601070801417 | |
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| "protocol": "\u672c\u5730 4-step \u00b7 CFG-free \u00b7 no LoRA" | |
| }, | |
| { | |
| "classification": "local_measured", | |
| "id": "lora1600_4step_cfgfree", | |
| "label": "Wan2.2-Fun-5B-Control + DMD LoRA step 1600 (4-step)", | |
| "metrics": { | |
| "blur_ssim": 0.5439233481351533, | |
| "depth_si_rmse": 1.8050484347511278, | |
| "diversity": 0.4581396648420228, | |
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| "mask_miou": 0.5890168254077435, | |
| "quality_score": 9.290268224477767 | |
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| "protocol": "\u672c\u5730 4-step \u00b7 CFG-free \u00b7 LoRA step 1600" | |
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| ] | |
| } | |