Image-to-Video
Diffusers
Safetensors
Wan2.2
English
Chinese
WanPipeline
video-generation
visual-reasoning
reinforcement-learning
rlvr
vbvr-pro
Instructions to use Video-Reason/VBVR-Pro-Wan2.2-TI2V-5B-RLVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Video-Reason/VBVR-Pro-Wan2.2-TI2V-5B-RLVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Video-Reason/VBVR-Pro-Wan2.2-TI2V-5B-RLVR", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Wan2.2
How to use Video-Reason/VBVR-Pro-Wan2.2-TI2V-5B-RLVR 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
Commit History
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Align model card style with VBVR-Pro releases (#2)
- Align model card style with VBVR-Pro releases (9cb36fd5a1e12742a285b9e8bca80c5ca1b4df23)019fa77 -
Update model ID after organization transfer (#1)
- Update model ID after organization transfer (46366f49f577a1ea49989bbbde69477361b8e144)23e1716 -
Update model card for renamed model
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Update README.md
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Add Flow-CPS and matched sampler pipeline
Verified signatureAdd a Diffusers custom image-to-video pipeline for CPS 0.1/0.3/0.7/0.9, FlowMatch Euler, and UniPC. Update the model card with runnable loading examples, paper-matched settings, and sampler results.003373e -
Update release code and training dataset links
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Add files using upload-large-folder tool
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initial commit
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