Instructions to use rdsi2026/Wan2.2-I2V-A14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdsi2026/Wan2.2-I2V-A14B-Diffusers 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("rdsi2026/Wan2.2-I2V-A14B-Diffusers", 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") - Notebooks
- Google Colab
- Kaggle
Update requirements.txt
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requirements.txt
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diffusers>=0.35.0
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transformers>=4.50.0
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accelerate>=0.34.0
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torch>=2.4.0
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torchvision>=0.19.0
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safetensors>=0.4.5
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diffusers>=0.35.0
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transformers>=4.50.0
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accelerate>=0.34.0
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peft>=0.17.0
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torch>=2.4.0
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torchvision>=0.19.0
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safetensors>=0.4.5
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