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--- |
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base_model: |
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- tencent/HunyuanVideo-I2V |
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library_name: diffusers |
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--- |
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Unofficial community fork for Diffusers-format weights on [`tencent/HunyuanVideo-I2V`](https://huggingface.co/tencent/HunyuanVideo-I2V). |
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### Using Diffusers |
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HunyuanVideo-I2V can be used directly from Diffusers. Install the latest version of Diffusers. |
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```python |
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import torch |
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from diffusers import HunyuanVideoImageToVideoPipeline, HunyuanVideoTransformer3DModel |
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from diffusers.utils import load_image, export_to_video |
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model_id = "hunyuanvideo-community/HunyuanVideo-I2V" |
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transformer = HunyuanVideoTransformer3DModel.from_pretrained( |
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model_id, subfolder="transformer", torch_dtype=torch.bfloat16 |
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) |
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pipe = HunyuanVideoImageToVideoPipeline.from_pretrained( |
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model_id, transformer=transformer, torch_dtype=torch.float16 |
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) |
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pipe.vae.enable_tiling() |
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pipe.to("cuda") |
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prompt = "A man with short gray hair plays a red electric guitar." |
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image = load_image( |
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"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" |
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) |
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output = pipe(image=image, prompt=prompt).frames[0] |
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export_to_video(output, "output.mp4", fps=15) |
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``` |
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Refer to the [documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video) for more information. |
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