Instructions to use MIN-Lab/minWM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MIN-Lab/minWM 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("MIN-Lab/minWM", 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 HY15/TI2V/ar_diffusion_tf/config.json
Browse files
HY15/TI2V/ar_diffusion_tf/config.json
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@@ -39,6 +39,5 @@
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"ideal_resolution": "480p",
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"ideal_task": "i2v",
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"_class_name": "ARHunyuanVideo_1_5_DiffusionTransformer",
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"_diffusers_version": "0.35.0"
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"_name_or_path": "/mnt/vepfs/base2/zhouzihan/.cache/huggingface/hub/models--tencent--HunyuanVideo-1.5/snapshots/9b49404b3f5df2a8f0b31df27a0c7ab872e7b038/transformer/480p_i2v"
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}
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"ideal_resolution": "480p",
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"ideal_task": "i2v",
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"_class_name": "ARHunyuanVideo_1_5_DiffusionTransformer",
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"_diffusers_version": "0.35.0"
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}
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