Instructions to use yanboding/MTVCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanboding/MTVCrafter 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("yanboding/MTVCrafter", 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 MV-DiT/CogVideoX/config.json
#2
by dinethja - opened
MV-DiT/CogVideoX/config.json
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"dropout": 0.0,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels":
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"max_text_seq_length": 226,
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"motion_dim": 312,
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"norm_elementwise_affine": true,
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"dropout": 0.0,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 16,
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"max_text_seq_length": 226,
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"motion_dim": 312,
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"norm_elementwise_affine": true,
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