Instructions to use feizhengcong/mochi-1-preview-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use feizhengcong/mochi-1-preview-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("feizhengcong/mochi-1-preview-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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It was create by scripts: https://github.com/huggingface/diffusers/blob/main/scripts/convert_mochi_to_diffusers.py
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The model can be directly load from pretrained with mochi branch: https://github.com/huggingface/diffusers/tree/mochi
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You can directly use the zipped file branch in: https://huggingface.co/feizhengcong/mochi-1-preview-diffusers/blob/main/diffusers-mochi.zip
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It was create by scripts: https://github.com/huggingface/diffusers/blob/main/scripts/convert_mochi_to_diffusers.py
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The model can be directly load from pretrained with mochi branch: https://github.com/huggingface/diffusers/tree/mochi-t2v
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You can directly use the zipped file branch in: https://huggingface.co/feizhengcong/mochi-1-preview-diffusers/blob/main/diffusers-mochi.zip
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