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
Upload 6 files
Browse files
tokenizer/spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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vae/diffusion_pytorch_model.safetensors
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oid sha256:53e928d4ac8eeb0607f39b708ca8edcbddff09430c72fa26adce5ccb123fd187
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size 725072694
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