Instructions to use HanLiii/mochi-1-preview-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HanLiii/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("HanLiii/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
- Xet hash:
- a524f7df616ce5759052fd6d49c48797ae184d8532d3ef16ff492e2f4acf3a4a
- Size of remote file:
- 909 MB
- SHA256:
- 6e6dcb26d74c66e083ed48638cd2831db32b085295d689ae0fef8a9017ae3a04
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