Instructions to use genmo/mochi-1-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use genmo/mochi-1-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("genmo/mochi-1-preview", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Genmo
How to use genmo/mochi-1-preview with Genmo:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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by JulioRoberto - opened
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language:
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- "en"
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tags:
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- video
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license:
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pipeline_tag: text-to-video
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library_name: genmo
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# Mochi 1 Preview
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tags:
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- video
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license: apache-2.0
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pipeline_tag: text-to-video
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library_name: genmo
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base_model:
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- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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# Mochi 1 Preview
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