Image-to-Video
Diffusers
Safetensors
MLX
mflux
mlx-gen
bernini_renderer
apple-silicon
bf16
bernini
wan
video-generation
video-editing
reference-to-video
Instructions to use AbstractFramework/bernini-r-1.3B-diffusers-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/bernini-r-1.3B-diffusers-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir bernini-r-1.3B-diffusers-bf16 AbstractFramework/bernini-r-1.3B-diffusers-bf16
- mflux
How to use AbstractFramework/bernini-r-1.3B-diffusers-bf16 with mflux:
# 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- dc1aa1312abfae137f5027bba32255b5b00a18106513c6ad3e2a55475f1fb4a0
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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