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] hf download AbstractFramework/bernini-r-1.3B-diffusers-bf16 --local-dir 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
Download vae/diffusion_pytorch_model.safetensors from AbstractFramework/bernini-r-1.3B-diffusers-bf16: direct link, hf CLI and curl.
- Browser
- Download file 508 MB
-
https://huggingface.co/AbstractFramework/bernini-r-1.3B-diffusers-bf16/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://AbstractFramework/bernini-r-1.3B-diffusers-bf16/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/AbstractFramework/bernini-r-1.3B-diffusers-bf16/resolve/main/vae/diffusion_pytorch_model.safetensors
508 MB
- Xet hash:
- 168eb9d382320e4b39566f51af1512a5e7450f0aefd140679d4525a3b73f021c
- Size of remote file:
- 508 MB
- SHA256:
- d6e524b3fffede1787a74e81b30976dce5400c4439ba64222168e607ed19e793
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