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
File size: 347 Bytes
e7406dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"model_type": "bernini_renderer",
"architectures": ["BerniniRendererModel"],
"wan22_base": "ByteDance/Bernini-R-1.3B-Diffusers",
"skip_transformer_1": false,
"skip_transformer_2": true,
"switch_dit_boundary": 0,
"max_sequence_length": 512,
"shift": 3.0,
"use_unipc": true,
"use_src_id_rotary_emb": true
}
|