Instructions to use SceneWorks/bernini-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/bernini-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir bernini-mlx SceneWorks/bernini-mlx
- Wan2.2
How to use SceneWorks/bernini-mlx with Wan2.2:
# 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
File size: 829 Bytes
8375dc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"boundary_ratio": 0.417,
"clip_diff_cfg": {
"diffusion_batch_mul": 16,
"model_type": "flow_match",
"shift": 2.0,
"target_channels": 3584,
"width": 4096,
"z_channels": 3584
},
"connector_cfg": {
"enable_gen_branch": true,
"enable_vit_branch": true,
"gen_head_type": "zerolinear",
"model_type": "MLPConnector",
"out_dim_for_gen": 4096,
"out_dim_for_vit": 3584,
"zero_init_proj_gen_last": true
},
"feature_type_from_stage_one": "masked_tgt_embed_with_qwen_txt_vit_tokens",
"interpolate_src_id": true,
"max_sequence_length": 512,
"max_trained_src_id": 5,
"num_mask_token": 4096,
"shift": 3.0,
"switch_dit_boundary": 0.875,
"t5_combine_type": "concat_with_zero_init",
"t5_max_sequence_length": 512,
"target_fps": 16,
"use_src_id_rotary_emb": true
} |