Instructions to use xocialize/anima-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xocialize/anima-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir anima-mlx xocialize/anima-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,059 Bytes
4cc65ee | 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 32 33 34 35 36 37 38 39 40 41 | {
"model": "anima-mlx",
"capability": "imageGenerate",
"arch": "cosmos-predict2-2b + llm_adapter",
"license": "LicenseRef-CircleStone-NonCommercial (weights); NVIDIA Cosmos (base)",
"text_encoder": "qwen3-0.6b",
"tokenizers": {
"qwen": "Qwen/Qwen2.5-0.5B",
"t5": "t5-base"
},
"vae": "qwen-image/wan 16ch 3d-causal",
"latent_channels": 16,
"vae_spatial_downscale": 8,
"sampler": {
"type": "flow_const",
"shift": 3.0,
"multiplier": 1.0,
"sigma": "3t/(1+2t)",
"timestep_eq_sigma": true,
"cfg_range": [
4,
5
]
},
"components": {
"transformer": {
"bf16": "transformer-bf16.safetensors",
"int4": "transformer-int4.safetensors"
},
"llm_adapter": "llm_adapter-bf16.safetensors",
"text_encoder": "text_encoder-bf16.safetensors",
"vae": "vae-bf16.safetensors"
},
"footprint_bytes": {
"transformer_bf16": 3912810496,
"transformer_int4": 1380499456,
"llm_adapter_bf16": 269327360,
"text_encoder_bf16": 1192099840,
"vae_bf16": 146591206
}
} |