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
| { | |
| "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 | |
| } | |
| } |