Instructions to use SceneWorks/kolors-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/kolors-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir kolors-mlx SceneWorks/kolors-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Kolors โ MLX quantization tiers (SceneWorks)
Pre-quantized MLX turnkey tiers of Kwai-Kolors/Kolors-diffusers
for the SceneWorks native (mlx-gen) runtime. Each tier subdir is a self-contained snapshot โ SDXL-style
U-Net + ChatGLM3-6B text encoder + SDXL VAE + baked fast tokenizer โ that loads packed, with no
dense transient and no install-time conversion peak.
| Tier | Subdir | Size | Notes |
|---|---|---|---|
| Q4 (default) | q4/ |
~6.0 GiB | U-Net + ChatGLM3 packed 4-bit; dense VAE |
| Q8 | q8/ |
~9.7 GiB | U-Net + ChatGLM3 packed 8-bit; dense VAE |
| bf16 | bf16/ |
~17 GiB | dense 16-bit weights |
Quantization: group-wise affine, group size 64, weight-only, byte-identical to the runtime's
load-time seam. The VAE is never quantized (it runs f32). The fast tokenizer.json is derived from the
ChatGLM3 slow tokenizer (SceneWorks/kolors-chatglm3-tokenizer)
and baked into each tier.
License & attribution
Model weights are Kolors, ยฉ Kwai-Kolors, under the Kolors Model License Agreement โ see
LICENSE (verbatim). Commercial use requires a separate license from the original licensor.
Re-hosted by SceneWorks for runtime provisioning; the license and its use-restrictions travel with the
weights and bind downstream recipients (per ยง3(a) of the license).
Quantized
Model tree for SceneWorks/kolors-mlx
Base model
Kwai-Kolors/Kolors-diffusers