Instructions to use PrismLive/PrismImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PrismLive/PrismImage with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir PrismImage PrismLive/PrismImage
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
PrismImage
On-device image model for Prism Image Studio (macOS / iOS), in MLX format.
| Folder | Contents |
|---|---|
transformer/ |
4B distilled image transformer, 4-bit (group 128), with the Jason-Photo style fused in |
text_encoder/ |
Prompt encoder, 3-bit (group 128) โ also powers the app's built-in chat |
vae/ |
Image autoencoder |
tokenizer/ |
Tokenizer files |
loras/master-drawing.safetensors |
"Expressive" style LoRA, 8-bit row-wise |
The app downloads these files on first launch; nothing here needs to be fetched by hand.
Hardware compatibility
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