Text-to-Image
MLX
Safetensors
English
Chinese
moss_image
apple-silicon
moss-image
text-rendering
layout
quantized
8-bit precision
Instructions to use VisualInference/MOSS-Image-Base-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VisualInference/MOSS-Image-Base-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/MOSS-Image-Base-MLX-8bit --local-dir MOSS-Image-Base-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Install from PyPI (moss-image-mlx 0.1.0)
Browse files
README.md
CHANGED
|
@@ -45,7 +45,7 @@ With this model, bf16 rounding alone moves an image about 23 dB, so these are di
|
|
| 45 |
## Quickstart
|
| 46 |
|
| 47 |
```bash
|
| 48 |
-
pip install
|
| 49 |
moss-mlx --model VisualInference/MOSS-Image-Base-MLX-8bit --parameters parameters.json -o sample.png # an official example, exactly
|
| 50 |
moss-mlx "a misty harbor at dawn, tag style: best quality, highres" --model VisualInference/MOSS-Image-Base-MLX-8bit --guidance 4 -o harbor.png
|
| 51 |
```
|
|
|
|
| 45 |
## Quickstart
|
| 46 |
|
| 47 |
```bash
|
| 48 |
+
pip install moss-image-mlx
|
| 49 |
moss-mlx --model VisualInference/MOSS-Image-Base-MLX-8bit --parameters parameters.json -o sample.png # an official example, exactly
|
| 50 |
moss-mlx "a misty harbor at dawn, tag style: best quality, highres" --model VisualInference/MOSS-Image-Base-MLX-8bit --guidance 4 -o harbor.png
|
| 51 |
```
|