Instructions to use iky1e/moebius-ft-celebahq-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use iky1e/moebius-ft-celebahq-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir moebius-ft-celebahq-mlx-q4 iky1e/moebius-ft-celebahq-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "conditioningIDs": 20, | |
| "files": { | |
| "unet": "unet.safetensors", | |
| "unetQuantized": "unet_quantized.safetensors", | |
| "vaeDecoder": "vae_decoder.safetensors", | |
| "vaeEncoder": "vae_encoder.safetensors" | |
| }, | |
| "formatVersion": 1, | |
| "imageSize": 512, | |
| "latentChannels": 4, | |
| "latentSize": 64, | |
| "maskChannels": 1, | |
| "modelName": "ft_celebahq", | |
| "noiseOffset": 0.0357, | |
| "precision": "q4", | |
| "scalingFactor": 0.13025, | |
| "scheduler": { | |
| "betaEnd": 0.012, | |
| "betaSchedule": "scaled_linear", | |
| "betaStart": 0.00085, | |
| "clipSample": false, | |
| "trainTimesteps": 1000 | |
| }, | |
| "sourceCheckpoint": "Moebius-Models/ft_celebahq/diffusion_pytorch_model.bin" | |
| } | |