Text-to-Image
mflux
MLX
English
apple-silicon
image-editing
image-to-image
grounding
lora
experimental
4-bit precision
Instructions to use saggamer/horizon-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use saggamer/horizon-1 with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use saggamer/horizon-1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download saggamer/horizon-1 --local-dir horizon-1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/creativity_conversion.json from saggamer/horizon-1: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/saggamer/horizon-1/resolve/main/evaluation/creativity_conversion.json
- Command line
-
hf download hf://saggamer/horizon-1/evaluation/creativity_conversion.json
-
curl -L -o creativity_conversion.json https://huggingface.co/saggamer/horizon-1/resolve/main/evaluation/creativity_conversion.json
166 Bytes
| { | |
| "passed": true, | |
| "bridge_values_preserved": true, | |
| "lora_bytes_unchanged": true, | |
| "bridge_max_absolute_error": 7.450580596923828e-09, | |
| "mode": "creativity" | |
| } | |