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
File size: 671 Bytes
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"passed": true,
"device": "Apple M4",
"bits": 4,
"cases": [
{
"prompt": "Put a butterfly on the dog.",
"shape": [
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],
"valid_tokens": 19,
"finite": true,
"seconds": 0.9920290829977603
},
{
"prompt": "Put a butterfly on the chair.",
"shape": [
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],
"valid_tokens": 19,
"finite": true,
"seconds": 0.5484413750018575
},
{
"prompt": "",
"shape": [
1,
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],
"valid_tokens": 12,
"finite": true,
"seconds": 0.5536014590034029
}
]
}
|