Instructions to use dhairyashil/FLUX.1-schnell-mflux-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use dhairyashil/FLUX.1-schnell-mflux-8bit 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
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 90deeca
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README.md
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[](https://huggingface.co/black-forest-labs/FLUX.1-schnell)
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A 8-bit quantized version of the [FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) text-to-image model from Black Forest Labs, implemented using the [mflux](https://github.com/filipstrand/mflux) (version 0.6.2) quantization approach.
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## Overview
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```
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### Comparison Output
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The images generated from above prompt for different models are shown
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fp16 and 8-bit results look visibly almost the same, with the 8-bit version maintaining excellent quality while using significantly less memory.
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[](https://huggingface.co/black-forest-labs/FLUX.1-schnell)
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A 8-bit quantized version of the [FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) text-to-image model from Black Forest Labs, implemented using the [mflux](https://github.com/filipstrand/mflux) (version 0.6.2) quantization approach.
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## Overview
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```
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### Comparison Output
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The images generated from above prompt for different models are shown at the top.
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fp16 and 8-bit results look visibly almost the same, with the 8-bit version maintaining excellent quality while using significantly less memory.
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