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* Quantized version of flux. * More generic sampling. * Hook the quantized model. * Use the newly minted gguf file. * Fix for the quantized model. * Default to avoid the faster cuda kernels.
20 lines
673 B
Markdown
20 lines
673 B
Markdown
# candle-flux: image generation with latent rectified flow transformers
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Flux is a 12B rectified flow transformer capable of generating images from text
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descriptions,
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[huggingface](https://huggingface.co/black-forest-labs/FLUX.1-schnell),
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[github](https://github.com/black-forest-labs/flux),
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[blog post](https://blackforestlabs.ai/announcing-black-forest-labs/).
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## Running the model
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```bash
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cargo run --features cuda --example flux -r -- \
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--height 1024 --width 1024 \
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--prompt "a rusty robot walking on a beach holding a small torch, the robot has the word "rust" written on it, high quality, 4k"
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```
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