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mit-han-lab
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svdquant-models

Text-to-Image
Diffusers
English
SVDQuant
FLUX.1-dev
INT4
FLUX.1
Diffusion
Quantization
LoRA
Model card Files Community
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Update README.md

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@@ -14,6 +14,11 @@ language:
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  - en
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  base_model:
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  - mit-han-lab/svdq-int4-flux.1-dev
 
 
 
 
 
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  pipeline_tag: text-to-image
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  datasets:
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  - mit-han-lab/svdquant-datasets
@@ -31,6 +36,7 @@ library_name: diffusers
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  <a href='https://hanlab.mit.edu/projects/svdquant'>[Website]</a>&ensp;
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  <a href='https://hanlab.mit.edu/blog/svdquant'>[Blog]</a>
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  </div>
 
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  ![teaser](https://github.com/mit-han-lab/nunchaku/raw/refs/heads/main/assets/lora.jpg)
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  SVDQuant seamlessly integrates with off-the-shelf LoRAs without requiring re-quantization. When applying LoRAs, it matches the image quality of the original 16-bit FLUX.1-dev.
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  - en
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  base_model:
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  - mit-han-lab/svdq-int4-flux.1-dev
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+ - XLabs-AI/flux-RealismLora
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+ - aleksa-codes/flux-ghibsky-illustration
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+ - alvdansen/sonny-anime-fixed
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+ - Shakker-Labs/FLUX.1-dev-LoRA-Children-Simple-Sketch
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+ - linoyts/yarn_art_Flux_LoRA
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  pipeline_tag: text-to-image
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  datasets:
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  - mit-han-lab/svdquant-datasets
 
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  <a href='https://hanlab.mit.edu/projects/svdquant'>[Website]</a>&ensp;
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  <a href='https://hanlab.mit.edu/blog/svdquant'>[Blog]</a>
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  </div>
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+
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  ![teaser](https://github.com/mit-han-lab/nunchaku/raw/refs/heads/main/assets/lora.jpg)
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  SVDQuant seamlessly integrates with off-the-shelf LoRAs without requiring re-quantization. When applying LoRAs, it matches the image quality of the original 16-bit FLUX.1-dev.
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