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Control loras are controlnets where some of the weights are stored in "lora" format: an up and a down low rank matrice that when multiplied together and added to the unet weight give the controlnet weight. This allows a much smaller memory footprint depending on the rank of the matrices. These controlnets are used just like regular ones. |
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| .. | ||
| diffusionmodules | ||
| distributions | ||
| encoders | ||
| attention.py | ||
| ema.py | ||
| sub_quadratic_attention.py | ||