中文版Readme This repository provides a 8 step distilled lora for FLUX.1 dev model released by AlimamaCreative Team. Description This checkpoint is a 8 step distilled Lora, trained based on FLUX.1 dev model. We use a multi head discriminator to improve the distill quality. Our model can be used for T2I, inpainting controlnet and other FLUX related models. The recommended guidance scale=3.5 and lora scale=1. Our Lower steps version will release later. Text to Image. With alimama creative/FLUX.1 dev Controlnet Inpainting Beta. Our distilled lora can be well adapted to the Inpainting controlnet, and the accelerated generated effect can follow the original output well. How to use diffusers This model can be used ditrectly with diffusers comfyui T2I turbo workflow: click here Inpainting controlnet turbo workflow: click here Training Details The model is trained on 1M open source and internal sources images, with the aesthetic 6.3+ and resolution greater than 800. We use adversarial training to improve the quality. Our method fix the original FLUX.1 dev transformer as the discriminator backbone, and add multi heads to every transformer layer. We fix the guidance scale as 3.5 during training…
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