Update Readme

README.md

@@ -9,7 +9,7 @@ license_link: https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICE
 
 # Model features
 - This ControlNet is added on 4 double blocks.
-- The model was trained from scratch for 10,000 steps on a dataset of 1 million high-quality images covering both general and human-centric content. - Training was performed at 1328 resolution using BFloat16 precision, with a batch size of 64, a learning rate of 2e-5, and a text dropout ratio of 0.10.
+- The model was trained from scratch for 10,000 steps on a dataset of 1 million high-quality images covering both general and human-centric content. Training was performed at 1328 resolution using BFloat16 precision, with a batch size of 64, a learning rate of 2e-5, and a text dropout ratio of 0.10.
 - It supports multiple control conditions—including Canny, HED, depth maps, pose estimation, and MLSD can be used like a standard ControlNet.
 - Inpainting mode is also supported.
 - You can adjust controlnet_conditioning_scale for stronger control and better detail preservation. For better stability, we highly recommend using a detailed prompt. The optimal range for controlnet_conditioning_scale is from 0.65 to 0.80.