Update README.md

README.md

@@ -28,7 +28,7 @@ This repository contains a Depth ControlNet for FLUX.1-dev model jointly trained
 
 # Model Cards
 - The model consists of 4 FluxTransformerBlock and 1 FluxSingleTransformerBlock.
-- This checkpoint is trained on both real and generated image datasets. with 16\*A800 for 50K steps. The batch size 16\*4=64 with resolution=1024. The learning rate is set to 5e-6.
+- This checkpoint is trained on both real and generated image datasets, with 16\*A800 for 70K steps. The batch size 16\*4=64 with resolution=1024. The learning rate is set to 5e-6. We use [Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2) to extract depth maps.
 - The recommended controlnet_conditioning_scale is 0.3-0.7.
 
 # Showcases
@@ -74,4 +74,4 @@ For multi-ControlNets support, please refer to [Shakker-Labs/FLUX.1-dev-ControlN
 - [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro)
 
 # Acknowledgements
-This project is released by [Shakker AI](https://www.shakker.ai/). All copyright reserved.
+This project is sponsored and released by [Shakker AI](https://www.shakker.ai/). All copyright reserved.