Update README.md

README.md

@@ -11,4 +11,29 @@ license: mit
 short_description: Interior design using controlnet depth model
 ---
 
+Stable Diffusion ControlNet Depth Demo
+This Space demonstrates a Stable Diffusion model combined with a ControlNet model fine-tuned for depth, and includes automatic depth map estimation from your input image.
+
+How to use:
+
+Upload an Input Image: Provide any photo (e.g., of a room, an object, a scene). The app will automatically estimate its depth map.
+
+Enter a Text Prompt: Describe the image you want to generate. The model will try to apply your prompt while respecting the structure derived from the depth map.
+
+Adjust Parameters: Experiment with "Inference Steps" and "Guidance Scale" for different results.
+
+Click "Submit" to generate the image.
+
+Model Details:
+
+Base Diffusion Model: runwayml/stable-diffusion-v1-5 (downloaded from Hugging Face Hub)
+
+ControlNet Model: Fine-tuned for depth (uploaded as ./Output_ControlNet_Finetune)
+
+Depth Estimator: Intel/dpt-hybrid-midas (downloaded from Hugging Face Hub)
+
+Note: This model is quite large, so the first generation after a "cold start" (when the Space wakes up) might take a few minutes to load the models. Subsequent generations will be faster.
+
+Enjoy!
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference