Update README.md

README.md

@@ -17,45 +17,4 @@ Recent interactive matting methods have shown satisfactory performance in captur
 ## Code and Usage
 
 The official code and model are available at the following GitHub repository:
-[https://github.com/chen-sd/SDMatte](https://github.com/chen-sd/SDMatte)
-
-This model can be loaded using the 🤗 Diffusers library. Below is a conceptual example of how you might use `DiffusionPipeline`. Please note that interactive matting typically requires specific input formats for images and prompts (e.g., scribbles, masks, or points). Refer to the official GitHub repository for precise usage instructions, setup, and examples.
-
-```python
-from diffusers import DiffusionPipeline
-import torch
-from PIL import Image
-
-# The model ID on the Hugging Face Hub (assuming it's named 'SDMatte/SDMatte')
-# Replace 'SDMatte/SDMatte' with the actual repository ID if different.
-model_id = "SDMatte/SDMatte" # Placeholder, update with actual repo ID
-
-try:
-    # Load the SDMatte pipeline.
-    # The specific components might require custom pipeline logic,
-    # but this is a common starting point for diffusers models.
-    pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-    pipe.to("cuda")
-
-    # Example: Load your input image and visual prompt (e.g., a scribble mask)
-    # These paths are illustrative; replace with your actual image and prompt data.
-    # input_image = Image.open("path/to/your_input_image.jpg").convert("RGB")
-    # visual_prompt = Image.open("path/to/your_visual_prompt.png").convert("L") # For a mask or scribble
-
-    # In a real scenario, you would pass these inputs to the pipeline.
-    # The method signature (e.g., `pipe(image=..., prompt=...)`) may vary
-    # depending on the specific implementation in the official repository.
-    # Example placeholder for inference:
-    # matted_image = pipe(image=input_image, prompt=visual_prompt).images[0]
-    # matted_image.save("matted_output.png")
-
-    print(f"Model {model_id} loaded successfully. Please refer to the GitHub repository for detailed usage.")
-
-except Exception as e:
-    print(f"Error loading or initializing the model: {e}")
-    print("Please ensure the model ID is correct and refer to the official GitHub repository for detailed installation and usage instructions.")
-
-```
-
-For more detailed usage, advanced features, and how to prepare your inputs (images and interactive prompts), please visit the official project repository:
-[https://github.com/chen-sd/SDMatte](https://github.com/chen-sd/SDMatte)
+[https://github.com/vivoCameraResearch/SDMatte](https://github.com/vivoCameraResearch/SDMatte)