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@@ -20,20 +20,6 @@ This model pipeline demonstrates an advanced workflow for restoring grayscale im
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  2. **Gray-to-RGB Conversion Model**: Converts the grayscale image (or inpainted output) into a full-color RGB image by adding a residual path in the AE. internel unet directly predicts difference between gray and color image's latent
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- ## **Pipeline Workflow**
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- 1. **Load Grayscale and Mask Images**:
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- - Grayscale image input is preprocessed to ensure it has 3 channels (`RGB` format).
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- - A binary mask identifies areas to restore or inpaint.
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- 2. **Apply Gray-Inpainting**:
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- - The inpainting model takes the grayscale masked image and restores the missing regions using `num_inference_steps`.
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- 3. **Convert to RGB**:
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- - The restored grayscale image is then processed by the gray-to-RGB model to produce a full-color output.
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  ---
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  ## **Code Example**
 
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  2. **Gray-to-RGB Conversion Model**: Converts the grayscale image (or inpainted output) into a full-color RGB image by adding a residual path in the AE. internel unet directly predicts difference between gray and color image's latent
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  ## **Code Example**