Text Guided Image Colorization

Tools

• text_guided_image_colorization_process_image Colorize a grayscale or low-color image using automatic captioning and text-guided diffusion. This function performs image-to-image generation using a ControlNet model and Stable Diffusion XL, guided by a text caption extracted from the image itself using a BLIP captioning model. Optional prompts (positive and negative) can further influence the output style or content. Process Overview: 1. The input image is loaded and resized to 512x512 for inference. 2. A BLIP model generates a caption describing the image content. 3. The caption is cleaned using a filtering function to remove misleading or unwanted terms. 4. A prompt is constructed by combining the user-provided positive prompt with the caption. 5. A ControlNet-guided image is generated using the SDXL pipeline. 6. The output image's color channels (A and B in LAB space) are applied to the original luminance (L) of the control image to preserve structure while transferring color. 7. The image is resized back to the original resoluti

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