text_guided_image_colorization_process_image – 1 MCP server offers this tool
What it usually takes
image_path– in 1 of 1negative_prompt– in 1 of 1positive_prompt– in 1 of 1seed– in 1 of 1
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
Text Guided Image Colorization co.huggingface.fffiloni/text-guided-image-colorization 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 | image_path,negative_prompt,positive_prompt,seed | Not stated |