Showing 3 open source projects for "image segmentation"

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    ComfyUI Essentials

    ComfyUI Essentials

    Essential nodes that are weirdly missing from ComfyUI core

    ComfyUI_essentials is a ComfyUI custom node collection that adds practical nodes the author considers missing from the ComfyUI core. The project focuses on useful workflow building blocks rather than generic duplicates, with nodes for image handling, mask processing, sampling, segmentation, conditioning, text, and miscellaneous operations. Its image tools include functions for batching, cropping, flipping, resizing, compositing, background removal, color matching, LUT application, sharpening, tiling, and latent previewing. Its mask tools include blur, smoothing, fixing, flipping, color-based masks, segmentation masks, bounding boxes, transition masks, and batch utilities. ...
    Downloads: 0 This Week
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  • 2
    Pixelization

    Pixelization

    Stable-diffusion-webui-pixelization

    This is a specialized extension for the popular Stable Diffusion Web UI (AUTOMATIC1111) that focuses on converting or “pixelizing” images into a pixel-art aesthetic. It's designed as a plugin you install into the Web UI so that in the “Extras” or “Pixelization” tab you can drag in an input image and produce a stylized, block-based version with control over cell size, color depth, and segmentation. The extension uses pre-trained models and optionally can co-operate with the Web UI’s other features (image-to-image, prompt-based generation) so you can combine pixelization with generative workflows. For digital art, game assets, or retro aesthetic workflows, this offers a fast path from photo or high-res asset to stylized tiles or sprites. ...
    Downloads: 0 This Week
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  • 3
    ControlNet for Stable Diffusion WebUI

    ControlNet for Stable Diffusion WebUI

    WebUI extension for ControlNet

    Stable Diffusion WebUI ControlNet is an extension that adds ControlNet and related image-conditioning systems to AUTOMATIC1111’s Stable Diffusion WebUI. It injects control models dynamically without requiring them to be merged into the base Stable Diffusion checkpoint. Users can guide generation with structures such as edges, depth, poses, line art, segmentation maps, and other preprocessed inputs. Multiple ControlNet units can influence the same generation with independent weights and timing ranges. ...
    Downloads: 0 This Week
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