2 repository-uri
Awesome GitHub RepositoriesGraph Navigation Bookmarks
Visual markers in a node graph that allow rapid jumping to specific nodes at defined zoom levels.
Distinct from Code Bookmarks: Specific to visual node graphs rather than lines of code or filesystem directories.
Explore 2 awesome GitHub repositories matching development tools & productivity · Graph Navigation Bookmarks. Refine with filters or upvote what's useful.
Awesome Graph Navigation Bookmarks GitHub Repositories
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- rgthree/rgthree-comfy
rgthree/rgthree-comfy
2,789Vezi pe GitHubrgthree-comfy is a collection of custom nodes and interface enhancements designed to automate and organize generative AI workflows within ComfyUI. It provides a specialized toolset for node-based automation, dynamic data routing, and graph management. The project distinguishes itself through a dynamic data router and workflow management tools that enable bulk muting, bypassing, and navigation of complex node graphs via bookmarks and visual labels. It also includes logic and math nodes for evaluating expressions and image processing utilities for side-by-side comparisons and precise cropping.
Provides shortcut anchors to jump to specific nodes at predefined zoom levels within the workflow.
JavaScriptaiartcomfyuistable-diffusion - yolain/comfyui-easy-use
yolain/ComfyUI-Easy-Use
2,567Vezi pe GitHubComfyUI-Easy-Use is a custom node suite and workflow optimizer designed to simplify Stable Diffusion generation pipelines. It provides a set of integrated tools to reduce visual clutter and streamline the process of creating images from text and existing image references. The project distinguishes itself through a pipeline manager that consolidates models, conditioning, and latents into unified data pipes, eliminating complex wiring in the node graph. It also introduces a logical operator set that enables conditional if-else branching and for-loop structures directly within the visual program
Provides shortcut keys for instant navigation to specific canvas positions and zoom levels.
Python
