freshcrate
Skin:/
Home > Testing > ComfyUI-None-upup

ComfyUI-None-upup

๐ŸŽจ Enhance cinematic image quality with ComfyUI-None-upup. This AI engine offers nodes for clarity, brightness, and video processing to elevate your visuals.

Why this rank:Recent releaseHealthy release cadenceStrong adoption

Description

๐ŸŽจ Enhance cinematic image quality with ComfyUI-None-upup. This AI engine offers nodes for clarity, brightness, and video processing to elevate your visuals.

README

Web_Dev

ScoreCode for Web_dev fdrrefferg

Release History

VersionChangesUrgencyDate
master@2026-06-06Latest activity on master branchHigh6/6/2026
0.0.0No release found โ€” using repo HEADHigh4/9/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

ComfyUI_LinkFXโœจ Enhance ComfyUI links with dynamic visual effects and gravity physics for vibrant animations like Neon, Matrix, and Fire.main@2026-05-10
ComfyUI-LoaderUtils๐Ÿ”„ Optimize model loading in ComfyUI with flexible node connections and controlled sequences for better performance and memory management.main@2026-06-06
ios-agentic-skills๐Ÿ” Discover and utilize agentic iOS/watchOS audit skills and playbooks for consistent quality assurance in your applications.master@2026-06-01
ai-test-case๐Ÿค– Generate automated test cases for your GitHub repositories using AI, ensuring comprehensive coverage with seamless integration and multi-language support.main@2026-06-06
ai-notes-apiNo descriptionmaster@2026-06-06

More in Testing

vector-db-benchmarkFramework for benchmarking vector search engines
GitoAn AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issuesโ€”such as security vulnerabilities, bugs, and maintainability concerns.
mxcliMendix cli tool, a headless way to work with Mendix projects. Enables Mendix projects for use with 3rd party agentic coding tools like Claude Code and Copilot. Includes a starlark linter for quality v
llm_context_benchmarks ๐Ÿ“Š LLM Context Benchmarks - A comprehensive benchmarking tool for testing LLMs with varying context sizes using Ollama. Features dual benchmark modes (API/CLI), automatic hardware detection (optimiz