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Dr.Lt.Data 2026-01-13 07:32:02 +09:00
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2 changed files with 2 additions and 2 deletions

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@ -40943,7 +40943,7 @@
"https://github.com/JasonHoku/ComfyUI-Ultimate-Auto-Sampler-Config-Grid-Testing-Suite"
],
"install_type": "git-clone",
"description": "A professional-grade benchmarking and IDE-like testing suite. Features Cartesian product grid generation, interactive dashboard, and 'Revise & Generate' workflow."
"description": "ComfyUI Sampler testing & benchmarking tool for testing Stable Diffusion samplers, schedulers, CFG scales, prompts, img2img denoise values, and LoRA combinations. Features infinite-canvas dashboard image grids with virtual scrolling that can handle thousands of images, multi-model comparison, automatic resume on interrupt, and real-time visualization. Test entire checkpoint folders, stack multiple LoRAs, generate random seed variations, and export optimized configs. Includes fullscreen mode, keyboard navigation, smart filtering by parameters, and one-click regeneration workflow. Perfect for sampler output optimization and hyperparameter tuning."
},
{
"author": "zwaigani",

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@ -125,7 +125,7 @@
"https://github.com/JasonHoku/ComfyUI-Ultimate-Auto-Sampler-Config-Grid-Testing-Suite"
],
"install_type": "git-clone",
"description": "A professional-grade benchmarking and IDE-like testing suite. Features Cartesian product grid generation, interactive dashboard, and 'Revise & Generate' workflow."
"description": "ComfyUI Sampler testing & benchmarking tool for testing Stable Diffusion samplers, schedulers, CFG scales, prompts, img2img denoise values, and LoRA combinations. Features infinite-canvas dashboard image grids with virtual scrolling that can handle thousands of images, multi-model comparison, automatic resume on interrupt, and real-time visualization. Test entire checkpoint folders, stack multiple LoRAs, generate random seed variations, and export optimized configs. Includes fullscreen mode, keyboard navigation, smart filtering by parameters, and one-click regeneration workflow. Perfect for sampler output optimization and hyperparameter tuning."
},
{
"author": "jchiotaka",