The Impact Pack supports image enhancement through inpainting using Detector, Detailer, and Bridge nodes, offering various workflow configuration methods through Wildcards, Regional Sampler, Logics, PIPE, and more.Please refer to the GitHub page for more detailed information.<a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Impact-Pack">https://github.com/ltdrdata/ComfyUI-Impact-Pack</a>Install guide:<ul><li>Method 1 (strongly recommended):<ul><li>Install through ComfyUI-Manager</li></ul></li></ul><ul><li>Method 2:<ul><li>Download</li><li>Uncompress into ComfyUI/custom_nodes<ul><li>GOOD: ComfyUI/custom_nodes/ComfyUI-Impact-Pack</li><li>BAD CASE 1: with redundant subfolder<ul><li>ComfyUI/custom_nodes/ComfyUI-Impact-Pack/ComfyUI-Impact-Pack</li></ul></li><li>BAD CASE 2: without subfolder<ul><li>ComfyUI/custom_nodes</li></ul></li></ul></li><li>Restart ComfyUI</li></ul></li><li>Method 3:<ul><li>goto ComfyUI/custom_nodes in cmd</li><li>git clone <a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Impact-Pack">https://github.com/ltdrdata/ComfyUI-Impact-Pack</a></li><li>Restart ComfyUI</li></ul></li></ul>Troubleshootings:<ul><li>Occasionally, when a new parameter is created in an update, the values of nodes created in the previous version can be shifted to different fields. This can result in unintended results or errors if executed as is, so it is important to check the node values. In particular, when updating from version v1.4 or earlier to version v1.5, all parameter values under guide_size will be different, so be careful when using previously created workflows.</li></ul>Tutorial videos:<a target="_blank" rel="ugc" href="https://www.youtube.com/channel/UCmML5IfnB_06Mx_MsWmnzSg">https://www.youtube.com/channel/UCmML5IfnB_06Mx_MsWmnzSg</a>Tutorial resources and worksflows:<a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-extension-tutorials">https://github.com/ltdrdata/ComfyUI-extension-tutorials</a>Updates:v4.52.1<ul><li>Detailer: AnimateDiff support, noise/unsampler hook, wildcards</li><li>Preview Bridge (latent)</li><li>Logics nodes (Switches, ControlBridge, QueueTrigger, ..)</li><li>Regional Sampler</li><li>And so on....</li></ul>v3.20<ul><li>UltralyticsDetectorProvider<ul><li>MMDetDetectorProvider is optional now.</li></ul></li><li>bunch of SEGS manipulation nodes<ul><li>SEGS Filter, SEGS Detailer, SEGS Paste, SEGS Preview, ...</li></ul></li><li>ImpactWildcardsProcessor, ImpactWildcardsEncode</li><li>ReencodeLatent</li><li>And much more improvements....</li></ul>v2.7.5<ul><li>Bug fixes: EmptySEGS, device error on Mask operation nodes,</li><li>improve install script for better compatibility with portable version</li></ul>v2.7.1<ul><li>Bug fix in the 'MASK to SEGS' node where an erroneous SEGS was generated when the crop region extended beyond the image area.</li></ul>v2.7<ul><li>Whole new nodes and New install system</li><li>Interactive SAM Detector, PreviewBridge</li><li>Iterative Upscaler, PIPE, ...</li><li>FaceDetailer</li></ul>v1.7<ul><li>new features: mask-points, mask-area on SAMDetectorCombined</li><li>improve mask painting: wheel brush size, right button eraser</li><li>SAMDetectorCombined bbox range bug fix</li></ul>v1.6.1<ul><li>bug fix for DetailerForEachDebug</li></ul>v1.6<ul><li>MaskPainter, EmptySEGS node added</li><li>bug fix for MaskToSEGS</li></ul>v1.5<ul><li>guide_size_for parameter added</li><li>more predictable upscale size patch</li><li>crop_factor on ONNXDetectorForEach node</li></ul>v1.4<ul><li>guide_size bug fix</li><li>ONNXLoader, ONNXDetectorForEach nodes added</li></ul>v1.3<ul><li>MaskToSEGS node added. </li></ul>v1.2<ul><li>Support external_seed for Seed node of WAS node suite. </li></ul>v1.1<ul><li>Fixed a package dependency issue with pycocotools on Windows.</li><li>Resolved an issue where the software was unable to recognize the "ComfyUI" folder in certain cases.</li></ul>

ComfyUI Impact Pack

feat: ultralytics model loaderfeat: wildcards nodes

comfyuiImpactPack_v320.zip

v3.20

v4.52.2

v2.7.5

v1.7

v1.6.1

v1.5

v1.4

v1.2

Files with SHA256: 414a5ce9584f99fc4c6147e9dfee8809fbe15ec7193f8949537e3e4faefd66af