Type | Workflows |
Stats | 332 0 |
Reviews | (14) |
Published | Mar 31, 2025 |
Base Model | |
Hash | AutoV2 CF01EBAF5B |
Hello there and thanks for checking out this workflow!
Disclaimer: Glitch-vid workflow sold separately; batteries not included; no refunds
—Purpose—
This workflow provides a simple, solid and reliable way to efficiently inpaint images to perfection!
I hope this proves to be a useful tool to you!
—Features—
Custom built group nodes with focus on efficiency and structure
LoRA support
Batch Processing
Flexible Before/After Preview for any batch size and mask amount
Image Chooser to cherry pick
Tutorial guide for nodes and settings in dedicated ►INFO boxes
—Custom Nodes—
All of which can be installed through the ComfyUI-Manager
—Troubleshooting—
If nodes show up red (failing to load), check the 'Install Missing Custom Nodes' tab of the ComfyUI Manager for the missing node packs and install them.
Please check if all custom node packs load properly after installing, i.e. no
(IMPORT FAILED)
messages next to any of them in the console upon ComfyUI startup.Always reload/drag'n'drop the original, downloaded workflow file into ComfyUI to reload an intact version of the workflow.
→ The last opened workflow that appears on startup shows a cached version of the workflow, "remembering" group nodes that failed due to missing nodes as failed, keeping them broken even after having everything installed correctly.
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April 17th : ComfyUI has updated its frontend to v1.16, which introduces breaking changes to group nodes without solution.
→ frontend v1.15.13 works perfectly fine and should be used until a solution is found
To do so edit your run_nvidia_gpu.bat
file to the following:
.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --front-end-version Comfy-Org/[email protected]
pause
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Specific issues :
LatentClamp ...
→ Ensure you have the ComfyUI-Allor node pack installed and NOT the LatentClamp pack
—Thanks—
The workflow would not be possible as is without these custom node packs. If you want to support the custom node creators, give them a ⭐ on their github repos! Thank you!
Feel free to ask any questions, share improvements or suggestions in the comment section!
Also let me know if you encounter any confusing points I can elaborate on and focus on improving for the next update!