Updated description to include new features in V1.1.
- ✨ Added 2 new bitmap stitching modes: equal-width vertical stitching (top to bottom), equal-height horizontal stitching (left to right)
- ✨ Optimized the tile saving mode, including three options: none/save single block/save single image
- ✨ Added the function of displaying image filenames on the stitched tiles, with customizable text colors (16 colors)
- ✨ Simply connect to the b6 port to view the usage help for this node
- 🎨 Standardized the port naming on the node page
Halo-Lipsy is a native Wav2Lip implementation for ComfyUI that finally works
on AMD APUs with unified memory (Strix Halo, etc.).
Key features:
- No subprocess hacks - runs natively in ComfyUI process
- Face detection on CPU to prevent memory conflicts
- Safe tensor casting for unified memory compatibility
- Sync tuning and edge blending options
- Works on ROCm, AMD APUs, and NVIDIA
Tested on Ryzen AI Max+ 395 (Strix Halo) with 64GB unified memory and ROCm 7.11.
Repository: https://github.com/bkpaine1/Halo-Lipsy
Co-authored-by: bkpaine1 <bkpaine1@users.noreply.github.com>
* Add ComfyUI_FMJ_SaveImageVersions node entry
Save images with full metadata (prompt, workflow, software versions, commit)
This repository provides ComfyUI nodes to:
- Save PNG images with embedded metadata (positive / negative prompts and other JSON fields),
- Generate and copy a snapshot describing the environment (commits, versions, GPU, etc.),
- Load an image and restore information from its metadata.
Important: this project runs a local script `snapshot.py` to capture the state of ComfyUI and custom nodes. Only run it in trusted environments.
* Update custom-node-list.json
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Co-authored-by: Dr.Lt.Data <128333288+ltdrdata@users.noreply.github.com>
