update DB

This commit is contained in:
Dr.Lt.Data
2025-09-12 12:48:20 +09:00
parent 892dc5d4f3
commit 7c3ccc76c3
9 changed files with 1864 additions and 1666 deletions

View File

@@ -21262,6 +21262,16 @@
"install_type": "git-clone",
"description": "A custom node for ComfyUI that integrates IC-Custom model for high-quality image customization and generation."
},
{
"author": "HM-RunningHub",
"title": "ComfyUI OneReward Node",
"reference": "https://github.com/HM-RunningHub/ComfyUI_RH_OneReward",
"files": [
"https://github.com/HM-RunningHub/ComfyUI_RH_OneReward"
],
"install_type": "git-clone",
"description": "A custom node for ComfyUI that integrates OneReward model for high-quality image inpainting, outpainting, and object removal."
},
{
"author": "wqjuser",
"title": "ComfyUI-Chat-Image",
@@ -32629,6 +32639,16 @@
"install_type": "git-clone",
"description": "A set of custom nodes for ComfyUI that leverage the Gemini 2.5 Flash Image Preview API to generate images from text prompts, single images, and multiple images."
},
{
"author": "ru4ls",
"title": "ComfyUI_Wan",
"reference": "https://github.com/ru4ls/ComfyUI_Wan",
"files": [
"https://github.com/ru4ls/ComfyUI_Wan"
],
"install_type": "git-clone",
"description": "A custom node for ComfyUI that provides seamless integration with the Wan models from Alibaba Cloud Model Studio. This solution delivers cutting-edge image and video generation capabilities directly within ComfyUI, supporting both international and Mainland China regions."
},
{
"author": "garg-aayush",
"title": "ComfyUI-Svg2Raster",
@@ -32679,6 +32699,16 @@
"install_type": "git-clone",
"description": "Custom ComfyUI nodes for integrating WaveSpeed AI API for image and video generation."
},
{
"author": "blurgyy",
"title": "CoMPaSS-ComfyUI",
"reference": "https://github.com/blurgyy/CoMPaSS-FLUX.1-dev-ComfyUI",
"files": [
"https://github.com/blurgyy/CoMPaSS-FLUX.1-dev-ComfyUI"
],
"install_type": "git-clone",
"description": "A ComfyUI custom node that implements CoMPaSS for FLUX.1-dev models. CoMPaSS enhances the spatial understanding capabilities of text-to-image diffusion models."
},