Train and block edit and save LoRAs directly inside ComfyUI for Z-image, Flux Klein, SDXL, Flux, WAN 2.2, SD 1.5
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Updated
Aug 21, 2026 - Python
Train and block edit and save LoRAs directly inside ComfyUI for Z-image, Flux Klein, SDXL, Flux, WAN 2.2, SD 1.5
A Collection of Google Colab Notebooks for various projects
A ComfyUI node pack that implements FreeLong (NeurIPS 2024) spectral blending for Wan 2.2 video generation
From dataset to trained LoRA to finished image or video. One browser workspace for your models, datasets, training, and generation. LoRA Pilot supports 50+ training model groups, with ComfyUI, Kohya, AI Toolkit, and Diffusion Pipe included. Run on your own GPU or RunPod, and connect AI agents through MCP.
A ComfyUI Workflow for low vram users
This allows you to utilize Google Colab (or other notebooks) to run wan2.2 image to video
ComfyUI node for WAN I2V control with built-in person/face mask generation using MediaPipe
Timeline-based video editor for ComfyUI with scenes, project assets, gallery, images as keyframes, render staging, and takes for iterative long-form generation.
A professional node pack by **Magos Digital Studio** for DWPose & NLF skeleton editor, retargeter, and renderer for ComfyUI.
Non-linear video editing and generation based on Comfy backend.
RTX 5090 Laptop (24GB) + ComfyUI: 12 model lines / 21 measured configs — MiniMax H3, Wan 2.2, Qwen-Image 2512, HunyuanVideo 1.5, FLUX.2 Klein, Z-Image-Turbo, LTX-Video, ACE-Step 1.5, YuE2, Stable Audio 3, Hunyuan3D 2.1, ERNIE-Image. A controlled A/B proves NVFP4 beats INT8. Bilingual 中文/English, licence-verified.
Wan2.2-Fast is an optimized, high-performance image-to-video (I2V) generation suite powered by the Wan-AI/Wan2.2-I2V-A14B-Diffusers model.
Training-free sparse attention for video generation and world models.
Docker service stack for a comprehensive local ai experience, running on a normal home hardware setup with single GPU. Project-Status: Working, Backlog.
Contains the notebooks and workflows configured to run inference from Wan 2.2 Animate with ComfyUI on Kaggle T4 GPUs smoothly
Wan 2.2 Image-to-Video inference pipeline deployed on RunPod Serverless using a Docker-based GPU setup.
ComfyUI_Wan22Blockswap tries to uzse advanced VRAM optimization techniques for WAN 2.1/2.2 models.
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