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
Feb 10, 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
LoRA Pilot is an ultimate docker image for all Stable Diffusion LoRA trainers. Includes kohya_ss, diffusion pipes and TensorBoard for trainings and ComfyUI and InvokeAI for validation. Features shared models, modules, custom integrations and automatization scripts.
This allows you to utilize Google Colab (or other notebooks) to run wan2.2 image to video
Bringing video generation to a next level by automation and simplification of routine processes.
A ComfyUI Workflow for low vram users
ComfyUI_Wan22Blockswap is a powerful ComfyUI node that implements advanced VRAM optimization techniques for WAN 2.1/2.2 models.
🎥 Generate high-quality videos on budget hardware with the Wan 2.2 14B Low-VRAM Workflow for ComfyUI, optimized for smooth performance and quick results.
Docker service stack for a comprehensive local ai experience, running on a normal home hardware setup with single GPU. DevOps-Dashboards included. WIP.
Contains the notebooks and workflows configured to run inference from Wan 2.2 Animate with ComfyUI on Kaggle T4 GPUs smoothly
This repository contains example ComfyUI workflows for various image modesl.
Wan 2.2 Image-to-Video inference pipeline deployed on RunPod Serverless using a Docker-based GPU setup.
🎥 Generate videos from images effortlessly with the Wan 2.2 Google Colab template, featuring one-click setup and optimized workflows for free GPU use.
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