A Collection of Google Colab Notebooks for various projects

Train and block edit and save LoRAs directly inside ComfyUI for Z-image Turbo, SDXL, Flux, WAN 2.2, SD 1.5

This allows you to utilize Google Colab (or other notebooks) to run wan2.2 image to video

Wan 2.2 WebUI (I2V + S2V).

Bringing FramePack (and HunyuanVideo) generations to a possibly next level

Wan Inference with ComfyUI

✨ Train and edit models for SDXL, SD 1.5, and more with ease, using ComfyUI's unified toolkit for real-time analysis and loading.

Wan2.2-Animate-14B动作迁移及视频人物替换软件一键启动整合包

Run WanGP video generation models on Kaggle free T4 GPU

Wan2.2-S2V-14B音频驱动的电影视频生成免安装一键启动整合包

ComfyUI_Wan22Blockswap is a powerful ComfyUI node that implements advanced VRAM optimization techniques for WAN 2.1/2.2 models.

Wan 2.2 Image-to-Video inference pipeline deployed on RunPod Serverless using a Docker-based GPU setup.

This repository contains example ComfyUI workflows for various image modesl.

Contains the notebooks and workflows configured to run inference from Wan 2.2 Animate with ComfyUI on Kaggle T4 GPUs smoothly

🎥 Generate videos from images effortlessly with the Wan 2.2 Google Colab template, featuring one-click setup and optimized workflows for free GPU use.

Docker service stack for a comprehensive local ai experience, running on a normal home hardware setup with single GPU. DevOps-Dashboards included. WIP.