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
Jun 7, 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
here are the best free local ai video generators for 2026. making a high-quality 3-minute video fully offline is still very hardware-heavy, usually needs 8gb+ vram, and takes a some time. most tools make short clips first, then you stitch them together.
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
A ComfyUI Workflow for low vram users
ComfyUI node for WAN I2V control with built-in person/face mask generation using MediaPipe
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.
wan2.2-i2v-fast is an experimental, highly optimized Image-to-Video generation suite powered by the massive 14B parameter Wan-AI/Wan2.2-I2V-A14B-Diffusers model.
ComfyUI_Wan22Blockswap tries to uzse 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.
Contains the notebooks and workflows configured to run inference from Wan 2.2 Animate with ComfyUI on Kaggle T4 GPUs smoothly
Docker service stack for a comprehensive local ai experience, running on a normal home hardware setup with single GPU. DevOps-Dashboards included. WIP.
Full-stack AI short-drama production platform with CASR reliability integration
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