MagicTryOn is a video virtual try-on framework based on a large-scale video diffusion Transformer.
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Updated
Jan 27, 2026 - Python
MagicTryOn is a video virtual try-on framework based on a large-scale video diffusion Transformer.
A Collection of Google Colab Notebooks for various projects
基于MoneyPrinterTurbo,AI生成分镜大纲与视频(动态,不是念ppt),接入万相通义wan2.1 ai文生视频、图生视频功能,灵活把控视频生成。Based on MoneyPrinterTurbo, AI generates image outline and video (dynamic, not ppt), and integrates wan2.1 text-to-video and image-to-video functions to flexibly control video generation.
Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation"
[ICCV 2025] FiVE-Bench: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models
[ICLR 2026] This is the official PyTorch implementation of "QVGen: Pushing the Limit of Quantized Video Generative Models".
Bringing video generation to a next level by automation and simplification of routine processes.
A one-click, fully automated script for installing Wan2GP.
Benchmarking training throughput of contemporary diffusion models on AMD's GPU hardware.
A pure Golang binding library for stable-diffusion.cpp based on github.com/ebitengine/purego, no cgo dependency required, supporting cross-platform operation.
ComfyUI_Wan22Blockswap is a powerful ComfyUI node that implements advanced VRAM optimization techniques for WAN 2.1/2.2 models.
Official repository for Tio Magic Animation Toolkit
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