FrameDiffusion

A frame2frame, video2video Video Editor based on the stable-diffusion

Survey

• StableDiffusion img2img API example

T2V ~ text2video

• nateraw / stable-diffusion-videos : 4.1k
• Picsart-AI-Research / Text2Video-Zero : 3.7k
• lucidrains / video-diffusion-pytorch : 1.1k

V&I2V ~ video2video & image2video

• Make-A-Video: Site:MetaAI and SearchPaper: Cornell University / arXiv:2209.14792

V2V ~ vide2video

• showlab / Tune-A-Video : 4k
• omerbt / TokenFlow : 1.4k
• rese1f / StableVideo : 1.3k
• ChenyangQiQi / FateZero : 1k

I2V ~ image2video

• HumanAIGC / AnimateAnyone : 13.5k and AcadamicPaper : Cornell University / arXiv:2311.17117 ( Paper and Code: moorethreads / moore-animateanyone : 2.3k )
• AILab-CVC / VideoCrafter : 3.8k
• ali-vilab / i2vgen-xl : 2.3k

others survey

• showlab / Awesome-Video-Diffusion : 2k
• ChenHsing / Awesome-Video-Diffusion-Models : 990

Preliminary investigation

Core

• leandromoreira/digital_video_introduction: There are more theoretical studies on video

GUI

• gradio docs
• TkInter and CustomTKinter and CustomTkinter docs
• ParthJadhav / Tkinter-Designer
• PyQtGraph