StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
Chang Liu, Rui Li, Kaidong Zhang, Yunwei Lan, Dong Liu
[Paper] / [Project] / [GitHub] / [DAVIS-Edit (HuggingFace)] / [Models (wisemodel)] / [DAVIS-Edit (wisemodel)] / [Models (ModelScope)] / [DAVIS-Edit (ModelScope)]
Official pre-trained model weights of the paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing".
Model Weights Structure
We construct our model weights following the structure below:
StableV2V
βββ controlnet-depth               <----- ControlNet (depth), required by CIG
βββ controlnet-scribble            <----- ControlNet (scribble, needed in sketch-based editing application)
βββ ctrl-adapter-i2vgenxl-depth    <----- Ctrl-Adapter (I2VGen-XL, depth), required by CIG
βββ i2vgenxl                       <----- I2VGen-XL, required by CIG
βββ instruct-pix2pix               <----- InstructPix2Pix, required by PFE
βββ paint-by-example               <----- Paint-by-Example, required by PFE
βββ stable-diffusion-v1-5-inpaint  <----- SD Inpaint, required by PFE
βββ stable-diffusion-v1.5          <----- SD v1.5, required by CIG
βββ 50000.ckpt                     <----- Shape-guided depth refinement network
βββ README.md
βββ dpt_swin2_large_384.pt         <----- MiDaS, required by ISA
βββ raft-things.pth                <----- RAFT, required by ISA
βββ u2net.pth                      <----- U2-net, required by ISA
βββ 50000.ckpt                     <----- Shape-guided depth refinement network, required by ISA
- Downloads last month
 - 19
 
	Inference Providers
	NEW
	
	
	This model isn't deployed by any Inference Provider.
	π
			
		Ask for provider support