This workflow demonstrates how to achieve seamless image compositing by extracting elements, blending them onto a new background, and smoothing the boundaries for a natural and realistic look.
Seamless Image Compositing: Extraction, Blending, and Boundary Smoothing
Workflow Preview
Showcases
![](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=400,q=85/workflow_template_showcase/777638738703440115/57f69630-6c44-8af0-db58-6787ea18e5d2.png)
Showcases
![](https://image.tensorartassets.com/cdn-cgi/image/anim=true,plain=false,w=400,q=85/workflow_template_showcase/777638738703440115/57f69630-6c44-8af0-db58-6787ea18e5d2.png)
Nodes Detail
63 NodesPrimitive Node Types
0Custom Node Types
63- CheckpointLoaderSimple1
- UpscaleModelLoader2
- PreviewImage9
- ImageUpscaleWithModel2
- VAEDecode5
- ImageScaleBy2
- VAEEncode2
- GroundingDinoModelLoader (segment anything)1
- SAMModelLoader (segment anything)1
- MaskPreview+8
- EmptyLatentImage2
- KSampler5
- CLIPTextEncode4
- ImageFlip+1
- GetImageSize+1
- ImageResize+1
- SimpleMath+1
- GroundingDinoSAMSegment (segment anything)2
- InvertMask1
- GrowMaskWithBlur2
- SubtractMask2
- InpaintModelConditioning1
- ConditioningConcat1
- VAELoader1
- Reroute1
- DifferentialDiffusion1
- ImageCompositeMasked1
- Image Comparer (rgthree)1
- AddMask1