ComfyUI_essentials
cubiq
ComfyUI Essentials provides additional nodes that enhance functionality within the ComfyUI framework, addressing gaps in the core features, although the repository is now in maintenance mode.
885
2025-07-13
SAM3 Image Segmentation
Image2Image
SAM3
Segmentation
2
78
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Overview
In an image‑segmentation workflow, SAM3 looks at the structure and edges in the picture and assigns each pixel to a region, creating one or more precise masks. These masks can then be used for targeted edits such as background removal, color changes, depth effects, or compositing, without affecting the rest of the image. This makes SAM3 a core building block for controlled, professional image editing and VFX pipelines.
Who can use it
SAM3 Image Segmentation is useful for:
Creators and editors who often cut subjects from backgrounds for thumbnails, ads, and social media graphics.
Photographers and retouchers who need accurate subject, hair, and clothing masks for selective color and lighting adjustments.
VFX and motion‑graphics artists who want clean masks to combine AI images with 3D, live‑action plates, or other elements.
ComfyUI and node‑based workflow users who need reliable segmentation masks to drive downstream nodes like replace‑background, relight, or depth effects.
Use case
A typical use case is loading a portrait, using SAM3 to segment the subject and background, then applying blur, color grading, or replacements only to the background while keeping the subject sharp. Another is segmenting multiple objects in a product shot (for example, bottle, label, and background) so each part can have its own color, texture, or glow effect. In more advanced pipelines, SAM3 masks can drive depth‑of‑field simulations, object isolation for animation, or region‑based image‑to‑image transforms, all starting from a single still image.
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N
EXTENSIONS
Nodes & Models
Overview
In an image‑segmentation workflow, SAM3 looks at the structure and edges in the picture and assigns each pixel to a region, creating one or more precise masks. These masks can then be used for targeted edits such as background removal, color changes, depth effects, or compositing, without affecting the rest of the image. This makes SAM3 a core building block for controlled, professional image editing and VFX pipelines.
Who can use it
SAM3 Image Segmentation is useful for:
Creators and editors who often cut subjects from backgrounds for thumbnails, ads, and social media graphics.
Photographers and retouchers who need accurate subject, hair, and clothing masks for selective color and lighting adjustments.
VFX and motion‑graphics artists who want clean masks to combine AI images with 3D, live‑action plates, or other elements.
ComfyUI and node‑based workflow users who need reliable segmentation masks to drive downstream nodes like replace‑background, relight, or depth effects.
Use case
A typical use case is loading a portrait, using SAM3 to segment the subject and background, then applying blur, color grading, or replacements only to the background while keeping the subject sharp. Another is segmenting multiple objects in a product shot (for example, bottle, label, and background) so each part can have its own color, texture, or glow effect. In more advanced pipelines, SAM3 masks can drive depth‑of‑field simulations, object isolation for animation, or region‑based image‑to‑image transforms, all starting from a single still image.
Read more
N
EXTENSIONS