This workflow compares the segmentation performance of Florence2, segment anything, and ultralytics. It's compatible with SD1.5, SDXL, and FLUX, and allows easy integration of YOLO models. The workflow includes mask...
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Segment Performance Comparison Workflow
This workflow compares the segmentation performance of Florence2, segment anything, and ultralytics. It's compatible with SD1.5, SDXL, and FLUX, and allows easy integration of YOLO models. The workflow includes mask splitting and selection features, enabling various experiments. Designed for easy use in ComfyUI, it effectively analyzes the performance of segmentation models.
세그먼트 성능 비교 워크플로우
이 워크플로우는 Florence2, segment anything, ultralytics의 세그먼트 구분 성능을 비교합니다. SD1.5, SDXL, FLUX와 호환되며, YOLO 모델을 쉽게 적용할 수 있습니다. 마스크 분할 및 선택 기능도 포함되어 있어 다양한 실험이 가능합니다. ComfyUI에서 사용하기 쉽게 설계되었으며, 세그멘테이션 모델의 성능을 효과적으로 분석할 수 있습니다.
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AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Use this ComfyUI workflow to compare Florence2, Segment Anything, and Ultralytics segmentation using an image, then split and select masks; it names the model files microsoft/Florence-2-base, sam_vit_b_01ec64.pth, and segm/skin_yolov8m-seg_400.pt.
Mask-related nodes include SegsToCombinedMask, MaskToImage, MaskPreview+, and PreviewImage.
LoadImage is the named image input node; the workflow description says masks can be split and selected.
The workflow requires these ComfyUI node packs: comfyui_segment_anything, ComfyUI_essentials, florence_dw, ComfyUI-Custom-Scripts, ComfyUI-Impact-Pack, and ComfyUI-Impact-Subpack.
Named Florence2 nodes: DownloadAndLoadFlorence2Model, Florence2, Florence2Postprocess, Florence2Run, and LoadFlorence2Model.
Named Segment Anything nodes: GroundingDinoModelLoader (segment anything), GroundingDinoSAMSegment (segment anything), SAMLoader, and SAMModelLoader (segment anything).
Other named nodes: ImpactSEGSToMaskBatch, ImpactSimpleDetectorSEGS, LoadImage, MaskPreview+, MaskToImage, PreviewImage, SegmDetectorSEGS, SegsToCombinedMask, ShowText|pysssss, UltralyticsDetectorProvider, and VHS_SelectMasks.
The workflow description lists compatibility with SD1.5, SDXL, and FLUX, and says YOLO models can be integrated.
The listed base model is Flux.1 D.
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Sources
1 sourceSource excerpts
1 excerptSource context: 290 downloads · Type Workflows · Base model Flux.1 D
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Estimated VRAM requirement
Estimate unavailable
Model file sizes are not complete enough to calculate this requirement yet.
Requirements
23 requirementsGroundingDinoModelLoader (segment anything)
File unverifiedSegmentation · Unknown · comfyui_segment_anything
GroundingDinoSAMSegment (segment anything)
File unverifiedSegmentation · Unknown · comfyui_segment_anything
Vision model · Hugging Face · microsoft/Florence-2-base
sam_vit_b_01ec64.pth
Not resolvedSegmentation · Unknown
SAMModelLoader (segment anything)
File unverifiedSegmentation · Unknown · comfyui_segment_anything
Object Detector · Hugging Face · segm/skin_yolov8m-seg_400.pt
DownloadAndLoadFlorence2Model
PossibleNode pack · Unknown
Node pack · Unknown
Node pack · Unknown
Florence2Run
PossibleNode pack · Unknown
Node pack · Unknown
Node pack · Unknown
Node pack · Unknown
LoadImage
PossibleNode pack · Unknown
Node pack · Unknown
MaskToImage
PossibleNode pack · Unknown
PreviewImage
PossibleNode pack · Unknown
Node pack · Unknown
Node pack · Unknown
Node pack · Unknown
Node pack · Unknown
Node pack · Unknown
VHS_SelectMasks
PossibleNode pack · Unknown