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How to use this please refer to the video
Runtime profile
Source description
How to use this please refer to the video
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Estimated VRAM requirement
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Requirements
8 requirementsAI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Zen-ID Face Swap with AUTO-MASKING is a workflow for face swapping with automatic masking, using loaded images and producing image and mask previews.
The listed nodes cover Florence-2 processing, SAM2 model loading and segmentation, mask growth, face swapping, sampling, and VAE decoding.
The workflow includes LoadImage for image input.
PreviewImage and PreviewMask_ are included for image and mask previews.
The published instructions say to refer to the video for how to use the workflow.
The published page lists Lordcaocao2025 as the publisher.
Model requirements listed for the workflow are diffusion_pytorch_model.safetensors, microsoft/Florence-2-base, realvisxlV50_v50LightningBakedvae.safetensors, and sam2_hiera_base_plus.safetensors.
Node-pack requirements listed for the workflow are comfyui-florence2, comfyui-mixlab-nodes, comfyui-reactor, and ComfyUI-segment-anything-2.
The published workflow version is v1.0.
The downloadable package is named zenIDFaceSwapWithAUTO_v10.zip.
Before use, verify which installed files or packs correspond to diffusion_pytorch_model.safetensors, sam2_hiera_base_plus.safetensors, comfyui-florence2, and realvisxlV50_v50LightningBakedvae.safetensors.
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Sources
1 sourceSource excerpts
1 excerptSource context: 374 downloads · Type Workflows · Base model Other
Segmentation · Registry
diffusion_pytorch_model.safetensors
PossibleControlNet · Unknown
Vision model · Hugging Face · microsoft/Florence-2-base
realvisxlV50_v50LightningBakedvae.safetensors
Not resolvedVAE · Unknown
sam2_hiera_base_plus.safetensors
ConflictCheckpoint · Unknown
Possible sources
comfyui-florence2
PossibleNode pack · Registry
comfyui-mixlab-nodes
PossibleNode pack · Registry
Node pack · Registry
