[Flux PuLID - GGUF] high quarity Image2Image face swaping
5.0
0 reviewsDescription
This is a workflow that uses PuLID for Flux, combined with inpainting for face swapping. It then performs fine-tuning steps to perfect the image. The workflow utilizes GGUF models to accommodate GPUs with limited VRAM
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Versions (1)
- latest (a year ago)
Node Details
Primitive Nodes (59)
Any Switch (rgthree) (1)
Anything Everywhere (1)
Anything Everywhere? (1)
ApplyPulidFlux (1)
ControlNetInpaintingAliMamaApply (1)
DualCLIPLoaderGGUF (1)
Fast Bypasser (rgthree) (1)
FluxGuidance (2)
GetNode (12)
ImageComposite+ (1)
ImageConcatMulti (1)
Label (rgthree) (6)
Miaoshouai_Tagger (2)
ModelSamplingFlux (1)
Node Collector (rgthree) (1)
PulidFluxEvaClipLoader (1)
PulidFluxInsightFaceLoader (1)
PulidFluxModelLoader (1)
SetNode (8)
SimpleComparison+ (1)
SimpleCondition+ (3)
SimpleMathInt+ (10)
UnetLoaderGGUF (1)
Custom Nodes (42)
ComfyUI
- CLIPTextEncode (2)
- VAEEncode (2)
- VAEDecode (2)
- LoadImage (4)
- VAELoader (1)
- PreviewImage (2)
- ControlNetLoader (1)
- SetLatentNoiseMask (1)
- ConditioningZeroOut (2)
- ImageUpscaleWithModel (1)
- UpscaleModelLoader (1)
- GrowMask (2)
- KSampler (2)
- easy cleanGpuUsed (4)
- easy humanSegmentation (2)
- easy seed (1)
- GetImageSize+ (1)
- MaskBlur+ (1)
- ImageResize+ (2)
- SimpleMath+ (1)
- ToBasicPipe (1)
- MaskDetailerPipe (1)
- LayerMask: PersonMaskUltra (1)
- FaceBoundingBox (1)
- FaceAnalysisModels (1)
- ConstrainImage|pysssss (2)
Model Details
Checkpoints (0)
LoRAs (0)