PuLID 울트라 얼굴 바꾸기 워크플로우
PuLID는 대조 정렬(Contrastive Alignment) 기술을 기반으로 합니다. 혁신적인 신원 분리(decoupling) 방식을 통해 원래 모델의 생성 능력을 유지하면서 고정밀 얼굴 바꾸기를 구현합니다.
이 기술은 모델 파라미터를 조정하지 않고도 신원 특징을 전송할 수 있게 하여, 사용 장벽을 크게 낮춰줍니다.
PuLID는 바이트댄스(ByteDance) 팀에서 개발한 AI 얼굴 바꾸기 모델입니다.
PuLID 얼굴 환_온라인 원본 이미지
675 조회3 좋아요31 즐겨찾기
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다운로드
3
31小莫MO的舒适ui
팔로우
AI 앱 열기
小莫MO的舒适ui
2025-03-29 업데이트
팔로우
워크플로우 소개
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PuLID 울트라 얼굴 바꾸기 워크플로우
PuLID는 대조 정렬(Contrastive Alignment) 기술을 기반으로 합니다. 혁신적인 신원 분리(decoupling) 방식을 통해 원래 모델의 생성 능력을 유지하면서 고정밀 얼굴 바꾸기를 구현합니다.
이 기술은 모델 파라미터를 조정하지 않고도 신원 특징을 전송할 수 있게 하여, 사용 장벽을 크게 낮춰줍니다.
PuLID는 바이트댄스(ByteDance) 팀에서 개발한 AI 얼굴 바꾸기 모델입니다.
노드 정보
26
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Primitive Nodes (8)CLIPTextEncode
DualCLIPLoader
EmptyLatentImage
LoadImage
SaveImage
UNETLoader
VAEDecode
VAELoader
Custom Nodes (18)ApplyPulidFlux
BasicGuider
BasicScheduler
DisableNoise
FluxGuidance
InjectLatentNoise+
Joy_caption_two
Joy_caption_two_load
KSamplerSelect
Label (rgthree)
LayerMask: PersonMaskUltra V2
LayerUtility: CropByMask V2
PulidFluxEvaClipLoader
PulidFluxInsightFaceLoader
PulidFluxModelLoader
RandomNoise
SamplerCustomAdvanced
SplitSigmasDenoise
PuLID 울트라 얼굴 바꾸기 워크플로우
PuLID는 대조 정렬(Contrastive Alignment) 기술을 기반으로 합니다. 혁신적인 신원 분리(decoupling) 방식을 통해 원래 모델의 생성 능력을 유지하면서 고정밀 얼굴 바꾸기를 구현합니다.
이 기술은 모델 파라미터를 조정하지 않고도 신원 특징을 전송할 수 있게 하여, 사용 장벽을 크게 낮춰줍니다.
PuLID는 바이트댄스(ByteDance) 팀에서 개발한 AI 얼굴 바꾸기 모델입니다.
노드 정보
26
Primitive Nodes (8)CLIPTextEncode
DualCLIPLoader
EmptyLatentImage
LoadImage
SaveImage
UNETLoader
VAEDecode
VAELoader
Custom Nodes (18)ApplyPulidFlux
BasicGuider
BasicScheduler
DisableNoise
FluxGuidance
InjectLatentNoise+
Joy_caption_two
Joy_caption_two_load
KSamplerSelect
Label (rgthree)
LayerMask: PersonMaskUltra V2
LayerUtility: CropByMask V2
PulidFluxEvaClipLoader
PulidFluxInsightFaceLoader
PulidFluxModelLoader
RandomNoise
SamplerCustomAdvanced
SplitSigmasDenoise