This workflow is designed for creating IP-Adapter FaceID Portraits, compatible with both SD1.5 and SDXL models. It processes batch image inputs to generate images with similar facial features.
Laufzeitprofil
Quellenbeschreibung
This workflow is designed for creating IP-Adapter FaceID Portraits, compatible with both SD1.5 and SDXL models. It processes batch image inputs to generate images with similar facial features.
By default, the CLIP Text Encode node is set to the SDXL version.
For SD1.5, simply switch this node to the basic Text Encode.
Additional details, including how to download the models,
are provided in the workflow notes in both Korean and English. Enjoy!
The IP-Adapter-FaceID-portrait model
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use this workflow to turn batch image inputs into IP-Adapter FaceID portraits with similar facial features, for SD1.5 or SDXL.
The workflow lists ip-adapter-faceid-portrait_sdxl.bin as a required model file.
Provide a batch of images as input; the workflow generates images with similar facial features.
The CLIP Text Encode node is set to the SDXL version by default.
For SD1.5, switch that node to the basic Text Encode node.
Vorschlag · nicht geprüft
Named model files include CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors, ip-adapter-faceid-portrait_sdxl.bin, and juggernautXL_juggXIByRundiffusion.safetensors.
Named nodes include CheckpointLoaderSimple, CLIPTextEncodeSDXL, CLIPVisionLoader, EmptyLatentImage, Image Comparer (rgthree), ImageBatch, IPAdapterFaceID, IPAdapterInsightFaceLoader, IPAdapterModelLoader, KSampler, LoadImage, PreviewImage, SaveImage, and VAEDecode.
The listed base model is SDXL 1.0.
Model download information is available at https://huggingface.co/h94/IP-Adapter-FaceID/tree/main.
The workflow details do not specify a license.
Muss das bearbeitet werden?
Melden Sie sich an, um eine Änderungsanfrage zu senden.
Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 915 downloads · Type Workflows · Base model SDXL 1.0
==================================================
SD1.5와 SDXL 모델에서 모두 활용 가능한 IP-Adapter FaceID Portrait 워크플로우입니다.
Batch Image 입력으로 이미지를 이어받아 유사한 얼굴을 표현하며 이미지를 생성합니다.
기본적으로 CLIP Text Encode 노드는 SDXL 버전으로 설정되어 있습니다.
SD1.5에서 사용하려면 해당 노드를 기본 Text Encode로 변경해 주세요.
모델 다운로드 방법 등 추가적인 정보는 워크플로우 내부 메모에 한국어와 영어로 제공되어 있으니
참고하시기 바랍니다.
IP-Adapter-FaceID-Portrait 모델을 받을 수 있는 주소
[contact & follow & like]
Mail : [email protected]
CIVITAI : https://civitai.com/user/a01demort
Youtube : https://www.youtube.com/@A01demort
Instagram : https://www.instagram.com/a01demort/
Naver Cafe : https://cafe.naver.com/sdfkorea
sdhotline : https://sdhotline.com/
Remaining hardware or download-size estimates are not available yet.
Anforderungen
CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
Nicht aufgelöstVision model · Unknown
Checkpoint · 715 MB · BIN · Unknown
juggernautXL_juggXIByRundiffusion.safetensors
Checkpoint · Unknown
VAEDecode
MöglichVAE · Unknown
CheckpointLoaderSimple
MöglichKnotenpaket · Unknown
CLIPTextEncodeSDXL
MöglichKnotenpaket · Unknown
CLIPVisionLoader
MöglichKnotenpaket · Unknown
EmptyLatentImage
MöglichKnotenpaket · Unknown
Image Comparer (rgthree)
Nicht aufgelöstKnotenpaket · Unknown
ImageBatch
MöglichKnotenpaket · Unknown
IPAdapterFaceID
MöglichKnotenpaket · Unknown
IPAdapterInsightFaceLoader
MöglichKnotenpaket · Unknown
IPAdapterModelLoader
MöglichKnotenpaket · Unknown
KSampler
MöglichKnotenpaket · Unknown
LoadImage
MöglichKnotenpaket · Unknown
PreviewImage
MöglichKnotenpaket · Unknown
SaveImage
MöglichKnotenpaket · Unknown