This workflow is designed to help you easily understand how to generate consistent faces using PuLID in Flux.
Laufzeitprofil
Quellenbeschreibung
This workflow is designed to help you easily understand how to generate consistent faces using PuLID in Flux.
While the basic node is configured with a GGUF model, users who prefer to use standard Flux models can easily switch to the ClipLoader and Diffusion Model included in the workflow's Options.
The workflow provides step-by-step instructions for connecting and configuring PuLID nodes, making it easy even for beginners to follow. Detailed information about where to download and how to install the required models is included within the workflow.
Additionally, this workflow supports the integration of LoRA) models, allowing you to incorporate specific styles or character features into your image generation. By applying LoRA, you can effectively enhance the base model's output with desired styles or characteristics, enabling the creation of more diverse results.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use [FLUX] PuLID + LORA simple workflow (Basic, Beginner) to generate Flux images with consistent faces from a text prompt and an input image; it can apply LoRA styles or character features and provide image previews and saved images.
The workflow loads models, encodes prompts, applies PuLID, samples, decodes images, compares images, previews results, and saves images.
Provide a text prompt through CLIPTextEncode and an input image through LoadImage.
PreviewImage and SaveImage are included for image previews and saved images, while Image Comparer (rgthree) is included to compare images.
Step-by-step guidance covers connecting and configuring PuLID nodes and includes download and installation locations for required models.
Listed model files include: clip_l.safetensors, FLUX_VAE_diffusion_pytorch_model.safetensors, flux1-dev-fp8.safetensors, flux1-dev-Q8_0.gguf, pulid_flux_v0.9.0.safetensors, t5xxl_fp16.safetensors, and t5xxl_fp8_e4m3fn.safetensors.
Named nodes include: ApplyPulidFlux, BasicGuider, BasicScheduler, CLIPTextEncode, DualCLIPLoader, DualCLIPLoaderGGUF, EmptySD3LatentImage, FluxGuidance, Image Comparer (rgthree), KSamplerSelect, LoadImage, and Power Lora Loader (rgthree).
Other named nodes include: PreviewImage, PulidFluxEvaClipLoader, PulidFluxInsightFaceLoader, PulidFluxModelLoader, RandomNoise, SamplerCustomAdvanced, SaveImage, UNETLoader, UnetLoaderGGUF, VAEDecode, and VAELoader.
The basic setup uses a GGUF model, while Options includes ClipLoader and Diffusion Model for switching to standard Flux models.
LoRA models can add specific styles or character features to generated images.
The listed base model is Flux.1 D.
Before using it, verify that your setup has the listed model files and named nodes.
Vorschlag
No license is specified for this workflow, so check the applicable terms before reusing it.
Vorschlag
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 1653 downloads · Type Workflows · Base model Flux.1 D
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이 워크플로우는 Flux에서 PuLID를 활용하여 일관된 얼굴을 생성하는 방법을 쉽게 이해할 수 있도록 구성되었습니다.
기본 노드는 GGUF 모델로 설정되어 있으나, 일반 Flux 모델을 사용하시려는 분들은 워크플로우의 Option에 포함된 ClipLoader와 Diffusion Model로 쉽게 전환하여 사용하실 수 있습니다.
PuLID 노드의 연결과 설정 방법을 초보자도 쉽게 따라할 수 있도록 단계별로 정리했으며, 워크플로우 내에 필요한 모델들의 다운로드 위치와 설치 방법을 상세히 기재해두었습니다.
또한, 이 워크플로우는 LoRA모델을 추가하여 사용할 수 있도록 구성되어 있어,
원하는 스타일이나 특정 캐릭터의 특징을 이미지 생성에 반영할 수 있습니다.
LoRA를 적용하면 기본 모델의 결과물에 원하는 스타일이나 특성을 더욱 효과적으로 반영할 수 있어 더욱 다양한 결과물을 얻을 수 있습니다.
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Remaining hardware or download-size estimates are not available yet.
Anforderungen
clip_l.safetensors
MöglichText encoder · Unknown
DualCLIPLoader
MöglichText encoder · Unknown
DualCLIPLoaderGGUF
MöglichText encoder · Unknown
FLUX_VAE_diffusion_pytorch_model.safetensors
Nicht aufgelöstVAE · Unknown
Checkpoint · 11.5 GB · SAFETENSORS · Unknown
Checkpoint · 11.8 GB · GGUF · fp16 · Unknown
Checkpoint · Unknown · SHA-256 14e3c257ae88
PulidFluxEvaClipLoader
MöglichText encoder · Unknown
Text encoder · 9.12 GB · SAFETENSORS · Unknown
Text encoder · Unknown · SHA-256 7d330da48161
VAEDecode
MöglichVAE · Unknown
VAELoader
MöglichVAE · Unknown
ApplyPulidFlux
MöglichKnotenpaket · Unknown
BasicGuider
Nicht aufgelöstKnotenpaket · Unknown
BasicScheduler
MöglichKnotenpaket · Unknown
CLIPTextEncode
MöglichKnotenpaket · Unknown
EmptySD3LatentImage
Nicht aufgelöstKnotenpaket · Unknown
FluxGuidance
Nicht aufgelöstKnotenpaket · Unknown
Image Comparer (rgthree)
Nicht aufgelöstKnotenpaket · Unknown
KSamplerSelect
MöglichKnotenpaket · Unknown
LoadImage
MöglichKnotenpaket · Unknown
Power Lora Loader (rgthree)
Nicht aufgelöstKnotenpaket · Unknown
PreviewImage
MöglichKnotenpaket · Unknown
PulidFluxInsightFaceLoader
MöglichKnotenpaket · Unknown
PulidFluxModelLoader
MöglichKnotenpaket · Unknown
RandomNoise
Nicht aufgelöstKnotenpaket · Unknown
SamplerCustomAdvanced
Nicht aufgelöstKnotenpaket · Unknown
SaveImage
MöglichKnotenpaket · Unknown
UNETLoader
MöglichKnotenpaket · Unknown
UnetLoaderGGUF
MöglichKnotenpaket · Unknown