WorkflowListedExternal

[FLUX] PuLID simple workflow (Beginner, Basic) — v1.0

This workflow is designed to help you easily understand how to generate consistent faces using PuLID in Flux.

Sourcecivitai.com/models/1032821

FamilyFLUXVersionRelease 1158375 — FLUX+PULID simple.jsonEstimated VRAMNot yet characterizedBgrade

Runtime profile

Access: External workflow
Status: Listed
Version: FLUX+PULID simple.json
Source: Civitai
Updated: Oct 18, 2026

Source description

This workflow is designed to help you easily understand how to generate consistent faces using PuLID in Flux.

While the default nodes are set up with GGUF models, users who prefer to use standard Flux models can easily switch by using the ClipLoader and Diffusion Model included in the workflow's Options.

The connection and configuration of PuLID nodes have been organized step by step so that even beginners can follow along easily. The workflow includes detailed download locations and installation instructions for the required models. Following the provided instructions will allow you to quickly implement the system.

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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.

설명을 따라 설치하시면 빠르게 적용하실 수 있습니다.

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What you need

Model files: 26.3 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

clip_l.safetensors
Possible
Text encoder · Unknown
FLUX_VAE_diffusion_pytorch_model.safetensors
Not resolved
VAE · Unknown
flux1-dev-fp8.safetensors
Found
Checkpoint · 5.38 GB · Hugging Face · PincoLi/ComfyUI-model-pack
flux1-dev-Q8_0.gguf
Found
Checkpoint · 11.8 GB · GGUF · fp16 · Unknown
pulid_flux_v0.9.0.safetensors
Not resolved
Checkpoint · Unknown
t5xxl_fp16.safetensors
Found
Text encoder · 9.12 GB · SAFETENSORS · Unknown
t5xxl_fp8_e4m3fn.safetensors
Not resolved
Text encoder · Unknown

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

Use PuLID with Flux to generate consistent faces from image input; the workflow includes LoadImage, PreviewImage, and SaveImage nodes.

Flow

The PuLID node connections and settings are arranged step by step for beginners.
The workflow identifies flux1-dev-fp8.safetensors, flux1-dev-Q8_0.gguf, and t5xxl_fp16.safetensors as required models.

Inputs and outputs

LoadImage is the named image-input node; PreviewImage and SaveImage are named for viewing and saving image results.

Setup

The workflow includes download locations and installation instructions for the required models.

Dependencies

The model files named for the workflow are 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.