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

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

Sourcecivitai.com/models/1033132

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Access: External workflow
Status: Listed
Source: Civitai
Updated: Sep 3, 2026

Source description

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.

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

Purpose

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.

Flow

The workflow loads models, encodes prompts, applies PuLID, samples, decodes images, compares images, previews results, and saves images.

Inputs and outputs

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.

Setup

Step-by-step guidance covers connecting and configuring PuLID nodes and includes download and installation locations for required models.

Dependencies

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.

Configuration

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.

Cautions

Before using it, verify that your setup has the listed model files and named nodes.
Suggestion
No license is specified for this workflow, so check the applicable terms before reusing it.
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Sources

1 source

CivitaiPrimary

civitai.com/models/1033132

Verified Jul 20

Source excerpts

1 excerpt

NoteJul 20civitai.com/models/1033132

Source context: 1653 downloads · Type Workflows · Base model Flux.1 D