Flux 2: Portable consistent characters, without LoRA training

This workflow demonstrates, how to achieve character consistency without needing to train a lora model.

Requirements

• Nvidia GPU: 8GB+ VRAM
• Inline Studio installed

Steps

This is a step by step guide to run this workflow.

Step 1: Setup Inline Studio

• Visit installation instruction on our Github readme to setup Inline Studio on local machine with your own GPU.
• No GPU? Launch Inline Studio via official template on Runpod

Step 2: Download workflow

You can download this workflow from the download icon next to title. Click on it & the json file will be saved to your local machine.

Step 3: Drop the workflow

• Open Inline Studio canvas, create a new project or use an existing project
• Drag & drop the saved workflow into the canvas

Step 4: Install models

As soon as you dropped the workflow, missing model popup will guide you through model download.

Models required:

core/models/
  diffusion_models/  flux-2-klein-4b.safetensors                      
  text_encoders/     qwen_3_4b.safetensors                            
  vae/               flux2-vae.safetensors
  annotators/        face_detection_yunet_2023mar.onnx
  annotators/        face_recognition_sface_2021dec.onnx
  annotators/        dinov2-base/                               <-- folder

or you can also use Flux 2 Klein 9B as well

core/models/
  diffusion_models/  flux-2-klein-9b.safetensors
  text_encoders/     qwen_3_8b.safetensors    
  vae/               flux2-vae.safetensors
  annotators/        face_detection_yunet_2023mar.onnx
  annotators/        face_recognition_sface_2021dec.onnx
  annotators/        dinov2-base/                               <-- folder

Step 5: Load inputs

Download both inputs in this given workflow & drop them in Load Assets node or you can add your own face images.

Step 6: Run Workflow

Flux generation node is already attached with character workflow in order to immediately text the generation. Once you will run the workflow, on successful run it will save a .char file under /core/model/characters folder.

Step 6: Reuse .char without rebuilding(Optional)

Most of the workflow part is responsible for building char model but you might not need to build model on each run.

If you just want to generate using same generated .char, Setup a new separate generation graph:

Load Character Node -> Flux Generation Node

As of now .char is only supported with Flux node. For any issue or support, reach me out on Discord.