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Cover image for Simple prompt 2x latent upscaled FLUX — Fine Tuning / DreamBooth Images — Can be trained on as low as 6 GB GPUs
Furkan Gözükara
Furkan Gözükara

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Simple prompt 2x latent upscaled FLUX — Fine Tuning / DreamBooth Images — Can be trained on as low as 6 GB GPUs

AI Photos of Yourself — Workflow Guide

Step 1: Initial Setup

  • Follow any standard FLUX Fine-Tuning / DreamBooth tutorial of your choice

  • You can also follow mine step by step : https://youtu.be/FvpWy1x5etM

 

Step 2: Data Collection

  • Gather high-quality photos of yourself

  • I used a Poco X6 Pro (mid-tier phone) with good results

  • Ensure good variety in poses and lighting

Step 3: Training

  • Use “ohwx man” as the only caption for all images

  • Keep it simple — no complex descriptions needed

Step 4: Testing & Optimization

  • Use SwarmUI grid to find the optimal checkpoint

  • Test different variations to find what works best

Step 5: Generation Settings

Upscale Parameters:

  • Scale: 2x

  • Refiner Control: 0.6

  • Model: RealESRGAN_x4plus.pth

Prompt Used:

photograph of ohwx man wearing an amazing ultra expensive suit on a luxury studio<segment:yolo-face_yolov9c.pt-1,0.7,0.5>photograph of ohwx man

Note: The model naturally generated smiling expressions since the training dataset included many smiling photos.

Note: yolo-face_yolov9c.pt used to mask face and auto inpaint face to improve distant shot face quality

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