Activity
Mon
Wed
Fri
Sun
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
What is this?
Less
More

Memberships

The RoboNuggets Network (free)

26.7k members • Free

SW Automation

6.9k members • Free

Ai Titus

873 members • Free

n8n KI Agenten

9.8k members • Free

AI Automation Society

237.5k members • Free

AI Automation Mastery

24.9k members • Free

AI Architects

2.7k members • Free

1 contribution to Ai Titus
Automating infographic extraction for 100k+ product images: how to avoid distortions with GPT Image 1.5 and what alternatives exist?
Hi everyone! I have a task to build a workflow for mass processing of product images (scale — hundreds of thousands of photos).The goal is to automatically cut out individual infographic elements (icons, the main product, zoom-in areas) and bring them to “premium” quality (studio lighting, high sharpness). Problem with GPT Image 1.5 When trying to directly cut out an object using GPT Image 1.5, the model starts to hallucinate. It redraws small details: Faces on icons change LED diode grids get distorted Fabric textures are altered As a result, the output image is no longer the same product as in the original photo. Either the model changes the appearance of the product, or the visual details become inaccurate. Are there any ways to implement this differently, or alternative approaches/models that can solve this task without such distortions?
0
0
1-1 of 1
Juri Allikvee
1
5points to level up
@juri-allikvee-4667
Juri

Active 7d ago
Joined Aug 19, 2025