u/Artistic-Dealer2633

Experimenting with a workflow that I think UGC creators are going to love.

Instead of shooting 4 separate looks for 4 different brand deals, I generated one clean portrait, then used the Edit feature in PhotoGen Studio (www.photogenstudio.com) to place that same creator into completely different settings — skincare vanity, coffee shop, jewelry closeup, gym with a supplement brand.

The formula is literally: portrait + product reference image → final UGC content

All four images cost me about 4 cents total. The Edit feature takes the original face/look and adapts the background and context based on a reference product photo you feed it alongside a text prompt.

For UGC creators this means you can pitch 4 different brands with consistent-looking content from a single session. No reshoots, no studio, no photographer.

I've been frustrated by how most AI image generators treat you like you just want a firehose of images with nowhere to put them.

So I rebuilt the UX from scratch around a few core ideas:

Albums — every project gets its own space, not one giant dump folder

Edit tab — describe what you want to change in plain English, pick a style, adjust creativity/strength sliders. No Photoshop required.

Describe tab — drop any image in, get an AI-written description back as a reusable prompt. Massive time saver for style-matching.

Workflows — one-click operations like background removal, upscaling to 4K, style transfer, resize for platform

The reel shows all of this running inside a phone UI mockup — wanted to show the actual UX flow rather than just final images.

Stack is React + TypeScript + Firebase + Bunny CDN for delivery. The AI models sit behind an abstraction layer so I can swap them out without touching the frontend.

Free plan is 5 credits, no card needed. Would love feedback from this community especially on the workflow feature — still deciding what to add next.

photogenstudio.com

penAI dropped GPT Image 2 today and I immediately ran it through 4 prompts designed to expose where AI image models usually fall apart: text rendering, multi-panel consistency, and detailed typography.

Here's what I generated and the exact prompts I used:

Image 1 — Restaurant Menu (text rendering stress test)

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Result: Every single item name and price rendered correctly. Zero misspellings. This used to be completely impossible with diffusion models.

Image 2 — Manga Page with Japanese Kanji (multi-panel + foreign script)

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Result: All 4 panels rendered with correct layout, proper manga style, and the Japanese text is actually accurate. Panel-to-panel character consistency held up too.

Image 3 — Premium Product Label (commercial packaging)

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Result: Every line of label text came out clean and correctly spelled. The bottle looks commercially viable — I'd genuinely put this in a product mock-up deck.

Image 4 — Retro Anachronism / Period Photo (complex text on surfaces)

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Result: "NEURAL NET v2.0" and "GPT IMAGE 2 ARCHITECTURE" both readable on the chalkboard. The period photography look is convincing too.

My take:

The text rendering jump is real and significant. I'm not saying it's perfect on every prompt — but for the kinds of prompts that used to reliably produce gibberish, it's performing at a completely different level than DALL-E 3 or SD.

The model is available via API (gpt-image-2) and I've also added it to PhotoGen Studio if you want to try it without writing any code — it's 3 credits per image at 2K resolution.

Happy to answer questions on the prompts or share more tests.

Note: All images were generated using GPT-Image 2 via the PhotoGen Studio interface.

Found some public domain photos from the Library of Congress — a 1935 Depression-era farm family, Fort Totten soldiers from 1865, and a Union artillery regiment from 1862. All of them scratched, sepia-toned, spotted, and faded.

I uploaded each one into PhotoGen Studio's Edit feature and used a single prompt: "Restore and colorize this old damaged photograph. Remove all scratches, dark spots, and aging artifacts. Add natural historically accurate colors."

One credit. Maybe 10 seconds of wait time.

The farm family one is the one that got me. The denim on the overalls, the straw hat weave, the kid's blonde hair — none of that exists in the original. The AI just... figured it out from context. The scratches and dark spots are completely gone.

The Civil War ones are equally striking. The soldiers look like they were photographed last week.

I put together a short reel showing the wipe transition for all three if anyone wants to see the full before/afters side by side.

These are all 1-credit edits on the free plan, so pretty accessible if you want to try it on your own old family photos. photogenstudio.com

Instead of writing a prompt to describe an edit, you just show the AI two photos: a before and an after. It learns the style of the transformation and applies it to any new photo.

The example in the video: a natural portrait → cinematic Wong Kar-wai film aesthetic (teal shadows, amber rim light, moody atmosphere). Show it that pair once, point it at a different photo — done.

Built on top of Seedream 5 via PhotoGen Studio. The model is surprisingly good at inferring complex lighting and colour grading from just a reference pair, not just style transfer.

Would love feedback from anyone who's experimented with this kind of reference-based conditioning. Are there other models that handle example-based editing well?

photogenstudio.com — free to try (5 credits on signup)

Prompt:

A woman in an oversized shirt sitting on her kitchen counter at midnight, wine glass in hand, laughing at her phone, warm lamp light, film grain, candid, hyperrealistic, 35mm photography

Proud to share that PhotogenStudio is launching its first video integration....starting with Seedance 2.0....the clear winner at this time for video generation.

Starting with the following two features:

1. Turn any image into a video

2. Stitch two or more of your images in PhotogenStudio to create a video

and much more.....

Keep it simple:

A flying kangaroo giraffe hybrid, nat Geo magazine cover

We gave every model the exact same portrait prompt — "a cinematic portrait of a woman in golden hour light" — and the differences are stunning.

3 AI models — Flux 2 Max,

Gemini 3 Pro,

Nano Banana 2.

Each model has its own style, strengths, and character. Which one is your favorite?

Try all models free at photogenstudio.com