Lesson 78 of 1570
Ideogram 3 vs. FLUX.2 — text inside images, done right
Posters, logos, ads, memes — any image with legible text is a special case. Ideogram and FLUX.2 both do it well. Here is who wins what. Before using AI-generated marks commercially, do a basic USPTO search (or ask a lawyer) — a Swoosh on a shoe is still a Nike problem regardless of who rendered the pixels.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Text in images used to be a mess
- 2Head to head on text
- 3A poster workflow
Concept cluster
Terms to connect while reading
Section 1
Text in images used to be a mess
If you tried to generate a sign that said HAPPY BIRTHDAY in 2023, you got HAPPP BURTHDY or worse. By 2025 the typography problem was mostly solved by two specialists: Ideogram (founded explicitly to fix the problem) and FLUX (inherits solid text rendering from the diffusion transformer research lineage).
Section 2
Head to head on text
Compare the options
| Dimension | Ideogram 3.0 | FLUX.2 Pro |
|---|---|---|
| Text accuracy | Best in class — rarely misspells | Excellent, occasional digit slip |
| Typography control | Fonts, kerning, layouts are strong | Good, more photoreal framing |
| Photoreal quality | Clean, product-style | Photorealistic, broader aesthetic |
| Per-image cost | $0.02 via API | $0.05 via API |
| Access | Web + API | API, fal.ai, Replicate |
| Best use case | Logos, social posts, signs | Mockups, ads, photoreal with text |
Pick Ideogram when
- You are making logos or wordmarks where every letter has to be perfect
- You need multiple variations of a poster with different headlines
- You want the cheapest per-image cost ($0.02)
Pick FLUX.2 Pro when
- You need photoreal context around the text (product in hand, billboard in city)
- You are already using FLUX for broader image generation
- Aspect ratio flexibility matters (FLUX handles anything)
Section 3
A poster workflow
Two nested objects in the payload, one style_type for design work — Ideogram will preserve exactly that headline text.
import requests
# Ideogram API
headers = {"Api-Key": os.environ["IDEOGRAM_API_KEY"]}
payload = {
"image_request": {
"prompt": "concert poster, bold sans-serif headline 'MIDNIGHT OAK', below it in small italics 'Saturday March 14, The Vintage Room, 21+'",
"aspect_ratio": "ASPECT_2_3",
"model": "V_3",
"style_type": "DESIGN"
}
}
r = requests.post("https://api.ideogram.ai/generate", json=payload, headers=headers)
image_url = r.json()["data"][0]["url"]Key terms in this lesson
End-of-lesson quiz
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