ideogram4

Ideogram 4: Open image model at the forefront of design

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Ideogram 4: Open image model at the forefront of design

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

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Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2026-06-03 16:00:09 UTC to 2026-06-03 18:50:04 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
Jun 3, 16:00	2026-06-03 16:00:00 UTC	2026-06-03 17:00:00 UTC	1	1	0
Jun 3, 17:00	2026-06-03 17:00:00 UTC	2026-06-03 18:00:00 UTC	0	0	0
Jun 3, 18:00	2026-06-03 18:00:00 UTC	2026-06-03 19:00:00 UTC	1	0	1

What Hacker News says

2 sources

aaraujo002·Jun 3, 2026

The model should perform better with JSON prompts than with natural language prompts. The safety filter may also be triggered incorrectly by natural language prompts, we are aware of this and will make a future checkpoint update to improve it. See how to prompt the model here: https://github.com/ideogram-oss/ideogram4/blob/main/docs/pro... Disclaimer: I work at Ideogram.

In Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

pigcat·Jun 3, 2026Submission

Show HN: Ideogram 4.0 – open-weight 9.3B text-to-image model

It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)

46 points · Open discussion