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 :)
Ideogram 4.0 – open-weight 9.3B text-to-image model launched on June 3, 2026 with 46 votes, #673 of 22,647 launches that month and more than 95% of that year's launches.
In plain words
Ideogram 4.0 is an open-weight text-to-image model with 9.3 billion parameters designed for users needing precise control over generated images. It uses structured JSON prompts to enable bounding box guidance, color palette control, and spatial awareness. The model excels at rendering text within images and runs on a single 24GB GPU. It is intended for developers and creators building image generation applications.
written from the facts on this page · September 2026
From the sources
Ideogram 4: Open image model at the forefront of design - ideogram-oss/ideogram4
Ideogram 4 is Ideogram 's first open-weight text-to-image model . It is a state-of-the-art foundation model trained from scratch — not a fine-tune of any existing model. It introduces a new structured JSON prompting interface, with best-in-class multilingual text rendering, deep language understanding, explicit bounding-box layout and color-palette controls, and native 2k resolution images. The easiest way to try the model is online at ideogram.ai . We believe openness drives innovation, and we invite the research community to innovate with us on the forefront of visual intelligence. We evaluate Ideogram 4 across third-party arenas and benchmarks, standard open-source benchmarks, and our…from github.com
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