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Ideogram 4: Open image model at the forefront of design
2,005 starsPython
Ideogram 4.0 – open-weight 9.3B text-to-image model
by pigcat·Jun 3, 2026·46 points·12 comments
AI Analysis
●●●BangerWizardryBig Brain
Best text rendering in open-weight models with bounding box layout controls.
Strengths
- •Trained from scratch, not a fine-tune of existing models like Flux or SDXL.
- •Structured JSON prompting enables precise layout and color control.
- •NF4 quantized checkpoint runs on single 24GB consumer GPU.
Weaknesses
- •Open-weight image generation already crowded with Flux, Stable Diffusion alternatives.
- •Requires 24GB GPU minimum, excludes most consumer hardware.
Category
Target Audience
ML researchers, developers building image generation tools, designers needing text rendering
Similar To
Flux · Stable Diffusion XL · DALL-E 3
Post Description
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 :)
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