Building the Future of Image Generation with Ideogram's CEO
a16z Deep Dives · 2026-06-15 · 42 min
https://www.youtube.com/watch?v=MnCBp01Bci8Video summary
Ideogram CEO Mohammad Norouzi explains why its 9.3B-parameter open-weight model prioritizes accurate text, design control, and customization.
Ideogram founder and CEO Mohammad Norouzi explains why the company released open weights after earlier closed models: it wants to focus on foundation-model development while enabling enterprise hosting, device optimization, and customization. The 9.3-billion-parameter model can run on a single GPU and emphasizes typography, graphic design, and detailed JSON prompts; Norouzi says editable text and layout control are still upcoming priorities. He describes training with image-to-text annotations that capture bounding boxes and text, plus careful evaluation by designers to improve accuracy and “taste.” JSON acts as an intermediate representation that helps users control image details and supports consistent editing. Norouzi sees fine-tuning and editing as complementary: artists can adapt a model to their style, while businesses can encode brand guidelines. He cites an artist who became 3x faster making a comic book and says Ideogram’s model-training feature starts at 15 images and costs $60 for two trainings per month. He also anticipates agent workflows that explore many design options before people refine them on a canvas.
Chapters
- 0:00Why Ideogram Went Open Weights: Extending the Model to Enterprises and Inference Partners
- 3:07Editable Design, Layout Control & Text Rendering: Bounding-Box Prompts and Accurate Typography
- 6:54How Training Data & Evaluation Drive Quality: Detailed Image Captions and Text-Accuracy Tests
- 9:22JSON Prompting as an Intermediate Representation: Structured Inputs for Consistent Image Editing
- 15:17Taste, Graphic Design & Training a 9.3B Model: Designer Evaluation and 3x-Faster Comics
- 22:54Enterprise Customization & Fine-Tuning: Brand-Specific Models, Curated Data, and Editing Workflows
- 30:03Agents, Editing & the Visual AI Workflow: MCP, large-scale design exploration, and Ideogram 4’s varied styles
- 36:10Agents, Editing & the Visual AI Workflow: 4,000-token representations, HTML, and Ideogram model fine-tuning
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