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’s 9.3B open-weight model targets editable design, precise typography, JSON control, and custom brand workflows.
Ideogram founder and CEO Mohammad Norouzi explains why the company released a 9.3-billion-parameter open-weight image model after previously keeping its systems closed. Rather than compete with Google on scale, Ideogram focused on graphic design, accurate typography, layout control, and stylistic “taste,” producing up to 2K output on a single consumer GPU. The model uses detailed JSON prompts—roughly 4,000 tokens—to specify elements, bounding boxes, text, and positioning, enabling consistent editing and future editable designs. Norouzi says artists can customize the model with around 50 pieces of work, while Ideogram’s existing model-training product starts at 15 images and costs $60 per month for two trainings. He also highlights enterprise fine-tuning, on-premise deployment, privacy, and agentic workflows that combine APIs, MCP, editing, and canvas-based interfaces.
Chapters
- 0:00Why Ideogram Went Open Weights: 9.3B-Parameter Model for Enterprise and Device Deployment
- 3:07Editable Design, Layout Control & Text Rendering: Bounding Boxes and Accurate Typography
- 6:54How Training Data & Evaluation Drive Quality: Detailed Image-to-Text Data
- 9:22JSON Prompting as an Intermediate Representation: Consistent Editing and Brand Guidelines
- 15:17Taste, Graphic Design & Training a 9B Parameter Model: 9.3B Parameters, 2K Customization, and 3x Faster Comics
- 22:54Enterprise Customization & Fine-Tuning: Brand DNA, Editing, and Agentic Visual Workflows
- 30:03Agents, Editing & the Visual AI Workflow: API Agents Generate Landing Pages in Hours
- 36:10Agents, Editing & the Visual AI Workflow: 4,000-Token Representations and $60 Custom Models
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