Ideogram 4 - Ideogram's open-source text-to-image generation model

What is Ideogram 4?

Ideogram 4 is Ideogram's first open-source text-to-image generation model, boasting 9.3 billion parameters and trained from scratch rather than fine-tuning existing models. Designed for high-quality image generation, it excels particularly in design, marketing graphics, logos, posters, advertising, and social media visual content. The model supports a structured JSON hint interface, features industry-leading multilingual text rendering capabilities, deep language understanding, explicit bounding box layout and palette control, and can natively generate 2K resolution images.

Main functions of Ideogram 4

• Precise text renderingAccurately generate logos, titles, watermarks, and multi-line text within images.
• Structured JSON hint system: Precisely describe layout, style, lighting, color, font, and object position using JSON.
• Bounding box layout controlIt supports placing subjects and text in specific areas of an image to achieve precise composition.
• Palette controlSupports color control via hexadecimal color values.
• Multi-scale native generationSupports various aspect ratios, from square to ultra-wide banners, with native 2K resolution output.
• Multilingual supportIt possesses the best multilingual text rendering capabilities.

Technical principles of Ideogram 4

• Single-stream Diffusion Transformer architectureIdeogram 4 uses a single-stream Diffusion Transformer (DiT) as its core generation architecture and is equipped with a Visual Language Model (VLM) text encoder to enhance the understanding of complex cue words and achieve more accurate image generation and text semantic alignment.
• Train from scratch, not tweak.The model boasts 9.3 billion parameters and was trained entirely from scratch, without fine-tuning any existing image models. Its independent training path creates a unique capability boundary for design-driven image generation, focusing on the native generation of high-quality visual content.
• Structured JSON hint systemThe model introduces a structured JSON suggestion interface, allowing users to describe layout, style, lighting, color, font, and object position in a precise and controllable way. Compared to natural language suggestions, the JSON format provides finer-grained control and reduces the randomness in suggestion engineering.
• Bounding box layout and color palette controlThe technology supports explicit bounding-box layout control, allowing precise placement of subjects and text within specific areas of an image; it also supports palette control via hexadecimal color values, enabling precise customization of image colors.

How to use Ideogram 4

• Online experienceYou can generate images online by directly accessing the Ideogram website.
• Local deploymentDownload the inference code and model weights from GitHub and load and run them using the Diffusers library.
• JSON hintsInput prompts using structured JSON format, allowing for precise control over layout, style, and color.
• Select Quantization VersionChoose either nf4 (CUDA, supports Diffusers) or fp8 (all platforms) version depending on your hardware.

The core advantages of Ideogram 4

• Open source leadershipIt is far ahead in the Design Arena open source model leaderboard, with an Elo score of 1285, far surpassing the second place.
• Design FrontierIts overall ranking is second only to closed-source models such as GPT Image 2, GPT-Image-1.5 and Gemini 3.1 Flash, placing it at the forefront of the design field.
• Precise and controllableJSON hint systems offer more precise image control than natural language.
• High-resolution native output: 2K high-resolution images can be generated directly without super-resolution.
• Non-commercial friendly open sourceThe inference code and weights are fully disclosed to encourage innovation in the research community.

Project address for Ideogram 4

• Project official website: https://ideogram.ai/blog/ideogram-4.0/
• GitHub repositoryhttps://github.com/ideogram-oss/ideogram4
• HuggingFace model libraryhttps://huggingface.co/collections/ideogram-ai/ideogram-4

Ideogram 4 vs. Competitors

Application scenarios of Ideogram 4

• Brand visual designSupports the generation of corporate visual identity materials containing precise brand text, logos, and slogans, such as business cards, letterheads, and illustrations for brand manuals.
• Marketing posters and advertisementsQuickly create promotional posters, event banners, and social media ads, supporting multi-line text layout and precise color control.
• Publication layoutGenerate high-quality graphic and text layout designs for book covers, magazine pages, and album covers, ensuring clear and readable text.
• E-commerce product displayGenerates main product images, product detail page header images, and promotional materials, supporting the placement of product elements and marketing copy in specific areas.
• Social media contentCreate high-quality image and text posts for platforms such as Instagram, Xiaohongshu, and Twitter, supporting native output of various aspect ratios.