awesome-ideogram-4.0-prompts

This repository is a curated collection of prompts and example images for Ideogram 4.0, an AI model that generates images from text descriptions. Ideogram 4.0 was released in June 2026 as an open-weight model, meaning anyone can download the underlying model files, run them on their own hardware, and adapt them. The repository is maintained by Evolink, a platform that also offers hosted access to the model.

The collection focuses on four main categories of use: portrait and photorealistic photography, poster and illustration design, typography, and side-by-side comparisons with other image generation models. Ideogram 4.0 is specifically noted for its ability to render text inside images accurately, which is an area where most image generation models historically perform poorly. The model can handle dense blocks of text, multi-language characters, and decorative typography techniques like shaping letters out of rope, all in up to 2K resolution. It also supports transparent backgrounds natively, which is useful for product design and UI mockup work.

Each case entry in the repository shows a real example image sourced from public posts on X (formerly Twitter), creator communities, or launch demonstrations. When the original author published the exact text prompt they used, the repository includes it. When only the result was shared publicly, the prompt is omitted and the source is linked instead. The README states clearly that prompts are never fabricated or guessed.

The comparison cases show Ideogram 4.0 placed against models from OpenAI, Google, and Microsoft on tasks like graffiti lettering, product ads, surrealist imagery, and rendering a glass of water with realistic light refraction. The README notes that Ideogram 4.0 ranked first among open-weight models on a third-party text-to-image leaderboard at launch, behind only closed commercial models.

The repository was created a few days after the model launched and describes itself as an early seed-stage collection, indicating more cases are expected to be added over time.