Image Generation

OpenAI's natively multimodal image model — successor to DALL·E 3 in ChatGPT and the API

The model behind the 2025 ChatGPT image-generation relaunch. Native multimodal generation (same model reasons about text and pixels together) gives it dramatically better instruction-following, in-context editing, and text rendering than DALL·E 3. Default choice for API-accessible image gen now.

OpenAI's previous-gen text-to-image model — superseded by GPT Image 1

Superseded by GPT Image 1 for new work — weaker instruction-following and text rendering by comparison. Still reachable via the legacy Images API for existing integrations that have not migrated yet.

Best-in-class aesthetic quality for creative image generation

Unmatched aesthetic quality and photorealism, now with Draft Mode for fast iteration and Omni Reference for consistent characters/objects across generations. Web app has closed most of the gap with Discord for non-API workflows. Best for creative teams, marketing assets, and concept art.

Black Forest Labs next-gen image model with exceptional detail

New leader in open-weight image generation. Superior detail, anatomy, and text rendering. The FLUX.1 Kontext variant extends the family into instruction-based image editing (change one element while preserving the rest) — a genuinely useful addition beyond pure generation. Dev variant is fully open-source. Available on Replicate, fal.ai, and self-hosted.

Stability AI's flagship open model with MMDiT architecture

Best fully open image model for fine-tuning and customization. New MMDiT architecture delivers major quality improvements. Strong LoRA and ControlNet ecosystem.

Text rendering champion — best for logos, posters, and signage

Unmatched at rendering legible text within images, with a big realism jump over v2 and a design-template feature for marketing layouts. Essential for marketing, signage, and design workflows where text accuracy matters. API available for integration.

Commercially safe image generation trained on licensed data

Only major model trained exclusively on licensed/public-domain data. IP indemnification makes it the safest choice for commercial use. Image 4 brought a noticeable quality and prompt-adherence jump over v3, plus an Ultra variant for maximum detail. Deep Creative Cloud integration.

Google DeepMind's highest-fidelity image generation model

Excellent photorealism, prompt adherence, and typography — a clear step up from Imagen 3, with Fast and Ultra variants for different latency/quality tradeoffs. Available via Vertex AI API. Strong safety controls with SynthID watermarking. Good for enterprise use cases requiring Google Cloud.

Real-time image generation in a single diffusion step

Still the fastest open image model — single-step generation in ~200ms. Quality below FLUX and SD3.5 but unbeatable for real-time interactive applications and previews.

Design-focused model excelling at vectors, icons, and illustrations

Best model for design assets — clean vectors, consistent brand styles, and precise icon generation. SVG output support is unique. Excellent for UI/UX designers and brand teams.

Free image generation model with strong community ecosystem

Good free alternative to proprietary models. Community-trained LoRAs extend capabilities. Quality behind FLUX and MJ but improving rapidly. Great for experimentation.

Alibaba Tongyi's fast image generation model

Fast inference with good quality. Strong at Asian-style imagery and CJK text rendering. Available via DashScope API. Interesting for multilingual and APAC use cases.

Sber open-source image model with multilingual understanding

Interesting open-source alternative from Sber. Good multilingual prompt understanding especially for Russian and Cyrillic text. Useful for non-English image generation workflows.