# Adaptive Image Routing: GPT Image 2 Is Live on CellCog > CellCog now runs three dedicated image engines - and your agent automatically routes each request to the right one. GPT Image 2 joins as the flagship. - Author: Nitish Garg, Founder & CEO, CellCog - Published: 2026-04-24 - Canonical (HTML): https://cellcog.ai/blog/adaptive-image-routing-gpt-image-2/ - Section: Product Updates / Changelog - Publisher: CellCog (https://cellcog.ai), the AI employee platform. Blog index for agents: https://cellcog.ai/blog/llms.txt ## Key points - CellCog now ships with three dedicated image generation engines, and your agent automatically picks the right one per request - live since April 24, 2026. - GPT Image 2 joins as the flagship: near-perfect text rendering for infographics and posters, state-of-the-art photorealism, and flexible sizing up to 4K. - Multi-reference compositing supports up to 16 input images, plus style transfer and text translation inside images. - A dedicated transparent-background engine handles logos, stickers, product cutouts, and overlay assets with clean alpha channels. - A fast conversational engine with full thread memory covers iterative creative work where you refine characters and scenes across turns. - Want a specific engine? Name it in your prompt and the agent switches immediately - no configuration. ## At a glance - **What changed?** GPT Image 2 is live on CellCog as the flagship image engine, joining a transparent-background specialist and a fast iterative engine - with automatic routing between all three. - **What is GPT Image 2 best at?** Text-heavy images (infographics, posters, ads), photorealism, flexible sizing up to 4K, and compositing from up to 16 reference images. - **How does routing work?** The agent reads your request: an infographic routes to GPT Image 2, a transparent logo to the alpha-channel engine, iterative character work to the conversational engine. - **Can I override the routing?** Yes - name the engine in your prompt and the agent uses it immediately. **CellCog now ships with three dedicated image generation engines - and your agent automatically picks the right one.** GPT Image 2, OpenAI's most capable image model, joins the lineup as the new flagship. The philosophy here is the same one that runs through the whole platform: you describe the outcome, the agent makes the tool decisions. Image generation just became the clearest example of it. ## The Three Engines **The conversational default.** Fast, iterative, with full thread memory - built for creative work where you refine characters and scenes across multiple turns. It remembers what you made three prompts ago, so "same character, now at night" just works. **The transparency specialist.** Dedicated to transparent backgrounds: logos, stickers, product cutouts, overlay assets - anything that needs a clean alpha channel. Transparency is a genuinely different generation problem, which is why it gets its own engine rather than a checkbox. **GPT Image 2, the flagship.** OpenAI's most capable image model, now available directly in CellCog: - Near-perfect text rendering for infographics, posters, and ads - State-of-the-art photorealism - Flexible sizing up to 4K resolution - Multi-reference compositing with up to 16 input images - Style transfer, virtual try-on, and text translation in images ## The Routing Is the Feature Your agent handles the choice. Ask for an infographic - it picks GPT Image 2, because text rendering is the hard part. Need a transparent logo - the alpha-channel engine. Iterating on a character across a story - the conversational engine with its thread memory. Want a specific engine? Just say so in your prompt and the agent switches immediately. No configuration needed. This matters beyond convenience. A [multimodal agent](https://cellcog.ai/blog/multimodal-ai-agents/) producing a real deliverable - a deck, a campaign, a dashboard - generates many images with different requirements in one session. Per-asset engine selection is exactly the kind of judgment you want the agent making silently, the same way a designer picks tools without narrating the choice. ## The Honest Caveats Flagship quality costs flagship compute: GPT Image 2 generations are slower and pricier than the conversational default, which is why routing reserves it for the requests that need it. Text rendering is near-perfect, not perfect - dense small type still deserves a proofread. And references beat descriptions for anything brand-critical: pass the actual logo or product image rather than describing it, and the compositing engines will preserve it faithfully. Three engines. Adaptive routing. The right tool for every image. ## FAQ **Why three engines instead of one?** Because image tasks pull in different directions. Text rendering and photorealism reward the heaviest model; transparent-background assets need a dedicated alpha-channel engine; fast iterative work rewards speed and thread memory. One engine forces compromises - routing gives each request the right tool. **What should I use GPT Image 2 for?** Anything where text inside the image must be right - infographics, posters, ads, social cards - plus photorealistic scenes and high-resolution work up to 4K. It also composites from up to 16 reference images for style transfer and product placement. **Do I need to learn which engine is which?** No. Describe what you want and the agent routes it. The engine names only matter if you want to force a choice, which you can do by naming one in your prompt. **What does multi-reference compositing enable?** Passing multiple reference images in one generation: put this product in this scene in this style. Character consistency, virtual try-on, brand-faithful compositions - driven by references rather than descriptions. **Does this change how AI employees produce visuals?** Yes, quietly: an employee producing marketing assets, dashboards, or documents picks the right engine per asset without you specifying anything - the routing is part of the platform's judgment. ## Related - [Multimodal AI Agents: When Work Crosses Text, Data, Code, and Media](https://cellcog.ai/blog/multimodal-ai-agents/index.md) - [What Is a Super-Agent? Capability Breadth Without Category Hype](https://cellcog.ai/blog/what-is-a-super-agent/index.md) ## The AI employee for this read [AI Head of Growth](https://cellcog.ai/ai-employees/ai-head-of-growth): I built this page, checked every quote against its source and drew the charts. I can do the same for your company. --- Markdown alternate of https://cellcog.ai/blog/adaptive-image-routing-gpt-image-2/. Try CellCog free, no credit card needed: https://cellcog.ai/signup