GPT Image 2
OpenAI's natively multimodal image model — the default engine behind AI Influencer.
Picking GPT Image 2 as the model for an AI Influencer generation.
What GPT Image 2 does
GPT Image 2 turns a text prompt, an existing photo, or a reference image into a new image — a portrait, a product shot, a scene — while following detailed instructions about composition, style, and text placement.
On AutorunX it's the default model behind AI Influencer: generating consistent, on-brand photos of an AI persona from a short prompt and a reference face, so the same identity can be reused across a shoot.
Key features
Strong multi-constraint instruction-following
Because it's built on the same architecture as GPT rather than a bolted-on diffusion pipeline, GPT Image 2 tends to hold onto every constraint in a dense prompt — exact pose, specific object count, precise text placement — where diffusion-only models start dropping details as prompts get longer.
Reference-guided identity consistency
Feed it one or more reference images — a face, a product, a brand's visual style — and it anchors new generations to that reference, which is exactly what a reusable AI Influencer persona needs across a full photoshoot.
Reliable in-image text rendering
Logos, signage, captions, and other in-scene text render legibly far more often than on most diffusion-based image models, which is useful for banner ads and product shots that need real, readable copy inside the frame.
Image-to-image transformation
Start from an existing photo and transform it — change the setting, outfit, or style — while preserving the underlying subject, rather than generating from a blank prompt every time.
Up to 4K-capable output
Resolution scales up to a 4K-capable tier, giving room to move between fast preview generations and a final high-resolution export.
How GPT Image 2 works
GPT Image 2 generates images token-by-token inside the same multimodal architecture OpenAI uses for GPT itself, rather than running a separate diffusion model behind a text encoder. That native integration is what gives it strong instruction-following — dense prompts with multiple constraints (text overlays, specific poses, exact object counts) tend to hold up better than on diffusion-only models.
It supports three modes: text-to-image generation from a written prompt, image-to-image transformation of an existing photo, and reference-guided generation, where one or more reference images (e.g. a person's face, a product, a brand style) anchor the output so the result stays consistent with the source.
Output resolution scales up to a 4K-capable tier, and the model can render legible text inside an image — logos, signage, captions — more reliably than most diffusion-based competitors.
What people use GPT Image 2 for
AI Influencer persona photos
Generate a consistent set of photos for an AI persona — different poses, outfits, and settings — all anchored to the same reference face for a coherent identity across a shoot.
Product photography
Turn a plain product photo into a styled shot in a new setting or lighting scenario, keeping the product itself accurate and unchanged.
Banner and ad creative with real text
Generate marketing images with legible in-scene text — headlines, calls-to-action, logos — instead of adding text as a separate overlay after generation.
Social content variations
Produce multiple on-brand variations of the same shot for different platforms or campaigns without re-shooting.
Who built GPT Image 2
OpenAI
openai.comOpenAI is the research and product company behind GPT, DALL·E, and Sora. GPT Image 2 is OpenAI's current-generation image model, built on the same natively multimodal architecture as its GPT language models rather than a separate diffusion pipeline bolted onto a text model.
How to use GPT Image 2 on AutorunX
GPT Image 2 is the default model for AI Influencer in Image Lab.
Open AI Influencer in Image Lab
From the AutorunX dashboard, go to Image Lab → AI Influencer. This is the panel for generating and managing a consistent AI persona.
Set your identity reference
Upload or select a reference face/angle set so generations stay consistent with the same persona across shots.
Pick GPT Image 2 in the model picker
GPT Image 2 is the default model for AI Influencer. Open the model picker to confirm it's selected, or compare it against other image models by rate.
Prompt and generate
Describe the shot — pose, setting, outfit, framing — and generate. Save the frames you like back to the persona's angle rail for reuse.
Real AutorunX outputA real AutorunX generation — a studio headshot rendered with GPT Image 2.
Credit usage
Billed per generated image from your shared AutorunX credit wallet.
Tips for better results with GPT Image 2
Give it one clean reference face
For consistent AI Influencer output, use a single clear, well-lit reference image rather than several conflicting angles — the model anchors more reliably to one strong reference.
Be explicit about every constraint
GPT Image 2 rewards specificity — describe pose, lighting, framing, and any in-image text exactly. Vague prompts leave more to chance than they would on a purely stylistic diffusion model.
Use image-to-image for incremental changes
If a generation is close but not right, feed it back in as the input image and describe the specific change, instead of rewriting the prompt from scratch.
Save good frames back to the persona rail
On AutorunX, save frames you like back to the AI Influencer's angle rail so future generations for the same persona have more reference material to stay consistent against.
GPT Image 2 — frequently asked questions
Related models
Veo 3.1
Google's flagship text-to-video and image-to-video model with native synced audio.
Image GenerationNano Banana
Google's Gemini-family image model, nicknamed Nano Banana for its viral photorealistic edits, generates and edits images up to a 4K-capable tier.
Image GenerationSeedream
ByteDance's Seedream generates and edits images from up to ten reference photos, holding identity and composition steady across a full shoot.
Ready to create with GPT Image 2?
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