Campaigns, Packaging, and Brand Creative
Generate product launches, social ads, posters, and packaging concepts with clearer hierarchy and stronger copy fidelity.
OpenAI image generation
GPT Image 2: High-Fidelity AI Image Generation and Editing
Create from text, refine existing images, and combine references with OpenAI's recommended default image model for new production workflows.
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Example Gallery
See sample outputs for Image to Image in the Meta Muse Video workspace
What You Can Create with GPT Image 2
Explore official GPT Image 2 examples across precise editing, typography, compositing, product work, and visual storytelling.
High-Value GPT Image 2 Use Cases
Designed for work where visual quality, precise edits, readable text, and fewer reruns matter.
Precision Editing and Product Visualization
Swap objects, restage lighting, prepare mockups, and preserve product or identity details across targeted changes.
Editorial and Visual Storytelling
Build consistent illustration anchors, cinematic scenes, educational graphics, and story-driven image sequences.
02Recommended default
Why GPT Image 2 Is Built for Production Image Work
Stronger first-pass quality helps teams spend less time rerunning prompts and more time refining the final asset.
High-Fidelity, Constraint-Aware Editing
Tell the model what to change and what must stay fixed. Preserve identity, geometry, camera angle, lighting, and brand details while making targeted edits.
Better Text-Heavy Visuals
Create posters, packaging concepts, infographics, and campaign layouts with stronger text rendering. Exact wording and placement may still benefit from iteration.
Generation, Editing, and Compositing
Move from blank-canvas generation to multi-image composition, product mockups, style transfer, virtual try-on, and identity-sensitive scene edits.
GPT Image 2 for Real Creative Workflows
A versatile image model for customer-facing assets, editing-heavy flows, and brand-sensitive creative.
Choose the Right Fidelity
Use lower quality for fast drafts, then move to medium or high when the final asset needs more polish.
Low, medium, or high quality
Edit Without Complex Tools
Describe targeted changes in plain language while preserving the parts of the image that already work.
Natural-language control
Know the Cost Before You Run
Review the required credits in the generator and pay only when you create an image.
Transparent credit cost
Strong First-Pass Results
Better generation and editing reliability can reduce manual review and repeated runs on production assets.
Fewer retries
Fit More Delivery Formats
Create square, portrait, landscape, widescreen, and other valid dimensions for campaigns and content systems.
Flexible aspect ratios
One Model, More Workflows
Handle product visuals, text-led campaigns, compositing, story art, and precision edits from the same workspace.
Generation plus editing
A Reliable GPT Image 2 Workflow
Start with a clear goal, separate changes from invariants, and refine one decision at a time.
Step 1: Start from text or references
Describe a new image or upload one or more references for controlled editing and composition.
Step 2: State the goal and constraints
Specify scene, subject, style, exact text, and intended use. For edits, list what should change and what must remain untouched.
Step 3: Generate, inspect, and refine
Review text, identity, edges, and layout. Make small follow-up changes instead of overloading one prompt.
GPT Image 2 FAQs
Current answers based on OpenAI's official image generation documentation.
The official Image API model ID is 'gpt-image-2'. OpenAI recommends it as the default for new image generation and editing builds.
Generate and Edit Images with GPT Image 2
Start from a prompt or reference image, keep the details that matter, and refine the result in one workspace.