GPT Image 2 AI Image Generator
Use GPT Image 2 on Epochal for AI image generation and reference-led editing, with size preset, quality, output count, and export format controls.
What is GPT Image 2?
GPT Image 2 is the GPT image model workflow available on this page. OpenAI's image generation documentation describes the GPT image stack as supporting both image generation and image editing from text and uploaded images. In Epochal, the same model is currently exposed through prompt-led generation and reference-led editing, with controls for size preset, quality, output count, and export format.
Key Capabilities
Prompt-Based Generation and Editing
GPT Image 2 can be used either from a written prompt or from existing images. In the current Epochal workbench, that means a text-to-image workflow and a reference-led image-to-image workflow built around the same model.
Size Preset Control
Epochal currently exposes the 6 official GPT Image 2 size presets, while the editing workflow also adds an auto option. Pick the frame before the first run so the output is judged in the right composition.
Quality Selection
The current implementation exposes low, medium, and high quality modes. That keeps cost and output intent visible before generation starts.
Multi-Output Comparison
Both public workflows can return one to four images per run. That is useful when you want to compare several prompt-consistent directions before choosing the next pass.
Export Format Choice
Epochal currently exposes JPEG, PNG, and WEBP output. Set the file format up front when the result is already headed toward a specific delivery path.
How to Use GPT Image 2 for Images
Begin with a written image request, or switch to the related editing workflow when you already have a source image to revise. The same model page is meant to support both directions.
Set image size and quality in the workbench first. That keeps cost, composition, and output intent visible before the model starts the run.
Use one image when the direction is already clear, or increase the output count when you want a few variations from the same prompt or edit instruction.
Choose JPEG, PNG, or WEBP according to the next step in your workflow, then keep iterating from the prompt or move into reference-led editing when the image direction is established.
Pricing & Credits
Each generation with GPT Image 2 consumes credits inside Epochal.
Processing time varies with quality, image size, output count, prompt density, and queue state.
Use the active workflow cost shown on the page as the current GPT Image 2 credit reference. Higher quality settings, larger presets, and more outputs increase total credits.
Use Cases
First-pass concept generation
Use GPT Image 2 when you want to see how one written brief lands across a small set of outputs before you lock the direction.
Reference-led image revision
Switch to the related editing workflow when the base image already exists and the next job is to restyle, revise, or refine it without changing models.
Compare controlled variants
It is useful when the main job is to compare one to four outputs under the same size and quality settings before choosing the next pass.
Format-aware still image production
The current page is practical when file format matters early and the result is already headed toward a JPEG, PNG, or WEBP delivery flow.
Output & Quality
The current public GPT Image 2 page should be read as a GPT image workflow that covers both fresh generation and reference-led editing. Epochal keeps image size, quality, output count, and export format visible up front, while the related editing workflow also adds reference image input and an auto size option. Because this page only relies on OpenAI's general image-generation documentation plus implementation-verified facts, you should judge results against your prompt, source images, and selected settings rather than unsupported model-ranking claims.
- - Starting from a text brief or refining one existing image
- - Comparing multiple outputs under the same settings
- - Runs where size, quality, and export format should stay visible before generation
- - Simple reference-led editing loops in the same workbench
- - The current public editing workflow supports reference image input, but does not expose broader edit controls such as mask-based editing on this model page.
- - Current size control is limited to the presets exposed in this workbench rather than every possible custom size supported elsewhere.
FAQ
What controls does GPT Image 2 expose on Epochal?
In the current Epochal workbench, GPT Image 2 exposes image size preset, quality, number of images, and output format. The related editing workflow also adds reference image input plus an auto size option.
How many images can GPT Image 2 return per run?
The current public workflow supports one to four images from the same prompt.
Can I use GPT Image 2 for both generation and editing?
Yes. In the current Epochal workbench, GPT Image 2 is available as a text-to-image workflow and as a reference-led image-to-image workflow.
What affects GPT Image 2 credits the most on this page?
Quality, image size preset, selected number of outputs, and how many reference images you include in the editing workflow have the biggest effect on the current credit estimate.
Which file formats can I export from GPT Image 2?
The current workbench exposes JPEG, PNG, and WEBP output for GPT Image 2.
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