Create OpenAI 2.0 Image via HTTP or MCP

Create OpenAI gpt-image-2 images from Breyta, HTTP, or MCP. Breyta reviews each image with vision analysis, checks audience fit and artifacts, retries once if needed, and returns the reviewed result.

Created by Chris Moen • Version 17 • 12 steps

Use this app

OpenAI image generator with vision review

Create OpenAI gpt-image-2 images from Breyta, an HTTP API, or an MCP tool. This app generates an image from your prompt, reviews the result with vision analysis, and retries once when the first image has quality issues, artifacts, or weak audience fit.

Use it when you want an AI image generator that does more than return the first result. Breyta checks the image before it gives you the final output.

What this app does

• Generates one final image from your prompt with OpenAI gpt-image-2
• Reviews the image for prompt fit, visual artifacts, hallucinated details, fake logos, unreadable text, and composition quality
• Checks how the image is likely to feel to the intended audience
• Runs one corrected second pass when the first image does not meet the pass threshold
• Returns the best reviewed image with the review notes and settings

Who it is for

This app is useful for builders, marketers, product teams, and agents that need reviewed AI images through an API or tool call. It works well for product visuals, campaign concepts, editorial images, social images, landing page assets, and agent-created image drafts.

How it works

Start the app manually in Breyta, call the HTTP endpoint, or use the MCP tool from an agent client. Enter a prompt, choose the image size and quality, and optionally describe the intended audience.

Breyta sends the prompt to OpenAI gpt-image-2, persists the generated image as a Breyta resource, then reviews the image with a vision-capable OpenAI model. The review scores the image and looks for hallucinations, visual artifacts, off-brief details, and audience mismatch.

If the image passes, the run returns it. If it does not pass, Breyta builds a corrected prompt from the review and generates one more image. The final output is the first passing image, or the highest-scoring attempt if both attempts have issues.

Setup

No OpenAI API key is required from the installer. The OpenAI image and vision review connections are provided by the app author.

You only need access to this paid Breyta app and a prompt for the image you want to create.

Inputs

• Prompt: describe the image to create
• Intended audience: optional context for audience-fit review
• Size: square, landscape, portrait, or auto
• Quality: low, medium, high, or auto

Clear prompts produce better images and more useful review notes. Add audience context when tone, trust, style, or brand fit matters.

Output

The run returns a Markdown result with:

• The final generated image
• Review verdict and score
• Number of attempts used
• Audience reaction
• Prompt-fit notes
• Hallucinations, artifacts, or unwanted details found by the review
• Quality issues found by the review
• Prompt, size, quality, and intended audience settings

The image is persisted as a Breyta resource so it can be opened, downloaded, or referenced from the run output.

HTTP and MCP use

Use the HTTP interface when you want image generation from another service, backend, or automation.

Use the MCP tool when you want an agent, such as Claude Code or another MCP client, to create reviewed OpenAI images through a tool call.

The MCP tool name is create_openai_2_image.

Pricing and limits

Choose the image pack that fits your usage:

• Starter: $10 for 25 successful image runs
• Creator: $25 for 80 successful image runs
• Studio: $75 for 300 successful image runs

Creator is the default plan. The first 3 successful runs are free trial runs.

Usage is counted per successful run. A successful run may include one image generation attempt or one corrected retry, depending on the vision review. Failed, canceled, timed-out, and terminated runs do not consume the run allowance.

High quality and larger portrait or landscape images can take longer to generate.

Common failure cases

The run can fail if OpenAI is unavailable, the prompt is rejected by provider safety systems, image generation times out, or the review model cannot inspect the generated image. When this happens, the run shows the failed step and does not count as a successful paid run.