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OpenAI Image API for generation and image edits

Connect OpenAI Image API workflows through SeeAPI using GPT Image guides. Distinguish generation from editing and check the selected model’s request fields.

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Working with the OpenAI Image API

  1. 1

    Pick the image task before the model ID

Decide whether your application creates a new asset or modifies an existing one. Open the corresponding GPT Image or GPT-4o image document in this directory.

  • 2

    Translate your application inputs

    Read the selected guide for prompt, image and output settings. Build the request from those fields rather than copying an unrelated SDK example and changing only its base URL.

  • 3

    Verify the complete image flow

    Test the request and returned asset handling together. Give your coding assistant the endpoint Markdown and the way your product stores or displays images.

  • OpenAI Image API: practical questions

    Does this page describe the direct OpenAI API?

    It documents access through SeeAPI. Follow the selected SeeAPI guide for the address, authentication and request envelope.

    Can GPT Image and GPT-4o image calls use identical fields?

    Check the individual documents before switching. Similar image tasks can have different model identifiers and supported options.

    Which guide should I use for an existing image?

    Open an editing or image-to-image entry that accepts your source asset. Review the required image fields before submitting it.

    Are output settings shared by every image model?

    Use the supported settings in the selected guide. Keep them associated with that model instead of assuming a platform-wide set of values.