Generate
Use DeerAPI to call the Generate endpoint with request details, response details, examples, and an OpenAPI playground.
Overview
Use this endpoint to call the Generate workflow through DeerAPI. The API reference on this page shows the request schema, response schema, authentication requirements, and runnable examples for the configured endpoint.Before you start
Use the DeerAPI base URL and pass your API Key in theAuthorization header:
Model selection
Choose a current model ID from the live pricing page. Model availability changes over time, so avoid copying a model ID from an old project without checking the live list first.Implementation notes
- Use the OpenAPI playground for the exact request fields accepted by this endpoint.
- Keep API Keys on the server side when you build production applications.
- Log the request ID from failed calls so support can investigate the request.
- Retry
429,500, and503responses with exponential backoff.
Authorizations
Use a DeerAPI API Key as a Bearer token.
Body
The image generation model to use. Choose a current model from the Models page.
Text description of the image you want to generate.
"A paper boat floating on calm water at sunrise."
Number of images to generate. Keep this at 1 for the broadest compatibility.
Quality setting for models that support it. See the OpenAI image generation guide for the latest model-specific values.
Requested output size. Supported values depend on the selected model. See the OpenAI image generation guide for the latest model-specific ranges.
"1024x1024"
The response container for dall-e-2 and dall-e-3. This parameter is not supported for GPT image models, which return base64-encoded image data.
url, b64_json The encoded image type for GPT image model results, such as png, jpeg, or webp. See the OpenAI image generation guide for current GPT image output controls.
"jpeg"
Response
Image generation result.
Unix timestamp for the completed generation.
Background mode returned by models that expose it.
Encoded image type returned by GPT image models.
Quality level returned by models that expose it.
Output size returned by models that expose it.