Technical Specifications of gpt-4o-image
| Specification | Details |
|---|---|
| Model ID | gpt-4o-image |
| Model Type | Multimodal image generation model |
| Input Modalities | Text, image |
| Output Modalities | Image |
| Primary Use Cases | Text-to-image generation, image-to-image generation, visual editing, creative asset production |
| Context Support | Text prompts with optional image inputs |
| Streaming | Not typically required for image output workflows |
| Tool / Function Calling | Not applicable for core image generation |
| Response Format | Generated image output, typically returned through API response payload or referenced asset data |
| Best For | Applications that need generated images from prompts, optionally guided by input images |
What is gpt-4o-image?
gpt-4o-image is a multimodal image generation model exposed through CometAPI that is designed to generate images as output, with support for optional image inputs alongside text prompts. It is well suited for products that need to create visual content from natural language descriptions, transform existing images, or build image-driven creative workflows.
Because it can work from prompt-only input or combine prompt instructions with reference imagery, gpt-4o-image fits a wide range of use cases such as concept art generation, marketing creatives, product mockups, design exploration, and iterative visual editing. Through CometAPI, developers can access gpt-4o-image using a consistent API integration pattern across providers and models.
Main features of gpt-4o-image
- Text-to-image generation: Create original images from natural language prompts for creative, design, and production workflows.
- Image-conditioned generation: Use one or more input images to guide composition, style, subject matter, or transformations.
- Visual iteration: Refine outputs across repeated requests by adjusting prompt details and image references.
- Creative flexibility: Support a broad range of visual use cases, including illustrations, marketing assets, mockups, and conceptual design.
- Multimodal prompting: Combine descriptive text with image inputs to achieve more controlled and context-aware results.
- Developer-friendly access: Integrate
gpt-4o-imagethrough CometAPI’s unified model access layer and standardized API workflow.
How to access and integrate gpt-4o-image
Step 1: Sign Up for API Key
Sign up on CometAPI and create an API key from the dashboard. After generating your key, store it securely and use it to authenticate requests to the CometAPI endpoint.
Step 2: Send Requests to gpt-4o-image API
Use CometAPI’s OpenAI-compatible API format and set the model field to gpt-4o-image.
curl --request POST \
--url https://api.cometapi.com/v1/responses \
--header "Authorization: Bearer $COMETAPI_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-4o-image",
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "Generate a clean modern product poster for a smartwatch on a soft studio background." }
]
}
]
}'
You can also include image inputs in the request when building image-to-image or guided generation workflows, depending on your application’s needs.
Step 3: Retrieve and Verify Results
Read the API response, extract the generated image result from the returned output structure, and verify that the image matches your prompt, formatting expectations, and application requirements before displaying it to end users or storing it in your system.