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Image Editing

The image editing endpoint allows you to edit images using AI models. Simply provide an input image URL and a prompt describing the edits you want to make. To see the list of models that support image editing, visit the Models page and filter by “Image to Image”. 
curl -X POST \
  https://hub.oxen.ai/api/images/edit \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
    "model": "Qwen/Qwen-Image-Edit",
    "input_image": "https://example.com/image.png",
    "prompt": "Add a funny hat to the ox",
    "num_inference_steps": 28
  }'
For models that support multiple input images, you can pass an array of image URLs: 
curl -X POST \
  https://hub.oxen.ai/api/images/edit \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
    "model": "Qwen/Qwen-Image-Edit",
    "input_image": [
      "https://example.com/image1.png",
      "https://example.com/image2.png"
    ],
    "prompt": "Add a funny hat to the ox",
    "num_inference_steps": 28
  }'

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Parameters

  • model: The model identifier to use for image editing (e.g., Qwen/Qwen-Image-Edit)
  • input_image: URL of the input image(s) you want to edit. Can be a string (single image URL) or an array of strings (multiple image URLs) for models that support multiple images as input
  • prompt: Text description of the edits you want to make
  • num_inference_steps: Number of inference steps (optional, defaults vary by model)

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Playground Interface

The model playground allows you to quickly test out the boundaries of any model in the UI. This is a great way to experiment with different prompts and see how the model performs before integrating it into your application. Image editing playground The generated images automatically get saved to a dataset that you can share with your team, download and use to train your own model, or use in your application.