Bruk POST /v1/images/edits med gpt-image-1 i CometAPI for å redigere bilder via masker, prompts og størrelsesalternativer, i tråd med OpenAI sin oppførsel for bilderedigering.
curl --request POST \
--url https://api.cometapi.com/v1/images/edits \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: multipart/form-data' \
--form 'prompt=Add a small red ribbon to the paper boat.' \
--form image='@example-file' \
--form mask='@example-file'{
"created": 1773381100,
"usage": {
"input_tokens": 226,
"input_tokens_details": {
"image_tokens": 194,
"text_tokens": 32
},
"output_tokens": 4160,
"total_tokens": 4386
},
"data": [
{
"b64_json": "<base64-image-data>"
}
]
}gpt-image-1, gpt-image-1-mini, og gpt-image-1.5 behandles best som base64-først redigeringsruterdall-e-3 kan returnere URL-utdata når provider-stien støtter detqwen-image-edit følger provider-spesifikk redigeringsatferd bak den samme CometAPI-rutengpt-image-1-forespørsel lyktes når den fikk lengre timeout. Svaret returnerte usage.input_tokens, usage.output_tokens, usage.total_tokens og en data[0].b64_json-payload.Bearer token authentication. Use your CometAPI key.
Source image file. Start with one PNG or JPG input for the simplest flow.
Edit instruction describing the change you want.
"Add a small red ribbon to the paper boat."
The image editing model to use. Choose a current model from the Models page.
Optional PNG mask. Transparent areas indicate regions that should be edited.
Number of edited images to return.
Quality setting for models that support it.
high, medium, low Requested output format when supported by the selected model.
url, b64_json Requested output size when supported by the selected model.
curl --request POST \
--url https://api.cometapi.com/v1/images/edits \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: multipart/form-data' \
--form 'prompt=Add a small red ribbon to the paper boat.' \
--form image='@example-file' \
--form mask='@example-file'{
"created": 1773381100,
"usage": {
"input_tokens": 226,
"input_tokens_details": {
"image_tokens": 194,
"text_tokens": 32
},
"output_tokens": 4160,
"total_tokens": 4386
},
"data": [
{
"b64_json": "<base64-image-data>"
}
]
}