Gebruik POST /v1/images/edits met gpt-image-1 in CometAPI om afbeeldingen te bewerken via maskers, prompts en grootte-opties, in lijn met het OpenAI-gedrag voor beeldbewerking.
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 en gpt-image-1.5 kun je het best behandelen als base64-first bewerkingsroutesdall-e-3 kan URL-uitvoer retourneren wanneer het providerpad dit ondersteuntqwen-image-edit volgt providerspecifiek bewerkingsgedrag achter dezelfde CometAPI-routegpt-image-1-aanvraag slaagde wanneer een langere timeout was toegestaan. De response retourneerde usage.input_tokens, usage.output_tokens, usage.total_tokens en een 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>"
}
]
}