Gunakan POST /v1/images/edits dengan gpt-image-1 di CometAPI untuk mengedit gambar melalui mask, prompt, dan opsi size, selaras dengan perilaku edit gambar OpenAI.
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, dan gpt-image-1.5 paling baik diperlakukan sebagai route edit yang mengutamakan base64dall-e-3 dapat mengembalikan output URL ketika jalur provider mendukungnyaqwen-image-edit mengikuti perilaku edit khusus provider di balik route CometAPI yang samagpt-image-1 berbasis PNG berhasil saat diberi timeout yang lebih panjang. Respons mengembalikan usage.input_tokens, usage.output_tokens, usage.total_tokens, dan payload data[0].b64_json.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>"
}
]
}