curl --request POST \
  --url https://api.synapsai.cloud/v1/images/edits \
  --header 'Content-Type: multipart/form-data' \
  --form 'image=<string>' \
  --form 'mask=<string>' \
  --form 'prompt=<string>' \
  --form 'negative_prompt=<string>' \
  --form n=1 \
  --form output_format=png \
  --form response_format=url \
  --form 'size=<string>' \
  --form blur_factor=123 \
  --form padding_mask_crop=123 \
  --form strength=0.5 \
  --form seed=123 \
  --form num_inference_steps=50 \
  --form guidance_scale=7.5 \
  --form image.0='@example-file' \
  --form mask.0='@example-file'

import requests

url = "https://api.synapsai.cloud/v1/images/edits"

files = {
    "image.0": ("example-file", open("example-file", "rb")),
    "mask.0": ("example-file", open("example-file", "rb"))
}
payload = {
    "image": "<string>",
    "mask": "<string>",
    "prompt": "<string>",
    "negative_prompt": "<string>",
    "n": "1",
    "output_format": "png",
    "response_format": "url",
    "size": "<string>",
    "blur_factor": "123",
    "padding_mask_crop": "123",
    "strength": "0.5",
    "seed": "123",
    "num_inference_steps": "50",
    "guidance_scale": "7.5"
}

response = requests.post(url, data=payload, files=files)

print(response.text)

{
  "model": "<string>",
  "created": 123,
  "id": "<string>",
  "data": [
    {
      "url": "<string>",
      "b64_json": "<string>"
    }
  ],
  "size": "<string>",
  "output_format": "<string>"
}