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Inpainting sdxl and sd

Integrate

Model id inpaint
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/inpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

This request: ≈$0.029 29 API credits Run it on this page

Get API key
Open model Image Editing #editing#diffusion

Inpaints masked regions of an image using any chosen SD or SDXL base model

Open model · Image

Your first result goes here

Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.

Build a request

Controls are generated from the model schema. The code and the price update as you change them.

•required

Describe the image you want generated, using as much detail as possible to get the best results.

•required image_url
Drop a file, or

Source image used in img2img or inpaint mode.

•required mask_url
Drop a file, or

Inpainting mask whose white regions mark where to inpaint and whose black regions protect existing content.

•required

Base model for generating the image, identified by either a URL or a HuggingFace ID.

Advanced negative_prompt · num_inference_steps · guidance_scale · seed · enable_safety_checker
default

Negative prompt specifying image details to exclude, including colors, objects, scenery, or finer features. Examples include a moustache, blur, or low resolution.

default 30

Control how many generation steps Stable Diffusion performs; additional steps may yield a more detailed final image.

default 7.5

Prompt-adherence strength for image selection, expressed as CFG (Classifier Free Guidance).

Seed for reproducing images in Stable Diffusion. An image can be reproduced exactly on every run by keeping the model version, prompt, and seed unchanged.

POST /run/inpaint?wait=20 quote → $0.029
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/inpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

Run this request

Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key

About Inpainting sdxl and sd

Fills in the masked area of an image according to a `prompt`. You choose the base checkpoint through `model_name` (a URL or HuggingFace ID). In `mask_url`, white areas are repainted and black areas are kept. Supports `negative_prompt`, `num_inference_steps` (0 to 150), `guidance_scale` (0 to 20) and `seed`.

Parameters

Send either the canonical name or the native name, not both. Canonical names

NameType DefaultAllowed Description
model_namerequired
Typestring
Base model for generating the image, identified by either a URL or a HuggingFace ID.
promptrequired
Typestring
Describe the image you want generated, using as much detail as possible to get the best results.
negative_promptoptional
Typestring
Default
Negative prompt specifying image details to exclude, including colors, objects, scenery, or finer features. Examples include a moustache, blur, or low resolution.
image_urlrequired image
Typeurl · image
Source image used in img2img or inpaint mode.
mask_urlrequired mask
Typeurl · image
Inpainting mask whose white regions mark where to inpaint and whose black regions protect existing content.
num_inference_stepsoptional
Typeinteger
Default30
0 – 150
Control how many generation steps Stable Diffusion performs; additional steps may yield a more detailed final image.
guidance_scaleoptional
Typenumber
Default7.5
0 – 20
Prompt-adherence strength for image selection, expressed as CFG (Classifier Free Guidance).
seedoptional
Typeinteger | null
Seed for reproducing images in Stable Diffusion. An image can be reproduced exactly on every run by keeping the model version, prompt, and seed unchanged.
enable_safety_checkeroptional
Typeboolean
Defaulttrue
Screening can be relaxed by setting false, provided the caller is authorized.
required Canonical name, also accepted

File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files

Output

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "inpaint",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 29,
    "usd": "0.029",
    "charged": 29,
    "refunded": 0
  },
  "input": {
    "model_name": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
Your files, your choiceEvery outputs[].url is a copy on our storage: kept forever (paid per GB-month) or 7 days for free, by your account setting or ?storage=.
Same shape on every modeltype, url, content_type, width, height and duration, for images, video and audio alike. output is the model’s own result object.
Fields of output
image
object {url, content_type, file_name, file_size, width, height}File information for the generated images.
seed
integerImage-generation seed, including the randomly chosen value if the input omitted a seed; otherwise, it repeats the supplied value.

For AI agents: this page as Markdown is at https://doitong.com/en-US/developers/models/inpaint.md. All models and guides: https://doitong.com/developers/llms.txt