# Post Processing API

> ᠵᡝᠯᡤᡳᠶᡝᠨ ᡳᠯᡤᠠᠨ ᡳ ᠵᠠᠩᠭᡳ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠂ ᠭᠠᠯᡤᠠᠨ᠂ ᠰᠠᠮᠠᠨ ᡳ ᠵᠠᠰᠠᠯᠠᠮᡝ᠂ ᠵᠠᠩᠭᡳ ᡳ ᠰᠣᠯᡥᠣᠮᡝ᠂ ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᠠᠯᠠᠨ ᡝᡳ ᠣᠯᡥᠣᠨ ᡝᡳ ᠵᡝᠮᡝ ᠪᡳ᠉

ᡝᠮᡠ ᡳᠮᠠᡤᡝᠮᡠ ᠵᠠᠯᡳᠨ ᠠᠮᠪᠠ ᡩᡠᠯᡝᠨ ᡝᠯᡝᠮᡝᠨ ᡝᡵᡝ ᠠᠮᠪᠠᠯᠠᠨ ᡩᡝ ᡝᠮᡠ ᠠᠯᡳᠨ ᡩᡝ ᠠᠯᡳᠨ ᡩᡝ ᡳᠯᡳᠪᡠᠮᡝ ᡳᠯᡳᠪᡠᠨᡳ ᡳᠯᡳᠪᡠᠨᡳ ᡩᡝ `enable_` ᠰᡳᠯᡤᡝᠮᡝ ᡝᠮᡠᠯᡝᠨᡳ ᡳᠯᡳᠪᡠᠨᡳ ᡩᡝ ᡝᠮᡠᠯᡝᠨ ᠠᠵᡳᠯᠠᠮᡝ᠂ ᡝᠨᡳ ᠪᠣᠯᠣᠨ ᡶᠠᠯᡤᠠᠨ᠂ ᡶᠠᠯᡤᠠᠨ ᠵᠠᠰᠠᡴᡡ᠂ ᡝᠨᡳ ᠠᠪᡴᠠᠰᡳᠨᡳ ᠵᠥᠩᡤᡳᠯᡝᠨᡳ ᡩᡝᠯᡝᠪᡠᡵᡝᠨᡳ᠂ ᡝᠮᡠᠯᡝᠨᡳ ᠨᠠᠮᡠᡴᡳᠨᡳ᠂ ᡦᠠᠷᠠᠪᠣᠯᡳᠰᠠᠮᡝ ᡳᠯᡳᠪᡠᠨᡳ ᠪᠠᠨᡠᠮᡝ᠂ ᡩᠠᠯᠵᠠᠨᠠᠮᡝ ᡳᠯᡳᠪᡠᠨᡳ ᠪᡝᠶᡝ ᠪᡝᠶᡝ ᡩᡝ ᡝᠮᡠ ᡝᡵᡝ ᠵᠠᠯᡳᠨ ᠪᠠᡳᠮᡝ᠂ ᠵᠠᠯᡳᠨ ᠪᡝ ᠪᠠᡳᠮᡝ ᠠᠵᡳᠯᠠᠮᡝ᠃ ᡳᠯᡳᠪᡠᠨᡳ ᡩᡝ ᠵᠠᠯᡳᠨ ᠪᡝ `image_url` ᡤᡝᠮᡠ ᡝᠮᡠ ᠪᠠᡳᠨᠠᠮᡝ.

- Model id: `post-processing`
- Made by: Utility
- Category: Image Editing
- Output: image
- Price: $0.001 / request (cheapest run $0.001 (1 API credit))
- Run: `POST https://api.doitong.com/v1/run/post-processing`
- Quote: `POST https://api.doitong.com/v1/quote/post-processing`
- Docs page: https://doitong.com/mnc/developers/models/post-processing

## Pricing

Price: **$0.001 / request**. Billed once per request.

The full example input below costs $0.001 = 1 API credit (1 request × 1 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/post-processing` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | ᠪᡠᠶᡝᠮᡝᡵᡝ ᡤᠠᠳᠠᠨᡳ URL᠉ |
| `enable_grain` |  | boolean | no | `false` |  | ᡶᡳᠯᠮᡳ ᡩᡠᠯᠪᠠᠨᡳ ᠵᡠᠯᡝᠨ᠉ |
| `grain_intensity` |  | number | no | `0.4` | 0 – 1 | ᡶᡳᠯᠮᡳ ᡩᡠᠯᠪᠠᠨᡳ ᠵᡠᠯᡝᠨᡳ ᠠᠮᠪᠠᠨ᠉ |
| `grain_scale` |  | number | no | `10` | 1 – 100 | ᡶᡳᠯᠮᡳ ᡩᡠᠯᠪᠠᠨᡳ ᠵᠠᠯᠠᠨ᠉ |
| `grain_style` |  | enum (string) | no | `modern` | `modern`, `analog`, `kodak`, `fuji`, `cinematic`, `newspaper` | ᡶᡳᠯᠮᡳ ᡩᡠᠯᠪᠠᠨᡳ ᠵᡠᠯᡝᠨ᠉ |
| `enable_color_correction` |  | boolean | no | `false` |  | ᠵᡠᠯᡝᠨᡳ ᠵᡠᠯᡝᠨ ᠣᠮᠪᡳᡵᡝ ᠵᡠᠯᡝᠨ᠉ |
| `temperature` |  | number | no | `0` | -100 – 100 | ᠵᡠᠯᡝᠨᡳ ᠰᡳᠨᡩᠠᠮᠪᡳᡵᡝ ᡝᡵᡤᡝᠨᡳ ᠵᡠᠯᡝᠨ᠉ |
| `brightness` |  | number | no | `0` | -100 – 100 | ᡤᠠᠳᠠᠨᡳ ᠰᡳᠨᡩᠠᠮᠪᡳᡵᡝ ᠰᠠᡳᠨᡳ ᠵᡠᠯᡝᠨ᠉ |
| `contrast` |  | number | no | `0` | -100 – 100 | ᡤᠠ᳠ᠠᠨᡳ ᠰᡳᠨᡩᠠᠮᠪᡳᡵᡝ ᠵᡠᠯᡝᠨᡳ ᠨᡳᡥᡝᠨ᠉ |
| `saturation` |  | number | no | `0` | -100 – 100 | ᡧᠠᠩᡤᠠᠨ ᡩᡝᠯᡤᡳᠯᡝᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡩᠠᠯᡳᠨ |
| `gamma` |  | number | no | `1` | 0.2 – 2.2 | ᡤᠠᠮᠮᠠ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡩᠠᠯᡳᠨ |
| `enable_chromatic` |  | boolean | no | `false` |  | ᡧᠠᠩᡤᠠᠨ ᡳ ᡤᠠᡳᠯᠠᠨ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `red_shift` |  | integer | no | `0` | -20 – 20 | ᡥᠣᠩᡤᠣ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡩᠠᠯᡳᠨ |
| `red_direction` |  | enum (string) | no | `horizontal` | `horizontal`, `vertical` | ᡥᠣᠩᡤᠣ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡵᠠᡤᠠᠨ |
| `green_shift` |  | integer | no | `0` | -20 – 20 | ᡤᠣᠯᠣ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡩᠠᠯᡳᠨ |
| `green_direction` |  | enum (string) | no | `horizontal` | `horizontal`, `vertical` | ᡤᠣᠯᠣ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡵᠠᡤᠠᠨ |
| `blue_shift` |  | integer | no | `0` | -20 – 20 | ᠪᠠᠨᡤᠠ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡩᠠᠯᡳᠨ |
| `blue_direction` |  | enum (string) | no | `horizontal` | `horizontal`, `vertical` | ᠪᠠᠨᡤᠠ ᡩᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡵᠠᡤᠠᠨ |
| `enable_blur` |  | boolean | no | `false` |  | ᠪᡠᠯᡠᡤᡝᠨ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `blur_type` |  | enum (string) | no | `gaussian` | `gaussian`, `kuwahara` | ᠵᡠᠯᡤᡝᠨ ᡳ ᡥᡡᠯᠠᡵᠠ ᡩᠠᡤᠠᠨ |
| `blur_radius` |  | integer | no | `3` | 0 – 31 | ᠪᠠᠯᠠ ᡵᠠᡩᡳᠣᠰᡳ |
| `blur_sigma` |  | number | no | `1` | 0.1 – 10 | ᠭᠠᠦᠰᡤᠠᠨ ᠪᠠᠯᠠ ᡳ ᠰᡳᠭᠮᠠ |
| `enable_vignette` |  | boolean | no | `false` |  | ᡧᠠᠩᡤᠠᠨ ᡶᠠᠯᠠᠨ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `vignette_strength` |  | number | no | `0.5` | 0 – 10 | ᡶᠠᠯᠠᠨ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡝᠯᡳᠨ |
| `enable_parabolize` |  | boolean | no | `false` |  | ᡦᠠᡵᠠᠪᠣᠯᡳᠰᡝ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `parabolize_coeff` |  | number | no | `1` | -10 – 10 | ᡦᠠᡵᠠᠪᠣᠯᡳᠰᡝ ᡳ ᠠᡵᠠᠨ |
| `vertex_x` |  | number | no | `0.5` | 0 – 1 | ᡠᠵᡠ ᡳ ᠴᠣᠯᡤᠣᠨ ᡳ ᠪᠠᠶᡝ |
| `vertex_y` |  | number | no | `0.5` | 0 – 1 | ᡠᠵᡠ ᡳ ᠶᠠᠩᡤᠠᠨ ᡳ ᠪᠠᠶᡝ |
| `enable_tint` |  | boolean | no | `false` |  | ᠰᠠᡳᠨ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `tint_strength` |  | number | no | `1` | 0.1 – 1 | ᠰᠠᡳᠨ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡝᠯᡳᠨ |
| `tint_mode` |  | enum (string) | no | `sepia` | `sepia`, `red`, `green`, `blue`, `cyan`, `magenta`, `yellow`, `purple`, `orange`, `warm`, `cool`, `lime`, `navy`, `vintage`, `rose`, `teal`, `maroon`, `peach`, `lavender`, `olive` | ᠰᠠᡳᠨ ᠵᠠᡶᠠᠨ ᡳ ᡩᠠᡤᠠᠨ |
| `enable_dissolve` |  | boolean | no | `false` |  | ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `dissolve_image_url` |  | string (image URL) | no | `` |  | ᡩᠣᠩᡤᠣ ᡤᠠᠳᠠᠨ ᡳ URL, ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡩᡝ ᠪᠠᡳᡨᠠᠯᠠᠨ |
| `dissolve_factor` |  | number | no | `0.5` | 0 – 1 | ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᠮᡠᠶᠠᠨ |
| `enable_dodge_burn` |  | boolean | no | `false` |  | ᠴᠣᠯᡤᠣᠨ ᡥᡝᠯᡳᠨᠠᡵᠠ ᡥᡡᠯᡝᠨ |
| `dodge_burn_intensity` |  | number | no | `0.5` | 0 – 1 | ᠴᠣᠯᡤᠣᠨ ᡥᡝᠯᡳᠨᠠᡵᠠ ᡥᡝᠯᡳᠨ |
| `dodge_burn_mode` |  | enum (string) | no | `dodge` | `dodge`, `burn`, `dodge_and_burn`, `burn_and_dodge`, `color_dodge`, `color_burn`, `linear_dodge`, `linear_burn` | ᠴᠣᠯᡤᠣᠨ ᡥᡝᠯᡳᠨᠠᡵᠠ ᡩᠠᡤᠠᠨ |
| `enable_glow` |  | boolean | no | `false` |  | ᡤᡳᠯᡤᠠᠨ ᡳ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `glow_intensity` |  | number | no | `1` | 0 – 5 | ᡤᡳᠯᡤᠠᠨ ᡳ ᡥᡝᠯᡳᠨ |
| `glow_radius` |  | integer | no | `5` | 1 – 50 | ᡤᡳᠯᡤᠠᠨ ᡳ ᠪᠠᠯᠠ ᡵᠠᡩᡳᠣᠰᡳ |
| `enable_sharpen` |  | boolean | no | `false` |  | ᡥᡡᠯᡝᠨ ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᡶᠣᠯᡤᠣᡶᠣᠨ ᡳ ᡥᡡᠯᡝᠨ |
| `sharpen_mode` |  | enum (string) | no | `basic` | `basic`, `smart`, `cas` | ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᡩᠠᡤᠠᠨ |
| `sharpen_radius` |  | integer | no | `1` | 1 – 15 | ᠪᠠᠰᡳᠴᠠ ᠵᠠᡶᠠᠨ ᡩᡝ ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᠪᠠᠯᠠ |
| `sharpen_alpha` |  | number | no | `1` | 0.1 – 5 | ᠪᠠᠰᡳᠴᠠ ᠵᠠᡶᠠᠨ ᡳ ᡥᡝᠯᡳᠨ |
| `noise_radius` |  | integer | no | `7` | 1 – 25 | ᠵᡳᠯᠠᠨ ᡳ ᠨᠠᠮᡠ ᠪᠠᠯᠠ |
| `preserve_edges` |  | number | no | `0.75` | 0 – 1 | ᠵᡳᠯᠠᠨ ᡳ ᠪᠠᠯᠠᠮᠪᡝᡵᡝ ᠵᠠᡶᠠᠨ |
| `smart_sharpen_strength` |  | number | no | `5` | 0 – 25 | ᠮᡠᠶᠠᠨ ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᡥᡝᠯᡳᠨ |
| `smart_sharpen_ratio` |  | number | no | `0.5` | 0 – 1 | ᠮᡠᠶᠠᠨ ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᠪᠠᠶᠠᠨ |
| `cas_amount` |  | number | no | `0.8` | 0 – 1 | CAS ᡥᡡᠨᡳᠮᠪᡝᡵᡝ ᡥᡝᠯᡳᠨ |
| `enable_solarize` |  | boolean | no | `false` |  | ᠰᠣᠯᠠᡵᡳᠰᠠᡶᠣᠨ ᠪᡠᠶᡝᠮᠪᡳ |
| `solarize_threshold` |  | number | no | `0.5` | 0 – 1 | ᠰᠣᠯᠠᡵᡳᠰᠠᡶᠣᠨ ᡳ ᠴᠣᠯᡤᠣᠨ |
| `enable_desaturate` |  | boolean | no | `false` |  | ᠰᠠᠩᡤᠠᠨ ᡳ ᡥᡝᠯᡳᠨ ᡩᠠᡤᠠᠯᠠᠮᠪᡳ |
| `desaturate_factor` |  | number | no | `1` | 0 – 1 | ᠰᠠᠩᡤᠠᠨ ᡳ ᡩᡠᠯᡳᠮᠪᡝᡵᡝ ᠵᠠᡶᠠᠨ |
| `desaturate_method` |  | enum (string) | no | `luminance (Rec.709)` | `luminance (Rec.709)`, `luminance (Rec.601)`, `average`, `lightness` | ᠰᠠᠩᡤᠠᠨ ᡳ ᡥᡝᠯᡝᡵᡝ ᡩᠠᡤᠠᠨ |

File parameters (`image`, `dissolve_image_url`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# 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/post-processing?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "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"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/post-processing?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/post-processing", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "post-processing",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "post-processing",
  "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": 1,
    "usd": "0.001",
    "charged": 1,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "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
      }
    ]
  },
  "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"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | ᡩᠠᡶᠠᡥᠠ ᡩᠠᠯᡳᠨ ᡳ ᡤᠠᠳᠠᠨ |

## Related models

- [Post Processing Blur](https://doitong.com/developers/models/post-processing/blur.md) (`post-processing/blur`): $0.001 / image
- [Post Processing Chromatic Aberration](https://doitong.com/developers/models/post-processing/chromatic-aberration.md) (`post-processing/chromatic-aberration`): $0.001 / image
- [Post Processing Color Correction](https://doitong.com/developers/models/post-processing/color-correction.md) (`post-processing/color-correction`): $0.001 / image
- [Post Processing Color Tint](https://doitong.com/developers/models/post-processing/color-tint.md) (`post-processing/color-tint`): $0.001 / image
- [Post Processing Desaturate](https://doitong.com/developers/models/post-processing/desaturate.md) (`post-processing/desaturate`): $0.001 / image
- [Post Processing Dissolve](https://doitong.com/developers/models/post-processing/dissolve.md) (`post-processing/dissolve`): $0.001 / image
- [Post Processing Dodge Burn](https://doitong.com/developers/models/post-processing/dodge-burn.md) (`post-processing/dodge-burn`): $0.001 / image
- [Post Processing Grain](https://doitong.com/developers/models/post-processing/grain.md) (`post-processing/grain`): $0.001 / image

## Links

- HTML page: https://doitong.com/developers/models/post-processing
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=post-processing
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/post-processing