# Pixal3d API

> Pretvori eno sliko v teksturiran 3D-model GLB z natančnim nadzorom nad vsako fazo ustvarjanja

Sprejme eno sliko in vrne model GLB ter uporabljeno seme. Stopnje strukture, oblike in teksture imajo vsaka svoje nastavitve usmerjanja, ponovnega skaliranja, števila korakov in razporeda šuma. Izhodna `resolution` je 1024 ali 1536, `texture_size` je 1024, 2048 ali 4096, `decimation_target` pa nastavi število oglišč od 5000 do 1586021. `remesh` ponovno zgradi topologijo.

- Model id: `pixal3d`
- Made by: Open model
- Category: Image to 3D
- Output: 3d
- Price: from $0.30 / request (cheapest run $0.30 (300 API credits))
- Run: `POST https://api.doitong.com/v1/run/pixal3d`
- Quote: `POST https://api.doitong.com/v1/quote/pixal3d`
- Docs page: https://doitong.com/sl/developers/models/pixal3d

## Pricing

Price: **from $0.30 / request** (the lowest tier; the quote prices your exact input). Billed once per request.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 1536: $0.42 (420 API credits) / request

The full example input below costs $0.30 = 300 API credits (1 request × 300 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/pixal3d` 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 |  |  | URL izvorne slike za pretvorbo v 3D. |
| `seed` |  | integer \| null | no |  |  | Seme za ponovljivo naključno ustvarjanje. |
| `resolution` |  | enum (integer) | no | `1024` | `1024`, `1536` | Ločljivost izhoda; povečanje doda podrobnosti, vendar traja dlje. |
| `ss_guidance_strength` |  | number | no | `7.5` | 0 – 10 | Nadzor zvestobe začetne 3D-strukture: višja vrednost daje boljše ujemanje z vhodno sliko, vendar lahko povzroči več šuma. |
| `ss_guidance_rescale` |  | number | no | `0.7` | 0 – 1 | Nadzor artefaktov vodenja 1. faze; pri nizkih nastavitvah omogoča močnejše učinke vodenja, pri visokih pa stabilnejši izhod. |
| `ss_sampling_steps` |  | integer | no | `12` | 1 – 50 | Število korakov odstranjevanja šuma začetne strukture: dodatni koraki lahko izboljšajo kakovost, vendar upočasnijo obdelavo. |
| `ss_rescale_t` |  | number | no | `5` | 1 – 6 | Nastavite ostrino prehodov z razporedom šuma pri ustvarjanju strukture: višja vrednost ustvari ostrejše prehode. |
| `shape_slat_guidance_strength` |  | number | no | `7.5` | 0 – 10 | Nadzor zvestobe podrobne geometrije: večje ujemanje z vhodno sliko doda podrobnosti, vendar lahko povzroči več šuma. |
| `shape_slat_guidance_rescale` |  | number | no | `0.5` | 0 – 1 | To nastavitev povečajte, ko je geometrija videti šumna: zmanjša artefakte, ki jih povzroči močno vodenje med fazo oblike. |
| `shape_slat_sampling_steps` |  | integer | no | `12` | 1 – 50 | Število korakov odstranjevanja šuma za izboljšanje oblike: dodatni koraki lahko zgladijo geometrijo, vendar zmanjšajo hitrost. |
| `shape_slat_rescale_t` |  | number | no | `3` | 1 – 6 | Nastavite ostrino geometrijskih podrobnosti z razporedom šuma pri izboljšanju oblike; višja vrednost ustvari ostrejše podrobnosti. |
| `tex_slat_guidance_strength` |  | number | no | `1` | 0 – 10 | Nadzor zvestobe barv teksture: večje ujemanje z barvami vhodne slike pri višjih nastavitvah poveča živahnost, vendar lahko povzroči prenasičenost. |
| `tex_slat_guidance_rescale` |  | number | no | `0` | 0 – 1 | To nastavitev povečajte za odpravljanje šumnih tekstur ali barvnih pasov: zmanjša artefakte, ki jih povzroči močno vodenje med fazo teksture. |
| `tex_slat_sampling_steps` |  | integer | no | `12` | 1 – 50 | Število korakov odstranjevanja šuma za ustvarjanje tekstur. Večje število traja dlje, vendar lahko ustvari čistejše teksture. |
| `tex_slat_rescale_t` |  | number | no | `3` | 1 – 6 | Nastavite ostrino podrobnosti teksture z razporedom šuma pri ustvarjanju teksture; višja vrednost ustvari ostrejše podrobnosti. |
| `mesh_scale` |  | number | no | `1` | 0.1 – 4 | Prilagodite merilo izpeljane mreže, da vplivate na oceno razdalje kamere, ki jo uporablja model. |
| `max_num_tokens` |  | integer | no | `49152` | 4,096 – 131,072 | Zgornja meja žetonov HR za kaskadni vzorčevalnik oblike, ki pri višjih nastavitvah omogoča natančnejšo geometrijo, pri nižjih pa prihrani pomnilnik in čas obdelave. |
| `decimation_target` |  | integer | no | `200000` | 5,000 – 1,586,021 | Ciljna zapletenost mreže, izražena s številom oglišč končnega rezultata. Zmanjšanje velikosti datoteke z znižanjem cilja pomeni tudi manj podrobnosti. |
| `texture_size` |  | enum (integer) | no | `2048` | `1024`, `2048`, `4096` | Ločljivost teksture mreže za pečenje. Pri višji ločljivosti so površinske podrobnosti natančnejše, datoteke pa večje. |
| `remesh` |  | boolean | no | `true` |  | Obnova topologije mreže, ki na splošno koristi nadaljnji uporabi z ustvarjanjem čistejših trikotnikov, vendar podaljša obdelavo. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Preverjanje je mogoče omiliti z nastavitvijo false, če je klicatelj pooblaščen. |

File parameters (`image`) 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/pixal3d?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/pixal3d?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/pixal3d", 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": "pixal3d",
      "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": "pixal3d",
  "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": 300,
    "usd": "0.30",
    "charged": 300,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "model_glb": {
      "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
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "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 |
|---|---|---|
| `model_glb` | object {url, content_type, file_name, file_size} | 3D-model, ustvarjen v obliki GLB. |
| `seed` | integer | Dejansko uporabljena vrednost semena. |

## Related models

- [ReconViaGen 0.5](https://doitong.com/developers/models/reconviagen-0.5.md) (`reconviagen-0.5`): from $0.25 / request
- [Hi3D Image to 3D](https://doitong.com/developers/models/hitem3d/hi3d/image-to-3d.md) (`hitem3d/hi3d/image-to-3d`): $0.50 / run
- [Hi3D Image to 3D · v3.0](https://doitong.com/developers/models/hitem3d/hi3d/v3.0/image-to-3d.md) (`hitem3d/hi3d/v3.0/image-to-3d`): from $1.80 / run
- [Hi3D Multiview to 3D · Multi View to 3D](https://doitong.com/developers/models/hitem3d/hi3d/multi-view-to-3d.md) (`hitem3d/hi3d/multi-view-to-3d`): $0.50 / run
- [Hi3D Multiview to 3D · v3.0 · Multi View to 3D](https://doitong.com/developers/models/hitem3d/hi3d/v3.0/multi-view-to-3d.md) (`hitem3d/hi3d/v3.0/multi-view-to-3d`): from $1.80 / run
- [Hunyuan 3D Pro Image to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/pro/image-to-3d.md) (`hunyuan-3d/v3.1/pro/image-to-3d`): $0.375 / run
- [Hunyuan 3D Rapid Image to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/rapid/image-to-3d.md) (`hunyuan-3d/v3.1/rapid/image-to-3d`): from $0.225 / request
- [Hunyuan World · Image to World](https://doitong.com/developers/models/hunyuan_world/image-to-world.md) (`hunyuan_world/image-to-world`): $0.30 / request

## Links

- HTML page: https://doitong.com/developers/models/pixal3d
- 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=pixal3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/pixal3d