Pixal3D API - AI 3D Model Generation API: Pricing, Documentation
by Pixal3D
Pixal3D API is a cutting-edge 3D generative reconstruction interface designed to instantly transform 2D visuals into highly accurate, asset-ready 3D models. By utilizing a sophisticated pixel-aligned back-projection scheme, the API seamlessly lifts standard image features directly into a 3D spatial volume. This unique framework bridges the gap between traditional geometric reconstruction and AI generation, tightly binding visible surfaces to the source input while intelligently completing hidden elements through advanced generative priors. Engineered for effortless integration, it allows developers to automate high-fidelity, object-separated 3D mesh creation from both single-view and multi-view perspectives.

Models Version
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Pixal3D API Documentation
https://gateway.pixazo.ai/pixal3d/v1/pixal3d-request
Authentication
All requests require an API key passed via header.
| Header | Type | Required | Description |
|---|---|---|---|
| Ocp-Apim-Subscription-Key | string | Yes | Your API subscription key |
Pixal3D generate request
Request Code
POST https://gateway.pixazo.ai/pixal3d/v1/pixal3d-request
Content-Type: application/json
Cache-Control: no-cache
Ocp-Apim-Subscription-Key: YOUR_API_KEY
{
"image_url": "https://example.com/example_inputs/dog.png",
"resolution": 1024,
"ss_guidance_strength": 7.5,
"ss_guidance_rescale": 0.7,
"ss_sampling_steps": 12,
"ss_rescale_t": 5,
"shape_slat_guidance_strength": 7.5,
"shape_slat_guidance_rescale": 0.5,
"shape_slat_sampling_steps": 12,
"shape_slat_rescale_t": 3,
"tex_slat_guidance_strength": 1,
"tex_slat_sampling_steps": 12,
"tex_slat_rescale_t": 3,
"mesh_scale": 1,
"max_num_tokens": 49152,
"decimation_target": 200000,
"texture_size": 2048,
"remesh": true
}
import requests
url = "https://gateway.pixazo.ai/pixal3d/v1/pixal3d-request"
headers = {
"Content-Type": "application/json",
"Cache-Control": "no-cache",
"Ocp-Apim-Subscription-Key": "YOUR_API_KEY"
}
data = {
"image_url": "https://example.com/example_inputs/dog.png",
"resolution": 1024,
"ss_guidance_strength": 7.5,
"ss_guidance_rescale": 0.7,
"ss_sampling_steps": 12,
"ss_rescale_t": 5,
"shape_slat_guidance_strength": 7.5,
"shape_slat_guidance_rescale": 0.5,
"shape_slat_sampling_steps": 12,
"shape_slat_rescale_t": 3,
"tex_slat_guidance_strength": 1,
"tex_slat_sampling_steps": 12,
"tex_slat_rescale_t": 3,
"mesh_scale": 1,
"max_num_tokens": 49152,
"decimation_target": 200000,
"texture_size": 2048,
"remesh": true
}
response = requests.post(url, json=data, headers=headers)
print(response.json())
const url = "https://gateway.pixazo.ai/pixal3d/v1/pixal3d-request";
const headers = {
"Content-Type": "application/json",
"Cache-Control": "no-cache",
"Ocp-Apim-Subscription-Key": "YOUR_API_KEY"
};
const data = {
"image_url": "https://example.com/example_inputs/dog.png",
"resolution": 1024,
"ss_guidance_strength": 7.5,
"ss_guidance_rescale": 0.7,
"ss_sampling_steps": 12,
"ss_rescale_t": 5,
"shape_slat_guidance_strength": 7.5,
"shape_slat_guidance_rescale": 0.5,
"shape_slat_sampling_steps": 12,
"shape_slat_rescale_t": 3,
"tex_slat_guidance_strength": 1,
"tex_slat_sampling_steps": 12,
"tex_slat_rescale_t": 3,
"mesh_scale": 1,
"max_num_tokens": 49152,
"decimation_target": 200000,
"texture_size": 2048,
"remesh": true
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST "https://gateway.pixazo.ai/pixal3d/v1/pixal3d-request" \
-H "Content-Type: application/json" \
-H "Cache-Control: no-cache" \
-H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
--data-raw '{
"image_url": "https://example.com/example_inputs/dog.png",
"resolution": 1024,
"ss_guidance_strength": 7.5,
"ss_guidance_rescale": 0.7,
"ss_sampling_steps": 12,
"ss_rescale_t": 5,
"shape_slat_guidance_strength": 7.5,
"shape_slat_guidance_rescale": 0.5,
"shape_slat_sampling_steps": 12,
"shape_slat_rescale_t": 3,
"tex_slat_guidance_strength": 1,
"tex_slat_sampling_steps": 12,
"tex_slat_rescale_t": 3,
"mesh_scale": 1,
"max_num_tokens": 49152,
"decimation_target": 200000,
"texture_size": 2048,
"remesh": true
}'
Output
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "QUEUED",
"polling_url": "https://gateway.pixazo.ai/v2/requests/status/pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}
Webhook (Optional)
Add the X-Webhook-URL header to your submit request to receive a POST callback when the job completes — no polling required.
Using curl? These are HTTP request headers — pass each with -H, e.g. -H "X-Webhook-URL: https://your-server.com/webhook/callback". Do not paste them as bare lines, and end every line of a multi-line command with \.
Webhook Headers
| Header | Required | Default | Description |
|---|---|---|---|
X-Webhook-URL | Yes (to enable) | — | HTTPS endpoint on your server that will receive the POST callback. Must respond 2xx within a few seconds (process async if needed). |
X-Webhook-Mode | No | terminal | terminal — fires once at the final status (COMPLETED/FAILED/ERROR). sync — fires on every poll cycle plus the terminal event, and caps the queue’s polling delay at 15s for tighter progress updates. |
Example: enable webhook
X-Webhook-URL: https://your-server.com/webhook/callback
X-Webhook-Mode: terminal
Callback Payload
Your endpoint receives a POST application/json with the same shape as the GET /v2/requests/status/{request_id} response. Example terminal callback (mode terminal):
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "COMPLETED",
"model_id": "pixal3d",
"error": null,
"output": {
"media_url": [
"https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/output.glb"
],
"media_type": "model/glb"
},
"created_at": "2026-05-22T13:17:32.110Z",
"updated_at": "2026-05-22 13:19:23",
"completed_at": "2026-05-22 13:19:23"
}
Failure callback shape
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "ERROR",
"model_id": "pixal3d",
"error": "Description of the error",
"output": null,
"created_at": "...",
"updated_at": "...",
"completed_at": "..."
}
Delivery semantics
- terminal mode (default) — exactly one
POSTwhen the request reaches a terminal status. No callback duringPROCESSING. - sync mode —
POSTon every status poll (with delay capped at ~15s) plus a finalPOSTat terminal status. Use when you want progress updates. - Idempotency — use
request_idas your idempotency key. Network retries can deliver the same callback more than once; your handler must tolerate duplicates. - Response — respond
200 OKwithin a few seconds. The queue does not block on slow handlers, but persistent failures may stop further deliveries. - HTTPS required — plain
http://URLs are rejected.
Request Parameters - Pixal3D generate request
| Parameter | Required | Type | Default | Allowed values / range | Description |
|---|---|---|---|---|---|
| image_url | Yes | string | — | — | URL of the input image to convert to 3D. Must be a publicly accessible URL. Supported formats: JPG, PNG, WEBP. |
| seed | No | integer | — | — | Random seed for reproducibility. Reuse the same seed with identical settings to reproduce the same result; leave it empty for a different output each time. |
| resolution | No | enum | 1024 | `1024`, `1536` | Output resolution used for the initial structure generation. Higher values are slower but produce more detail. |
| ss_guidance_strength | No | float | 7.5 | 0-10 | How closely the initial 3D structure follows the input image. Higher values produce more faithful but potentially noisier results. |
| ss_guidance_rescale | No | float | 0.7 | 0-1 | Dampens artifacts from high guidance in stage 1 (initial structure generation). Lower values allow stronger guidance effects; higher values stabilize the output. |
| ss_sampling_steps | No | integer | 12 | 1-50 | Number of denoising steps for the initial structure. More steps are slower but can improve quality. |
| ss_rescale_t | No | float | 5 | 1-6 | Controls noise-schedule sharpness for structure generation. Higher values produce sharper transitions. Most users can leave this at the default. |
| shape_slat_guidance_strength | No | float | 7.5 | 0-10 | How closely the detailed geometry follows the input image. Higher values add more detail but may introduce noise. |
| shape_slat_guidance_rescale | No | float | 0.5 | 0-1 | Dampens artifacts from high guidance in the shape refinement stage. Increase if you see noisy geometry. |
| shape_slat_sampling_steps | No | integer | 12 | 1-50 | Number of denoising steps for shape refinement. More steps are slower but can produce smoother geometry. |
| shape_slat_rescale_t | No | float | 3 | 1-6 | Controls noise-schedule sharpness for shape refinement. Higher values produce sharper geometric detail. Most users can leave this at the default. |
| tex_slat_guidance_strength | No | float | 1 | 0-10 | How closely the texture follows the input image colors. Higher values produce more vivid but potentially oversaturated textures. |
| tex_slat_guidance_rescale | No | float | 0 | 0-1 | Dampens artifacts from high guidance in the texture generation stage. Increase if textures look noisy or show color banding. |
| tex_slat_sampling_steps | No | integer | 12 | 1-50 | Number of denoising steps for texture generation. More steps are slower but can produce cleaner textures. |
| tex_slat_rescale_t | No | float | 3 | 1-6 | Controls noise-schedule sharpness for texture generation. Higher values produce sharper texture detail. Most users can leave this at the default. |
| mesh_scale | No | float | 1 | 0.1-4 | Scale factor applied to the inferred mesh. Also affects the camera-distance estimation used by the model. |
| max_num_tokens | No | integer | 49152 | 4096-131072 | Maximum number of high-resolution tokens used by the cascaded shape sampler. Higher values allow finer geometry; lower values reduce memory use and processing time. |
| decimation_target | No | integer | 200000 | 5000-1586021 | Target number of vertices in the final mesh. Lower values produce smaller, simpler files but less detail. |
| texture_size | No | enum | 2048 | `1024`, `2048`, `4096` | Resolution of the texture image baked onto the mesh. Higher values capture finer surface detail but produce larger files. |
| remesh | No | boolean | true | `true`, `false` | Rebuilds the mesh topology for cleaner, more uniform triangles. Slower, but usually produces better results for downstream use. |
Content Item Types & Limits
| Type | Max | Format / Size | Description |
|---|---|---|---|
| image | 1 | JPG, PNG, WEBP | Input image. |
Example Request
{
"image_url": "https://example.com/example_inputs/dog.png",
"resolution": 1024,
"ss_guidance_strength": 7.5,
"ss_guidance_rescale": 0.7,
"ss_sampling_steps": 12,
"ss_rescale_t": 5,
"shape_slat_guidance_strength": 7.5,
"shape_slat_guidance_rescale": 0.5,
"shape_slat_sampling_steps": 12,
"shape_slat_rescale_t": 3,
"tex_slat_guidance_strength": 1,
"tex_slat_sampling_steps": 12,
"tex_slat_rescale_t": 3,
"mesh_scale": 1,
"max_num_tokens": 49152,
"decimation_target": 200000,
"texture_size": 2048,
"remesh": true
}
Response
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "QUEUED",
"polling_url": "https://gateway.pixazo.ai/v2/requests/status/pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}
Request Headers
| Header | Value |
|---|---|
| Content-Type | application/json |
| Cache-Control | no-cache |
| Ocp-Apim-Subscription-Key | YOUR_API_KEY |
Response Handling
Common status codes.
| Code | Meaning |
|---|---|
| 202 | Accepted — Request queued |
| 400 | Bad Request |
| 401 | Unauthorized |
| 402 | Insufficient Balance |
| 403 | Forbidden |
| 429 | Too Many Requests |
| 500 | Internal Server Error |
Error Responses
Queue system errors and model validation errors.
Queue System Errors
// 402 — Insufficient balance
{
"error": "Insufficient Balance",
"message": "Your wallet does not have enough balance."
}
// 400 — Model not found
{
"error": "Model not found",
"message": "Model 'pixal3d' not found or is disabled"
}
Error via Status/Webhook
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "ERROR",
"model_id": "pixal3d",
"error": "Description of the error",
"output": null
}
Retrieving Results
Poll the universal status endpoint to check progress and retrieve results.
Endpoint
GET https://gateway.pixazo.ai/v2/requests/status/{request_id}
Ocp-Apim-Subscription-Key: YOUR_API_KEY
cURL Example
curl -H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
"https://gateway.pixazo.ai/v2/requests/status/pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
Response (Completed)
{
"request_id": "pixal3d_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"status": "COMPLETED",
"model_id": "pixal3d",
"error": null,
"output": {
"media_url": ["https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/pixal3d_019dxxxx/output.glb"],
"media_type": "model/glb"
},
"created_at": "2026-03-31T10:00:00.000Z",
"updated_at": "2026-03-31T10:00:15.000Z",
"completed_at": "2026-03-31T10:00:15.000Z"
}
Response Fields
| Field | Type | Description |
|---|---|---|
| request_id | string | Unique request identifier |
| status | string | QUEUED, PROCESSING, COMPLETED, FAILED, or ERROR |
| model_id | string | Model that processed the request |
| error | string|null | Error message if failed |
| output.media_url | array | URLs to generated media (R2 CDN) |
| output.media_type | string | MIME type of the output |
| created_at | string | When request was created |
| completed_at | string | When request completed |
| polling_url | string | Status URL (initial response only) |
Status Values
| Status | Description |
|---|---|
| QUEUED | Request accepted, waiting to be processed |
| PROCESSING | Being processed by the model |
| COMPLETED | Done — output contains the result |
| FAILED | Failed — check error field |
| ERROR | System error — not charged |
Status Flow
QUEUED → PROCESSING → COMPLETED
→ FAILED
→ ERROR
Typical Workflow
- Send a generate request to the API endpoint
- Save the
request_idfrom the response - Poll every 5-10 seconds:
GET /v2/requests/status/{request_id} - When
statusis"COMPLETED", download fromoutput.media_url
Tip: Use X-Webhook-URL header to get a callback instead of polling.
Pixal3D API Pricing
| Resolution | Price (USD) |
|---|---|
| 1024p | $0.30 |
| 2048p | $0.42 |
| 4096p | $0.42 |