API reference · Alibaba
alibaba/z-image/turbo/tiling/lora
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
alibaba/z-image/turbo/tiling/lora01
Input Schema
11 parameters · 2 required · 9 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of an image for image-to-image or inpainting. When provided without mask_image_url, performs image-to-image; with mask_image_url, performs inpainting. |
prompt | string | Required | The prompt to generate an image from. |
mask | string | Optional | URL of a mask image for inpainting. White regions are regenerated, black regions are preserved. Requires image_url. |
seed | integer | Optional | The same seed and the same prompt given to the same version of the model will output the same image every time. |
loras | object[] | Optional | List of LoRA weights to apply (maximum 3). · Default: [] |
strength | number | Optional | How much to transform the input image. Only used when image_url is provided. · Max: 1 · Default: 0.6 |
tile_size | integer | Optional | Tile size in latent space. Must be even (divisible by 2) for patchification. (64 = 512px, 128 = 1024px, 256 = 2048px). · Min: 32 · Max: 256 · Default: 128 |
tile_stride | integer | Optional | Tile stride in latent space. Must be even (divisible by 2). (32 = 256px, 64 = 512px, 128 = 1024px). · Min: 16 · Max: 128 · Default: 64 |
tiling_mode | string | Optional | Tiling direction: 'both' (omnidirectional), 'horizontal' (left-right only), 'vertical' (top-bottom only). · Options: both, horizontal, vertical · Default: "both" bothhorizontalvertical |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
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Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
03
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alibaba/z-image/turbo/tiling/lora",
"loras": [],
"prompt": "A hyper-realistic, high-resolution 4k texture of an ancient weathered brick wall heavily overgrown with lush green moss and soft lichens. The bricks are aged, featuring deep earthy tones, natural cracks, and gritty textures. Vibrant emerald moss fills the mortar lines and spills over the rough surfaces of the stones. Uniform, flat cinematic lighting ensures no harsh shadows, highlighting the intricate organic details and damp stone surfaces. The composition is a perfectly balanced overhead view, showcasing a rich tapestry of botanical growth and masonry craftsmanship with professional clarity and hyper-detailed grit.",
"strength": 0.6,
"tile_size": 128,
"tile_stride": 64,
"tiling_mode": "both",
"output_format": "png"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"
