API reference · Alibaba

alibaba/z-image/turbo/inpaint/lora

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDalibaba/z-image/turbo/inpaint/lora

Input Schema

11 parameters · 2 required · 9 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of Image for Inpaint generation.
`prompt`	string	Required	The prompt to generate an image from.
`mask`	string	Optional	URL of Mask for Inpaint generation.
`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	The strength of the inpaint conditioning. · Max: 1 · Default: 1
`control_end`	number	Optional	The end of the controlnet conditioning. · Min: 0 · Max: 1 · Default: 0.8
`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
`control_scale`	number	Optional	The scale of the controlnet conditioning. · Min: 0 · Max: 1 · Default: 0.75
`control_start`	number	Optional	The start of the controlnet conditioning. · Min: 0 · Max: 1 · Default: 0
`output_format`	string	Optional	The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng

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, or timeout
Retrieve — Read outputs from the completed response

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/inpaint/lora",
  "mask": "https://static.sandbase.ai/examples/alibaba/z-image/turbo/inpaint/lora/input_mask_1.jpg",
  "image": "https://static.sandbase.ai/examples/alibaba/z-image/turbo/inpaint/lora/input_image_0.jpg",
  "loras": [],
  "prompt": "A young Asian woman with long, vibrant purple hair stands on a sunlit sandy beach, posing confidently with her left hand resting on her hip. She gazes directly at the camera with a neutral expression. A sleek black ribbon bow is tied neatly on the right side of her head, just above her ear. She wears a flowing white cotton dress with a fitted bodice and a flared skirt that reaches mid-calf, slightly lifted by a gentle sea breeze. The beach behind her features fine, pale golden sand with subtle footprints, leading to calm turquoise waves under a clear blue sky with soft, wispy clouds. The lighting is natural daylight, casting soft shadows to her left, indicating late afternoon sun. The horizon line is visible in the background, with a faint silhouette of distant dunes. Her skin tone is fair with a natural glow, and her facial features are delicately defined. The composition is centered on her figure, framed from mid-thigh up, with shallow depth of field blurring the distant waves slightly.",
  "strength": 1,
  "control_end": 0.8,
  "control_scale": 0.75,
  "control_start": 0,
  "output_format": "png"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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