API reference · KwaiVGI

kwaivgi/kolors/image-to-image

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 IDkwaivgi/kolors/image-to-image

Input Schema

9 parameters · 2 required · 7 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of image to use for image to image
`prompt`	string	Required	The prompt to generate an image from.
`seed`	integer	Optional	Seed
`strength`	number	Optional	The strength to use for image-to-image. 1.0 is completely remakes the image while 0.0 preserves the original. · Min: 0.01 · Max: 1 · Default: 0.85
`scheduler`	string	Optional	The scheduler to use for the model. · Options: EulerDiscreteScheduler, EulerAncestralDiscreteScheduler, DPMSolverMultistepScheduler, DPMSolverMultistepScheduler_SDE_karras, UniPCMultistepScheduler, DEISMultistepScheduler · Default: "EulerDiscreteScheduler" EulerDiscreteSchedulerEulerAncestralDiscreteSchedulerDPMSolverMultistepSchedulerDPMSolverMultistepScheduler_SDE_karrasUniPCMultistepSchedulerDEISMultistepScheduler
`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
`guidance_scale`	number	Optional	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 1 · Max: 10 · Default: 5
`num_inference_steps`	integer	Optional	The number of inference steps to perform. · Min: 1 · Max: 150 · Default: 50

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

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "kwaivgi/kolors/image-to-image",
    "image": "https://static.sandbase.ai/examples/kwaivgi/kolors/image-to-image/input_image_0.png",
    "prompt": "high quality image of a capybara wearing sunglasses. In the background of the image there are trees, poles, grass and other objects. At the bottom of the object there is the road., 8k, highly detailed.",
    "strength": 0.85,
    "scheduler": "EulerDiscreteScheduler",
    "output_format": "png",
    "guidance_scale": 5,
    "num_inference_steps": 50
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

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