API reference · sandbase-ai

sandbase-ai/firered-image-edit-v1.1

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

IMAGEAsyncOpen model

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDsandbase-ai/firered-image-edit-v1.1

Input Schema

7 parameters · 1 required · 6 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The editing instruction describing what changes to make to the image. Supports both English and Chinese instructions.
`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.
`images`	string[]	Optional	The URLs of the images to edit. Supports single image editing and multi-image references (e.g., virtual try-on, style transfer from reference, portrait makeup).
`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	Classifier-free guidance scale. Higher values make the model follow the prompt more closely. · Min: 1 · Max: 10 · Default: 4
`num_inference_steps`	integer	Optional	The number of inference steps to perform. More steps generally produce higher quality results. · Min: 2 · Max: 50 · Default: 30

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": "sandbase-ai/firered-image-edit-v1.1",
  "images": [
    "https://static.sandbase.ai/examples/openai/gpt-image-1/edit/input_images_0.png"
  ],
  "prompt": "Transform her look into a romantic Parisian evening style with a soft smoky eye in warm terracotta and bronze tones, enhanced lashes with a subtle winged effect, sun-kissed contouring that complements her olive skin, a natural rose-tinted blush on the apples of her cheeks, and lips in a sophisticated mauve-pink shade with a subtle glossy finish, while adding a touch of luminous highlighter on her cheekbones and cupid's bow to catch the warm cafe lighting.",
  "output_format": "png",
  "guidance_scale": 4,
  "num_inference_steps": 30
}'

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

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