API reference · NVIDIA

nvidia/cosmos-3-super/text-to-image

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

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Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDnvidia/cosmos-3-super/text-to-image

Input Schema

12 parameters · 1 required · 11 optional

Parameter	Type	Required	Description
`prompt`	string	Required	Text prompt describing the image to generate. · Min length: 1 · Max length: 4096
`seed`	integer	Optional	The same seed and prompt given to the same model version will produce the same image every time.
`num_images`	integer	Optional	Min: 1 · Default: 1
`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: "jpeg" jpegpng
`guidance_scale`	number	Optional	Classifier-free guidance scale. Higher values increase prompt adherence at the cost of diversity. · Min: 0 · Max: 20 · Default: 4
`agentic_early_stop`	boolean	Optional	Stop early when a candidate image is already a strong match for the prompt. · Default: true
`num_inference_steps`	integer	Optional	Number of denoising steps. More steps yield higher quality but take longer. · Min: 1 · Max: 50 · Default: 28
`agentic_max_iterations`	integer	Optional	Maximum number of refinement rounds when agentic generation is enabled. · Min: 1 · Max: 3 · Default: 2
`enable_prompt_expansion`	boolean	Optional	Default: false
`enable_agentic_generation`	boolean	Optional	Automatically generate and compare multiple candidate images, then refine the prompt between rounds to better match the original request. This can improve prompt adherence but increases latency and billable image generations. · Default: false
`agentic_samples_per_iteration`	integer	Optional	Candidate images to generate and judge per agentic iteration. The best candidate advances to the next rewrite stage. · Min: 1 · Max: 3 · Default: 2

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": "nvidia/cosmos-3-super/text-to-image",
  "prompt": "A photorealistic close-up of two damp hands shaping a spinning cylinder of wet gray clay on a pottery wheel, fingers pinching the walls upward into a narrow-necked vase, water glistening on the clay, soft studio lighting, shallow depth of field.",
  "num_images": 1,
  "output_format": "jpeg",
  "guidance_scale": 4,
  "agentic_early_stop": true,
  "num_inference_steps": 28,
  "agentic_max_iterations": 2,
  "enable_prompt_expansion": false,
  "enable_agentic_generation": false,
  "agentic_samples_per_iteration": 2
}'

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

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