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NVIDIA Cosmos 3 Super Text to Image API

nvidia /

NVIDIA Cosmos 3 Super Text to Image is a fast AI image generation model that creates high-quality images from text prompts with configurable image size, inference steps, guidance, and output count. Ready-to-use REST inference API for creative design, marketing visuals, product mockups, concept art, brand assets, social media content, and professional text-to-image workflows with simple integration, no coldstarts, and affordable pricing.

text-to-image
输入

就绪

A photorealistic high-fashion portrait of an adult female model standing in a minimalist art gallery, sculptural black dress, polished concrete floor, large abstract paintings, soft museum lighting, confident elegant pose, luxury editorial photography, clean composition, ultra-detailed

$0.04每次运行·~25 / $1

下一步:

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A photorealistic high-fashion portrait of an adult female model standing in a minimalist art gallery, sculptural black dress, polished concrete floor, large abstract paintings, soft museum lighting, confident elegant pose, luxury editorial photography, clean composition, ultra-detailed

A photorealistic high-fashion portrait of an adult female model standing in a minimalist art gallery, sculptural black dress, polished concrete floor, large abstract paintings, soft museum lighting, confident elegant pose, luxury editorial photography, clean composition, ultra-detailed

相关模型

README

NVIDIA Cosmos 3 Super Text-to-Image

NVIDIA Cosmos 3 Super Text-to-Image generates high-quality images from natural-language prompts with support for negative prompting, size presets, inference step control, guidance scaling, and flexible output formats. It is suitable for portrait generation, editorial visuals, concept art, marketing creatives, and other prompt-driven image generation workflows.

Why Choose This?

  • High-quality text-to-image generation Create polished, detailed images from natural-language prompts.

  • Negative prompt support Use negative_prompt to suppress unwanted artifacts, styles, or scene elements.

  • Flexible generation controls Adjust num_inference_steps and guidance_scale to balance quality, fidelity, and generation behavior.

  • Preset sizing Use size presets for predictable output framing and composition.

  • Multiple output formats Export the result in supported formats such as jpeg.

  • Production-ready API Suitable for editorial visuals, concept exploration, commercial content, and creative ideation workflows.

Parameters

ParameterRequiredDescription
promptYesText prompt describing the image you want to generate.
negative_promptNoText description of elements or qualities you want to avoid in the result.
sizeNoOutput size preset, such as 1:1.
num_inference_stepsNoNumber of inference steps used during generation.
guidance_scaleNoControls how strongly the model follows the prompt.
output_formatNoOutput image format, such as jpeg.

How to Use

  1. Write your prompt — describe the subject, style, lighting, mood, and composition you want.
  2. Add a negative prompt (optional) — specify anything you want the model to avoid.
  3. Choose size (optional) — select the output aspect or size preset.
  4. Adjust generation settings (optional) — tune num_inference_steps and guidance_scale as needed.
  5. Choose output format (optional) — select the format that best fits your workflow.
  6. Submit — run the model and download the generated image.

Example Prompt

A photorealistic high-fashion portrait of an adult female model standing in a minimalist art gallery, sculptural black dress, polished concrete floor, large abstract paintings, soft museum lighting, confident elegant pose, luxury editorial photography, clean composition, ultra-detailed

Pricing

Just $0.04 per image.

Billing Rules

  • Each generated image costs $0.04
  • Pricing is fixed per image
  • size, num_inference_steps, guidance_scale, and output_format do not affect pricing

Best Use Cases

  • Portrait generation — Create polished editorial or studio-style portraits.
  • Fashion and luxury visuals — Generate refined commercial and magazine-style imagery.
  • Concept art — Explore visual ideas and art directions quickly.
  • Marketing creatives — Produce ad visuals, campaign concepts, and branded content.
  • Prompt-based ideation — Iterate on scenes, outfits, settings, and visual moods from text.

Pro Tips

  • Be specific in your prompt about subject, environment, lighting, and style.
  • Use negative_prompt when you want to suppress clutter, artifacts, or undesired aesthetics.
  • Increase num_inference_steps when you want more refined results, if generation time is acceptable.
  • Adjust guidance_scale when you want tighter prompt adherence.
  • Start with the default settings first, then tune generation controls only if needed.

Notes

  • prompt is required.
  • negative_prompt is optional but useful for tighter control.
  • Pricing is fixed at $0.04 per image.
  • Better prompts usually improve both consistency and visual quality.

Related Models

  • Other NVIDIA image generation workflows — Useful when you need different quality, speed, or control trade-offs.
  • Prompt-based visual generation models — Useful when you want alternate image generation styles or rendering characteristics.
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Cosmos 3 Super Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/nvidia/cosmos-3-super/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Cosmos 3 Super Text To Image below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/nvidia/cosmos-3-super/text-to-image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "1:1",
    "num_inference_steps": 28,
    "guidance_scale": 4,
    "output_format": "jpeg"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("nvidia/cosmos-3-super/text-to-image", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "negative_prompt": "blurry, low quality, distorted",
        "size": "1:1",
        "num_inference_steps": 28,
        "guidance_scale": 4,
        "output_format": "jpeg"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "nvidia/cosmos-3-super/text-to-image",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "1:1",
    "num_inference_steps": 28,
    "guidance_scale": 4,
    "output_format": "jpeg"
}
)

print(output["outputs"][0])  # → URL of the generated output

Cosmos 3 Super Text To Image API — Frequently asked questions

What is the Cosmos 3 Super Text To Image API?

Cosmos 3 Super Text To Image is a NVIDIA model for image generation, exposed as a REST API on WaveSpeedAI. NVIDIA Cosmos 3 Super Text to Image is a fast AI image generation model that creates high-quality images from text prompts with configurable image size, inference steps, guidance, and output count. Ready-to-use REST inference API for creative design, marketing visuals, product mockups, concept art, brand assets, social media content, and professional text-to-image workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Cosmos 3 Super Text To Image API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/nvidia/nvidia-cosmos-3-super-text-to-image.

How much does Cosmos 3 Super Text To Image cost per run?

Cosmos 3 Super Text To Image starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Cosmos 3 Super Text To Image accept?

Key inputs: `prompt`, `size`, `guidance_scale`, `num_inference_steps`, `negative_prompt`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/nvidia/nvidia-cosmos-3-super-text-to-image.

How do I get started with the Cosmos 3 Super Text To Image API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Cosmos 3 Super Text To Image outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (NVIDIA). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.