Seedance 2.0 20% OFF | Video Generator で作成 →

NVIDIA Cosmos 3 Super Image to Video API

nvidia /

NVIDIA Cosmos 3 Super Image to Video is a fast AI image-to-video generation model that creates high-quality videos from a first-frame image and a motion prompt. Ready-to-use REST inference API for animating images, product videos, cinematic clips, social media content, advertising creatives, concept videos, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.

image-to-video
入力

ドラッグ&ドロップまたはクリックでアップロード

preview

待機中

$0.051回あたり·~20 / $1

次:

サンプルすべて表示

Use the input image as the first frame. Keep the same woman, record store, outfit, lighting, and composition. The woman looks down at the record sleeve, then slowly looks back at the camera. The warm lights flicker softly, and the camera slowly pushes in. Nostalgic cinematic mood, realistic motion, stable face, no distortion, no text.

関連モデル

README

NVIDIA Cosmos 3 Super Image-to-Video

NVIDIA Cosmos 3 Super Image-to-Video generates short videos from a reference image and a natural-language prompt. It supports motion prompting, negative prompting, size presets, duration selection, inference-step tuning, and guidance scaling for high-quality image-driven video generation.

Why Choose This?

  • Image-guided video generation Start from a single reference image and animate it into a video clip.

  • Prompt-based motion control Describe motion, camera movement, atmosphere, and scene behavior using natural language.

  • Negative prompt support Use negative_prompt to steer the model away from unwanted content or artifacts.

  • Flexible size presets Generate videos in common aspect ratios such as 16:9, 1:1, and 9:16.

  • Simple duration control Choose a fixed output duration from 1 to 7 seconds.

  • Production-ready API Suitable for concept visualization, animated keyframes, creator content, marketing clips, and short cinematic sequences.

Parameters

ParameterRequiredDescription
promptYesText prompt describing the motion and scene of the video to generate.
imageYesFirst-frame image for the generated video.
negative_promptNoContent to steer the generation away from.
sizeNoOutput video size preset. Supported values: 16:9, 4:3, 1:1, 3:4, 9:16. Default: 16:9.
durationNoOutput video duration in seconds. Supported values: 1, 2, 3, 4, 5, 6, 7. Default: 7.
num_inference_stepsNoNumber of denoising steps.
guidance_scaleNoClassifier-free guidance scale.

How to Use

  1. Upload the reference image — provide the image you want to animate.
  2. Write the prompt — describe the desired motion, camera action, and scene evolution.
  3. Add a negative prompt (optional) — specify things you want to avoid.
  4. Choose the output size — select the aspect ratio that matches your intended output.
  5. Set duration (optional) — choose a fixed output length between 1 and 7 seconds.
  6. Tune generation settings (optional) — adjust num_inference_steps and guidance_scale if needed.
  7. Submit — run the model and download the generated video.

Example Prompt

A cinematic slow push-in as the subject turns slightly toward the camera, soft wind movement in the hair, subtle background motion, realistic lighting, polished commercial look

Pricing

Pricing is based on the selected duration.

DurationCost
1 second$0.05
2 seconds$0.10
3 seconds$0.15
4 seconds$0.20
5 seconds$0.25
6 seconds$0.30
7 seconds$0.35

Billing Rules

  • Pricing is $0.05 per second
  • Billing follows the selected duration
  • Minimum billed duration is 1 second
  • Maximum billed duration is 7 seconds
  • size, negative_prompt, num_inference_steps, and guidance_scale do not directly affect pricing

Best Use Cases

  • Image-to-video animation — Turn a still image into a dynamic short clip.
  • Concept visualization — Explore motion ideas from a single frame.
  • Social media content — Create short animated content from static artwork or portraits.
  • Marketing creatives — Animate posters, product shots, or character stills.
  • Cinematic prototyping — Test prompt-driven motion, framing, and visual storytelling.

Pro Tips

  • Use a clear, high-quality reference image for better motion stability.
  • Keep prompts focused on motion, camera behavior, and scene change rather than restating static details already visible in the image.
  • Match the input image aspect ratio to the selected size whenever possible.
  • If the input image ratio does not match the selected size, the result may appear stretched or distorted.
  • Start with the default settings first, then tune guidance_scale or num_inference_steps only if needed.
  • Use negative_prompt to reduce unwanted artifacts or style drift.

Notes

  • prompt and image are required.
  • duration is selected directly from 1 to 7 seconds.
  • size defaults to 16:9.
  • Pricing depends only on the selected duration.
  • For best results, the input image ratio should match the selected size ratio to avoid distortion.

Related Models

アクセシビリティ:本サイトは第三者が提供するAIモデルを使用しています。

Cosmos 3 Super Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/nvidia/cosmos-3-super/image-to-video 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 Image To Video below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/nvidia/cosmos-3-super/image-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "16:9",
    "duration": "7",
    "num_inference_steps": 28,
    "guidance_scale": 6
}'

# 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/image-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "negative_prompt": "blurry, low quality, distorted",
        "size": "16:9",
        "duration": "7",
        "num_inference_steps": 28,
        "guidance_scale": 6
});

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

output = wavespeed.run(
    "nvidia/cosmos-3-super/image-to-video",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "16:9",
    "duration": "7",
    "num_inference_steps": 28,
    "guidance_scale": 6
}
)

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

Cosmos 3 Super Image To Video API — Frequently asked questions

What is the Cosmos 3 Super Image To Video API?

Cosmos 3 Super Image To Video is a NVIDIA model for video generation from images, exposed as a REST API on WaveSpeedAI. NVIDIA Cosmos 3 Super Image to Video is a fast AI image-to-video generation model that creates high-quality videos from a first-frame image and a motion prompt. Ready-to-use REST inference API for animating images, product videos, cinematic clips, social media content, advertising creatives, concept videos, and professional image-to-video 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 Image To Video 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-image-to-video.

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

Cosmos 3 Super Image To Video starts at $0.050 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 Image To Video accept?

Key inputs: `prompt`, `image`, `duration`, `size`, `guidance_scale`, `num_inference_steps`. 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-image-to-video.

How do I get started with the Cosmos 3 Super Image To Video 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 Image To Video 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.