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

image-to-video

Nvidia Cosmos 3 Super Image-to-Video API

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

Image-to-video

Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs.

Compare models

Nvidia Cosmos 3 Super Image-to-Video is developed by NVIDIA. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.

INPUT

Prompt *

Negative Prompt

Image url *

You can drag and drop a file or click to upload

MAX:1

Duration

Num inference steps

Guidance scale

Seed

OUTPUT

Idle

Your generated videos will appear here

Configure your settings and click Run to get started

Your request will cost $0.055 per run. For $10 you can run this model approximately 181 times.

Here's what you can do next:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameters

Code Example
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "nvidia/cosmos-3-super/image-to-video",  # Required. model name
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Required. Text description of the motion and scene to generate
    "image_url": "example_value",  # Required. The reference image to animate
    "negative_prompt": "",  # Text describing content to exclude from the generated video
    "image_size": "landscape_16_9",  # Output image resolution
    "duration": 5,  # The duration of the generated media in seconds (1-7)
    "num_inference_steps": 28,  # Number of denoising steps. (min: 1, max: 50)
    "guidance_scale": 6,  # Classifier-free guidance scale. (min: 1, max: 20)
    "seed": 0,  # Random seed for reproducibility. (min: 0)
    "enable_safety_checker": False,  # Enable or disable the safety checker
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Install

Install the required package for your language.

pip install requests

Authentication

All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Keep your API key secure

Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.

Submit a request

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Submit a Request

Submit an asynchronous generation request. The API returns a prediction ID that you can use to check the status and retrieve the result.

POST/api/v1/model/generateVideo

Request Body

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "nvidia/cosmos-3-super/image-to-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Response

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Check Status

Poll the prediction endpoint to check the current status of your request.

GET/api/v1/model/prediction/{prediction_id}

Polling Example

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Status Values

processingThe request is still being processed.

completedGeneration is complete. Outputs are available.

succeededGeneration succeeded. Outputs are available.

failedGeneration failed. Check the error field.

Completed Response

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Upload Files

Upload files to Atlas Cloud storage and get a URL you can use in your API requests. Use multipart/form-data to upload.

POST/api/v1/model/uploadMedia

Upload Example

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Response

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

The following parameters are accepted in the request body.

Total: 10Required: 3Optional: 7

modelstringrequired

model name

Default: "nvidia/cosmos-3-super/image-to-video"

promptstringrequired

Text description of the motion and scene to generate. Maximum 2,500 characters.

image_urlstringrequired

The reference image to animate. Accepts a public URL or Base64-encoded image. Supported formats: png, jpeg, jpg, webp.

negative_promptstring

Text describing content to exclude from the generated video.

Default: ""

image_sizeunknown

Output image resolution. Use a preset size or specify custom width and height via an ImageSize object.

Default: "landscape_16_9"

durationinteger

The duration of the generated media in seconds (1-7).

Default: 5

1234567

num_inference_stepsinteger

Number of denoising steps. Higher values improve quality but increase generation time.

Default: 28Min: 1Max: 50

guidance_scalenumber

Classifier-free guidance scale. Higher values make the output follow the prompt more closely.

Default: 6Min: 1Max: 20

seedinteger

Random seed for reproducibility. Use the same seed and prompt to reproduce results.

Min: 0

enable_safety_checkerboolean

Enable or disable the safety checker. Disabling the safety checker may result in NSFW content.

Default: false

Example Request Body

{
  "model": "nvidia/cosmos-3-super/image-to-video",
  "prompt": "A beautiful landscape",
  "image_url": "example_image_url",
  "negative_prompt": "",
  "image_size": "landscape_16_9",
  "duration": 5,
  "num_inference_steps": 28,
  "guidance_scale": 6,
  "enable_safety_checker": false
}

Output Schema

The API returns a prediction response with the generated output URLs.

modelstring

model name

Default: "nvidia/cosmos-3-super/image-to-video"

created_atstring

ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

idstring

Unique identifier for the prediction.

outputsarray

Array of URLs to the generated videos. Null when status is not completed.

statusstring

Status of the task: created, processing, completed, or failed.

Example Response

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integrates 400+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.

Supported Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ supported clients

Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Setup API Key

Get your API key from the Atlas Cloud dashboard and set it as an environment variable.

export ATLASCLOUD_API_KEY="your-api-key-here"

Capabilities

Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.

Image GenerationGenerate images with models like Nano Banana 2, Z-Image, and more.

Video CreationCreate videos from text or images with Kling, Vidu, Veo, etc.

LLM ChatChat with Qwen, DeepSeek, and other large language models.

Media UploadUpload local files for image editing and image-to-video workflows.

Learn more

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server connects your IDE with 400+ AI models via the Model Context Protocol. Works with any MCP-compatible client.

Supported Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ supported clients

Install

npx -y atlascloud-mcp

Configuration

Add the following configuration to your IDE's MCP settings file.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Available Tools

atlas_generate_imageGenerate images from text prompts.

atlas_generate_videoCreate videos from text or images.

atlas_chatChat with large language models.

atlas_list_modelsBrowse 400+ available AI models.

atlas_quick_generateOne-step content creation with auto model selection.

atlas_upload_mediaUpload local files for API workflows.

Learn more

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/v1/model/generateVideo": {
      "post": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "schema": {
              "type": "string",
              "description": "Request ID"
            },
            "required": true
          }
        ]
      },
      "x-api-name": "model_result"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "nvidia/cosmos-3-super/image-to-video"
          },
          "prompt": {
            "description": "Text description of the motion and scene to generate. Maximum 2,500 characters.",
            "type": "string",
            "minLength": 1,
            "maxLength": 2500
          },
          "image_url": {
            "description": "The reference image to animate. Accepts a public URL or Base64-encoded image. Supported formats: png, jpeg, jpg, webp.",
            "type": "string",
            "x-ui-component": "uploaders"
          },
          "negative_prompt": {
            "description": "Text describing content to exclude from the generated video.",
            "type": "string",
            "default": ""
          },
          "image_size": {
            "anyOf": [
              {
                "$ref": "#/components/schemas/ImageSize"
              },
              {
                "type": "string",
                "enum": [
                  "square_hd",
                  "square",
                  "portrait_4_3",
                  "portrait_16_9",
                  "landscape_4_3",
                  "landscape_16_9"
                ]
              }
            ],
            "description": "Output image resolution. Use a preset size or specify custom width and height via an ImageSize object.",
            "title": "Resolution",
            "default": "landscape_16_9",
            "x-ui-component": "select",
            "x-enum-labels": {
              "square_hd": "Square HD (1024×1024)",
              "square": "Square (512×512)",
              "portrait_4_3": "Portrait 4:3",
              "portrait_16_9": "Portrait 16:9",
              "landscape_4_3": "Landscape 4:3",
              "landscape_16_9": "Landscape 16:9"
            }
          },
          "duration": {
            "default": 5,
            "description": "The duration of the generated media in seconds (1-7).",
            "enum": [
              1,
              2,
              3,
              4,
              5,
              6,
              7
            ],
            "type": "integer",
            "x-ui-component": "select"
          },
          "num_inference_steps": {
            "description": "Number of denoising steps. Higher values improve quality but increase generation time.",
            "type": "integer",
            "default": 28,
            "minimum": 1,
            "maximum": 50
          },
          "guidance_scale": {
            "description": "Classifier-free guidance scale. Higher values make the output follow the prompt more closely.",
            "type": "number",
            "default": 6,
            "minimum": 1,
            "maximum": 20
          },
          "seed": {
            "description": "Random seed for reproducibility. Use the same seed and prompt to reproduce results.",
            "type": "integer",
            "minimum": 0
          },
          "enable_safety_checker": {
            "description": "Enable or disable the safety checker. Disabling the safety checker may result in NSFW content.",
            "type": "boolean",
            "default": false
          }
        },
        "required": [
          "model",
          "prompt",
          "image_url"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "prompt",
          "image_url",
          "negative_prompt",
          "image_size",
          "duration",
          "num_inference_steps",
          "guidance_scale",
          "seed"
        ]
      },
      "ImageSize": {
        "properties": {
          "width": {
            "type": "integer",
            "title": "Width",
            "description": "The width of the generated image.",
            "exclusiveMinimum": 0,
            "maximum": 14142,
            "default": 512
          },
          "height": {
            "type": "integer",
            "title": "Height",
            "description": "The height of the generated image.",
            "exclusiveMinimum": 0,
            "maximum": 14142,
            "default": 512
          }
        },
        "title": "ImageSize",
        "type": "object",
        "x-order-properties": [
          "width",
          "height"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "nvidia/cosmos-3-super/image-to-video"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., \"2023-04-01T12:34:56.789Z\").",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated videos. Null when status is not completed.",
            "items": {
              "type": "string"
            },
            "nullable": true,
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLM-Friendly Prompt Template

# nvidia/cosmos-3-super/image-to-video

> Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `nvidia/cosmos-3-super/image-to-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"nvidia/cosmos-3-super/image-to-video"`

- **`prompt`** (`string`, _required_):
  Text description of the motion and scene to generate. Maximum 2,500 characters.

- **`image_url`** (`string`, _required_):
  The reference image to animate. Accepts a public URL or Base64-encoded image. Supported formats: png, jpeg, jpg, webp.

- **`negative_prompt`** (`string`, _optional_):
  Text describing content to exclude from the generated video.
  - Default: `""`

- **`image_size`** (`string`, _optional_):
  Output image resolution. Use a preset size or specify custom width and height via an ImageSize object.
  - Default: `"landscape_16_9"`

- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds (1-7).
  - Default: `5`
  - Options: 1, 2, 3, 4, 5, 6, 7

- **`num_inference_steps`** (`integer`, _optional_):
  Number of denoising steps. Higher values improve quality but increase generation time.
  - Default: `28`
  - Min: 1
  - Max: 50

- **`guidance_scale`** (`number`, _optional_):
  Classifier-free guidance scale. Higher values make the output follow the prompt more closely.
  - Default: `6`
  - Min: 1
  - Max: 20

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. Use the same seed and prompt to reproduce results.
  - Min: 0



**Required Parameters Example**:

```json
{
  "model": "nvidia/cosmos-3-super/image-to-video",
  "prompt": "",
  "image_url": ""
}
```


**Full Example**:

```json
{
  "model": "nvidia/cosmos-3-super/image-to-video",
  "prompt": "",
  "image_url": "",
  "negative_prompt": "",
  "image_size": "landscape_16_9",
  "duration": 5,
  "num_inference_steps": 28,
  "guidance_scale": 6,
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"nvidia/cosmos-3-super/image-to-video"`

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated videos. Null when status is not completed.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "model": "nvidia/cosmos-3-super/image-to-video",
  "created_at": "",
  "id": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "nvidia/cosmos-3-super/image-to-video",
  "prompt": "",
  "image_url": "",
  "negative_prompt": "",
  "image_size": "landscape_16_9",
  "duration": 5,
  "num_inference_steps": 28,
  "guidance_scale": 6,
  "seed": 0
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/nvidia/cosmos-3-super/image-to-video)

A cute 3D cartoon girl wearing fluffy earmuffs and oversized headphones smiles brightly at the camera. She gently raises her index finger as if sharing an exciting idea, blinking naturally with expressive eyes. Her hair softly sways as a gentle breeze passes by. The camera begins with a medium shot, then slowly pushes into a close-up, capturing her warm smile and sparkling eyes. Soft studio lighting creates delicate shadows while floating dust particles shimmer in the air. The background remains clean and minimalistic with warm brown tones. Pixar-quality animation, cinematic lighting, subtle facial expressions, smooth motion, shallow depth of field, ultra detailed, masterpiece.

NVIDIA Cosmos 3 Super Image-to-Video

NVIDIA Cosmos 3 Super Image-to-Video is NVIDIA's flagship image animation model built on the Cosmos 3 architecture. It transforms a single still image into a smooth, physically grounded video clip guided by a text prompt — delivering cinematic motion, accurate temporal coherence, and fine-grained control over frame count and pacing.

🌟 Key Features

🎬 Image-Driven Animation

Animates any still image into a fluid video sequence, preserving the original composition, subject identity, and visual style of the reference image.

📝 Prompt-Guided Motion

Accepts a text prompt to direct the type, direction, and style of motion — from subtle ambient movement to dynamic camera trajectories and subject actions.

🚫 Negative Prompting

Accepts a negative_prompt to explicitly suppress unwanted motion artifacts, distortions, or visual elements in the output video.

⏱ Flexible Duration Control

Set the output duration in whole seconds (1–7). Each second renders at 24 fps — pay only for the duration you generate.

🔁 Reproducible Results

Pin a seed value to reproduce or iterate on a specific generation, enabling systematic prompt and parameter refinement.

⚙️ Parameters

Parameter	Required	Description
`prompt`	✅	Text description of the motion and scene. Maximum 2,500 characters.
`image_url`	✅	Reference image to animate. Accepts a public URL or Base64-encoded image. Supported formats: `png`, `jpeg`, `jpg`, `webp`.
`negative_prompt`	❌	Content to exclude from the output (default: empty).
`duration`	❌	Output video duration in seconds (1–7, default: 5). Each second renders at 24 fps.
`num_inference_steps`	❌	Denoising steps (1–100, default: 28). Higher values improve quality but increase time.
`guidance_scale`	❌	Prompt adherence strength (1.0–20.0, default: 6.0). Higher values follow the prompt more strictly.
`seed`	❌	Random seed for reproducibility. Omit for random results.

💲 Pricing

Billing Standard	Price
Per second of video	$0.055

Billing is based on the duration parameter in seconds (e.g. 5s → $0.275, 7s →$ 0.385).

💡 Prompt Tips

The elephant slowly raises its trunk, gentle breeze moves the surrounding grass, cinematic slow push-in, golden hour lighting.

Describe the motion explicitly: subject action, camera movement, and environmental dynamics.
Use negative_prompt to suppress common issues: flickering, blur, distortion, sudden cuts, static.
Keep guidance_scale between 5–7 for natural motion; increase to 8–10 for strict prompt adherence.
Use shorter duration (1–2s) for quick previews before committing to a full-length generation.
Fix seed when iterating on the prompt to isolate the effect of each wording change.

🎯 Use Cases

Product Animation — Bring static product photos to life with subtle motion and environmental effects.
Cinematic Previsualization — Quickly animate storyboard frames or concept art to preview camera moves and scene timing.
Social Media Content — Generate eye-catching looping video clips from still images for any platform.
Creative Storytelling — Animate illustrations, paintings, or photographs into dynamic narrative sequences.
Virtual Production — Produce physically grounded environment and character animations for pre-production workflows.
Marketing & Advertising — Transform campaign visuals into dynamic video assets without full video production.

📝 Notes

Both prompt and image_url are required fields.
image_url must be a publicly accessible URL or a Base64-encoded image string.
Each second of video renders at 24 fps. Max duration is 7 seconds (168 frames).
Task status values: created, processing, completed, failed.
Generated video URLs are returned in outputs once status is completed.

NVIDIA Cosmos 3 Super Text-to-Image — Generate photorealistic images from text prompts using the Cosmos 3 architecture.

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From

$0.135/SEC

One API for All Media AI.

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Nvidia Cosmos 3 Super Image-to-Video API

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install

Setup API Key

Capabilities

MCP Server

Supported Clients

Install

Configuration

Available Tools

API Schema

LLM-Friendly Prompt Template

NVIDIA Cosmos 3 Super Image-to-Video

🌟 Key Features

🎬 Image-Driven Animation

📝 Prompt-Guided Motion

🚫 Negative Prompting

⏱ Flexible Duration Control

🔁 Reproducible Results

⚙️ Parameters

💲 Pricing

💡 Prompt Tips

🎯 Use Cases

📝 Notes

🔗 Related Models

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VEED Lipsync

Seedance 2.5 Reference-to-Video

Seedance 2.5 Image-to-Video

Seedance 2.5 Text-to-Video

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MiniMax H3 Image-to-Video

MiniMax H3 Text-to-Video

Youchuan V8.2 Image-to-Video

Seedance 2.0 Mini Reference-to-Video

Seedance 2.0 Mini Image-to-Video

Seedance 2.0 Mini Text-to-Video

HappyHorse-1.1 Text-to-video

HappyHorse-1.1 Reference-to-video

HappyHorse-1.1 Image-to-video

Gemini Omni Flash Reference-to-Video

One API for All Media AI.

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values