Omni-Flash-Ext Video Generation

curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
  }'

import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "Omni-Flash-Ext",
  prompt: "a girl is dancing happily in a sunny garden",
  duration: 10,
  resolution: "1080p",
  aspect_ratio: "9:16"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "Omni-Flash-Ext",
        "prompt":       "a girl is dancing happily in a sunny garden",
        "duration":     10,
        "resolution":   "1080p",
        "aspect_ratio": "9:16",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01KS1H7ZYSJWH1N779S2FSHTKA"
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "Authentication failed. Please check your API key",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient account balance. Please recharge and try again",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Too many requests. Please try again later",
    "type": "rate_limit_error"
  }
}

POST

videos

generations

curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
  }'

import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "Omni-Flash-Ext",
  prompt: "a girl is dancing happily in a sunny garden",
  duration: 10,
  resolution: "1080p",
  aspect_ratio: "9:16"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "Omni-Flash-Ext",
        "prompt":       "a girl is dancing happily in a sunny garden",
        "duration":     10,
        "resolution":   "1080p",
        "aspect_ratio": "9:16",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01KS1H7ZYSJWH1N779S2FSHTKA"
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "Authentication failed. Please check your API key",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient account balance. Please recharge and try again",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Too many requests. Please try again later",
    "type": "rate_limit_error"
  }
}

curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
  }'

import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "Omni-Flash-Ext",
    "prompt": "a girl is dancing happily in a sunny garden",
    "duration": 10,
    "resolution": "1080p",
    "aspect_ratio": "9:16"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = "https://api.apimart.ai/v1/videos/generations";

const payload = {
  model: "Omni-Flash-Ext",
  prompt: "a girl is dancing happily in a sunny garden",
  duration: 10,
  resolution: "1080p",
  aspect_ratio: "9:16"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.apimart.ai/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "Omni-Flash-Ext",
        "prompt":       "a girl is dancing happily in a sunny garden",
        "duration":     10,
        "resolution":   "1080p",
        "aspect_ratio": "9:16",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01KS1H7ZYSJWH1N779S2FSHTKA"
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "Authentication failed. Please check your API key",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient account balance. Please recharge and try again",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Too many requests. Please try again later",
    "type": "rate_limit_error"
  }
}

Authentication

string

required

All requests require Bearer Token authentication.Get an API key:Visit the API Key management page to get your API key.Add the following header when making requests:

Authorization: Bearer YOUR_API_KEY

Request Parameters

string

required

Video generation model name. Must be Omni-Flash-Ext.

string

required

Video content description. We recommend describing the scene, subject, action, environment, camera movement, visual style, and audio cues in detail.Example: "a girl is dancing happily in a sunny garden"

integer

default:"6"

Video duration in seconds.Supported values: 4, 6, 8, 10.

Other values such as 5 or 7 will return an invalid_duration error.

Do not pass duration when uploading a reference video. duration and video_urls cannot be passed at the same time.

string

default:"720p"

Video resolution. Values are case-insensitive.Supported values:

720p
1080p
4k

Other resolutions will return an invalid_resolution error.

string

default:"16:9"

Video aspect ratio. Use it to control landscape or portrait output.Common values:

16:9 - landscape
9:16 - portrait

Default: 16:9

string

Compatibility field. It has the same meaning as aspect_ratio. If both are provided, keep them consistent.

string

Generation type, used to specify how the images are used.Options:

frame - First-frame mode. image_urls can only contain 1 image, used as the first frame of the video.
reference - Reference mode. image_urls can contain 1 or 3 images, used as reference images.

When generation_type is frame, image_urls only supports 1 image; passing any other count returns an unsupported_image_count error.

array<url>

Reference image URL array. You can omit it, provide 1 image, or provide 3 images, depending on generation_type:

Omitted or empty array: Text-to-Video
1 image: single-image Image-to-Video
3 images: reference image fusion (only supported when generation_type is reference)

Relationship with generation_type:

generation_type is frame: only 1 image can be uploaded.
generation_type is reference: 1 or 3 images can be uploaded.

Only publicly accessible image URLs are supported.

The first-frame plus last-frame mode with 2 images is not supported. Passing 2 images returns an unsupported_image_count error. 4 or more images have not been fully verified and are not recommended.

array<url>

Reference video URL array. You can omit it or provide 1 reference video.Only publicly accessible HTTP/HTTPS video URLs are supported. You can pass it together with image_urls: images are used as identity or composition references, while the video is used as motion reference.

Omni-Flash-Ext supports only 0 or 1 reference video. Passing 2 or more videos returns an unsupported_video_count error.

Do not pass duration when passing video_urls. video_urls and duration cannot be passed at the same time.

Response

integer

Response status code. Successful requests return 200.

array

Returned task array.

Show Array item

string

Initial task status. It is submitted after successful submission.

string

Unique task ID for querying task status and result.

Query Task Result

Video generation is asynchronous. After submission, the API returns a task_id. Use the Get task status endpoint to query progress and results.

cURL

curl --request GET \
  --url https://api.apimart.ai/v1/tasks/task_01KS1H7ZYSJWH1N779S2FSHTKA \
  --header 'Authorization: Bearer <token>'

We recommend waiting 5-10 seconds after submission before the first query, then polling every 5-10 seconds. A single task usually completes in about 3-5 minutes.

Successful Result Example

{
  "code": 200,
  "data": {
    "id": "task_01KS1H7ZYSJWH1N779S2FSHTKA",
    "status": "completed",
    "progress": 100,
    "created": 1779246294,
    "completed": 1779246534,
    "actual_time": 240,
    "estimated_time": 600,
    "cost": 0.4,
    "credits_cost": 4,
    "result": {
      "videos": [
        {
          "url": ["https://cdn.example.com/videos/abc.mp4"],
          "expires_at": 1779332760
        }
      ]
    }
  }
}

Failed Result Example

{
  "code": 200,
  "data": {
    "id": "task_01KS1H7ZYSJWH1N779S2FSHTKA",
    "status": "failed",
    "progress": 100,
    "created": 1779246294,
    "completed": 1779246534,
    "actual_time": 240,
    "estimated_time": 600,
    "cost": 0,
    "credits_cost": 0,
    "error": {
      "message": "invalid duration 7, must be one of 4/6/8/10",
      "code": "task_failed"
    }
  }
}

Use Cases

Scenario 1: Text-to-Video

{
  "model": "Omni-Flash-Ext",
  "prompt": "a beautiful sunset over the ocean with seagulls flying",
  "duration": 6,
  "resolution": "720p",
  "aspect_ratio": "16:9"
}

Scenario 2: Single-Image Video

{
  "model": "Omni-Flash-Ext",
  "prompt": "make the character smile and slowly turn around, cinematic camera motion",
  "duration": 6,
  "resolution": "1080p",
  "aspect_ratio": "9:16",
  "image_urls": ["https://example.com/character.jpg"]
}

Scenario 3: 3-Reference-Image Fusion

{
  "model": "Omni-Flash-Ext",
  "prompt": "a creative scene combining these elements with smooth camera motion",
  "duration": 10,
  "resolution": "1080p",
  "aspect_ratio": "9:16",
  "image_urls": [
    "https://example.com/scene.jpg",
    "https://example.com/character.jpg",
    "https://example.com/product.jpg"
  ]
}

Scenario 4: 4K Short Video

{
  "model": "Omni-Flash-Ext",
  "prompt": "close-up of a hummingbird hovering in front of a red flower",
  "duration": 4,
  "resolution": "4k",
  "aspect_ratio": "16:9"
}

Scenario 5: Reference Video Generation

{
  "model": "Omni-Flash-Ext",
  "prompt": "the same scene but at night with neon lights",
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "video_urls": ["https://example.com/reference.mp4"]
}

Error Codes

HTTP	Error type	Meaning	Suggested action
400	`invalid_request_error`	`model` is not `Omni-Flash-Ext`, `prompt` is empty, or the JSON format is invalid	Check the request body
400	`invalid_duration`	`duration` is not `4`, `6`, `8`, or `10`	Use a supported duration
400	`invalid_resolution`	`resolution` is not `720p`, `1080p`, or `4k`	Use a supported resolution
400	`unsupported_image_count`	The number of `image_urls` is unsupported, commonly caused by passing 2 images	Use 0, 1, or 3 images
400	`unsupported_video_count`	The number of `video_urls` is unsupported, commonly caused by passing 2 or more videos	Use 0 or 1 reference video
401	`authentication_error`	Invalid token	Check the Bearer Token
402	`payment_required`	Insufficient balance	Recharge and try again
429	`rate_limit_error`	Rate limit exceeded	Reduce concurrency or try again later

When a task fails, the task status API returns the failure reason in data.error. Common causes include temporary upstream quota exhaustion, content moderation failure, or upstream timeout.

Pixverse v6 Video Generation Gemini Omni Flash Video Generation

Overview

Text Series

Image Series

Video Series

Audio Series

Moderation Series

Upload Management

Task Management

Account Management

Omni-Flash-Ext Video Generation

Authentication

Request Parameters

Response

Query Task Result

Successful Result Example

Failed Result Example

Use Cases

Scenario 1: Text-to-Video

Scenario 2: Single-Image Video

Scenario 3: 3-Reference-Image Fusion

Scenario 4: 4K Short Video

Scenario 5: Reference Video Generation

Error Codes

​Authentication

​Request Parameters

​Response

​Query Task Result

​Successful Result Example

​Failed Result Example

​Use Cases

​Scenario 1: Text-to-Video

​Scenario 2: Single-Image Video

​Scenario 3: 3-Reference-Image Fusion

​Scenario 4: 4K Short Video

​Scenario 5: Reference Video Generation

​Error Codes

Authentication

Request Parameters

Response

Query Task Result

Successful Result Example

Failed Result Example

Use Cases

Scenario 1: Text-to-Video

Scenario 2: Single-Image Video

Scenario 3: 3-Reference-Image Fusion

Scenario 4: 4K Short Video

Scenario 5: Reference Video Generation

Error Codes