Higgsfield API - AI Video Generation APIs

by Higgsfield

Higgsfield API, developers can transform images into videos and generate motion content from text prompts. The API is designed for social media creators, marketers, and developers who need quick, high-quality video generation without complex production pipelines.

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Higgsfield 1.0 Image to Video API Documentation

https://gateway.pixazo.ai/ai-model-api/v1/image-to-video

Authentication

All requests require an API key passed via header.

Header	Type	Required	Description
Ocp-Apim-Subscription-Key	string	Yes	Your API subscription key

Image To Video Request - AI Model API

Request Code

POST https://gateway.pixazo.ai/ai-model-api/v1/image-to-video
Content-Type: application/json
Cache-Control: no-cache
Ocp-Apim-Subscription-Key: YOUR_SUBSCRIPTION_KEY

{
  "model": "dop-lite",
  "prompt": "A serene lake with gentle ripples, birds flying overhead, cinematic lighting",
  "seed": 123456,
  "motions_id": "[MOTION_ID]",
  "motions_strength": 0.7,
  "input_images": ["https://example.com/images/lake-scene.jpg"],
  "enhance_prompt": true
}

import requests

url = "https://gateway.pixazo.ai/ai-model-api/v1/image-to-video"
headers = {
    "Content-Type": "application/json",
    "Cache-Control": "no-cache",
    "Ocp-Apim-Subscription-Key": "YOUR_SUBSCRIPTION_KEY"
}
data = {
    "model": "dop-lite",
    "prompt": "A serene lake with gentle ripples, birds flying overhead, cinematic lighting",
    "seed": 123456,
    "motions_id": "[MOTION_ID]",
    "motions_strength": 0.7,
    "input_images": ["https://example.com/images/lake-scene.jpg"],
    "enhance_prompt": True
}

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

const url = 'https://gateway.pixazo.ai/ai-model-api/v1/image-to-video';
const headers = {
  'Content-Type': 'application/json',
  'Cache-Control': 'no-cache',
  'Ocp-Apim-Subscription-Key': 'YOUR_SUBSCRIPTION_KEY'
};
const data = {
  model: 'dop-lite',
  prompt: 'A serene lake with gentle ripples, birds flying overhead, cinematic lighting',
  seed: 123456,
  motions_id: '[MOTION_ID]',
  motions_strength: 0.7,
  input_images: ['https://example.com/images/lake-scene.jpg'],
  enhance_prompt: true
};

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

curl -X POST "https://gateway.pixazo.ai/ai-model-api/v1/image-to-video" \
-H "Content-Type: application/json" \
-H "Cache-Control: no-cache" \
-H "Ocp-Apim-Subscription-Key: YOUR_SUBSCRIPTION_KEY" \
--data-raw '{
  "model": "dop-lite",
  "prompt": "A serene lake with gentle ripples, birds flying overhead, cinematic lighting",
  "seed": 123456,
  "motions_id": "[MOTION_ID]",
  "motions_strength": 0.7,
  "input_images": ["https://example.com/images/lake-scene.jpg"],
  "enhance_prompt": true
}'

Output

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

Try Now

Webhook (Optional)

Add the X-Webhook-URL header to your submit request to receive a POST callback when the job completes — no polling required.

Webhook Headers

Header	Required	Default	Description
`X-Webhook-URL`	Yes (to enable)	—	HTTPS endpoint on your server that will receive the `POST` callback. Must respond `2xx` within a few seconds (process async if needed).
`X-Webhook-Mode`	No	`terminal`	`terminal` — fires once at the final status (`COMPLETED`/`FAILED`/`ERROR`). `sync` — fires on every poll cycle plus the terminal event, and caps the queue’s polling delay at 15s for tighter progress updates.

Example: enable webhook

X-Webhook-URL: https://your-server.com/webhook/callback
X-Webhook-Mode: terminal

Callback Payload

Your endpoint receives a POST application/json with the same shape as the GET /v2/requests/status/{request_id} response. Example terminal callback (mode terminal):

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ai-model-api",
  "error": null,
  "output": {
    "media_url": [
      "https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/output.mp4"
    ],
    "media_type": "video/mp4"
  },
  "created_at": "2026-05-22T13:17:32.110Z",
  "updated_at": "2026-05-22 13:19:23",
  "completed_at": "2026-05-22 13:19:23"
}

Failure callback shape

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ai-model-api",
  "error": "Description of the error",
  "output": null,
  "created_at": "...",
  "updated_at": "...",
  "completed_at": "..."
}

Delivery semantics

terminal mode (default) — exactly one POST when the request reaches a terminal status. No callback during PROCESSING.
sync mode — POST on every status poll (with delay capped at ~15s) plus a final POST at terminal status. Use when you want progress updates.
Idempotency — use request_id as your idempotency key. Network retries can deliver the same callback more than once; your handler must tolerate duplicates.
Response — respond 200 OK within a few seconds. The queue does not block on slow handlers, but persistent failures may stop further deliveries.
HTTPS required — plain http:// URLs are rejected.

Request Parameters - Image To Video Request

Parameter	Required	Type	Default	Allowed values / range	Description
model	Yes	enum string	—	dop-lite , dop-preview , dop-turbo	The image-to-video model to use for generation. Available options: `dop-lite`, `dop-preview`, `dop-turbo`. Each model offers different quality and speed trade-offs. Example: `dop-lite`
prompt	Yes	string	—	—	Text description/prompt for video generation. Describes the desired video content, style, and motion. Be descriptive for better results. Example: `A peaceful sunset over mountains with clouds moving slowly`
seed	Yes	integer	—	1–1	Random seed for reproducible results. Must be between 1 and 1,000,000. Using the same seed with identical parameters will produce similar results. Example: `500000`
motions_id	Yes	string (UUID)	—	—	Unique identifier for the motion preset. This ID corresponds to predefined motion effects available in the system. You can get motion_id using the API: https://endpoints.appypie.com/api-details#api=ai-model-api-polling&operation=motions
motions_strength	Yes	number (0-1)	—	—	Intensity of the motion effect application. Range from 0.0 (minimal effect) to 1.0 (maximum effect) with 0.01 step precision. Higher values create more pronounced motion. Example: `0.75`
input_images	Yes	array of strings	—	—	Array of image URLs for video generation. Each URL must be a publicly accessible link pointing to a valid image file. Supported formats include JPEG, PNG, WebP. Must contain exactly 1 element for standard generation. Example: `["https://example.com/image1.jpg"]`
input_images_end	No	array of strings	null	—	Array of end frame image URLs for Start & End Frame functionality. Each URL must be a publicly accessible link pointing to a valid image file. Supported formats include JPEG, PNG, WebP. Minimum length: 1 element. Enables advanced frame interpolation between start and end images. Example: `["https://example.com/end-frame.jpg"]`
enhance_prompt	Yes	boolean	—	true, false	Whether to automatically enhance and refine the provided prompt. When `true`, the system will optimize your prompt for better video generation results. Example: `true`
check_nsfw	No	boolean	true	true, false	Whether to perform NSFW (Not Safe For Work) content detection. When `true`, the system will check for inappropriate content and may reject the request if detected.

Minimum Request

{
  "model": "dop-lite",
  "prompt": "A serene lake with gentle ripples, birds flying overhead, cinematic lighting",
  "seed": 123456,
  "motions_id": "[MOTION_ID]",
  "motions_strength": 0.7,
  "input_images": ["https://example.com/images/lake-scene.jpg"],
  "enhance_prompt": true
}

Full Request (all options)

{
  "model": "dop-lite",
  "prompt": "A serene lake with gentle ripples, birds flying overhead, cinematic lighting",
  "seed": 123456,
  "motions_id": "[MOTION_ID]",
  "motions_strength": 0.7,
  "input_images": ["https://example.com/images/lake-scene.jpg"],
  "input_images_end": ["https://example.com/images/lake-end-frame.jpg"],
  "enhance_prompt": true,
  "check_nsfw": true
}

Response

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

Request Headers

Header	Value
Content-Type	application/json
Cache-Control	no-cache
Ocp-Apim-Subscription-Key	Your API subscription key

Response Handling

Common status codes for Image To Video Request.

Code	Meaning
202	Accepted — Request queued
400	Bad Request
401	Unauthorized
403	Forbidden
404	Not Found
429	Too Many Requests
500	Internal Server Error

Response Handling

Common status codes.

Code	Meaning
202	Accepted — Request queued
400	Bad Request
401	Unauthorized
402	Insufficient Balance
403	Forbidden
429	Too Many Requests
500	Internal Server Error

Error Responses

Queue system errors and model validation errors.

Queue System Errors

// 402 — Insufficient balance
{
  "error": "Insufficient Balance",
  "message": "Your wallet does not have enough balance."
}

// 400 — Model not found
{
  "error": "Model not found",
  "message": "Model 'ai-model-api' not found or is disabled"
}

Error via Status/Webhook

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ai-model-api",
  "error": "Description of the error",
  "output": null
}

Retrieving Results

Poll the universal status endpoint to check progress and retrieve results.

Endpoint

GET https://gateway.pixazo.ai/v2/requests/status/{request_id}
Ocp-Apim-Subscription-Key: YOUR_API_KEY

cURL Example

curl -H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
  "https://gateway.pixazo.ai/v2/requests/status/ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"

Response (Completed)

{
  "request_id": "ai-model-api_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ai-model-api",
  "error": null,
  "output": {
    "media_url": [
      "https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ai-model-api_019dxxxx-xxxx/output.ext"
    ],
    "media_type": "application/octet-stream"
  },
  "created_at": "2026-03-31T10:00:00.000Z",
  "updated_at": "2026-03-31T10:00:15.000Z",
  "completed_at": "2026-03-31T10:00:15.000Z"
}

Response Fields

Field	Type	Description
request_id	string	Unique request identifier
status	string	QUEUED, PROCESSING, COMPLETED, FAILED, or ERROR
model_id	string	Model that processed the request
error	string\|null	Error message if failed
output.media_url	array	URLs to generated media (R2 CDN)
output.media_type	string	MIME type of the output
created_at	string	When request was created
completed_at	string\|null	When request completed
polling_url	string	Status URL (initial response only)

Status Values

Status	Description
QUEUED	Request accepted, waiting to be processed
PROCESSING	Being processed by the model
COMPLETED	Done — output contains the result
FAILED	Failed — check error field
ERROR	System error — not charged

Status Flow

QUEUED → PROCESSING → COMPLETED
                    → FAILED
                    → ERROR

Typical Workflow

Send a generate request to the API endpoint
Save the request_id from the response
Poll every 5-10 seconds: GET /v2/requests/status/{request_id}
When status is "COMPLETED", download from output.media_url

Tip: Use X-Webhook-URL header to get a callback instead of polling.

Higgsfield 1.0 Image to Video API Pricing

Resolution	Duration	Price (USD)
dop-lite	5s	$0.135
dop-preview	5s	$0.573
dop-turbo	5s	$0.416