Retrieve a generated image
March 9, 2026 (August 9, 2026)
Table of contents
Use this endpoint to retrieve a generated image. Attempting to retrieve an image that is still processing will return the current status. Poll until image_status_final is true.
To create images, use POST images/create.
https://api.useapi.net/v2/pixverse/images/
image_id
Request Headers
Authorization: Bearer {API token}
Content-Type: application/json
API tokenis required, see Setup useapi.net for details.
Path parameter
image_idis required. Specify the image_id you want to retrieve (fromsuccess_idsarray returned by POST images/create).
Responses
-
{ "image_id": "user:<userid>-pixverse:<email>-image:<number>", "image_status": 1, "account_id": 12345678, "model": "seedream-4.0", "prompt": "<prompt>", "quality": "1080p", "aspect_ratio": "auto", "seed": 12345, "image_url": "https://media.pixverse.ai/...webp", "output_width": 1920, "output_height": 1080, "customer_img_paths": [], "customer_img_urls": null, "queue_data": { "estimated_gen_time": 60, "processing_start_time": "2026-03-08T00:30:00Z", "queue_count": 0, "queue_time": 1 }, "created_at": "2026-03-08T00:30:00Z", "updated_at": "2026-03-08T00:31:00Z", "image_status_name": "COMPLETED", "image_status_final": true } -
{ "error": "<Error message>", "code": 400 } -
{ "error": "Unauthorized", "code": 401 } -
The image was deleted or not found.
{ "error": "The original image has been deleted" }
Image Status Values
| image_status | image_status_name | image_status_final | Description |
|---|---|---|---|
| 1 | COMPLETED | true | Image ready, check image_url |
| 5 | QUEUED | false | Waiting in queue |
| 7 | MODERATED | true | Content moderation triggered |
| 9 | GENERATING | false | Image is being generated |
| 10 | PROCESSING | false | Post-processing |
Model
{ // TypeScript, all fields are optional
image_id: string
image_status: number
account_id: number
asset_id: number
asset_source: number
asset_type: number
create_mode: string
creation_type: number
model: string
prompt: string
quality: string
aspect_ratio: string
seed: number
image_path: string
image_url: string
output_width: number
output_height: number
customer_img_paths: string[]
customer_img_urls: string[] | null
platform: string
queue_data?: {
estimated_gen_time: number
processing_start_time: string
queue_count: number
queue_time: number
reason?: string
slow_queue?: boolean
platform?: string
task_id?: number
}
created_at: string
updated_at: string
is_collected: boolean
water_mark: boolean
media_locked: number
// added
image_status_name: string
image_status_final: boolean
error: string
}
queue_data is present while a generation is waiting and reports its position — queue_count is the number of tasks ahead, queue_time the wait so far, and estimated_gen_time the projected generation time in seconds. It comes straight from PixVerse and is passed through unchanged.
When slow_queue is true the account has been moved to a reduced-priority queue and reason says why. The value daily_limit_exceeded means the account has passed its daily allowance for that particular unlimited Relax Mode model — the request is not rejected and still costs no credits, it just takes considerably longer. The allowance is per model, so the same account keeps running at full speed on every other model. Switch model, or spread the load across more accounts, if you see this persistently.
Examples
-
curl "https://api.useapi.net/v2/pixverse/images/image_id" \ -H "Accept: application/json" \ -H "Authorization: Bearer …" -
const token = "API token"; const image_id = "image_id to retrieve"; const apiUrl = `https://api.useapi.net/v2/pixverse/images/${image_id}`; const response = await fetch(apiUrl, { headers: { "Authorization": `Bearer ${token}`, }, }); const result = await response.json(); console.log("response", {response, result}); -
import requests token = "API token" image_id = "image_id to retrieve" apiUrl = f"https://api.useapi.net/v2/pixverse/images/{image_id}" headers = { "Content-Type": "application/json", "Authorization" : f"Bearer {token}" } response = requests.get(apiUrl, headers=headers) print(response, response.json())