### GET /v1/models

Source: https://vividai.run/docs

Lists all available models.

```APIDOC
## GET /v1/models

### Description
Retrieves a list of all models available for use.

### Method
GET

### Endpoint
https://vividai.run/v1/models
```

--------------------------------

### GET /v1/models

Source: https://vividai.run/docs

Retrieve the list of available models for image and video generation.

```APIDOC
## GET /v1/models

### Description
Retrieve the list of available models for image and video generation.

### Method
GET

### Endpoint
https://vividai.run/v1/models
```

--------------------------------

### GET /v1/videos/{id}

Source: https://vividai.run/docs

Check the status of a video generation task.

```APIDOC
## GET /v1/videos/{id}

### Description
Check the status of a video generation task.

### Method
GET

### Endpoint
https://vividai.run/v1/videos/{id}

### Parameters
#### Path Parameters
- **id** (string) - Required - The unique identifier of the video task
```

--------------------------------

### GET /v1/videos/{id}

Source: https://vividai.run/docs

Retrieves the status of a video generation task.

```APIDOC
## GET /v1/videos/{id}

### Description
Polls the status of a video generation task using its ID.

### Method
GET

### Endpoint
https://vividai.run/v1/videos/{id}
```

--------------------------------

### GET /v1/videos/{id}/content

Source: https://vividai.run/docs

Downloads the generated video file.

```APIDOC
## GET /v1/videos/{id}/content

### Description
Downloads the completed video file in MP4 format.

### Method
GET

### Endpoint
https://vividai.run/v1/videos/{id}/content
```

--------------------------------

### GET /v1/videos/{id}

Source: https://vividai.run/docs

Polls the status of an asynchronous video generation task.

```APIDOC
## GET /v1/videos/{id}

### Description
Polls the status of a video generation task. Status transitions from 'queued' to 'in_progress' to 'completed' or 'failed'.

### Method
GET

### Endpoint
/v1/videos/{id}

### Parameters
#### Path Parameters
- **id** (string) - Required - The unique task identifier

### Response
#### Success Response (200)
- **status** (string) - Current status of the task
```

--------------------------------

### GET /v1/videos/{id}/content

Source: https://vividai.run/docs

Download the generated MP4 video content.

```APIDOC
## GET /v1/videos/{id}/content

### Description
Download the generated MP4 video content.

### Method
GET

### Endpoint
https://vividai.run/v1/videos/{id}/content

### Parameters
#### Path Parameters
- **id** (string) - Required - The unique identifier of the video task
```

--------------------------------

### GET /v1/videos/{id}/content

Source: https://vividai.run/docs

Retrieves the raw MP4 binary content of a completed video task.

```APIDOC
## GET /v1/videos/{id}/content

### Description
Retrieves the raw MP4 binary content once the video generation task is completed.

### Method
GET

### Endpoint
/v1/videos/{id}/content

### Parameters
#### Path Parameters
- **id** (string) - Required - The unique task identifier

### Response
#### Success Response (200)
- **body** (binary) - Raw MP4 binary data
```

--------------------------------

### POST /v1/videos

Source: https://vividai.run/docs

Create an asynchronous video generation task.

```APIDOC
## POST /v1/videos

### Description
Create an asynchronous video generation task.

### Method
POST

### Endpoint
https://vividai.run/v1/videos

### Parameters
#### Request Body
- **model** (string) - Required - Model name
- **prompt** (string) - Required - Text description
- **seconds** (string/int) - Required - Duration in seconds
- **size** (string) - Optional - Resolution/ratio
- **input_reference** (file) - Optional - Reference image for video generation
```

--------------------------------

### POST /v1/videos

Source: https://vividai.run/docs

Initiates an asynchronous video generation task.

```APIDOC
## POST /v1/videos

### Description
Initiates an asynchronous video generation task. Returns a task object with a status of 'queued'.

### Method
POST

### Endpoint
/v1/videos

### Response
#### Success Response (200)
- **id** (string) - Unique task identifier
- **object** (string) - Object type, returns 'video'
- **status** (string) - Current task status, initially 'queued'
```

--------------------------------

### Video Generation Workflow with curl

Source: https://vividai.run/docs

Asynchronous video generation process involving task creation, status polling, and content download.

```bash
# 1) 创建任务 → 立即返回 {"id": "...", "status": "queued"}
curl https://vividai.run/v1/videos \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-video",
    "prompt": "a paper boat sailing down a rainy street, cinematic",
    "seconds": "6",
    "size": "1280x720"
  }'

# 2) 轮询状态,直到 status=completed
curl https://vividai.run/v1/videos/<VIDEO_ID> \
  -H "Authorization: Bearer YOUR_API_KEY"

# 3) 下载 mp4(完成后)
curl https://vividai.run/v1/videos/<VIDEO_ID>/content \
  -H "Authorization: Bearer YOUR_API_KEY" -o out.mp4
```

--------------------------------

### POST /v1/videos

Source: https://vividai.run/docs

Creates a new video generation task.

```APIDOC
## POST /v1/videos

### Description
Initiates a video generation task. Returns a task ID and status.

### Method
POST

### Endpoint
https://vividai.run/v1/videos

### Request Body
- **model** (string) - Required - The video model identifier
- **prompt** (string) - Required - The text description for the video
- **seconds** (string) - Required - Duration of the video
- **size** (string) - Required - Resolution (e.g., "1280x720")
```

--------------------------------

### Text-to-Image Generation with Python

Source: https://vividai.run/docs

Generate images using the OpenAI SDK. Note that the returned URL is a temporary direct link and should be downloaded promptly.

```python
import urllib.request
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://vividai.run/v1")

resp = client.images.generate(
    model="imagine-1.5pro",
    prompt="a corgi running in a golden wheat field, cinematic",
    size="2048x2048",   # 2K · 1:1,见下方对照表
)
# 结果是图片 URL(上游原始直链,会过期 → 尽快下载/转存)
urllib.request.urlretrieve(resp.data[0].url, "out.png")
```

--------------------------------

### List Available Models with curl

Source: https://vividai.run/docs

Retrieve a list of available models supported by the API.

```bash
curl https://vividai.run/v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"
```

--------------------------------

### Video Generation Workflow with Python

Source: https://vividai.run/docs

Automated video generation using requests to handle task submission, polling, and file saving.

```python
import time, requests

base = "https://vividai.run/v1"
h = {"Authorization": "Bearer YOUR_API_KEY"}

# 1) 创建
job = requests.post(f"{base}/videos", headers=h, json={
    "model": "grok-video",
    "prompt": "a paper boat sailing down a rainy street",
    "seconds": "6",
    "size": "1280x720",
}).json()
vid = job["id"]

# 2) 轮询
while True:
    s = requests.get(f"{base}/videos/{vid}", headers=h).json()
    if s["status"] in ("completed", "failed"):
        break
    time.sleep(5)

# 3) 下载
if s["status"] == "completed":
    mp4 = requests.get(f"{base}/videos/{vid}/content", headers=h).content
    open("out.mp4", "wb").write(mp4)
```

--------------------------------

### POST /v1/images/generations

Source: https://vividai.run/docs

Generate images from text prompts.

```APIDOC
## POST /v1/images/generations

### Description
Generate images from text prompts.

### Method
POST

### Endpoint
https://vividai.run/v1/images/generations

### Parameters
#### Request Body
- **model** (string) - Required - Model name (alias preferred)
- **prompt** (string) - Required - Text description
- **size** (string) - Optional - Width x Height (e.g., "1024x1024")
```

--------------------------------

### Image-to-Image Generation with Python

Source: https://vividai.run/docs

Edit images using the OpenAI SDK. The image parameter accepts a file object or a list of file objects for multiple references.

```python
import urllib.request
from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://vividai.run/v1")

resp = client.images.edit(
    model="imagine-1.5pro",
    image=open("input.png", "rb"),     # 多张:image=[open("a.png","rb"), open("b.png","rb")]
    prompt="把这张图改成赛博朋克风格",
)
# 结果是图片 URL(上游原始直链,会过期 → 尽快下载/转存)
urllib.request.urlretrieve(resp.data[0].url, "out.png")
```

--------------------------------

### POST /v1/images/generations

Source: https://vividai.run/docs

Generates an image based on a text prompt.

```APIDOC
## POST /v1/images/generations

### Description
Generates an image from a text prompt using a specified model and resolution.

### Method
POST

### Endpoint
https://vividai.run/v1/images/generations

### Request Body
- **model** (string) - Required - The model identifier (e.g., "imagine-1.5pro")
- **prompt** (string) - Required - The text description for image generation
- **size** (string) - Optional - The resolution (e.g., "2048x2048"), defaults to 1:1 2K

### Request Example
{
  "model": "imagine-1.5pro",
  "prompt": "a corgi running in a golden wheat field, cinematic",
  "size": "2048x2048"
}
```

--------------------------------

### POST /v1/images/edits

Source: https://vividai.run/docs

Edits an existing image based on a prompt.

```APIDOC
## POST /v1/images/edits

### Description
Modifies an uploaded image based on a text prompt.

### Method
POST

### Endpoint
https://vividai.run/v1/images/edits

### Request Body
- **model** (string) - Required - The model identifier
- **prompt** (string) - Required - The instruction for editing the image
- **size** (string) - Optional - The resolution
- **image** (file) - Required - The input image file
```

--------------------------------

### Image-to-Image Generation with curl

Source: https://vividai.run/docs

Perform image editing or style transfer using multipart form data. Multiple reference images can be provided by repeating the -F flag.

```bash
curl https://vividai.run/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F model="imagine-1.5pro" \
  -F prompt="把这张图改成赛博朋克风格" \
  -F size="2048x2048" \
  -F image=@input.png
# 多张参考图:重复 -F image=@a.png -F image=@b.png
```

--------------------------------

### POST /v1/images/edits

Source: https://vividai.run/docs

Perform image-to-image editing using multipart file uploads.

```APIDOC
## POST /v1/images/edits

### Description
Perform image-to-image editing using multipart file uploads.

### Method
POST

### Endpoint
https://vividai.run/v1/images/edits

### Parameters
#### Request Body
- **image** (file) - Required - Input image(s); use image[] for multiple files
- **prompt** (string) - Required - Editing/reference description
- **model** (string) - Required - Model name
- **size** (string) - Optional - Resolution/ratio setting
```

--------------------------------

### Text-to-Image Generation with curl

Source: https://vividai.run/docs

Perform text-to-image generation by sending a JSON payload to the generations endpoint.

```bash
curl https://vividai.run/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "imagine-1.5pro",
    "prompt": "a corgi running in a golden wheat field, cinematic",
    "size": "2048x2048"
  }'
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.