> ## Documentation Index > Fetch the complete documentation index at: https://docs.apipod.ai/llms.txt > Use this file to discover all available pages before exploring further. # Seedance 2.0 mini Text to Video > Seedance 2.0 Mini Text to Video is a efficiency-oriented route for scaled workloads that turns text instructions into video without requiring source media. ## OpenAPI ````yaml api-reference/openapi/seedance--2-0-mini-text-to-video.yaml POST /v1/videos/generations openapi: 3.1.0 info: title: Seedance 2.0 mini Text to Video API version: 1.0.0 description: >- Seedance 2.0 Mini Text to Video is a efficiency-oriented route for scaled workloads that turns text instructions into video without requiring source media. The Seedance family emphasizes prompt following, coherent motion, multi-shot storytelling, and synchronized audio. In APIPod, the public model ID is seedance-2.0-mini-t2v. It supports text-to-video, accepts text inputs, and returns results through asynchronous video tasks. servers: - url: https://api.apipod.ai description: Production security: [] paths: /v1/videos/generations: post: tags: - Seedance 2.0 mini Text to Video summary: Create Generation Task description: >- Seedance 2.0 Mini Text to Video is a efficiency-oriented route for scaled workloads that turns text instructions into video without requiring source media. The Seedance family emphasizes prompt following, coherent motion, multi-shot storytelling, and synchronized audio. In APIPod, the public model ID is seedance-2.0-mini-t2v. It supports text-to-video, accepts text inputs, and returns results through asynchronous video tasks. operationId: create-seedance-2-0-mini-text-to-video requestBody: required: true content: application/json: schema: type: object title: Seedance 2.0 Mini Text to Video properties: model: type: string title: Model ID description: Public APIPod model ID. const: seedance-2.0-mini-t2v prompt: type: string title: Prompt description: The generation videos prompt. maxLength: 1000 duration: type: integer title: Duration enum: - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 default: 5 minimum: 4 maximum: 15 resolution: type: string title: Resolution description: Generate video resolution. enum: - 480p - 720p default: 720p aspect_ratio: type: string title: Aspect Ratio description: >- Aspect ratio of the generated video,When the ratio is configured as adaptive, the model will automatically adapt the aspect ratio according to the generation scenario. enum: - adaptive - '16:9' - '4:3' - '1:1' - '3:4' - '9:16' - '21:9' default: adaptive watermark: type: boolean title: Watermark description: Whether the generated video contains a watermark default: false web_search: type: boolean title: Web Search description: >- After enabling, the model will independently decide whether to search Internet content (such as products, weather, etc.) based on the user's prompt. This can improve the timeliness of generated videos but will also introduce a certain degree of latency. default: false generate_audio: type: boolean title: Generate Audio description: >- Controls whether the generated video contains audio synchronized with the visuals. default: true return_last_frame: type: boolean title: Retrun Last Frame description: >- Whether to return the last frame image of the generated video. Using this parameter enables the generation of multiple consecutive videos: taking the last frame of the previous generated video as the first frame of the next video task to quickly generate multiple consecutive videos, and the first item in the returned result is this image. default: false required: - model - prompt example: model: seedance-2.0-mini-t2v prompt: >- A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound. duration: 5 resolution: 720p aspect_ratio: adaptive generate_audio: true responses: '200': description: Task accepted content: application/json: schema: type: object title: Task Submit Response description: Standard response for task submission properties: code: type: integer data: type: object title: Task Submit Data description: Data content for task submission properties: task_id: type: string description: generatation task id message: type: string required: - code - message - data example: code: 200 message: success data: task_id: vid_task_01JEXAMPLE security: - bearerAuth: [] x-codeSamples: - lang: Shell label: cURL source: |- curl https://api.apipod.ai/v1/videos/generations \ -H "Authorization: Bearer $APIPOD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "seedance-2.0-mini-t2v", "prompt": "A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound.", "duration": 5, "resolution": "720p", "aspect_ratio": "adaptive", "generate_audio": true }' - lang: Python label: Python source: |- import os import requests payload = { "model": "seedance-2.0-mini-t2v", "prompt": "A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound.", "duration": 5, "resolution": "720p", "aspect_ratio": "adaptive", "generate_audio": True } response = requests.post( "https://api.apipod.ai/v1/videos/generations", headers={ "Authorization": f"Bearer {os.environ['APIPOD_API_KEY']}", "Content-Type": "application/json", }, json=payload, timeout=60, ) response.raise_for_status() print(response.json()) - lang: Go label: Go source: |- package main import ( "bytes" "encoding/json" "fmt" "net/http" "os" ) func main() { payload := map[string]any{} if err := json.Unmarshal([]byte(`{ "model": "seedance-2.0-mini-t2v", "prompt": "A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound.", "duration": 5, "resolution": "720p", "aspect_ratio": "adaptive", "generate_audio": true }`), &payload); err != nil { panic(err) } body, err := json.Marshal(payload) if err != nil { panic(err) } req, err := http.NewRequest(http.MethodPost, "https://api.apipod.ai/v1/videos/generations", bytes.NewReader(body)) if err != nil { panic(err) } req.Header.Set("Authorization", "Bearer "+os.Getenv("APIPOD_API_KEY")) req.Header.Set("Content-Type", "application/json") resp, err := http.DefaultClient.Do(req) if err != nil { panic(err) } defer resp.Body.Close() fmt.Println(resp.Status) } - lang: Rust label: Rust source: |- use reqwest::Client; use serde_json::json; use std::env; #[tokio::main] async fn main() -> Result<(), Box> { let payload = json!({ "model": "seedance-2.0-mini-t2v", "prompt": "A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound.", "duration": 5, "resolution": "720p", "aspect_ratio": "adaptive", "generate_audio": true }); let response = Client::new() .post("https://api.apipod.ai/v1/videos/generations") .bearer_auth(env::var("APIPOD_API_KEY")?) .json(&payload) .send() .await? .error_for_status()?; println!("{}", response.text().await?); Ok(()) } - lang: JavaScript label: JavaScript source: >- const response = await fetch("https://api.apipod.ai/v1/videos/generations", { method: "POST", headers: { Authorization: `Bearer ${process.env.APIPOD_API_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify( { "model": "seedance-2.0-mini-t2v", "prompt": "A cinematic tracking shot through a rain-soaked neon street, realistic motion, synchronized ambient sound.", "duration": 5, "resolution": "720p", "aspect_ratio": "adaptive", "generate_audio": true } ), }); if (!response.ok) { throw new Error(`APIPod request failed: ${response.status} ${await response.text()}`); } console.log(await response.json()); components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: APIPod API key description: Use your APIPod API key as a Bearer token in the Authorization header. ````