> ## 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. # Muse Video Text to Video > Muse Video Text to Video generates 5-60 second 720p clips from a prompt alone, with five aspect ratios, seven style presets and native voice and sound. `muse-video-t2v` turns a written prompt into a finished clip. There is no source media to prepare — you describe the shot and Muse Video handles motion, lighting and style, and generates synchronized voice and sound alongside the picture. ## Model at a glance | | | | - | - | | Public model ID | `muse-video-t2v` | | Input | text | | Output | video with audio | | Duration | 5, 10, 20, 30, 40, 50 or 60 seconds (default 5) | | Resolution | 720p | | Aspect ratio | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` (default `16:9`) | | Billing | per second of output | ## Parameters | Parameter | Type | Default | Notes | | - | - | - | - | | `prompt` | string | — | Required, up to 4000 characters. | | `duration` | integer | `5` | Must be one of 5, 10, 20, 30, 40, 50, 60. | | `aspect_ratio` | string | `16:9` | One of `16:9`, `9:16`, `1:1`, `4:3`, `3:4`. | | `resolution` | string | `720p` | 720p is the only supported tier. | | `style_preset` | string | `none` | See below. | | `generate_audio` | boolean | `true` | Set `false` to mute voices. | `negative_prompt`, `seed` and reference media are not supported on this model — use [`muse-video-i2v`](./muse-video-i2v) or [`muse-video-r2v`](./muse-video-r2v) when you need to guide the picture with images. ## Style presets | Value | Look | | - | - | | `none` | Let the prompt decide. | | `cinematic_realistic` | Live-action film look, natural light and shallow depth of field. | | `2d_anime` | Hand-drawn animation with flat shading and bold linework. | | `3d_xianxia` | Chinese-fantasy CGI — flowing robes, misty peaks, glowing energy. | | `american_comic` | Western comic panels with heavy ink and halftone texture. | | `cyberpunk_neon` | Rain-soaked streets, neon signage, high contrast. | | `ecommerce_ugc` | Bright, clean, phone-shot product-demo framing. | ## Prompting Muse Video follows camera language closely. A prompt that names the shot, the light and one or two materials produces noticeably more controlled results than a stack of adjectives. ``` A corgi surfing at sunset, low-angle tracking shot, backlit spray, shallow depth of field, warm highlights, cinematic slow motion ``` That prompt fixes three things the model would otherwise guess: **framing** (`low-angle tracking shot`), **light** (`backlit spray`, `warm highlights`) and **pace** (`cinematic slow motion`). Materials and subject stay short so nothing competes for attention. Keep prompts under roughly 400 characters for the most reliable prompt adherence; the 4000-character limit exists for structured briefs and multi-shot descriptions. ## Workflow 1. `POST /v1/videos/generations` with the parameters above. 2. Read `data.task_id` from the response. 3. Poll `GET /v1/videos/status/{task_id}` every few seconds until `status` is `completed`. 4. Download from `data.result`. A 5-second clip typically returns in one to three minutes; 60-second clips can take considerably longer. Poll until the task reaches a terminal state rather than assuming a fixed wait. ```bash theme={null} curl https://api.apipod.ai/v1/videos/generations \ -H "Authorization: Bearer $APIPOD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "muse-video-t2v", "prompt": "A corgi surfing at sunset, low-angle tracking shot, backlit spray, cinematic slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic" }' ``` ## Cost Billing is per output second: `duration × per-second price`. Because text-to-video has no reference media, the charge is fully determined by the `duration` you send — quote it with [`POST /v1/pricing/estimate`](https://docs.apipod.ai/endpoint-conventions) before submitting a batch. ## OpenAPI ````yaml api-reference/openapi/muse-video--muse-video-t2v.yaml POST /v1/videos/generations openapi: 3.1.0 info: title: MU Video Text to Video API version: 1.0.0 description: >- MU Video Text to Video generates clips from a prompt alone, with 5-to-60-second output, five aspect ratios, seven style presets and native voice and sound. In APIPod, the public model ID is muse-video-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: - MU Video Text to Video summary: Create Generation Task description: >- MU Video Text to Video generates clips from a prompt alone, with 5-to-60-second output, five aspect ratios, seven style presets and native voice and sound. In APIPod, the public model ID is muse-video-t2v. It supports text-to-video, accepts text inputs, and returns results through asynchronous video tasks. operationId: create-muse-video-muse-video-t2v requestBody: required: true content: application/json: schema: type: object title: MU Video Text to Video properties: model: type: string title: Model ID description: Public APIPod model ID. const: muse-video-t2v prompt: type: string title: Prompt description: >- Describe the video to generate. Required, up to 4000 characters. minLength: 1 maxLength: 4000 duration: type: integer title: Duration description: Video duration in seconds. enum: - 5 - 10 - 20 - 30 - 40 - 50 - 60 default: 5 aspect_ratio: type: string title: Aspect Ratio description: Aspect ratio of the generated video. enum: - '16:9' - '9:16' - '1:1' - '4:3' - '3:4' default: '16:9' resolution: type: string title: Resolution description: Output resolution. MU Video currently supports 720p only. enum: - 720p default: 720p style_preset: type: string title: Style Preset description: Visual style preset applied to the video. enum: - none - cinematic_realistic - 2d_anime - 3d_xianxia - american_comic - cyberpunk_neon - ecommerce_ugc default: none generate_audio: type: boolean title: Generate Audio description: >- Whether to generate voice and sound. Set to false to mute voices. default: true required: - model - prompt example: model: muse-video-t2v prompt: A corgi surfing at sunset, cinematic, slow motion duration: 10 aspect_ratio: '16:9' style_preset: cinematic_realistic 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": "muse-video-t2v", "prompt": "A corgi surfing at sunset, cinematic, slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic", "generate_audio": true }' - lang: Python label: Python source: |- import os import requests payload = { "model": "muse-video-t2v", "prompt": "A corgi surfing at sunset, cinematic, slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic", "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": "muse-video-t2v", "prompt": "A corgi surfing at sunset, cinematic, slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic", "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": "muse-video-t2v", "prompt": "A corgi surfing at sunset, cinematic, slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic", "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": "muse-video-t2v", "prompt": "A corgi surfing at sunset, cinematic, slow motion", "duration": 10, "aspect_ratio": "16:9", "style_preset": "cinematic_realistic", "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. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.