# pixverse/pixverse-5.5/text-to-video > PixVerse 5.5 transforms text prompts into realistic videos with smooth motion and natural detail in seconds—ideal for stories, ads, and social clips. It offers best performance with no coldstarts and affordable pricing. ## Overview - **Endpoint**: `https://api.shortapi.ai/api/v1/job/create` - **Model ID**: `pixverse/pixverse-5.5/text-to-video` - **Category**: text-to-video - **Kind**: inference ## Pricing The pricing for this model is as follows: for single-clip generation without audio, the price is $0.128 (5s), $0.255 (8s), and $0.281 (10s) at 540p; $0.170 (5s), $0.340 (8s), and $0.374 (10s) at 720p; and $0.340 (5s) and $0.680 (8s) at 1080p. For single-clip generation with audio, the price is $0.170 (5s), $0.340 (8s), and $0.374 (10s) at 540p; $0.213 (5s), $0.425 (8s), and $0.468 (10s) at 720p; and $0.383 (5s) and $0.765 (8s) at 1080p. For multi-clip generation without audio, the price is $0.213 (5s), $0.425 (8s), and $0.468 (10s) at 540p; $0.255 (5s), $0.510 (8s), and $0.561 (10s) at 720p; and $0.425 (5s) and $0.850 (8s) at 1080p. For multi-clip generation with audio, the price is $0.255 (5s), $0.510 (8s), and $0.561 (10s) at 540p; $0.298 (5s), $0.595 (8s), and $0.655 (10s) at 720p; and $0.468 (5s) and $0.935 (8s) at 1080p. For more details, please check our pricing page. ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): Text prompt - Examples: "An action shot of a black lab swimming..." - **`resolution`** (`string`, _optional_): Output video resolution - Default: `720p` - Options: "540p", "720p", "1080p" - **`duration`** (`string`, _optional_): Video Length, unit: s (seconds). 1080p not supported for 10s - Default: `5` - Options: "5", "8", "10" - **`aspect_ratio`** (`string`, _optional_): The aspect ratio of the generated video frame (width:height) - Default: `16:9` - Options: "16:9", "9:16", "4:3", "3:4", "1:1" - **`generate_audio`** (`bool`, _optional_): Whether to generate original audio for the video - Default: `false` - Options: "true", "false" - **`multi_shot`** (`bool`, _optional_): Generate multi_shot video with model-native capabilities - Default: `false` - Options: "true", "false" ### Output Schema The API returns a JSON response with a `job_id` for tracking the request status. **Create Job Response:** ```json { "code": 0, "data": { "amount": "0.02", "job_id": "" } } ``` **Query Job Result (when status is 2, meaning succeeded):** ```json { "code": 0, "data": { "status": 2, "result": { "videos": [{ "url": "https://..." }] } } } ``` ## Use Example To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`. ### Bash (cURL) ```bash # Step 1: Create a job response=$(curl --request POST \ --url https://api.shortapi.ai/api/v1/job/create \ --header "Authorization: Bearer $SHORTAPI_KEY" \ --header "Content-Type: application/json" \ --data '{ "model": "pixverse/pixverse-5.5/text-to-video", "args": { "prompt": "An anime scene: A young woman stands beneath a cherry blossom tree, her long hair gently swaying in the breeze. She wears a light summer dress and holds a book in her hands, smiling as she gazes into the distance. Sunlight filters through the branches, softly illuminating her face. The background is filled with fluttering pink cherry blossoms, creating a warm and dreamy atmosphere. The image has a cinematic feel, with a shallow depth of field and excellent image quality." }, "callback_url": "CALLBACK_URL" }') JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g') # Step 2: Poll for results curl --request GET \ --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \ --header "Authorization: Bearer $SHORTAPI_KEY" ``` ### JavaScript (Fetch API) ```javascript // Step 1: Create a job const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, { method: "POST", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}`, "Content-Type": "application/json" }, body: JSON.stringify({ "model": "pixverse/pixverse-5.5/text-to-video", "args": { "prompt": "An anime scene: A young woman stands beneath a cherry blossom tree, her long hair gently swaying in the breeze. She wears a light summer dress and holds a book in her hands, smiling as she gazes into the distance. Sunlight filters through the branches, softly illuminating her face. The background is filled with fluttering pink cherry blossoms, creating a warm and dreamy atmosphere. The image has a cinematic feel, with a shallow depth of field and excellent image quality." }, "callback_url": "CALLBACK_URL" }) }); const data = await response.json(); const JOB_ID = data.job_id; // Step 2: Poll for results const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, { method: "GET", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}` } }); const resultData = await result.json(); console.log(resultData); ``` ### Python (Requests) ```python import requests # Step 1: Create a job url = "https://api.shortapi.ai/api/v1/job/create" payload = { "model": "pixverse/pixverse-5.5/text-to-video", "args": { "prompt": "An anime scene: A young woman stands beneath a cherry blossom tree, her long hair gently swaying in the breeze. She wears a light summer dress and holds a book in her hands, smiling as she gazes into the distance. Sunlight filters through the branches, softly illuminating her face. The background is filled with fluttering pink cherry blossoms, creating a warm and dreamy atmosphere. The image has a cinematic feel, with a shallow depth of field and excellent image quality." }, "callback_url": "CALLBACK_URL" } headers = { "Authorization": f"Bearer {SHORTAPI_KEY}", "Content-Type": "application/json" } response = requests.post(url, headers=headers, json=payload) data = response.json() JOB_ID = data.get("job_id") # Step 2: Poll for results result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}" result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"}) print(result.json()) ```