4K Video generator - WAN 2.2

Transform descriptive prompts into breathtaking 4K cinematic videos effortlessly.


If you're looking for an API, here is a sample code in NodeJS to help you out.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 const axios = require('axios'); const api_key = "YOUR API KEY"; const url = "https://api.segmind.com/workflows/68986576c49c91c2edbba933-v4"; const data = { The_Scene: "the user input string", Resolution: "FHD" // Options: FHD, 2k, 4k }; axios.post(url, data, { headers: { 'x-api-key': api_key, 'Content-Type': 'application/json' } }).then((response) => { console.log(response.data); });
Response
application/json
1 2 3 4 5 { "poll_url": "<base_url>/requests/<some_request_id>", "request_id": "some_request_id", "status": "QUEUED" }

You can poll the above link to get the status and output of your request.

Response
application/json
1 2 3 { "Wan_2.2_Output": "any user input string" }

Attributes


The_Scenestr*

Resolutionstr*
Allowed values: FHD, 2k, 4k

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

4K Cinematic Video Generator powered by Wan 2.2 and Qwen Image

Last Updated 10 Aug 2025

2. About this Pixelflow

This 4K Cinematic Video Generator is an advanced workflow designed to transform simple descriptive prompts into high-res, cinematic-quality videos. Great tool for marketers, content creators, and video editors, this workflow leverages the latest models including Qwen-Image for image generation and Wan 2.2 Image-to-Video for converting images to breathtaking video content. This workflow will help teams accelerate content creation, offering cost-efficient production of visually stunning 4K videos with minimal manual intervention. An important point to note here: Both Wan 2.2 and Qwen Image are open source models.

3. Key Features

  • Text to Image Transformation: To ensure details and controlled first frame, this workflow utilizes Qwen Image model to create images from a text prompt.
  • Image to Video Conversion: Once the image is ready, Wan 2.2 is used to convert images into fluid and realistic cinematic videos.
  • Video Enhancement: Once the video is ready, the final video outputs are upscaled to 4K (or 2k, FHD) using the ESRGAN Video Upscaler, ensuring crystal clear clarity and details.
  • Automated Prompt Generation: We use OpenAI's GPT 4o to convert the scene description to prompts for both image and video creation, ensuring thematic continuity.
  • Intelligent Lighting and Texture: The ESRGAN can be swapped for Topaz Labs Video Upscaler for further improving the video for the final touch, color grading, and detailed textures.

4. Use Cases

This flow is great for generating eye catching content for Social media and Digital marketing campaigns. This flow is also great for movie makers who would to visualize pre-production ideas before working on the actual scene. You could also use this workflow to generate music videos from just a prompt that focuses on artistic first frames.

This flow is not suitable if you are planning to have characters who speak as lip-sync related features aren't avaialble on this model.

Cookie settings

We use cookies to enhance your browsing experience, analyze site traffic, and personalize content. By clicking "Accept all", you consent to our use of cookies.