POST
javascript
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 const axios = require('axios'); const api_key = "YOUR API-KEY"; const url = "https://api.segmind.com/v1/esrgan-video-upscaler"; const data = { "crop_to_fit": true, "input_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/video-upscale-input.mp4", "res_model": "RealESRGAN_x4plus", "resolution": "FHD" }; (async function() { try { const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } }); console.log(response.data); } catch (error) { console.error('Error:', error.response.data); } })();
RESPONSE
image/jpeg
HTTP Response Codes
200 - OKImage Generated
401 - UnauthorizedUser authentication failed
404 - Not FoundThe requested URL does not exist
405 - Method Not AllowedThe requested HTTP method is not allowed
406 - Not AcceptableNot enough credits
500 - Server ErrorServer had some issue with processing

Attributes


crop_to_fitbool ( default: true )

Option to crop the video to fit the specified resolution


input_videostr *

File path or URL of the input video


res_modelenum:str ( default: RealESRGAN_x4plus )

Upscaling model used for resolution enhancement

Allowed values:


resolutionenum:str ( default: FHD )

Output resolution for the video

Allowed values:

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.

ESRGAN Video Upscaler: Revolutionizing Video Quality Enhancement

The ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks) video upscaler is a cutting-edge AI model designed to enhance video quality by increasing resolution and reducing artifacts. ESRGAN offers a practical solution for video restoration and upscaling, making it a valuable tool for content creators, filmmakers, and video enthusiasts.ESRGAN is based on a generative adversarial network (GAN) architecture, which consists of a generator and a discriminator. The generator enhances the video resolution, while the discriminator ensures the output is realistic and high-quality.

Key Features of ESRGAN Video Upscaler

  • High-Quality Upscaling: ESRGAN excels in upscaling videos to higher resolutions while preserving intricate details and textures. This results in sharper and more visually appealing videos.

  • Artifact Reduction: The model effectively reduces common video artifacts such as noise, blurriness, and compression artifacts, ensuring a cleaner output.

  • Versatile Applications: From enhancing old home videos to improving the quality of professional footage, ESRGAN is versatile and adaptable to various use cases.

Use Cases

  • Content Creation: Enhance the quality of video content for platforms like YouTube, Vimeo, and social media.

  • Film Restoration: Restore and upscale old films and videos, preserving historical footage with improved clarity.

  • Gaming: Upscale in-game footage for a more immersive and visually stunning experience.