POST
javascript
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 const axios = require('axios'); const api_key = "YOUR API-KEY"; const url = "https://api.segmind.com/v1/idm-vton"; const data = { "crop": false, "seed": 42, "steps": 30, "category": "upper_body", "force_dc": false, "human_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/idm-ip.png", "garm_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/idm-viton-dress.png", "mask_only": false, "garment_des": "Green colour semi Formal Blazer" }; (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


cropbool ( default: 1 )

Use cropping? (check this if your image is not 3:4)


seedint ( default: 42 )


stepsint ( default: 30 )

min : 1,

max : 40


categoryenum:str ( default: upper_body )

An enumeration.

Allowed values:


force_dcbool ( default: 1 )

Use the DressCode version of IDM-VTON (this is default false, except if category=dresses)


human_imgstr *

Model, if this is not 3:4 check crop


garm_imgstr *

Garment, should match the category, can be a product image or even a photo of someone


mask_imgstr ( default: 1 )

Mask image, optional (but faster)


mask_onlybool ( default: 1 )

Return only the mask


garment_desstr ( default: Green colour semi Formal Blazer )

Description of garment e.g. Short Sleeve Round Neck T-shirt

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.

IDM Viton

IDM Viton is cutting-edge solution for authentic virtual try-on experiences. It can handle a wide variety of garments and adapt to different body types, ensuring a seamless and inclusive virtual try-on session.

IDM Viton is currently considered the best-in-class virtual try-on model, utilizes an innovative two-stream conditional diffusion model. It uses two different modules to encode the semantics of garment image. Given the base UNet of the diffusion model, the high-level semantics extracted from a visual encoder are fused to the cross-attention layer, and then the low-level features extracted from parallel UNet are fused to the self-attention layer. This approach allows IDM-VTON to provide highly realistic and authentic virtual try-on experiences.

lDM VTON License

The IDM VTON model is licensed under the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International Public License. This license allows for the free use, modification, and distribution of the software for non-commercial purposes only, provided that the original copyright notice and disclaimer are included in all copies or substantial portions of the software. However, it does not permit the sharing of adapted material. The license also does not permit the use of the name of the license holder or the names of its contributors to endorse or promote products derived from this software without specific prior written permission. Furthermore, the license is irrevocable, meaning once granted, it cannot be taken back.