Enterprise: Image to 3D Endpoint
Overview
The Image to 3D API generates an 3D character from an image.
caution
Make sure you add your s3 details for realtime
server, so you can receive image generated in your bucket.
Images generated without s3 details being added will be delete after 24hours
Request
--request POST 'https://modelslab.com/api/v1/enterprise/3d/image_to_3d' \
Make a POST
request to https://modelslab.com/api/v1/enterprise/3d/image_to_3d endpoint and pass the required parameters as a request body to the endpoint.
Body Attributes
Parameter | Description |
---|---|
key (required) | Your API Key used for request authorization. |
model_id (optional, default="instantmesh" ) | Specifies the model to be used for the 3D generation. |
image (required) | The input image for 3D conversion. |
render (optional, default=false ) | Whether to render a NeRF video of the 3D model. |
foreground_ratio (required, default=0.85 ) | Ratio of the foreground size to the image size. Only used when remove_bg is enabled. |
remove_bg (optional, default=false ) | If true, removes the background from the image. |
resolution (required, default=256 , max=512 ) | Specifies the resolution of the generated 3D model. |
chunk_size (optional, default=8192 , max=12000 ) | Size of chunks used in the process (affects VRAM usage). |
seed (optional, default=0 ) | Random seed for reproducibility. If set to 0, a random seed will be generated. |
temp (optional, default="no" ) | If set to "yes" , the output files will be saved in a temporary directory. |
Example
Body
Body
{
"key": "",
"model_id": "instantmesh",
"image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"seed": 0,
"temp": "no"
}
Request
- JS
- PHP
- NODE
- PYTHON
- JAVA
var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"key": "",
"model_id": "instantmesh",
"image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"seed": 0,
"temp": "no"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://modelslab.com/api/v1/enterprise/3d/image_to_3d", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
<?php
$payload = [
"key"=>"",
"model_id"=>"instantmesh",
"image"=>"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"foreground_ratio"=>0.85,
"remove_bg"=>false,
"resolution"=>256,
"chunk_size"=>8192,
"seed"=>0,
"temp"=>"no"
];
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://modelslab.com/api/v1/enterprise/3d/image_to_3d',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS => json_encode($payload),
CURLOPT_HTTPHEADER => array(
'Content-Type: application/json'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
var request = require('request');
var options = {
'method': 'POST',
'url': 'https://modelslab.com/api/v1/enterprise/3d/image_to_3d',
'headers': {
'Content-Type': 'application/json'
},
body: JSON.stringify({
"key": "",
"init_image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"webhook": null,
"track_id": null
})
};
request(options, function (error, response) {
if (error) throw new Error(error);
console.log(response.body);
});
import requests
import json
url = "https://modelslab.com/api/v1/enterprise/3d/image_to_3d"
payload = json.dumps({
"key": "",
"init_image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"webhook": None,
"track_id": None
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\r\n \"key\" : \"\",\r\n \"init_image\": \"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png\",\r\n \"foreground_ratio\": 0.85,\r\n \"remove_bg\": false,\r\n \"resolution\": 256,\r\n \"chunk_size\": 8192,\r\n \"webhook\": null,\r\n \"track_id\": null\r\n}");
Request request = new Request.Builder()
.url("https://modelslab.com/api/v1/enterprise/3d/image_to_3d")
.method("POST", body)
.addHeader("Content-Type", "application/json")
.addHeader("X-API-Key", "{{token}}")
.build();
Response response = client.newCall(request).execute();
Response
Example Response
{
"status": "success",
"warning": "",
"id": null,
"generationTime": 10.97,
"output": [
"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/out/924a461e-87dd-421a-936a-6d789f283d7e.obj"
],
"proxy_links": [
"https://cdn2.stablediffusionapi.com/out/924a461e-87dd-421a-936a-6d789f283d7e.obj"
],
"nsfw_content_detected": false,
"webhook_status": "",
"meta": {
"chunk_size": 8192,
"file_prefix": "924a461e-87dd-421a-936a-6d789f283d7e",
"foreground_ratio": ".85",
"image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0335d02b-958a-4a7f-b7e4-a5f1e61efbf1-0.png",
"remove_bg": true,
"render": false,
"resolution": 256,
"seed": 294618177,
"temp": "no"
}
}