Text to 3D Endpoint
Overview
This endpoint generates an 3d object from a text prompt.
Request
--request POST 'https://modelslab.com/api/v6/3d/text_to_3d' \
Make a POST
request to https://modelslab.com/api/v6/3d/text_to_3d endpoint and pass the required parameters as a request body.
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. |
prompt (required, default="A full body mesh of a dog" ) | Text prompt for generating the 3D model. |
render (optional, default=false ) | Whether to render a NeRF video of the 3D model. |
negative_prompt (optional, default="" ) | Negative prompt to exclude certain elements. |
guidance_scale (required, default=0.0 ) | Controls the guidance between the prompt and the generated model. |
num_inference_steps (required, default=10 ) | The number of inference steps to generate 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 generated 3D model. |
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",
"prompt": "A full body mesh of a dog",
"negative_prompt": "",
"guidance_scale": 0.0,
"num_inference_steps": 10,
"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",
"prompt": "A full body mesh of a dog",
"negative_prompt": "",
"guidance_scale": 0.0,
"num_inference_steps": 10,
"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/v6/3d/text_to_3d", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
<?php
$payload = [
"key"=>"",
"model_id"=>"instantmesh",
"prompt"=>"A full body mesh of a dog",
"negative_prompt"=>"",
"guidance_scale"=>0.0,
"num_inference_steps"=>10,
"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/v6/3d/text_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/v6/3d/text_to_3d',
'headers': {
'Content-Type': 'application/json'
},
body: JSON.stringify({
"key": "",
"model_id": "instantmesh",
"prompt": "A full body mesh of a dog",
"negative_prompt": "",
"guidance_scale": 0.0,
"num_inference_steps": 10,
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"seed": 0,
"temp": "no"
})
};
request(options, function (error, response) {
if (error) throw new Error(error);
console.log(response.body);
});
import requests
import json
url = "https://modelslab.com/api/v6/3d/text_to_3d"
payload = json.dumps({
"key": "",
"model_id": "instantmesh",
"prompt": "A full body mesh of a dog",
"negative_prompt": "",
"guidance_scale": 0.0,
"num_inference_steps": 10,
"foreground_ratio": 0.85,
"remove_bg": false,
"resolution": 256,
"chunk_size": 8192,
"seed": 0,
"temp": "no"
})
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, "{\n \"key\": \"\",\n \"model_id\": \"instantmesh\",\n \"prompt\": \"A full body mesh of a dog\",\n \"negative_prompt\": \"\",\n \"guidance_scale\": 0.0,\n \"num_inference_steps\": 10,\n \"foreground_ratio\": 0.85,\n \"remove_bg\": false,\n \"resolution\": 256,\n \"chunk_size\": 8192,\n \"seed\": 0,\n \"temp\": \"no\"\n}");
Request request = new Request.Builder()
.url("https://modelslab.com/api/v6/3d/text_to_3d")
.method("POST", body)
.addHeader("Content-Type", "application/json")
.build();
Response response = client.newCall(request).execute();
Response
{
"status": "success",
"generationTime": 15.47,
"id": 109657557,
"output": [
"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/out/ba5dd616-eb74-482c-8ee8-f8046687a8f3.obj"
],
"proxy_links": [
"https://cdn2.stablediffusionapi.com/out/ba5dd616-eb74-482c-8ee8-f8046687a8f3.obj"
],
"meta": {
"chunk_size": 8192,
"file_prefix": "ba5dd616-eb74-482c-8ee8-f8046687a8f3",
"foreground_ratio": ".85",
"guidance_scale": 10,
"negative_prompt": "low quality",
"num_inference_steps": 10,
"prompt": "human face",
"remove_bg": true,
"render": false,
"resolution": 256,
"seed": 3815040680,
"temp": "no"
}
}