# Hunyuan Part
{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:
* `tencent/hunyuan-part`
{% endhint %}
{% endcolumn %}
{% column width="33.33333333333334%" %} Try in Playground
{% endcolumn %}
{% endcolumns %}
## Model Overview
The model analyzes a 3D mesh and performs high-fidelity, structure-coherent shape decomposition, splitting the original mesh into multiple parts that can then be used independently in 3D editors, for example for texturing or animation.
## Setup your API Key
If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).
## API Schema
## POST /v1/images/generations
>
```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/images/generations":{"post":{"operationId":"_v1_images_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["tencent/hunyuan-part"]},"mesh_url":{"type":"string","format":"uri","description":"URL of the 3D model file (.glb or .obj) to process for segmentation."},"point_prompt_x":{"type":"number","minimum":-1,"maximum":1,"description":"X coordinate of the point prompt for segmentation."},"point_prompt_y":{"type":"number","minimum":-1,"maximum":1,"description":"Y coordinate of the point prompt for segmentation."},"point_prompt_z":{"type":"number","minimum":-1,"maximum":1,"description":"Z coordinate of the point prompt for segmentation."},"point_num":{"type":"integer","default":100000,"description":"Number of points to sample from the mesh."},"use_normal":{"type":"boolean","default":true,"description":"Whether to use normal information for segmentation."},"noise_std":{"type":"number","description":"Standard deviation of noise to add to sampled points."},"seed":{"type":"integer","minimum":1,"description":"The same seed and the same prompt given to the same version of the model will output the same image every time."}},"required":["model","mesh_url"],"title":"tencent/hunyuan-part"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"data":{"type":"array","nullable":true,"items":{"type":"object","properties":{"url":{"type":"string","nullable":true,"description":"The URL where the file can be downloaded from."},"b64_json":{"type":"string","nullable":true,"description":"The base64-encoded JSON of the generated image."}}},"description":"The list of generated images."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}}}}}}}}}}}
```
## Quick Example
Let's generate an image using a simple prompt.
{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}
```python
import requests
import json
def main():
response = requests.post(
"https://api.aimlapi.com/v1/images/generations",
headers={
# Insert your AIML API Key instead of :
"Authorization": "Bearer d09bc3015a66486e9bd4e6d1942934e1",
"Content-Type": "application/json",
},
json={
"model": "tencent/hunyuan-part",
"mesh_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb",
},
)
response.raise_for_status()
data = response.json()
data = response.json()
print(json.dumps(data, indent=2, ensure_ascii=False))
if __name__ == "__main__":
main()
```
{% endcode %}
{% endtab %}
{% tab title="JS" %}
{% code overflow="wrap" %}
```javascript
async function main() {
const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
method: 'POST',
headers: {
// Insert your AIML API Key instead of :
'Authorization': 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'tencent/hunyuan-part',
mesh_url: 'https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb',
}),
});
const data = await response.json();
console.log(data);
}
main();
```
{% endcode %}
{% endtab %}
{% endtabs %}
Response
{% code overflow="wrap" %}
```json5
{
"segmented_mesh": {
"url": "https://cdn.aimlapi.com/flamingo/files/b/0a8a7d7b/gG3-a4ScI4yBswdMQ8CYQ_segmented.glb",
"content_type": "application/octet-stream",
"file_name": "segmented.glb",
"file_size": 1600920
},
"mask_1_mesh": {
"url": "https://cdn.aimlapi.com/flamingo/files/b/0a8a7d7b/Csp8ZOZQsxpaOtDrvbe2G_mask_1.glb",
"content_type": "application/octet-stream",
"file_name": "mask_1.glb",
"file_size": 1600912
},
"mask_2_mesh": {
"url": "https://cdn.aimlapi.com/flamingo/files/b/0a8a7d7b/fStkD-Pq6RZrlooYcZ34__mask_2.glb",
"content_type": "application/octet-stream",
"file_name": "mask_2.glb",
"file_size": 1600920
},
"mask_3_mesh": {
"url": "https://cdn.aimlapi.com/flamingo/files/b/0a8a7d7b/YVHy9A0XgUMehoLCA7z5o_mask_3.glb",
"content_type": "application/octet-stream",
"file_name": "mask_3.glb",
"file_size": 1600920
},
"best_mask_index": 2,
"iou_scores": [
0.49007099866867065,
0.5047933459281921,
0.4866638779640198
],
"seed": 3285486654,
"requestId": "74e75e9a-7965-4348-a84d-d8663b0906dd",
"meta": {
"usage": {
"credits_used": 84000
}
}
}
```
{% endcode %}
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.aimlapi.com/api-references/3d-generating-models/tencent/hunyuan-part.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.