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tencent /hunyuan3d-2mv:71798fbc
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| front_image |
string
|
Front view image
|
|
| back_image |
string
|
Back view image
|
|
| left_image |
string
|
Left view image
|
|
| right_image |
string
|
Right view image
|
|
| steps |
integer
|
30
Min: 1 Max: 100 |
Number of inference steps
|
| guidance_scale |
number
|
5
|
Guidance scale
|
| seed |
integer
|
1234
|
Random seed
|
| octree_resolution |
integer
|
256
Min: 16 Max: 512 |
Octree resolution
|
| remove_background |
boolean
|
True
|
Remove image background
|
| num_chunks |
integer
|
200000
Min: 1000 Max: 5000000 |
Number of chunks
|
| randomize_seed |
boolean
|
True
|
Randomize seed
|
| target_face_num |
integer
|
10000
Min: 100 Max: 1000000 |
Target number of faces for mesh simplification
|
| file_type |
string
(enum)
|
glb
Options: glb, obj, ply, stl |
Output file type
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}