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fire /trellis:eaecbbba

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
image
string
Input image to generate 3D asset from
seed
integer
0
Random seed for generation
randomize_seed
boolean
True
Randomize seed
generate_color
boolean
True
Generate color video render
generate_normal
boolean
False
Generate normal video render
generate_model
boolean
False
Generate 3D model file (GLB)
ss_guidance_strength
number
7.5

Max: 10

Stage 1: Sparse Structure Generation - Guidance Strength
ss_sampling_steps
integer
12

Min: 1

Max: 50

Stage 1: Sparse Structure Generation - Sampling Steps
slat_guidance_strength
number
3

Max: 10

Stage 2: Structured Latent Generation - Guidance Strength
slat_sampling_steps
integer
12

Min: 1

Max: 50

Stage 2: Structured Latent Generation - Sampling Steps
mesh_simplify
number
0

Max: 0.98

GLB Extraction - Mesh Simplification (only used if generate_model=True)
texture_size
integer
2048

Min: 512

Max: 2048

GLB Extraction - Texture Size (only used if generate_model=True)

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'properties': {'color_video': {'format': 'uri',
                                'title': 'Color Video',
                                'type': 'string'},
                'combined_video': {'format': 'uri',
                                   'title': 'Combined Video',
                                   'type': 'string'},
                'model_file': {'format': 'uri',
                               'title': 'Model File',
                               'type': 'string'},
                'no_background_image': {'format': 'uri',
                                        'title': 'No Background Image',
                                        'type': 'string'},
                'normal_video': {'format': 'uri',
                                 'title': 'Normal Video',
                                 'type': 'string'}},
 'title': 'PredictOutput',
 'type': 'object'}