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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 |
|---|---|---|---|
| prompt |
string
|
|
The text prompt that guides image generation
|
| canny_image |
string
|
Preprocessed canny image. Required.
|
|
| depth_image |
string
|
Preprocessed depth image. Required.
|
|
| canny_strength |
number
|
0.6
Max: 2 |
Strength for canny conditionning.
|
| depth_strength |
number
|
0.6
Max: 2 |
Strength for depth conditionning.
|
| guidance_scale |
number
|
3.5
Max: 50 |
Controls how closely the image follows the prompt.
|
| steps |
integer
|
8
Min: 1 Max: 50 |
Number of denoising steps.
|
| seed |
integer
|
Random seed for reproducibility.
|
|
| masked_image |
string
|
Input image for inpainting. Optionnal.
|
|
| mask_image |
string
|
Mask image for inpainting (white pixels will be repainted). Optionnal.
|
|
| fill_strength |
number
|
0.6
Max: 1 |
Strength of inpainting (how much to repaint masked area).
|
| control_guidance_start |
number
|
0
Max: 1 |
Percentage of steps at which conditionning starts applying.
|
| control_guidance_end |
number
|
1
Max: 1 |
Percentage of steps at which conditionning stops applying.
|
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'}