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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 |
|---|---|---|---|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| prompt |
string
|
aerial view, a futuristic research complex in a bright foggy jungle, hard lighting
|
Input prompt
|
| negative_prompt |
string
|
low quality, bad quality, sketches
|
Input Negative Prompt
|
| num_inference_steps |
integer
|
35
Min: 1 Max: 500 |
Number of denoising steps
|
| condition_scale |
number
|
0.97
Max: 1 |
ControlNet conditioning scale
|
| guidance_scale |
number
|
7.5
Max: 20 |
Guidance scale for prompt adherence
|
| width |
integer
|
1024
Min: 512 Max: 2048 |
Width of output image
|
| height |
integer
|
1024
Min: 512 Max: 2048 |
Height of output image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of output images
|
| sampler |
string
(enum)
|
Euler a
Options: Euler, Euler a, DPM++ 2M Karras, DPM++ 2M SDE Karras, DPM++ Karras SDE, DPM++ Karras |
Sampling method
|
| preprocess_method |
string
(enum)
|
Canny
Options: Canny, Laplacian, Sobel |
Edge detection method
|
| seed |
integer
|
0
|
Random seed. Set to 0 to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}