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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
|
|
| prompt |
string
|
aerial view of futuristic city
|
Input prompt
|
| negative_prompt |
string
|
low quality, bad quality, sketches
|
Negative prompt
|
| use_canny |
boolean
|
False
|
Use Canny detector
|
| width |
integer
|
1024
|
Width of the output
|
| height |
integer
|
1024
|
Height of the output
|
| num_inference_steps |
integer
|
35
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Guidance scale
|
| adapter_conditioning_scale |
number
|
0.9
Max: 2 |
Scale for adapter module
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output
|
| seed |
integer
|
0
|
Random seed
|
| lora_input |
string
|
|
Comma-separated LoRA models
|
| lora_scale |
string
|
|
Comma-separated LoRA scales
|
| sampler |
string
(enum)
|
Euler a
Options: Euler, Euler a, DPM++ 2M Karras, DPM++ 2M SDE Karras, DPM++ Karras SDE, DPM++ Karras |
Sampling method
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}