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cottom /xsd_12kdsd:c4519290
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
|
|
Prompt to generate from
|
| negative_prompt |
string
|
|
Prompt to generate from
|
| image |
string
|
Grayscale input image
|
|
| image_style_reference |
string
|
Grayscale input image
|
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
scheduler
|
| detect_resolution |
integer
|
512
Min: 128 Max: 4096 |
Resolution at which detection method will be applied)
|
| image_resolution |
integer
|
1024
Min: 128 Max: 4096 |
Resolution at which image will be applied)
|
| num_inference_steps |
integer
|
30
Min: 1 Max: 100 |
Number of inference steps
|
| guidance_scale |
number
|
2
Max: 10 |
controlnet conditioning scale for generalization
|
| num_images_per_prompt |
integer
|
1
Min: 1 Max: 9 |
Number of image per prompt
|
| condition_scale |
number
|
0.5
Max: 1 |
controlnet conditioning scale for generalization
|
| enable_depth_ctr |
boolean
|
True
|
enable depth control
|
| enable_sketch_ctr |
boolean
|
True
|
enable sketch control
|
| dry_run |
boolean
|
False
|
dry run
|
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'}