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jagilley /controlnet-seg:f967b165
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
|
Prompt for the model
|
|
| num_samples |
string
(enum)
|
1
Options: 1, 4 |
Number of samples (higher values may OOM)
|
| image_resolution |
string
(enum)
|
512
Options: 256, 512, 768 |
Image resolution to be generated
|
| ddim_steps |
integer
|
20
|
Steps
|
| scale |
number
|
9
Min: 0.1 Max: 30 |
Guidance Scale
|
| seed |
integer
|
Seed
|
|
| eta |
number
|
0
|
eta (DDIM)
|
| a_prompt |
string
|
best quality, extremely detailed
|
Added Prompt
|
| n_prompt |
string
|
longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
|
Negative Prompt
|
| detect_resolution |
integer
|
512
Min: 128 Max: 1024 |
Resolution for detection (only applicable when model type is 'HED' or 'Segmentation')
|
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'}