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anotherjesse /control-paul:02ed5795
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 for the model
|
|
| controlnet_1 |
string
(enum)
|
Options: canny, depth, normal, hed, scribble, hough, seg, pose, qr |
Structure of controlnet
|
| controlnet_1_image |
string
|
Control image for controlnet
|
|
| controlnet_1_conditioning_scale |
number
|
override scale for controlnet
|
|
| controlnet_2 |
string
(enum)
|
Options: canny, depth, normal, hed, scribble, hough, seg, pose, qr |
Structure of controlnet
|
| controlnet_2_image |
string
|
Control image for controlnet
|
|
| controlnet_2_conditioning_scale |
number
|
override scale for controlnet
|
|
| controlnet_3 |
string
(enum)
|
Options: canny, depth, normal, hed, scribble, hough, seg, pose, qr |
Structure of controlnet
|
| controlnet_3_image |
string
|
Control image for controlnet
|
|
| controlnet_3_conditioning_scale |
number
|
override scale for controlnet
|
|
| controlnet_4 |
string
(enum)
|
Options: canny, depth, normal, hed, scribble, hough, seg, pose, qr |
Structure of controlnet
|
| controlnet_4_image |
string
|
Control image for controlnet
|
|
| controlnet_4_conditioning_scale |
number
|
override scale for controlnet
|
|
| num_outputs |
integer
|
1
Min: 1 Max: 10 |
Number of images to generate
|
| image_resolution |
integer
(enum)
|
512
Options: 256, 512, 768 |
Resolution of image (smallest dimension)
|
| scheduler |
string
(enum)
|
DDIM
Options: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep |
Choose a scheduler.
|
| num_inference_steps |
integer
|
20
|
Steps to run denoising
|
| guidance_scale |
number
|
9
Min: 0.1 Max: 30 |
Scale for classifier-free guidance
|
| seed |
integer
|
Seed
|
|
| eta |
number
|
0
|
Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
|
| negative_prompt |
string
|
Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
|
Negative prompt
|
| low_threshold |
integer
|
100
Min: 1 Max: 255 |
[canny only] Line detection low threshold`
|
| high_threshold |
integer
|
200
Min: 1 Max: 255 |
[canny only] Line detection high threshold
|
| guess_mode |
boolean
|
False
|
In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
|
| disable_safety_check |
boolean
|
False
|
Disable safety check. Use at your own risk!
|
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'}