piyushk52
/
controlnet1.1_canny_template
- Public
- 0 runs
Run piyushk52/controlnet1.1_canny_template with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
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 |
|---|---|---|---|
| control_image |
string
|
Optional Image to use for guidance based on canny
|
|
| image |
string
|
Optional Image to use for img2img guidance
|
|
| mask |
string
|
Optional Mask to use for legacy inpainting
|
|
| prompt |
string
|
photo of cjw person
|
Input prompt
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| width |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| num_outputs |
integer
|
1
Min: 1 Max: 10 |
Number of images to output.
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| prompt_strength |
number
|
0.8
|
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
|
| low_threshold |
integer
|
100
|
Low threshold for canny filter
|
| high_threshold |
integer
|
200
|
High threshold for canny filter
|
| scheduler |
string
(enum)
|
DPMSolverMultistep
Options: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep |
Choose a scheduler.
|
| disable_safety_check |
boolean
|
False
|
Disable safety check. Use at your own risk!
|
| return_processed_control |
boolean
|
False
|
if using control_image, return processed control as first image
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"mask": {
"type": "string",
"title": "Mask",
"format": "uri",
"x-order": 2,
"description": "Optional Mask to use for legacy inpainting"
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 16,
"description": "Random seed. Leave blank to randomize the seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 1,
"description": "Optional Image to use for img2img guidance"
},
"width": {
"enum": [
128,
256,
384,
448,
512,
576,
640,
704,
768,
832,
896,
960,
1024
],
"type": "integer",
"title": "width",
"description": "Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
"default": 512,
"x-order": 5
},
"height": {
"enum": [
128,
256,
384,
448,
512,
576,
640,
704,
768,
832,
896,
960,
1024
],
"type": "integer",
"title": "height",
"description": "Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
"default": 512,
"x-order": 6
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "photo of cjw person",
"x-order": 3,
"description": "Input prompt"
},
"scheduler": {
"enum": [
"DDIM",
"DPMSolverMultistep",
"HeunDiscrete",
"K_EULER_ANCESTRAL",
"K_EULER",
"KLMS",
"PNDM",
"UniPCMultistep"
],
"type": "string",
"title": "scheduler",
"description": "Choose a scheduler.",
"default": "DPMSolverMultistep",
"x-order": 13
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 10,
"minimum": 1,
"x-order": 7,
"description": "Number of images to output."
},
"control_image": {
"type": "string",
"title": "Control Image",
"format": "uri",
"x-order": 0,
"description": "Optional Image to use for guidance based on canny"
},
"low_threshold": {
"type": "integer",
"title": "Low Threshold",
"default": 100,
"x-order": 11,
"description": "Low threshold for canny filter"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 9,
"description": "Scale for classifier-free guidance"
},
"high_threshold": {
"type": "integer",
"title": "High Threshold",
"default": 200,
"x-order": 12,
"description": "High threshold for canny filter"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"x-order": 4,
"description": "Specify things to not see in the output"
},
"prompt_strength": {
"type": "number",
"title": "Prompt Strength",
"default": 0.8,
"x-order": 10,
"description": "Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 500,
"minimum": 1,
"x-order": 8,
"description": "Number of denoising steps"
},
"disable_safety_check": {
"type": "boolean",
"title": "Disable Safety Check",
"default": false,
"x-order": 14,
"description": "Disable safety check. Use at your own risk!"
},
"return_processed_control": {
"type": "boolean",
"title": "Return Processed Control",
"default": false,
"x-order": 15,
"description": "if using control_image, return processed control as first image"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output",
"x-cog-array-type": "iterator"
}