anotherjesse
/
controlnet-1.5-scribble-template
Template Version for use with Dreambooth API of ControlNet Scribble
- Public
- 3 runs
Run anotherjesse/controlnet-1.5-scribble-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 scribble
|
|
| 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
|
| scheduler |
string
(enum)
|
DPMSolverMultistep
Options: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep |
Choose a scheduler.
|
| 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": 12,
"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": 11
},
"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 scribble"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 9,
"description": "Scale for classifier-free guidance"
},
"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"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output",
"x-cog-array-type": "iterator"
}