anotherjesse
/
controlnet-tile-test
- Public
- 4.7K runs
Run anotherjesse/controlnet-tile-test 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 tile
|
|
| controlnet_conditioning_scale |
number
|
1
|
Scale of conditioning for controlnet
|
| prompt |
string
|
photo of cjw person
|
Input prompt
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| strength |
number
|
1
Max: 1 |
Strength
|
| resolution |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Resolution of output image
|
| 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
|
| scheduler |
string
(enum)
|
KerrasDPM
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KerrasDPM, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep |
Choose a scheduler.
|
| disable_safety_check |
boolean
|
False
|
Disable safety check. Use at your own risk!
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 11,
"description": "Random seed. Leave blank to randomize the seed"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "photo of cjw person",
"x-order": 2,
"description": "Input prompt"
},
"strength": {
"type": "number",
"title": "Strength",
"default": 1,
"maximum": 1,
"minimum": 0,
"x-order": 4,
"description": "Strength"
},
"scheduler": {
"enum": [
"DDIM",
"DPMSolverMultistep",
"HeunDiscrete",
"KerrasDPM",
"K_EULER_ANCESTRAL",
"K_EULER",
"KLMS",
"PNDM",
"UniPCMultistep"
],
"type": "string",
"title": "scheduler",
"description": "Choose a scheduler.",
"default": "KerrasDPM",
"x-order": 9
},
"resolution": {
"enum": [
128,
256,
384,
448,
512,
576,
640,
704,
768,
832,
896,
960,
1024
],
"type": "integer",
"title": "resolution",
"description": "Resolution of output image",
"default": 512,
"x-order": 5
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 10,
"minimum": 1,
"x-order": 6,
"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 tile"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 8,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"x-order": 3,
"description": "Specify things to not see in the output"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 500,
"minimum": 1,
"x-order": 7,
"description": "Number of denoising steps"
},
"disable_safety_check": {
"type": "boolean",
"title": "Disable Safety Check",
"default": false,
"x-order": 10,
"description": "Disable safety check. Use at your own risk!"
},
"controlnet_conditioning_scale": {
"type": "number",
"title": "Controlnet Conditioning Scale",
"default": 1,
"x-order": 1,
"description": "Scale of conditioning for controlnet"
}
}
}
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"
}