expa-ai
/
tile-upscale
- Public
- 1 run
Run expa-ai/tile-upscale 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 |
---|---|---|---|
prompt |
string
|
Prompt for the model
|
|
image |
string
|
Image for scribble controlnet
|
|
ctrl_image |
string
|
Control image for scribble controlnet
|
|
resolution |
integer
(enum)
|
2048
Options: 2048, 2560 |
Image resolution
|
resemblance |
number
|
0.5
Max: 1 |
Conditioning scale for controlnet
|
creativity |
number
|
0.5
Max: 1 |
Denoising strength. 1 means total destruction of the original image
|
hdr |
number
|
0
Max: 1 |
HDR improvement over the original image
|
scheduler |
string
(enum)
|
DDIM
Options: DDIM, DPMSolverMultistep, K_EULER_ANCESTRAL, K_EULER |
Choose a scheduler.
|
steps |
integer
|
20
|
Steps
|
guidance_scale |
number
|
7
Min: 0.1 Max: 30 |
Scale for classifier-free guidance
|
seed |
integer
|
Seed
|
|
negative_prompt |
string
|
teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant
|
Negative prompt
|
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.
|
{
"type": "object",
"title": "Input",
"properties": {
"hdr": {
"type": "number",
"title": "Hdr",
"default": 0,
"maximum": 1,
"minimum": 0,
"x-order": 6,
"description": "HDR improvement over the original image"
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 10,
"description": "Seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 1,
"description": "Image for scribble controlnet"
},
"steps": {
"type": "integer",
"title": "Steps",
"default": 20,
"x-order": 8,
"description": "Steps"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for the model"
},
"scheduler": {
"enum": [
"DDIM",
"DPMSolverMultistep",
"K_EULER_ANCESTRAL",
"K_EULER"
],
"type": "string",
"title": "scheduler",
"description": "Choose a scheduler.",
"default": "DDIM",
"x-order": 7
},
"creativity": {
"type": "number",
"title": "Creativity",
"default": 0.5,
"maximum": 1,
"minimum": 0,
"x-order": 5,
"description": "Denoising strength. 1 means total destruction of the original image"
},
"ctrl_image": {
"type": "string",
"title": "Ctrl Image",
"format": "uri",
"x-order": 2,
"description": "Control image for scribble controlnet"
},
"guess_mode": {
"type": "boolean",
"title": "Guess Mode",
"default": false,
"x-order": 12,
"description": "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."
},
"resolution": {
"enum": [
2048,
2560
],
"type": "integer",
"title": "resolution",
"description": "Image resolution",
"default": 2048,
"x-order": 3
},
"resemblance": {
"type": "number",
"title": "Resemblance",
"default": 0.5,
"maximum": 1,
"minimum": 0,
"x-order": 4,
"description": "Conditioning scale for controlnet"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7,
"maximum": 30,
"minimum": 0.1,
"x-order": 9,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
"x-order": 11,
"description": "Negative prompt"
}
}
}
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"
}