0x101/n001_3
Public
3.2K
runs
Run 0x101/n001_3 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
|
explain the image
|
|
| init_image |
string
|
source image
|
|
| strength |
number
|
0.8
Max: 1 |
i2i strength
|
| negative_prompt |
string
|
ugly, blurry, poor quality
|
negative strings
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 200 |
how to many steps
|
| true_cfg_scale |
number
|
4
Min: 1 Max: 20 |
guidance scale
|
| aspect_ratio |
None
|
1:1
|
ratio of output image
|
| width |
integer
|
width of output image
|
|
| height |
integer
|
height of output image
|
|
| lora |
string
|
lora
|
|
| lora_scale |
number
|
1
|
lora scale
|
| seed |
integer
|
-1
|
seed
|
| ka_token |
string
|
|
KA token.
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"lora": {
"type": "string",
"title": "Lora",
"x-order": 9,
"description": "lora"
},
"seed": {
"type": "integer",
"title": "Seed",
"default": -1,
"x-order": 11,
"description": "seed"
},
"width": {
"type": "integer",
"title": "Width",
"x-order": 7,
"description": "width of output image"
},
"height": {
"type": "integer",
"title": "Height",
"x-order": 8,
"description": "height of output image"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "explain the image"
},
"ka_token": {
"type": "string",
"title": "Ka Token",
"default": "",
"x-order": 12,
"description": "KA token."
},
"strength": {
"type": "number",
"title": "Strength",
"default": 0.8,
"maximum": 1,
"minimum": 0,
"x-order": 2,
"description": "i2i strength"
},
"init_image": {
"type": "string",
"title": "Init Image",
"format": "uri",
"x-order": 1,
"description": "source image"
},
"lora_scale": {
"type": "number",
"title": "Lora Scale",
"default": 1,
"x-order": 10,
"description": "lora scale"
},
"aspect_ratio": {
"enum": [
"1:1",
"16:9",
"9:16",
"4:3",
"3:4",
"3:2",
"2:3",
"original"
],
"type": "string",
"title": "aspect_ratio",
"description": "ratio of output image",
"default": "1:1",
"x-order": 6
},
"true_cfg_scale": {
"type": "number",
"title": "True Cfg Scale",
"default": 4,
"maximum": 20,
"minimum": 1,
"x-order": 5,
"description": "guidance scale"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "ugly, blurry, poor quality",
"x-order": 3,
"description": "negative strings"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 200,
"minimum": 1,
"x-order": 4,
"description": "how to many steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}