pandas9
/
big
big sdxl checkpoint merge
- Public
- 1.9K runs
Run pandas9/big 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
|
|
None
|
| negative_prompt |
string
|
|
Things you do not want to see in your image
|
| aspect_ratio |
string
(enum)
|
1:1
Options: 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21 |
Aspect ratio for the generated image
|
| guidance_scale |
number
|
7
Min: 0.1 Max: 10 |
Guidance for the generated image
|
| num_inference_steps |
number
|
50
Min: 1 Max: 100 |
Number of inference steps
|
| denoise |
number
|
1
Max: 1 |
Denoise for the generated image
|
| high_num_inference_steps |
number
|
50
Min: 1 Max: 100 |
Number of inference steps for the high salary
|
| high_denoise |
number
|
0.4
Max: 1 |
Denoise for the high salary
|
| output_format |
string
(enum)
|
webp
Options: webp, jpg, png |
Format of the output images
|
| output_quality |
integer
|
95
Max: 100 |
Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
|
| seed |
integer
|
Set a seed for reproducibility. Random by default.
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 10,
"description": "Set a seed for reproducibility. Random by default."
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "",
"x-order": 0
},
"denoise": {
"type": "number",
"title": "Denoise",
"default": 1,
"maximum": 1,
"minimum": 0,
"x-order": 5,
"description": "Denoise for the generated image"
},
"aspect_ratio": {
"enum": [
"1:1",
"16:9",
"21:9",
"3:2",
"2:3",
"4:5",
"5:4",
"3:4",
"4:3",
"9:16",
"9:21"
],
"type": "string",
"title": "aspect_ratio",
"description": "Aspect ratio for the generated image",
"default": "1:1",
"x-order": 2
},
"high_denoise": {
"type": "number",
"title": "High Denoise",
"default": 0.4,
"maximum": 1,
"minimum": 0,
"x-order": 7,
"description": "Denoise for the high salary"
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "Format of the output images",
"default": "webp",
"x-order": 8
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7,
"maximum": 10,
"minimum": 0.1,
"x-order": 3,
"description": "Guidance for the generated image"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 95,
"maximum": 100,
"minimum": 0,
"x-order": 9,
"description": "Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality."
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "",
"x-order": 1,
"description": "Things you do not want to see in your image"
},
"num_inference_steps": {
"type": "number",
"title": "Num Inference Steps",
"default": 50,
"maximum": 100,
"minimum": 1,
"x-order": 4,
"description": "Number of inference steps"
},
"high_num_inference_steps": {
"type": "number",
"title": "High Num Inference Steps",
"default": 50,
"maximum": 100,
"minimum": 1,
"x-order": 6,
"description": "Number of inference steps for the high salary"
}
}
}
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"
}