sullyo
/
udon-v5
- Public
- 42 runs
Run sullyo/udon-v5 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
|
sks dog
|
Input prompt
|
| negative_prompt |
string
|
Negative prompt
|
|
| 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. If the NSFW filter is triggered, you may get fewer outputs than this.
|
| 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)
|
K-LMS
Options: DDIM, K-LMS, PNDM |
Choose a scheduler. If you use an init image, PNDM will be used
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 8,
"description": "Random seed. Leave blank to randomize the seed"
},
"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": 2
},
"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": 3
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "sks dog",
"x-order": 0,
"description": "Input prompt"
},
"scheduler": {
"enum": [
"DDIM",
"K-LMS",
"PNDM"
],
"type": "string",
"title": "scheduler",
"description": "Choose a scheduler. If you use an init image, PNDM will be used",
"default": "K-LMS",
"x-order": 7
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 10,
"minimum": 1,
"x-order": 4,
"description": "Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this."
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 6,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"x-order": 1,
"description": "Negative prompt"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 50,
"maximum": 500,
"minimum": 1,
"x-order": 5,
"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"
}