joshelgar
/
rssmrry
- Public
- 172 runs
Run joshelgar/rssmrry 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 to infer.
|
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| num_inference_steps |
integer
|
Number of inference steps.
|
|
| width |
integer
|
512
|
Width of generated image.
|
| height |
integer
|
512
|
Height of generated image.
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"required": [
"prompt",
"num_inference_steps"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 6,
"description": "Random seed. Leave blank to randomize the seed"
},
"width": {
"type": "integer",
"title": "Width",
"default": 512,
"x-order": 4,
"description": "Width of generated image."
},
"height": {
"type": "integer",
"title": "Height",
"default": 512,
"x-order": 5,
"description": "Height of generated image."
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt to infer."
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7.5,
"maximum": 20,
"minimum": 1,
"x-order": 2,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"x-order": 1,
"description": "Specify things to not see in the output"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"x-order": 3,
"description": "Number of inference 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"
}