zf-kbot/tattoo-generator
Run zf-kbot/tattoo-generator 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
|
Input prompt
|
|
| image |
string
|
Input Image
|
|
| strength |
number
|
0.5
Max: 1 |
The Weight of Image
|
| width |
integer
|
1024
|
Width of text-to-image output image
|
| height |
integer
|
1024
|
Height of text-to-image output image
|
| negative_prompt |
string
|
|
Input Negative Prompt
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of Images to Output.
|
| num_inference_steps |
integer
|
20
Min: 1 Max: 100 |
Number of denoising steps
|
| guidance_scale |
number
|
7
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| seed |
integer
|
0
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"default": 0,
"x-order": 9,
"description": "Random seed. Leave blank to randomize the seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 1,
"description": "Input Image"
},
"width": {
"type": "integer",
"title": "Width",
"default": 1024,
"x-order": 3,
"description": "Width of text-to-image output image"
},
"height": {
"type": "integer",
"title": "Height",
"default": 1024,
"x-order": 4,
"description": "Height of text-to-image output image"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Input prompt"
},
"strength": {
"type": "number",
"title": "Strength",
"default": 0.5,
"maximum": 1,
"minimum": 0,
"x-order": 2,
"description": "The Weight of Image"
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 6,
"description": "Number of Images to Output."
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 7,
"maximum": 20,
"minimum": 1,
"x-order": 8,
"description": "Scale for classifier-free guidance"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "",
"x-order": 5,
"description": "Input Negative Prompt"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 20,
"maximum": 100,
"minimum": 1,
"x-order": 7,
"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"
}