catio-apps
/
catio-photoaistudio-generate-pro
https://api.catioapps.com. Take a picture of your face and instantly get any profile picture you want. Only 1 photo, no training needed.
- Public
- 79 runs
- License
Run catio-apps/catio-photoaistudio-generate-pro 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 |
|---|---|---|---|
| num_samples |
integer
|
1
Min: 1 Max: 4 |
num_samples
|
| pose_image |
string
|
Pose image
|
|
| face_image |
string
|
Face image
|
|
| face_resemblance |
number
|
0.4
Max: 0.8 |
Face Conditioning Scale (0 - 1)
|
| prompt |
string
|
a portrait of a [MODEL] with a suit and a tie
|
None
|
| n_prompt |
string
|
|
None
|
| steps |
integer
|
20
Max: 50 |
num_inference_steps
|
| width |
integer
|
768
|
Width
|
| seed |
integer
|
0
Max: 4294967295 |
Seed (0 = random, maximum: 4294967295)
|
| api_key |
string
|
Personal api key
|
{
"type": "object",
"title": "Input",
"required": [
"pose_image",
"face_image",
"api_key"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"default": 0,
"maximum": 4294967295,
"minimum": 0,
"x-order": 8,
"description": "Seed (0 = random, maximum: 4294967295)"
},
"steps": {
"type": "integer",
"title": "Steps",
"default": 20,
"maximum": 50,
"minimum": 0,
"x-order": 6,
"description": " num_inference_steps"
},
"width": {
"type": "integer",
"title": "Width",
"default": 768,
"x-order": 7,
"description": "Width"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "a portrait of a [MODEL] with a suit and a tie",
"x-order": 4
},
"api_key": {
"type": "string",
"title": "Api Key",
"x-order": 9,
"description": "Personal api key"
},
"n_prompt": {
"type": "string",
"title": "N Prompt",
"default": "",
"x-order": 5
},
"face_image": {
"type": "string",
"title": "Face Image",
"format": "uri",
"x-order": 2,
"description": "Face image"
},
"pose_image": {
"type": "string",
"title": "Pose Image",
"format": "uri",
"x-order": 1,
"description": "Pose image"
},
"num_samples": {
"type": "integer",
"title": "Num Samples",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 0,
"description": " num_samples"
},
"face_resemblance": {
"type": "number",
"title": "Face Resemblance",
"default": 0.4,
"maximum": 0.8,
"minimum": 0,
"x-order": 3,
"description": "Face Conditioning Scale (0 - 1)"
}
}
}
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"
}