garg-aayush
/
jasper-flux-dev-controlnet
- Public
- 7 runs
Run garg-aayush/jasper-flux-dev-controlnet 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 |
|---|---|---|---|
| image |
string
|
Input image
|
|
| scale_factor |
number
|
4
Min: 1 Max: 5 |
Scale factor for image upscaling
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of denoising steps
|
| controlnet_conditioning_scale |
number
|
0.6
Min: 0.1 Max: 1.5 |
Scale for controlnet conditioning
|
| guidance_scale |
number
|
3.5
Min: 0.5 Max: 5 |
Scale for classifier-free guidance
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"required": [
"image"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 5,
"description": "Random seed. Leave blank to randomize the seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Input image"
},
"scale_factor": {
"type": "number",
"title": "Scale Factor",
"default": 4,
"maximum": 5,
"minimum": 1,
"x-order": 1,
"description": "Scale factor for image upscaling"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 3.5,
"maximum": 5,
"minimum": 0.5,
"x-order": 4,
"description": "Scale for classifier-free guidance"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 50,
"minimum": 1,
"x-order": 2,
"description": "Number of denoising steps"
},
"controlnet_conditioning_scale": {
"type": "number",
"title": "Controlnet Conditioning Scale",
"default": 0.6,
"maximum": 1.5,
"minimum": 0.1,
"x-order": 3,
"description": "Scale for controlnet conditioning"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
}