cudanexus
/
interior
- Public
- 139 runs
Run cudanexus/interior 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
|
|
prompt |
string
|
rustic
|
None
|
negative_prompt |
string
|
|
None
|
mask_prompt |
string
|
floor
|
Positive mask prompt
|
negative_mask_prompt |
string
|
low quality, exterior, overexposed, artificial lighting, CGI, render, drawing, text, close-up, cropped, deformed features, unrealistic, blurry, poor anatomy, missing limbs, extra limbs, UnrealisticDream, realisticvision-negative-embedding
|
Negative mask prompt
|
steps |
integer
|
10
Max: 50 |
steps
|
condition_scale |
number
|
0.5
Max: 1 |
controlnet conditioning scale for generalization
|
guidance |
number
|
2.5
Max: 15 |
Guidance scale
|
width |
integer
|
768
|
Width
|
adjustment_factor |
integer
|
0
|
Mask Adjustment Factor (-ve for erosion, +ve for dilation)
|
seed |
integer
|
0
|
Random seed. Set to 0 to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"default": 0,
"x-order": 10,
"description": "Random seed. Set to 0 to randomize the seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Input image"
},
"steps": {
"type": "integer",
"title": "Steps",
"default": 10,
"maximum": 50,
"minimum": 0,
"x-order": 5,
"description": " steps"
},
"width": {
"type": "integer",
"title": "Width",
"default": 768,
"x-order": 8,
"description": "Width"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "rustic",
"x-order": 1
},
"guidance": {
"type": "number",
"title": "Guidance",
"default": 2.5,
"maximum": 15,
"minimum": 0,
"x-order": 7,
"description": "Guidance scale"
},
"mask_prompt": {
"type": "string",
"title": "Mask Prompt",
"default": "floor",
"x-order": 3,
"description": "Positive mask prompt"
},
"condition_scale": {
"type": "number",
"title": "Condition Scale",
"default": 0.5,
"maximum": 1,
"minimum": 0,
"x-order": 6,
"description": "controlnet conditioning scale for generalization"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "",
"x-order": 2
},
"adjustment_factor": {
"type": "integer",
"title": "Adjustment Factor",
"default": 0,
"x-order": 9,
"description": "Mask Adjustment Factor (-ve for erosion, +ve for dilation)"
},
"negative_mask_prompt": {
"type": "string",
"title": "Negative Mask Prompt",
"default": "low quality, exterior, overexposed, artificial lighting, CGI, render, drawing, text, close-up, cropped, deformed features, unrealistic, blurry, poor anatomy, missing limbs, extra limbs, UnrealisticDream, realisticvision-negative-embedding",
"x-order": 4,
"description": "Negative mask prompt"
}
}
}
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"
}