You're looking at a specific version of this model. Jump to the model overview.
tonyhopkins994 /test:262d1f59
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
|
Living Room, high quality, best quality, highres, high resolution, highly detailed, realistic, ultrarealistic, photorealistic, 4K, 8K
|
Input prompt
|
negative_prompt |
string
|
blurry, distorted, low quality, worst quality, unrealistic, sketch, cartoon, artificial
|
Negative Prompt
|
input_image |
string
|
Source image for inpainting, base64 encoded string
|
|
mask_image |
string
|
Image mask for inpainting, base64 encoded string
|
|
num_inference_steps |
integer
|
30
Min: 1 Max: 500 |
Number of denoising steps
|
guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
strength |
number
|
1
Max: 1 |
Inpainting strength; 0 equates to no change, 1 equates to complete destructio of initial image
|
num_outputs |
integer
|
1
Min: 1 Max: 6 |
Number of images to output
|
ip_adapter_scale |
number
|
0.5
Max: 1 |
IP adapter guidance strength
|
ip_adapter_image |
string
|
Input image for IP adapter, base64 encoded string
|
|
normal_image |
string
|
Input image for normal controlnet, base64 encoded string
|
|
depth_image |
string
|
Input image for depth controlnet, base64 encoded string
|
|
mlsd_image |
string
|
Input image for mlsd controlnet, base64 encoded string
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'type': 'string'}, 'title': 'Output', 'type': 'array'}