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blendto /sdxl-controlnet-xformers:4eb62208
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 |
---|---|---|---|
prompt1 |
string
|
Input prompt
|
|
prompt2 |
string
|
Input prompt
|
|
prompt3 |
string
|
Input prompt
|
|
prompt4 |
string
|
Input prompt
|
|
negative_prompt |
string
|
|
Input Negative Prompt
|
image1 |
string
|
Input image for img2img or inpaint mode
|
|
image2 |
string
|
Input image for img2img or inpaint mode
|
|
image3 |
string
|
Input image for img2img or inpaint mode
|
|
image4 |
string
|
Input image for img2img or inpaint mode
|
|
width1 |
integer
|
1024
|
Width of output image
|
height1 |
integer
|
1024
|
Height of output image
|
height2 |
integer
|
1024
|
Height of output image
|
width2 |
integer
|
1024
|
Width of output image
|
height3 |
integer
|
1024
|
Height of output image
|
width3 |
integer
|
1024
|
Width of output image
|
height4 |
integer
|
1024
|
Height of output image
|
width4 |
integer
|
1024
|
Width of output image
|
scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM, UNIPC |
scheduler
|
num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
guidance_scale |
number
|
7.5
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
controlnet_conditioning_scale |
number
|
0.6
Max: 1 |
ControlNet conditioning scale. Only applicable on trained models.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}