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yuni-eng /controlnet-sdxl:2498ccab
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 to create in different art medium
|
|
prompt |
string
|
Choose art medium to generate in that style. For example: a photo of, a acrylic paint of, an anime drawing of, a caricature of, a cartoon of, a drawing of, a graphitti of, an illustration of, a line art of, an oil painting of, a pencil sketch of
|
Input your imagination
|
negative_prompt |
string
|
poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy
|
Specify things to not see in the output
|
width |
integer
(enum)
|
768
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
height |
integer
(enum)
|
768
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output. > 2 might generate out-of-memory errors.
|
seed |
integer
|
0
|
Random seed. Set to 0 to randomize the seed. If you need tweaks to a generated image, reuse the same seed number from output logs.
|
num_inference_steps |
integer
|
100
Min: 1 Max: 500 |
Number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference
|
guidance_scale |
number
|
7.5
|
A higher guidance scale value generate images closely to the text prompt at the expense of lower image quality. Guidance scale is enabled when guidance_scale > 1.
|
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'}