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maison913 /maison-cog-sdxl:06d1b3b4

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
An astronaut riding a rainbow unicorn
Input prompt
negative_prompt
string
Input Negative Prompt
image
string
Input image for img2img or inpaint mode
width
integer
1024
Width of output image
height
integer
1024
Height of output image
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, PNDM

scheduler
num_inference_steps
integer
50

Min: 1

Max: 100

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance
prompt_strength
number
0.8

Max: 1

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of info in image
seed
integer
Random seed. Leave blank to randomize the seed
refine
string (enum)
expert_ensemble_refiner

Options:

no_refiner, base_image_refiner, expert_ensemble_refiner

Which refine style to use
high_noise_frac
number
0.8

Max: 1

for expert_ensemble_refiner, the fraction of noise to use
refine_steps
integer
15
for base_image_refiner, the number of steps to refine, defaults to num_inference_steps

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'}