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akisakurai /stable-karlo:92a88275

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
A portrait of a panda holding a vial in a laboratory is trending on ArtStation. It was rendered in Blender and has an intriguing, cinematic quality with vivid colors, neon lights, and a blue flame. It evokes the feeling of a movie trailer.
Input prompt
negative_prompt
string
amateur, mediocre, grainy, blur
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.
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
prior_num_inference_steps
integer
25

Min: 1

Max: 500

Number of prior denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
prior_guidance_scale
number
4

Min: 1

Max: 20

Scale for prior classifier-free guidance
noise_level
integer
0
The amount of noise to add to the image embeddings
scheduler
string (enum)
K_EULER_ANCESTRAL

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS, UniPCMultistep

Choose a scheduler.
seed
integer
Random seed. Leave blank to randomize the seed

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'}