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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.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}