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adalab-ai /kandinsky_v2_2:eb68c00d

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
task
string (enum)
text2img

Options:

text2img

Choose a task
scheduler
string (enum)
unipc

Options:

dpm, ddim, unipc

Choose a scheduler
prompt
string
A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting
Provide input prompt
negative_prompt
string
ugly, tiling, oversaturated, undersaturated, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft
Specify things to not see in the output for text2img and text_guided_img2img tasks
image
string
Input image for text2img
width
integer
512

Min: 64

Max: 1024

Width of output image. Reduce the seeting if hits memory limits
height
integer
512

Min: 64

Max: 1024

Height of output image. Reduce the seeting if hits memory limits
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_steps_prior
integer
2

Min: 1

Max: 500

Number of denoising steps in prior
num_inference_steps
integer
18

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
4

Min: 1

Max: 10

Scale for classifier-free guidance
seed
integer
Random seed. Leave blank to randomize the seed
img_weight
number
1

Max: 10

Weight of image - larger than 1 means more weight to image, lower than 0 is more weight to text

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'}