You're looking at a specific version of this model. Jump to the model overview.
hunkim98 /kandinsky-2-1:a23b7641
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, text_guided_img2img, inpaint |
Choose a task
|
prompt |
string
|
A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting
|
Provide input prompt
|
negative_prompt |
string
|
low quality, bad quality
|
Specify things to not see in the output for text2img and text_guided_img2img tasks
|
image |
string
|
Input image for text_guided_img2img task
|
|
mask |
string
|
Mask for inpainting task
|
|
strength |
number
|
0.3
Max: 1 |
indicates how much to transform the input iamge, valid for text_guided_img2img task.
|
width |
integer
|
512
Min: 128 Max: 1024 |
Width of output image. Reduce the seeting if hits memory limits
|
height |
integer
|
512
Min: 128 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
|
25
Min: 1 Max: 500 |
Number of denoising steps in prior
|
num_inference_steps |
integer
|
100
Min: 1 Max: 500 |
Number of denoising steps
|
guidance_scale |
number
|
4
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
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'}