You're looking at a specific version of this model. Jump to the model overview.

laion-ai /laionide:16691a8e

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
Text prompt to use. Keep it simple/literal and avoid using poetic language (unlike CLIP).
batch_size
integer
3

Min: 1

Max: 6

Batch size. Number of generations to predict
side_x
integer (enum)

Options:

32, 48, 64, 80, 96, 112, 128

Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.
side_y
integer (enum)

Options:

32, 48, 64, 80, 96, 112, 128

Must be multiple of 8. Going above 64 is not recommended. Actual image size will be 4x larger.
upsample_stage
boolean
False
If true, uses both the base and upsample models. If false, only the (finetuned) base model is used. This is useful for testing the upsampler, which is not finetuned.
guidance_scale
number
4.0
Classifier-free guidance scale. Higher values move further away from unconditional outputs. Lower values move closer to unconditional outputs. Negative values guide towards semantically opposite classes. 4-16 is a reasonable range.
upsample_temp
number (enum)

Options:

0.997, 0.998, 1.0

Upsample temperature. Consider lowering to ~0.997 for blurry images with fewer artifacts.
timestep_respacing
string (enum)
100

Options:

5, 10, 15, 20, 25, 27, fast27, 30, 35, 40, 45, 50, 75, 100, 125, 150

Number of timesteps to use for base model. Going above 150 has diminishing returns.
seed
integer
0
Seed for reproducibility
use_noisy_clip
boolean
False
If true, uses the noisy CLIP model. Only works with image size = (64, 64). This CLIP is not finetuned and so may not very well.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'items': {'properties': {'file': {'format': 'uri',
                                   'type': 'string',
                                   'x-order': 0},
                          'text': {'type': 'string', 'x-order': 1}},
           'type': 'object'},
 'type': 'array',
 'x-cog-array-type': 'iterator'}