laion-ai/ongo

Generate a painting using text.

  • Public
  • 133.4K runs

Run ongo with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

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
Your text prompt.
negative
string
(optional) Negate the model's prediction for this text from the model's prediction for the target text.
init_image
string
(optional) Initial image to use for the model's prediction. If provided alongside a mask, the image will be inpainted instead.
mask
string
a mask image for inpainting an init_image. white pixels = keep, black pixels = discard. resized to width = image width/8, height = image height/8
guidance_scale
number
5

Min: -20

Max: 100

Classifier-free guidance scale. Higher values will result in more guidance toward caption, with diminishing returns. Try values between 1.0 and 40.0. In general, going above 5.0 will introduce some artifacting.
steps
integer
50

Min: 15

Max: 250

Number of diffusion steps to run. Due to PLMS sampling, using more than 100 steps is unnecessary and may simply produce the exact same output.
batch_size
integer
4

Min: 1

Max: 16

Batch size. (higher = slower)
width
integer (enum)
256

Options:

128, 192, 256, 320, 384

Target width
height
integer (enum)
256

Options:

128, 192, 256, 320, 384

Target height
init_skip_fraction
number
0

Max: 1

Fraction of sampling steps to skip when using an init image. Defaults to 0.0 if init_image is not specified and 0.5 if init_image is specified.
aesthetic_rating
integer
9
Aesthetic rating (1-9) - embed to use.
aesthetic_weight
number
0.5
Aesthetic weight (0-1). How much to guide towards the aesthetic embed vs the prompt embed.
seed
integer
-1

Min: -1

Max: 4294967295

Seed for random number generator. If -1, a random seed will be chosen.
intermediate_outputs
boolean
False
Whether to return intermediate outputs. Enable to visualize the diffusion process and/or debug the model. May slow down inference.

Output schema

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

Schema
{'items': {'items': {'format': 'uri', 'type': 'string'}, 'type': 'array'},
 'title': 'Output',
 'type': 'array',
 'x-cog-array-type': 'iterator'}