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afiaka87 /retrieval-augmented-diffusion:01f42dc7
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
|
|
model will try to generate this text.
|
| database_name |
string
(enum)
|
laion-aesthetic
Options: laion-aesthetic, simulacra, pokemon, prompt-engineer, emotes, cars, coco, openimages, country211, faces, food |
Which database to use for the semantic search. Different databases have different capabilities.
|
| scale |
number
|
5
|
Classifier-free unconditional scale for the PLMS sampler.
|
| num_database_results |
integer
|
10
Min: 1 Max: 20 |
The number of search results to guide the generation with. Using more will 'broaden' capabilities of the model at the risk of causing mode collapse or artifacting.
|
| num_generations |
integer
|
1
|
Number of images to generate. Using more will make generation take longer.
|
| height |
integer
|
768
|
Desired height of generated images.
|
| width |
integer
|
768
|
Desired width of generated images.
|
| steps |
integer
|
50
|
How many steps to run the model for. Using more will make generation take longer. 50 tends to work well.
|
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'}