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adymaharana /story-dalle:f74d4012
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 |
|---|---|---|---|
| caption_1 |
string
|
Pororo is in a party.
|
First scene in your story
|
| caption_2 |
string
|
Pororo is singing a song on the stage in the party
|
Second scene in your story
|
| caption_3 |
string
|
Poby is cheering in the audience
|
Third scene in your story
|
| caption_4 |
string
|
Crong is dancing in the party
|
Final scene in your story
|
| source |
string
(enum)
|
Pororo
Options: Pororo, Loopy, Eddy, Harry, Poby, Tongtong, Crong, Rody, Petty |
The main character of your story
|
| top_k |
integer
|
32
|
the number of highest probability vocabulary tokens to keep for top-k-filtering
|
| top_p |
number
|
0.2
|
Only the most probable tokens with probabilities that add up to `top_p` or higher are kept for generation
|
| n_candidates |
integer
|
4
Min: 1 Max: 4 |
Num candidates to generate for each story panel
|
| supercondition |
boolean
|
False
|
Set `supercondition` to True to enable generation using a null hypothesis.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}