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neuralwork /mistral-stylist:4df3adf3

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
Prompt to send to the model.
event
string (enum)

Options:

New Year's Eve party, Christmas dinner, valentine's day date, father's day barbecue, mother's day lunch, zoo outing, yoga retreat, work / office event, wine tasting event, wedding as a guest, tropical vacation, theme park, lunch, Thanksgiving gathering, tech conference, symposium, sporting event, startup pitch event, science fair, school event, ski vacations, religious ceremony, potluck dinner, pool party, play, picnic, photography excursion, night club, national parks, music festival, museum visit, meditation workshop, job interview, historical tour, halloween party, graduation, grad school orientation, golf trip, gala, funeral, fitness bootcamp, film premiere, fashion show, fancy date, family gathering, Easter brunch, documentary screening, cruise, cooking workshop, concert, cocktail party, classical concert, charity run, casual date, business meeting, camping / hiking, book launch, birthday party, benefit party, business lunch, beach vacation, barbeque, bar, baking class, bachelorette party, bachelor party, art exhibition, aquarium visit, alumni reunion

Event type.
max_new_tokens
integer
1500

Min: 1

Maximum number of tokens to generate. A word is generally 2-3 tokens
min_new_tokens
integer
-1

Min: -1

Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.
temperature
number
0.9

Min: 0.01

Max: 5

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
top_p
number
0.9

Max: 1

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
seed
integer
0

Max: 1000

Seed for reproducibility

Output schema

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

Schema
{'title': 'Output', 'type': 'string'}