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vetkastar /lora-train:dfcbdbc4

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
images
string
Zip archive containing training images
lora_name
string
Lora name
num_epochs
integer
1
Number of training epochs
learning_rate
number
0.0001
Learning rate for LoRA training
lr_scheduler
string (enum)
constant

Options:

linear, cosine, cosine_with_restarts, polynomial, constant, constant_with_warmup

Learning rate scheduler
lr_warmup_steps
integer
0
Number of warmup steps for learning rate scheduler
resolution
integer
512
Image resolution for training

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'}