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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'}