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edenartlab /sdxl-lora-trainer:c2fbfdd9
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 |
|---|---|---|---|
| checkpoint |
string
(enum)
|
sdxl-v1.0
Options: sdxl-v1.0 |
Which Stable Diffusion checkpoint to use
|
| lora_training_urls |
string
|
Training images for new LORA concept
|
|
| instance_prompt |
string
|
a single prompt that describes the concept to be learned
|
|
| name |
string
|
Name of new LORA concept
|
|
| resolution |
integer
|
960
|
Resolution
|
| lr_flip_p |
number
|
0.5
|
Left-right flipping probability for data augmentation
|
| train_batch_size |
integer
|
2
|
Batch size
|
| gradient_accumulation_steps |
integer
|
2
|
Gradient accumulation steps
|
| learning_rate |
number
|
0.0003
|
Learning rate for U-Net
|
| max_train_steps |
integer
|
400
|
Max train steps for tuning (U-Net and text encoder)
|
| lora_rank |
integer
|
4
|
LORA rank
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'properties': {'attributes': {'title': 'Attributes',
'type': 'object'},
'files': {'items': {'format': 'uri',
'type': 'string'},
'title': 'Files',
'type': 'array'},
'isFinal': {'default': False,
'title': 'Isfinal',
'type': 'boolean'},
'name': {'title': 'Name', 'type': 'string'},
'progress': {'title': 'Progress', 'type': 'number'},
'thumbnails': {'default': [None],
'items': {'format': 'uri',
'type': 'string'},
'title': 'Thumbnails',
'type': 'array'}},
'required': ['files'],
'title': 'CogOutput',
'type': 'object'},
'title': 'Output',
'type': 'array',
'x-cog-array-type': 'iterator'}