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alexgenovese /autotrain-dreambooth:d513fa71

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
model
string
stabilityai/stable-diffusion-xl-base-1.0
HF base model path
prompt
string
a photo of aisudhca bag
Instance prompt
train_data_zip
string
Upload image dataset in zip format
mixed_precision
string (enum)
bf16

Options:

bf16, fp16

FP16 or BF16
train_class_data_zip
string
Upload image dataset in zip format - For Regularization
class_prompt
string
Class prompt
seed
integer
42
Seed
resolution
integer (enum)
1024

Options:

512, 768, 1024

Resolution
center_crop
boolean
False
Center crop
train_text_encoder
boolean
True
Train text encoder
batch_size
integer
1
Train batch size
num_steps
integer
2000
Max train steps
checkpointing_steps
integer
500
Checkpointing steps
gradient_accumulation
integer
1
Gradient accumulation steps
lr
number
0.0004
Learning rate
scheduler
string (enum)
constant

Options:

linear, cosine, cosine_with_restarts, polynomial, constant, constant_with_warmup

Learning rate scheduler
warmup_steps
integer
0
Learning rate warmup steps
num_cycles
integer
1
Learning rate num cycles
use_8bit_adam
boolean
False
Use 8bit adam
xformers
boolean
False
Enable xformers memory efficient attention
xl
boolean
True
XL

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'}