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disco-elysium-lora – AI Model by philipp-zettl | AlphaNeural AI

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philipp-zettl/
disco-elysium-lora

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stable-diffusion-v1-5/stable-diffusion-v1-5

autotrain_compatible

endpoints_compatible

StableDiffusionPipeline

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Trigger words

To trigger the LoRA use the prompt in style of DSYL

Training

This adapter has been trained using the autotrain-advanced dreambooth colab-notebook with the dataset stored in ./images/training.

Training time was ~14 minutes on a T4 instance.

Config

The following config has been used

python

project_name = 'disco-elysium'
model_name = 'stable-diffusion-v1-5/stable-diffusion-v1-5'
prompt = 'in the style of DSYL'

learning_rate = 1e-4
num_steps = 500
batch_size = 1
gradient_accumulation = 4
resolution = 512
use_8bit_adam = False
use_xformers = False
mixed_precision = "fp16"
train_text_encoder = True
disable_gradient_checkpointing = False