SDv1.5 Artifacts-500 LoRA is a fine-tuned model based on Stable Diffusion v1.5, specifically optimized for generating patterns from the artifacts-500 dataset(artifacts-500.zip). Using LoRA (Low-Rank Adaptation) technology, the model has been adapted to produce higher-quality patterns relevant to the dataset.

Before you begin, ensure you have downloaded the pre-trained weights for Stable Diffusion v1.5. You can download the weights from the official Stable Diffusion repository.

We have trained LoRA weights for the Artifacts-500 dataset. You can download the trained LoRA weights from the following links:

After downloading the weights, you can use the generate.py script to test the model's performance. Follow these steps:

Ensure you have the following Python libraries installed:

To test the model with the LoRA weights trained for 1 epoch:

The param lcm_speedup decide use lcm speed up or not.

The generated images will be saved to the specified paths:

Results after 100 epochs: 100epoch_test_results.png

Here are the example results: