This repository contains the code and instructions for running the LCM LoRA models on Google Colab with a T4 GPU. These models are based on stable diffusion models with LoRA distillation, which can synthesize high-resolution images with few-step inference. You can use these models to generate realistic and diverse images from various domains, such as faces, animals, landscapes, and more.
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The LCM LoRA models include:
- SDv1.5: A stable diffusion model trained on ImageNet-64 with 1.5 billion parameters.
- SDXL: A stable diffusion model trained on ImageNet-128 with 3.2 billion parameters.
- SSD 1B: A super-resolution diffusion model trained on ImageNet-256 with 1 billion parameters.
To use the LCM LoRA models, you need to have a Google account and access to Google Colab. You can try the models for free on Google Colab by following these steps:
1. Open the LCM LoRA Colab Notebook in your browser.
2. Click on the Connect button at the top right corner of the notebook to connect to a runtime with a T4 GPU.
3. Execute the first cell to install the essential library and choose your base model. Then, download the Lora Model from the dropdown box.
4. To generate an image, type your prompt in the cell below and run it. You can also experiment with different values for the number of steps and the guidance scale.
Here are some examples of images generated by the LCM LoRA models:
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