Stable diffusion medium with 16GB VRAM for fine-tuning #technology

The article discusses Stable Diffusion 3 (SD3) Medium, an advanced text-to-image model released by stability.ai. Despite being smaller than other models, SD3 Medium produces high-quality images, understands complex prompts, and performs inference quickly. The article explains how to fine-tune SD3 Medium on a 16GB VRAM GPU by quantizing one of the text encoders, reducing memory usage, and using LoRA to further decrease VRAM usage. The post provides detailed steps and files needed for this process, including creating a Conda environment, accessing SD3 Medium from Hugging Face, and training the model using a custom script. It also covers running inference with the trained model and adjusting the balance between the original and fine-tuned model. By following the steps outlined in the article, users can customize the SD3 Medium model to suit their needs, reduce costs, and increase accessibility to model customization. The post concludes by summarizing the key points discussed and highlighting the benefits of reducing VRAM usage during training.

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Source link: https://medium.com/@filipposantiano/fine-tuning-stable-diffusion-3-medium-with-16gb-vram-36f4e0d084e7?source=rss——stable_diffusion-5