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Verified signature--- license: mit base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - text-to-image - diffusers - pytorch - fine-tuned-unet inference: true --- # Stable Diffusion v1-3.0 (Fine-Tuned UNet) This repository contains fine-tuned **UNet** weights for Stable Diffusion v1.5, trained by [UX4567](https://huggingface.co/UX4567). ## Model Details - **Base Model:** [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) - **Model Type:** Text-to-Image Diffusion (UNet component) - **Training Environment:** Google Colab (T4 GPU) - **Precision:** FP16 / 8-bit Adam optimization (`bitsandbytes`) ## How to Use Because this repository stores the fine-tuned UNet weights, you can easily load it using the `diffusers` library by injecting it into the base Stable Diffusion pipeline: ```python import torch from diffusers import StableDiffusionPipeline, UNet2DConditionModel model_id = "UX4567/Stable-Diffusion-v1-3.0" device = "cuda" if torch.cuda.is_availa…29da579