--- base_model: stabilityai/stable-diffusion-2 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - diffusers-training - lora --- # LoRA text2image fine-tuning - RobertoNeglia/pepe_generator_sd2_sentiment These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were fine-tuned on the RobertoNeglia/pepe_dataset_sentiment dataset. You can find some example images in the following. ![img_0](./image_0.png) ![img_1](./image_1.png) ![img_2](./image_2.png) ![img_3](./image_3.png) ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]