--- base_model: playgroundai/playground-v2.5-1024px-aesthetic library_name: diffusers license: creativeml-openrail-m tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - diffusers-training - lora - text-to-image - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - playground - playground-diffusers inference: true --- # LoRA text2image fine-tuning - Jayw1/xubeihong_lora_new These are LoRA adaption weights for playgroundai/playground-v2.5-1024px-aesthetic. The weights were fine-tuned on the /mnt/afs/data/hjw/diffusers/xubeihong 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) LoRA for the text encoder was enabled: False. Special VAE used for training: None. ## 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]