--- base_model: SG161222/RealVisXL_V5.0 library_name: diffusers license: openrail++ tags: - text-to-image - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - stable-diffusion-xl - stable-diffusion-xl-diffusers instance_prompt: an OurHood privacy booth widget: - text: A photograph, of an Ourhood privacy booth, front view, in a warehouse eventspace environment, in the style of event photography, silken oak frame, checkered warm grey exterior fabric, checkered warm grey interior fabric, curtains, diner seating, pillows output: url: image_0.png - text: A photograph, of an Ourhood privacy booth, front view, in a warehouse eventspace environment, in the style of event photography, silken oak frame, checkered warm grey exterior fabric, checkered warm grey interior fabric, curtains, diner seating, pillows output: url: image_1.png - text: A photograph, of an Ourhood privacy booth, front view, in a warehouse eventspace environment, in the style of event photography, silken oak frame, checkered warm grey exterior fabric, checkered warm grey interior fabric, curtains, diner seating, pillows output: url: image_2.png - text: A photograph, of an Ourhood privacy booth, front view, in a warehouse eventspace environment, in the style of event photography, silken oak frame, checkered warm grey exterior fabric, checkered warm grey interior fabric, curtains, diner seating, pillows output: url: image_3.png --- # SDXL LoRA DreamBooth - Tonioesparza/ourhood_training_dreambooth_lora_2_0_1500 ## Model description These are Tonioesparza/ourhood_training_dreambooth_lora_2_0_1500 LoRA adaption weights for SG161222/RealVisXL_V5.0. The weights were trained using [DreamBooth](https://dreambooth.github.io/). LoRA for the text encoder was enabled: True. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. ## Trigger words You should use an OurHood privacy booth to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](Tonioesparza/ourhood_training_dreambooth_lora_2_0_1500/tree/main) them in the Files & versions tab. ## 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]