--- base_model: stabilityai/stable-diffusion-xl-base-1.0 library_name: diffusers license: creativeml-openrail-m tags: - stable-diffusion - template:sd-lora - text-to-image - diffusers - diffusers-training - conan - lora widget: - text: >- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance. output: url: gen_res/prompt1-lora1.png - text: >- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance. output: url: gen_res/prompt1-lora2.png - text: >- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance. output: url: gen_res/prompt1-lora3.png - text: >- surprised, dark-haired male character in suit; background with dim purple hue and visible door or entrance. output: url: gen_res/prompt1-lora4.png - text: >- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette output: url: gen_res/prompt2-lora1.png - text: >- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette output: url: gen_res/prompt2-lora2.png - text: >- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette output: url: gen_res/prompt2-lora3.png - text: >- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette output: url: gen_res/prompt2-lora4.png - text: >- young woman with dark hair and red top in foreground with man in glasses; background crowd with outdoor setting; vibrant color palette output: url: gen_res/prompt1-lora1.png inference: true --- # SDXL-Conan These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the jugg1024/conan-gpt4-captions dataset. LoRA for the text encoder was enabled. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix ## 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]