<h1 id="heading-58">Model Info</h1>Prompt Keywords: thick ass, booty pose, big fat assDemo: <a target="_blank" rel="ugc" href="https://colab.research.google.com/drive/1BDMiPrI9fuuA1pxZY-OAd4xM7BKUglfy?usp=sharing">https://colab.research.google.com/drive/1BDMiPrI9fuuA1pxZY-OAd4xM7BKUglfy?usp=sharing</a>**Note: Change the prompt in demo, must include Keywords.works better if used with ControlNetThe LoRA model is created by "train_dreambooth_<a target="_blank" rel="ugc" href="http://lora.py">lora.py</a>" script provided on official diffusers github repo (<a target="_blank" rel="ugc" href="https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth_lora.py">https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth_lora.py</a>)LoRA compatible with AUTOMATIC1111 or other WebUI. You can also load this LoRA with few simple lines of code: #Load any model (Base Model-&gt;SD 1.5) of your choice pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)#Load LoRA pipeline.load_lora_weights(pretrained_model_name_or_path_or_dict="path where lora is stored", weight_name="perfect_thick_ass.safetensors")

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