description: <h1 id="heading-58">Model Info</h1><p>Prompt Keywords: <strong><em>surprised look, surprised girl</em></strong></p><p><strong>Demo:<em> </em></strong><a target="_blank" rel="ugc" href="https://colab.research.google.com/drive/1BDMiPrI9fuuA1pxZY-OAd4xM7BKUglfy?usp=sharing"><strong><em>https://colab.research.google.com/drive/1BDMiPrI9fuuA1pxZY-OAd4xM7BKUglfy?usp=sharing</em></strong></a></p><p><strong><em>**Note: </em></strong>Change the prompt in demo, must include Keywords.</p><p>works better if used with ControlNet</p><p>The 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>)</p><p></p><p>LoRA compatible with <span style="color:rgb(193, 194, 197)">AUTOMATIC1111 or other WebUI.</span></p><p><br />You can also load this LoRA with few simple lines of code:<br /><em>#Load any model (Base Model-&gt;<span style="color:rgb(193, 194, 197)">SD 1.5</span>) of your choice</em><br /><em>pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)</em></p><p><em>#Load LoRA<br />pipeline.load_lora_weights(pretrained_model_name_or_path_or_dict="path where lora is stored", weight_name="surprise.safetensors")</em></p><p><em>pipeline.fuse_lora(lora_scale=2.0)</em></p>
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modelVersions.name: v1.0
modelVersions.publishedAt: 2023-12-24T17:31:17.566Z
modelVersions.trainedWords: surprised look surprised girl
name: Surprised LoRA
tags: photorealistic concept expressionism expressions surprised expression shocked surprise shock