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README.md
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- lora
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- template:sd-lora
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widget:
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: in the style of TOK
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license: openrail++
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---
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# SDXL LoRA DreamBooth - besni
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('besni', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('in the style of TOK').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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- lora
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- template:sd-lora
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widget:
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- text: in the style of TOK
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output:
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url: 000.png
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- text: Face closeup, Beautiful young woman
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output:
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url: 001.png
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- text: in the style of TOK
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output:
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url: 002.png
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- text: beautiful woman with red eyes
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output:
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url: 003.png
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: in the style of TOK
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license: openrail++
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datasets:
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- Chan-Y/besni
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---
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# SDXL LoRA DreamBooth - besni
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('Chan-Y/besni', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('in the style of TOK', num_inference_steps=50).images[0]
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image
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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