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--- |
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tags: |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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- text-to-image |
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- diffusers |
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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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<Gallery /> |
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## Model description |
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### These are besni LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. |
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## Download model |
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke |
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- **LoRA**: download **[`besni.safetensors` here 💾](/besni/blob/main/besni.safetensors)**. |
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- Place it on your `models/Lora` folder. |
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- On AUTOMATIC1111, load the LoRA by adding `<lora:besni:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/). |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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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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## Trigger words |
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You should use in the style of TOK to trigger the image generation. |
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## Details |
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All [Files & versions](/besni/tree/main). |
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The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py). |
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LoRA for the text encoder was enabled. True. |
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Pivotal tuning was enabled: False. |
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. |
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