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Update README.md
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README.md
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of
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widget: []
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a photo of bagan to trigger the image generation.
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## Download model
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## Intended uses & limitations
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#### How to use
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```python
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photo of husky
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widget: []
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---
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Download model
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#### How to use
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```python
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pipe.load_lora_weights('YeBhoneLin10/husky_lora',weight_name='pytorch_lora_weights.safetensors')
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```
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## Training details
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I used only 8 images of husky photos. I assigned the training steps to 300 steps and it gave me good result. Here is the result from my training.
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Prompt: "score_9, score_8_up, score_7_up, rating_safe, husky, painterly, faux traditional media, realistic, solo, male focus, mature male, orc, tusks, blue eyes, looking at viewer, armor, shoulder armor, breastplate, pauldrons, upper body, closed mouth, standing, outdoors, night, night sky, dark background"
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