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README.md
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- stable-diffusion
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### Broken-Mirror-Style Dreambooth model trained by Kagerage with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
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Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
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Sample pictures of this concept:
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- safetensors
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- stable-diffusion
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---
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### Broken-Mirror-Style Dreambooth model trained by Kagerage with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
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Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
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In my experience, the best prompting style is "brkmror cracked and shattered mirror, professional photo, descriptor of location, portrait of person, bokeh", potentially with a negative prompt of "closed eyes"
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Sampler DPM++ SDE Karras with at least 25 steps gives slightly better faces from my testing, CFG 7 seems fine, and since this is trained on top of 2.1, the minimum resolution is 768x768.
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Or course though, feel free to experiment!
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\(NOTE!!! This 2.1 based model is FP16, so it may not render outputs properly without Xformers\)
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Sample pictures of this concept:
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