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  license: mit
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- ### Hrrzg-Style on Stable Diffusion via Dreambooth trained on the [fast-DreamBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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  #### Model by TheLastBen
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- This your the Stable Diffusion model fine-tuned the Hrrzg-Style concept taught to Stable Diffusion with Dreambooth.
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- It can be used by modifying the `instance_prompt(s)`: hrrzg
 
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  You can also train your own concepts and upload them to the library by using [the fast-DremaBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb).
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  You can run your new 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), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)
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  Sample pictures of this concept:
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  !["" 0](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(11).png)
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  !["" 17](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(1).png)
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  !["" 18](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(5).png)
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  !["" 19](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(19).png)
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  license: mit
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+ ### Fred Herzog Photography Style
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  #### Model by TheLastBen
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+ This model is trained on Fred Herzog's work using 30 images 768x768, 12000 steps, 1k steps text encoder at the beginning and 500 steps at the end.
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+
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  You can also train your own concepts and upload them to the library by using [the fast-DremaBooth.ipynb by TheLastBen](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb).
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  You can run your new 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), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)
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  Sample pictures of this concept:
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  !["" 0](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(11).png)
 
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  !["" 17](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(1).png)
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  !["" 18](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(5).png)
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  !["" 19](https://huggingface.co/TheLastBen/hrrzg-style/resolve/main/concept_images/img%20(19).png)
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+
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+ Prompts to start with :
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+ close up portrait of beautiful young woman in a bus by hrrzg
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+ Negative prompt: low quality, fake, painting, greyscale, night
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+ Steps: 30, Sampler: DPM++ 2S a Karras, CFG scale: 7.5, Size: 896x768, Model hash: e93cb7f3, Denoising strength: 0.7, First pass size: 640x512
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+
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+ beautiful, ultra detailed, cinematic, ((sharp focus)), intricate details, micro details, city, street
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+ Negative prompt: low quality, fake, painting, greyscale, painting, bokeh
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+ Steps: 45, Sampler: DPM++ 2S a Karras, CFG scale: 8.5, Size: 768x768, Model hash: e93cb7f3, Denoising strength: 0.7, First pass size: 512x640
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+ Always check the Highres.fix box and keep the resolution above 768x768, if you use the terms "city" "road" "street" "urban", you don't have to include the instance "hrrzg"