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  ---
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- license: creativeml-openrail-m
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- tags:
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- - text-to-image
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  ---
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  ### anglaLudicMindTwo 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 Cacau
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- This your the Stable Diffusion model fine-tuned the anglaLudicMindTwo concept taught to Stable Diffusion with Dreambooth.
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- It can be used by modifying the `instance_prompt(s)`: **anglaLudicMind-VOne(1).jpg, anglaLudicMind-VOne(8).jpg, anglaLudicMind-VOne(7).jpg, anglaLudicMind-VOne(2).jpg, anglaLudicMind-VOne(3).jpg, anglaLudicMind-VOne(6).jpg**
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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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- anglaLudicMind-VOne(6).jpg
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-
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- anglaLudicMind-VOne(3).jpg
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- anglaLudicMind-VOne(2).jpg
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-
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- anglaLudicMind-VOne(7).jpg
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-
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- anglaLudicMind-VOne(8).jpg
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  anglaLudicMind-VOne(1).jpg
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  ![anglaLudicMind-VOne(1).jpg 0](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(1).jpg)
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- ![anglaLudicMind-VOne(8).jpg 1](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(8).jpg)
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- ![anglaLudicMind-VOne(7).jpg 2](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(7).jpg)
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- ![anglaLudicMind-VOne(2).jpg 3](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(2).jpg)
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- ![anglaLudicMind-VOne(3).jpg 4](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(3).jpg)
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- ![anglaLudicMind-VOne(6).jpg 5](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(6).jpg)
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  ---
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+ license: creativeml-openrail-m
 
 
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  ---
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  ### anglaLudicMindTwo 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 Cacau s your the Stable Diffusion model fine-tuned the anglaLudicMindTwo concept taught to Stable Diffusion with Dreambooth.
 
 
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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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  anglaLudicMind-VOne(1).jpg
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  ![anglaLudicMind-VOne(1).jpg 0](https://huggingface.co/Cacau/anglaludicmindtwo/resolve/main/concept_images/anglaLudicMind-VOne(1).jpg)