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### genevieve_release_v1.0 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 Xanthius
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This
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It can be used by modifying the `instance_prompt(s)`: **iisfgli4cuz91.webp, ilmc4flfauz91.webp, qpsyyq0rauz91.webp, kmcaiv9ubuz91.webp**
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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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kmcaiv9ubuz91.webp
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qpsyyq0rauz91.webp
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ilmc4flfauz91.webp
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iisfgli4cuz91.webp
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![iisfgli4cuz91.webp 0](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/iisfgli4cuz91.webp)
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![ilmc4flfauz91.webp 1](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/ilmc4flfauz91.webp)
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![qpsyyq0rauz91.webp 2](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/qpsyyq0rauz91.webp)
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---
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### genevieve_release_v1.0 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 Xanthius
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This model was trained on a custom created character "Genevieve" and was not based on any existing person. As such anyone is free to use this model and her likeness in their own works, be that commercial or non-commercial.
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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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Note: these were the first attempts with the model and were raw outputs without facial corrections and with under 40 steps.
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I used the first results I generated in order to show the average results rather than the best.
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![iisfgli4cuz91.webp 0](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/iisfgli4cuz91.webp)
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![ilmc4flfauz91.webp 1](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/ilmc4flfauz91.webp)
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![qpsyyq0rauz91.webp 2](https://huggingface.co/Xanthius/genevieve-release-v1-0/resolve/main/concept_images/qpsyyq0rauz91.webp)
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