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@@ -4,7 +4,7 @@ license: creativeml-openrail-m
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  # Hitokomoru Diffusion
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- Welcome to Hitokomoru Diffusion - a latent diffusion model that has been trained on Japanese Artist artwork, [γƒ’γƒˆγ“γ‚‚γ‚‹/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of 2.0e-6 for 10000 training steps on 255 images. The model is trained using the [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions. Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images.
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  e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
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  Below are some examples of images generated using this model:
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- ### Using Hitomoru-5000.ckpt
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  **Anime Girl:**
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  ![Anime Girl](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/girl-5000.png)
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  **Anime Boy:**
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  ![Anime Boy](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/boy-5000.png)
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- ### Using Hitomoru-10000.ckpt
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  **Anime Girl:**
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  ![Anime Girl](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/girl-10000.png)
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  3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
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  [Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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  ## Credit
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  - [γƒ’γƒˆγ“γ‚‚γ‚‹/Hitokomoru](https://www.pixiv.net/en/users/30837811) for Datasets
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  ## Big Thanks to
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- - [Kohya](https://twitter.com/kohya_ss) with their [Kohya Trainer](https://note.com/kohya_ss/n/ne17e34dd51bf)
 
 
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  # Hitokomoru Diffusion
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+ Welcome to Hitokomoru Diffusion - a latent diffusion model that has been trained on Japanese Artist artwork, [γƒ’γƒˆγ“γ‚‚γ‚‹/Hitokomoru](https://www.pixiv.net/en/users/30837811). The current model has been fine-tuned with a learning rate of 2.0e-6 for 10000 training steps on 255 Hitokomoru artwork. The model is trained using [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions. Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images.
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  e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
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  Below are some examples of images generated using this model:
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+ #### Using Hitokomoru-5000.ckpt
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  **Anime Girl:**
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  ![Anime Girl](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/girl-5000.png)
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  **Anime Boy:**
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  ![Anime Boy](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/boy-5000.png)
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+ #### Using Hitokomoru-10000.ckpt
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  **Anime Girl:**
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  ![Anime Girl](https://huggingface.co/Linaqruf/hitokomoru/resolve/main/girl-10000.png)
 
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  3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
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  [Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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+ ## What's next?
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+ - Trying to resuming training until 20k or even 50k if possible (Research purpose, if the result is great I'll upload here)
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+ - Adding example images for `Scenery`
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+
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  ## Credit
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  - [γƒ’γƒˆγ“γ‚‚γ‚‹/Hitokomoru](https://www.pixiv.net/en/users/30837811) for Datasets
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  ## Big Thanks to
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+ - [Kohya](https://twitter.com/kohya_ss) with their [Kohya Trainer](https://note.com/kohya_ss/n/ne17e34dd51bf)
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+ - Peeps on SD Training Labs Discord Server