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  language:
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  - en
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  license: creativeml-openrail-m
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- thumbnail: "https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase_AnimeChan.jpg"
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  tags:
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  - stable-diffusion
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  - text-to-image
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  # AnimeChan Style
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  <p>
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- <img alt="Showcase" src="https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase_AnimeChan.jpg"/><br/>
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  This model was based on <a href="https://huggingface.co/naclbit/trinart_stable_diffusion_v2">Trinart</a> model.<br/>
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  The dataset was a collaborative effort of the Stable Diffusion #anime channel, made of pictures from the users themselves using their different techniques.<br/>
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  100 total pictures in the dataset, 300 repeats total each, over 6 Epoch on LR1e-6.<br/>
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  To access this model, you can download the CKPT file below, or use the <a href="https://huggingface.co/Guizmus/AnimeChanStyle/tree/main">diffusers</a>
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  </p>
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- [current v2 download link](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChanStyle-v2.ckpt)
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  [dataset for the second version](https://huggingface.co/datasets/Guizmus/AnimeChanStyle)
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  ## First version
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- ![first version showcase](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase.jpg)
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- [first version download link](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChanStyle_v1.ckpt)
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- [dataset for the first version](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChan%20Style.zip)
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- ## 🧨 Diffusers
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-
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- This model can be used just like any other Stable Diffusion model. For more information,
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- please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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-
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- You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
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-
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- ```python
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- from diffusers import StableDiffusionPipeline
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- import torch
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-
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- model_id = "Guizmus/AnimeChanStyle"
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- pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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- pipe = pipe.to("cuda")
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-
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- prompt = "A beautiful slime girl, AnimeChan Style"
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- image = pipe(prompt).images[0]
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-
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- image.save("./AnimeChanStyle.png")
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- ```
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  ## License
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  language:
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  - en
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  license: creativeml-openrail-m
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+ thumbnail: "https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase_AnimeChan.jpg"
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  tags:
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  - stable-diffusion
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  - text-to-image
 
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  # AnimeChan Style
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  <p>
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+ <img alt="Showcase" src="https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase_AnimeChan.jpg"/><br/>
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  This model was based on <a href="https://huggingface.co/naclbit/trinart_stable_diffusion_v2">Trinart</a> model.<br/>
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  The dataset was a collaborative effort of the Stable Diffusion #anime channel, made of pictures from the users themselves using their different techniques.<br/>
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  100 total pictures in the dataset, 300 repeats total each, over 6 Epoch on LR1e-6.<br/>
 
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  To access this model, you can download the CKPT file below, or use the <a href="https://huggingface.co/Guizmus/AnimeChanStyle/tree/main">diffusers</a>
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  </p>
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+ [current v2 download link](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChanStyle-v2.ckpt)
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  [dataset for the second version](https://huggingface.co/datasets/Guizmus/AnimeChanStyle)
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  ## First version
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+ ![first version showcase](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase.jpg)
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+ [first version download link](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChanStyle_v1.ckpt)
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+ [dataset for the first version](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChan%20Style.zip)
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  ## License
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