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Guizmus
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README.md
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language:
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license: creativeml-openrail-m
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thumbnail: "https://huggingface.co/Guizmus/
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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/
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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/
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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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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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```python
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from diffusers import StableDiffusionPipeline
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import torch
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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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prompt = "A beautiful slime girl, AnimeChan Style"
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image = pipe(prompt).images[0]
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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 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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