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license: creativeml-openrail-m |
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--- |
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# DeathNote Diffusion |
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<p>This is the fine-tuned Stable Diffusion model trained on images from the anime Death Note.<br/> |
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The following tokens will add their corresponding concept :<br/> |
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<ul> |
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<li><b>DeathNote notebook</b> : the Deathnote itself</li> |
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<li><b>Light Yagami</b> man : Light Yagami, main character</li> |
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<li><b>Ryuk</b> demon : Ryuk, Shinigami</li> |
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<li><b>LLawliet</b> man : L, "full" name</li> |
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<li><b>Misa Amane</b> girl : Second Kira</li> |
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<li><b>Soichiro Yagami</b> man : Soichiro, Father of Light, Policeman</li> |
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<li><b>Sayou Yagami</b> girl : Sayou, sister of Light</li> |
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<li><b>Raye Penber</b> man : Raye, FBI Agent</li> |
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<li><b>Naomi Misora</b> girl : Naomi, fiance of Raye</li> |
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<li><b>DNStyle style</b> : style of the anime</li> |
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</ul> |
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### 🧨 Diffusers |
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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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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/DeathNote" |
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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 = "Ryuk demon, intricate, headshot, highly detailed" |
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image = pipe(prompt).images[0] |
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image.save("./Ryuk_demon.png") |
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``` |
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## Examples |
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### DNSStyle, style of the anime |
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<p> |
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<u>Sampling :</u> 30 k_Euler_a<br/> |
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<u>CFGS :</u> 7 to 9, denoising 0.5<br/> |
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<u>Prompts :</u><br/> |
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<ul> |
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<li>first txt2img : DNStyle style, anime girl sunbathing in a field</li> |
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<li>second txt2img : </li> |
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<li>img2img : DNStyle style, anime guy</li> |
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</ul> |
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<img src="https://huggingface.co/Guizmus/DeathNote/raw/main/samples/dnsstyle.jpg"/> |
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</p> |
