--- language: - en license: creativeml-openrail-m thumbnail: "https://huggingface.co/Guizmus/DeathNote/raw/main/samples/showcase_dn_2.jpg" tags: - stable-diffusion - text-to-image - image-to-image library_name: "https://github.com/ShivamShrirao/diffusers" --- # DeathNote Diffusion


This is the fine-tuned Stable Diffusion model trained on images from the anime Death Note.
The total dataset is made of 93 pictures, and the training has been done on naclbit/trinart_stable_diffusion_v2 for 12500 steps. The following tokens will add their corresponding concept :

[current version, CKPT download link](https://huggingface.co/Guizmus/DeathNote/resolve/main/DeathNote_v2.ckpt) [older version, CKPT download link](https://huggingface.co/Guizmus/DeathNote/resolve/main/DeathNote_v1.ckpt) ## 🧨 Diffusers This model can be used just like any other Stable Diffusion model. For more information, please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). 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](). ```python from diffusers import StableDiffusionPipeline import torch model_id = "Guizmus/DeathNote" pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to("cuda") prompt = "Ryuk demon, intricate, headshot, highly detailed" image = pipe(prompt).images[0] image.save("./Ryuk_demon.png") ``` ## Examples

Sampling : 30 steps using k_Euler_a
CFGS : 7 to 9
Denoising : 0.5

## License This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: 1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content 2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license 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) [Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)