Ghibli Diffusion

This is the fine-tuned Stable Diffusion model trained on images from modern anime feature films from Studio Ghibli. Use the tokens ghibli style in your prompts for the effect.

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Characters rendered with the model: Cars and Animals rendered with the model: Landscapes rendered with the model: ghibli style beautiful Caribbean beach tropical (sunset) - Negative prompt: soft blurry ghibli style ice field white mountains ((northern lights)) starry sky low horizon - Negative prompt: soft blurry

ghibli style (storm trooper) Negative prompt: (bad anatomy) Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 3450349066, Size: 512x704

ghibli style VW beetle Negative prompt: soft blurry Steps: 30, Sampler: Euler a, CFG scale: 7, Seed: 1529856912, Size: 704x512

This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the train-text-encoder flag in 15.000 steps.

? Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion .

You can also export the model to ONNX , MPS and/or FLAX/JAX .

from diffusers import StableDiffusionPipeline
import torch

model_id = "nitrosocke/Ghibli-Diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "ghibli style magical princess with golden hair"
image = pipe(prompt).images[0]

image.save("./magical_princess.png")

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: