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.
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.
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
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 image.save("./magical_princess.png")
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:
- You can't use the model to deliberately produce nor share illegal or harmful outputs or content
- 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
- 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
- Downloads last month