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kyujinpy/KO-stable-diffusion-disney
KO-stable-diffusion-disney is a text-to-image model from kyujinpy. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
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From the Hugging Face model README
Korean-Stable-Diffusion-Disney
This is the fine-tuned Stable Diffusion 1.5 model trained on screenshots from a popular animation studio. Use the tokens modern disney style in your prompts for the effect.
Note
Example

modern disney lara croft Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 3940025417, Size: 512x768
modern disney (baby lion) Negative prompt: person human Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 1355059992, Size: 512x512
This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the train-text-encoder flag in 9.000 steps.
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
You can also export the model to ONNX, MPS and/or FLAX/JAX.
from diffusers import StableDiffusionPipeline
import torch
model_id = "kyujinpy/KO-stable-diffusion-disney"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "황금빛 머리카락의 마법 공주, 디즈니 스타일"
image = pipe(prompt).images[0]
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: