Ryukijano/Anime_finetuning
Viewer • Updated • 37 • 36
How to use Ryukijano/lora-trained-xl-kaggle-p100 with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Ryukijano/lora-trained-xl-kaggle-p100")
prompt = "Anime katana"
image = pipe(prompt).images[0]These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on an anime finetuning dataset with varied artstyles https://huggingface.co/datasets/Ryukijano/Anime_finetuning using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Base model
stabilityai/stable-diffusion-xl-base-1.0