How to use from the
Use from the
Diffusers library
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]

LoRA DreamBooth - Ryukijano/lora-trained-xl-kaggle-p100

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.

Downloads last month
8
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Ryukijano/lora-trained-xl-kaggle-p100

Adapter
(9690)
this model

Dataset used to train Ryukijano/lora-trained-xl-kaggle-p100

Spaces using Ryukijano/lora-trained-xl-kaggle-p100 2

Collection including Ryukijano/lora-trained-xl-kaggle-p100