Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
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("orrinj/janeycatbaseLoRA")
prompt = "janeycat girl, looking to side, smile"
image = pipe(prompt).images[0]This is a hopefully properly built base LoRA (equivalent to the first lora stage suggested in this guide https://blib.la/blog/mastering-character-consistency-in-stable-diffusion-sdxl-a-detailed-guide)
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Model tree for orrinj/janeycatbaseLoRA
Base model
stabilityai/stable-diffusion-xl-base-1.0