Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
stable-diffusion-xl-turbo
dreamshaper
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-xl-turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("orrinj/janeycatbase2")
prompt = "ds_ja_ct_1"
image = pipe(prompt).images[0]I tried making this lora using a different base model, not sure how well it worked though! "janeycat girl" should be the prompt, ds_ja_ct_1 instance.
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Model tree for orrinj/janeycatbase2
Base model
Lykon/dreamshaper-xl-turbo