import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("XpucT/Deliberate", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("satani/400")
prompt = "a pencil sketch in style02_V21_768_set05B style"
image = pipe(prompt).images[0]LoRA DreamBooth - satani/400
These are LoRA adaption weights for XpucT/Deliberate. The weights were trained on a pencil sketch in style02_V21_768_set05B style using DreamBooth. You can find some example images in the following.
- Downloads last month
- 2
Model tree for satani/400
Base model
XpucT/Deliberate