import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("mathieuripert/tolmer-model")
prompt = "A painting from Michel Tolmer"
image = pipe(prompt).images[0]LoRA DreamBooth - mathieuripert/tolmer-model
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on A painting from Michel Tolmer using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
- Downloads last month
- 3
Model tree for mathieuripert/tolmer-model
Base model
stabilityai/stable-diffusion-2-1