import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("quasar529/ft-sd15-class-instance2")
prompt = "an identification photo of iom man"
image = pipe(prompt).images[0]LoRA DreamBooth - MayIBorn/ft-sd15-class-instance2
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on an identification photo of iom man using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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