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("sohug/lora_db_bed")
prompt = "a photo of hatil bed"
image = pipe(prompt).images[0]LoRA DreamBooth - sohug/lora_db_bed
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of hatil bed using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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