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("eristotelian/milora1")
prompt = "milora"
image = pipe(prompt).images[0]LoRA DreamBooth - eristotelian/model_output
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on milora using DreamBooth. You can find some example images in the following.
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Model tree for eristotelian/milora1
Base model
runwayml/stable-diffusion-v1-5