import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("daeunni/teddybear")
prompt = "a photo of sks teddybear"
image = pipe(prompt).images[0]LoRA DreamBooth - danaleee/teddybear
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks teddybear using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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