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("mcvertix/dreembooth_output")
prompt = "penvink laying and standing on the stony ground, with arctic landscape in the background"
image = pipe(prompt).images[0]LoRA DreamBooth - mcvertix/dreembooth_output
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on penvink laying and standing on the stony ground, with arctic landscape in the background using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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