import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("aphexblake/200-msf-v2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("aphexblake/sunset")
prompt = "Sunset"
image = pipe(prompt).images[0]LoRA DreamBooth - sunset
These are LoRA adaption weights for aphexblake/200-msf-v2. The weights were trained on the instance prompt "Sunset" using DreamBooth. You can find some example images in the following.
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Base model
aphexblake/200-msf-v2