import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("xbesing/output_nft")
prompt = "nftmonkey"
image = pipe(prompt).images[0]LoRA DreamBooth - xbesing/output_nft
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on nftmonkey using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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stabilityai/stable-diffusion-2-1-base