import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/Genuine", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Pixel390/BOYV1demo")
prompt = "a uxz high quality, anime style, a boy"
image = pipe(prompt).images[0]LoRA DreamBooth - Pixel390/BOYV1demo
These are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a boy using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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