import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realistic-vision-51", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("sean-styleai/lds-w100")
prompt = "hta, photograph, woman"
image = pipe(prompt).images[0]LoRA DreamBooth - sean-styleai/lds-w100
These are LoRA adaption weights for stablediffusionapi/realistic-vision-51. The weights were trained on hta, photograph, woman using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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