import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V2.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("igastesi/model_ohwx_filtered")
prompt = "a photo of ohwx open window"
image = pipe(prompt).images[0]LoRA DreamBooth - igastesi/model_ohwx_filtered
These are LoRA adaption weights for SG161222/Realistic_Vision_V2.0. The weights were trained on a photo of ohwx open window using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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