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igastesi
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model_ohwx

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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("igastesi/model_ohwx", dtype=torch.bfloat16, device_map="cuda")

prompt = "a photo of ohwx open window"
image = pipe(prompt).images[0]

DreamBooth - igastesi/model_ohwx

This is a dreambooth model derived from 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.

DreamBooth for the text encoder was enabled: False.

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