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sally9805
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saved_model

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

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("sally9805/saved_model", dtype=torch.bfloat16, device_map="cuda")

prompt = "a photo of sks dog"
image = pipe(prompt).images[0]

DreamBooth - sally9805/saved_model

This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.

DreamBooth for the text encoder was enabled: True.

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