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anvilarth
/
sdxl-t5-encoder

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Diffusers
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stable-diffusion-xl
t5
vision-language
diffusion
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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("anvilarth/sdxl-t5-encoder", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

sdxl-t5-encoder

Stable Diffusion XL (SDXL) fine-tuned with a umT5-XXL text encoder to boost compositional prompt understanding and reduce mis-interpretations.

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