import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("eramth/sdxl-vae-memory-efficient", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]A memory-efficient SDXL VAE that saves about 3GB of RAM with almost no loss of image quality during VAE decoding.
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