import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ostris/sdxl-sd1-vae-lora")
prompt = "photo in the sd1 latent space"
image = pipe(prompt).images[0]SDXL SD1/2 VAE LoRA
This LoRA converts SDXL models to use the SD1/2 latent space. More info coming soon.
I recommend using this VAE with this LoRA sd-vae-ft-mse-original
Examples
Coming Soon
How to Use
Coming soon
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Base model
stabilityai/stable-diffusion-xl-base-1.0