madebyollin/taesdxl

🤗 Hugging Face sourcemit2M params10 MBsafetensors✓ 4 checksumsupdated today

Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo madebyollin/taesdxl ./model-folder

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🍰 Tiny AutoEncoder for Stable Diffusion (XL)

TAESDXL is very tiny autoencoder which uses the same "latent API" as SDXL-VAE. TAESDXL is useful for real-time previewing of the SDXL generation process.

This repo contains .safetensors versions of the TAESDXL weights.

For SD1.x / SD2.x, use TAESD instead (the SD and SDXL VAEs are incompatible).

Using in 🧨 diffusers

import torch
from diffusers import DiffusionPipeline, AutoencoderTiny

pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
)
pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesdxl", torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "slice of delicious New York-style cheesecake topped with berries, mint, chocolate crumble"
image = pipe(prompt, num_inference_steps=50, generator=torch.Generator("cpu").manual_seed(0x7A35D)).images[0]
image.save("cheesecake_sdxl.png")