Diffusers
Safetensors
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("lint/anime_vae", dtype=torch.bfloat16, device_map="cuda")

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

VAE for anime style checkpoints

Converted pastel-waifu-diffusion.vae.pt in https://huggingface.co/andite/pastel-mix to diffusers format.

Example usage

from diffusers import AutoencoderKL, StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained(
    pretrained_model_name_or_path='andite/anything-v4.0',
    vae = AutoencoderKL.from_pretrained('lint/anime_vae')
)

for component in pipe.components.values():
    if hasattr(component, 'device'):
        component.to('cuda', torch.float16)

out = pipe('1girl, blue eyes')
out.images[0]
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