openai/consistencydecoder

openai/consistencydecoder

Description: Consistency Distilled Diff VAE

Language: Python

License: MIT

Stars: 2214

Forks: 80

Open issues: 19

Created: 2023-11-02T13:06:36Z

Pushed: 2023-11-07T11:21:38Z

Default branch: main

Fork: no

Archived: yes

README:

Consistency Decoder

[[DALL·E 3]](https://openai.com/dall-e-3) [[Improving Image Generation with Better Captions]](https://cdn.openai.com/papers/dall-e-3.pdf) [[Consistency Models]](https://arxiv.org/abs/2303.01469)

Improved decoding for stable diffusion vaes.

Installation

$ pip install git+https://github.com/openai/consistencydecoder.git

Usage

import torch
from diffusers import StableDiffusionPipeline
from consistencydecoder import ConsistencyDecoder, save_image, load_image

# encode with stable diffusion vae
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, device="cuda:0"
)
pipe.vae.cuda()
decoder_consistency = ConsistencyDecoder(device="cuda:0") # Model size: 2.49 GB

image = load_image("assets/gt1.png", size=(256, 256), center_crop=True)
latent = pipe.vae.encode(image.half().cuda()).latent_dist.mean

# decode with gan
sample_gan = pipe.vae.decode(latent).sample.detach()
save_image(sample_gan, "gan.png")

# decode with vae
sample_consistency = decoder_consistency(latent)
save_image(sample_consistency, "con.png")

Examples

Original Image | GAN Decoder | Consistency Decoder | :---:|:---:|:---:|  |  |  |  |  |  |  |  |  |