Consistency Decoder
[DALL·E 3] [Improving Image Generation with Better Captions] [Consistency Models]
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 |
|---|---|---|
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