Consistency Decoder
This is a decoder that can be used to improve decoding for Stable Diffusion VAEs. To know more, refer to the DALL-E 3 technical report.
To original code repository can be found here.
Usage in 𧨠diffusers
import torch
from diffusers import DiffusionPipeline, ConsistencyDecoderVAE
vae = ConsistencyDecoderVAE.from_pretrained("openai/consistency-decoder", torch_dtype=pipe.torch_dtype)
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", vae=vae, torch_dtype=torch.float16
).to("cuda")
pipe("horse", generator=torch.manual_seed(0)).images
Results
(Taken from the original code repository)
Examples
- Downloads last month
- 224
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this modelβs pipeline type.