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Sponsored by
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openai / consistency-decoder
Model's Last Updated: November 09 2023
Introduction of consistency-decoder
Model Details of consistency-decoder
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 🧨 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
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Runs of openai consistency-decoder on huggingface.co
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More Information About consistency-decoder huggingface.co Model
Url of consistency-decoder
consistency-decoder huggingface.co Url
Provider of consistency-decoder huggingface.co
Other API from openai
Updated:February 29 2024
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