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consistency decoder
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docs/source/en/_toctree.yml

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title: AsymmetricAutoencoderKL
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- local: api/models/autoencoder_tiny
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title: Tiny AutoEncoder
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- local: api/models/consistency_decoder_vae
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title: ConsistencyDecoderVae
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- local: api/models/transformer2d
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title: Transformer2D
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- local: api/models/transformer_temporal
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title: Overview
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- local: api/schedulers/cm_stochastic_iterative
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title: CMStochasticIterativeScheduler
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- local: api/schedulers/consistency_decoder
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title: ConsistencyDecoderScheduler
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- local: api/schedulers/ddim_inverse
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title: DDIMInverseScheduler
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- local: api/schedulers/ddim
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# Consistency Decoder
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Consistency decoder can be used to decode the latents from the denoising UNet in the [`StableDiffusionPipeline`]. This decoder was introduced in the [DALL-E 3 technical report](https://openai.com/dall-e-3).
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The original codebase can be found at [openai/consistencydecoder](https://github.com/openai/consistencydecoder).
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<Tip warning={true}>
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Inference is only supported for 2 iterations as of now.
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</Tip>
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## ConsistencyDecoderVae
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[[autodoc]] ConsistencyDecoderVae
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- all
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- decode
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# ConsistencyDecoderScheduler
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This scheduler is a part of the [`ConsistencyDecoderPipeline`] and was introduced in [DALL-E 3](https://openai.com/dall-e-3).
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The original codebase can be found at [openai/consistency_models](https://github.com/openai/consistency_models).
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## ConsistencyDecoderScheduler
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[[autodoc]] ConsistencyDecoderScheduler
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## ConsistencyDecoderScheduler
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[[autodoc]] schedulers.scheduling_consistency_decoder.ConsistencyDecoderScheduler

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