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[
{
"shortDescription" : "Stable Diffusion generates images conditioned on text or other images as input through the diffusion process. Please refer to https:\/\/arxiv.org\/abs\/2112.10752 for details.",
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"shortDescription" : "Same shape and dtype as the `sample` input. The predicted noise to facilitate the reverse diffusion (denoising) process",
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"name" : "noise_pred",
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],
"version" : "stabilityai\/stable-diffusion-2-1-base",
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"author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-2-1-base",
"specificationVersion" : 7,
"storagePrecision" : "Mixed (Float16, Palettized (6 bits))",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
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"Ios16.realDiv" : 61,
"Ios16.square" : 61,
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"Ios16.constexprLutToDense" : 310,
"Ios16.gelu" : 16,
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"shortDescription" : "The low resolution latent feature maps being denoised through reverse diffusion",
"shape" : "[2, 4, 64, 64]",
"name" : "sample",
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},
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"shortDescription" : "A value emitted by the associated scheduler object to condition the model on a given noise schedule",
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"shortDescription" : "Output embeddings from the associated text_encoder model to condition to generated image on text. A maximum of 77 tokens (~40 words) are allowed. Longer text is truncated. Shorter text does not reduce computation.",
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