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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",
"type" : "MultiArray"
}
],
"version" : "diffusers\/stable-diffusion-xl-base-1.0",
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"author" : "Please refer to the Model Card available at huggingface.co\/diffusers\/stable-diffusion-xl-base-1.0",
"specificationVersion" : 7,
"storagePrecision" : "Mixed (Float16, Palettized (1 bits), Palettized (2 bits), Palettized (4 bits), Palettized (6 bits), Palettized (8 bits))",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
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"Ios16.gelu" : 70,
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"isUpdatable" : "0",
"availability" : {
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"tvOS" : "16.0",
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"watchOS" : "9.0",
"iOS" : "16.0",
"macCatalyst" : "16.0"
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"formattedType" : "MultiArray (Float16 2 × 4 × 128 × 128)",
"shortDescription" : "The low resolution latent feature maps being denoised through reverse diffusion",
"shape" : "[2, 4, 128, 128]",
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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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"generatedClassName" : "recipe_4_50_bit_mixedpalette",
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