anifusion_unet / vqvae /config.json
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First version of the model
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{
"_class_name": "VQModel",
"_diffusers_version": "0.2.4",
"act_fn": "silu",
"block_out_channels": [
128,
128,
256,
512
],
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"in_channels": 3,
"latent_channels": 3,
"layers_per_block": 2,
"num_vq_embeddings": 8192,
"out_channels": 3,
"sample_size": 512,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}