Upload vae_encoder/config.json with huggingface_hub
Browse files- vae_encoder/config.json +65 -0
vae_encoder/config.json
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{
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"_class_name": "AutoencoderKL",
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"_commit_hash": null,
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"_diffusers_version": "0.28.2",
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"_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
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"_use_default_values": [
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"force_upcast",
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"scaling_factor",
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"latents_mean",
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"latents_std"
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],
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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512,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 4,
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"latents_mean": null,
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"latents_std": null,
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"layers_per_block": 2,
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"neuron": {
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"auto_cast": "matmul",
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"auto_cast_type": "bf16",
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.14.227.0+2d4f85be",
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"dynamic_batch_size": false,
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"inline_weights_to_neff": true,
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"input_names": [
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"sample"
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],
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"model_type": "vae-encoder",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"latent_sample"
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],
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"static_batch_size": 1,
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"static_height": 768,
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"static_num_channels": 3,
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"static_width": 768
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},
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 768,
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"scaling_factor": 0.18215,
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"task": "semantic-segmentation",
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"transformers_version": null,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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