Upload unet/config.json with huggingface_hub
Browse files- unet/config.json +62 -0
unet/config.json
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.27.2",
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": null,
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"attn_norm_num_groups": null,
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"block_out_channels": [
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128,
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128,
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256,
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256,
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256,
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256,
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256
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],
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"center_input_sample": true,
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"class_embed_type": null,
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"decay": 0.9999,
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"down_block_types": [
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"AttnDownBlock2D",
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"DownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"downsample_type": "conv",
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"dropout": 0.0,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 3,
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"inv_gamma": 1.0,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1.41421356237,
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"min_decay": 0.0,
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"norm_eps": 1e-06,
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"num_train_timesteps": null,
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"optimization_step": 130000,
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"out_channels": 3,
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"power": 0.6666666666666666,
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"resnet_time_scale_shift": "default",
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"sample_size": 64,
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"set_W_to_weight": false,
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"time_embedding_type": "fourier",
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"up_block_types": [
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"UpBlock2D",
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"UpBlock2D",
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"AttnUpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D"
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],
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"update_after_step": 0,
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"upsample_type": "conv",
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"use_ema_warmup": false
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}
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