Upload unet/config.json with huggingface_hub
Browse files- unet/config.json +104 -0
unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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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--sd-community--sdxl-flash/snapshots/e34c99ffd7d7e8da501fef94e7119f65dd8ee542/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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5,
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10,
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20
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],
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"attention_type": "default",
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"block_out_channels": [
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320,
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640,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 2048,
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"cross_attention_norm": null,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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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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"timestep",
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"encoder_hidden_states",
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"text_embeds",
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"time_ids"
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],
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"model_type": "unet",
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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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"sample"
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],
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"static_batch_size": 1,
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"static_height": 128,
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"static_num_channels": 4,
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"static_sequence_length": 77,
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"static_vae_scale_factor": 8,
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"static_width": 128
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},
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 2816,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 128,
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"task": "semantic-segmentation",
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": [
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1,
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2,
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10
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],
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"transformers_version": null,
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"up_block_types": [
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"UpBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": true
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}
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