lcm-sdxl-neuronx / unet /config.json
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{
"_class_name": "UNet2DConditionModel",
"_commit_hash": null,
"_diffusers_version": "0.23.0",
"_name_or_path": "latent-consistency/lcm-sdxl",
"act_fn": "silu",
"addition_embed_type": "text_time",
"addition_embed_type_num_heads": 64,
"addition_time_embed_dim": 256,
"attention_head_dim": [
5,
10,
20
],
"attention_type": "default",
"block_out_channels": [
320,
640,
1280
],
"center_input_sample": false,
"class_embed_type": null,
"class_embeddings_concat": false,
"conv_in_kernel": 3,
"conv_out_kernel": 3,
"cross_attention_dim": 2048,
"cross_attention_norm": null,
"down_block_types": [
"DownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D"
],
"downsample_padding": 1,
"dropout": 0.0,
"dual_cross_attention": false,
"encoder_hid_dim": null,
"encoder_hid_dim_type": null,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 4,
"layers_per_block": 2,
"mid_block_only_cross_attention": null,
"mid_block_scale_factor": 1,
"mid_block_type": "UNetMidBlock2DCrossAttn",
"model_type": "unet",
"neuron": {
"auto_cast": "matmul",
"auto_cast_type": "bf16",
"compiler_type": "neuronx-cc",
"compiler_version": "2.11.0.34+c5231f848",
"disable_fallback": false,
"disable_fast_relayout": false,
"dynamic_batch_size": false,
"input_names": [
"sample",
"timestep",
"encoder_hidden_states",
"text_embeds",
"time_ids",
"timestep_cond"
],
"output_names": [
"sample"
],
"static_batch_size": 1,
"static_height": 128,
"static_num_channels": 4,
"static_sequence_length": 77,
"static_width": 128
},
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_attention_heads": null,
"num_class_embeds": null,
"only_cross_attention": false,
"out_channels": 4,
"projection_class_embeddings_input_dim": 2816,
"resnet_out_scale_factor": 1.0,
"resnet_skip_time_act": false,
"resnet_time_scale_shift": "default",
"reverse_transformer_layers_per_block": null,
"sample_size": 128,
"task": "semantic-segmentation",
"time_cond_proj_dim": 256,
"time_embedding_act_fn": null,
"time_embedding_dim": null,
"time_embedding_type": "positional",
"timestep_post_act": null,
"transformer_layers_per_block": [
1,
2,
10
],
"transformers_version": null,
"up_block_types": [
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"UpBlock2D"
],
"upcast_attention": null,
"use_linear_projection": true
}