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Upload config.json with huggingface_hub

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  1. config.json +90 -25
config.json CHANGED
@@ -1,30 +1,77 @@
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  {
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- "_class_name": "AutoencoderKL",
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  "_commit_hash": null,
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  "_diffusers_version": "0.21.0.dev0",
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- "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1-base/snapshots/5ede9e4bf3e3fd1cb0ef2f7a3fff13ee514fdf06/vae",
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  "_use_default_values": [
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- "scaling_factor",
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- "force_upcast"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  "layers_per_block": 2,
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- "model_type": "vae-decoder",
 
 
 
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  "neuron": {
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  "auto_cast": null,
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  "auto_cast_type": null,
@@ -32,7 +79,9 @@
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  "compiler_version": "2.8.0.25+a3ad0f342",
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  "dynamic_batch_size": false,
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  "input_names": [
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- "latent_sample"
 
 
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  ],
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  "output_names": [
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  "sample"
@@ -40,17 +89,33 @@
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  "static_batch_size": 1,
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  "static_height": 64,
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  "static_num_channels": 4,
 
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  "static_width": 64
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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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  "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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  {
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+ "_class_name": "UNet2DConditionModel",
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  "_commit_hash": null,
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  "_diffusers_version": "0.21.0.dev0",
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+ "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1-base/snapshots/5ede9e4bf3e3fd1cb0ef2f7a3fff13ee514fdf06/unet",
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  "_use_default_values": [
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+ "conv_in_kernel",
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+ "mid_block_type",
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+ "projection_class_embeddings_input_dim",
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+ "cross_attention_norm",
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+ "addition_time_embed_dim",
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+ "addition_embed_type_num_heads",
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+ "class_embed_type",
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+ "mid_block_only_cross_attention",
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+ "encoder_hid_dim",
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+ "resnet_out_scale_factor",
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+ "time_cond_proj_dim",
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+ "conv_out_kernel",
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+ "attention_type",
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+ "resnet_skip_time_act",
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+ "transformer_layers_per_block",
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+ "time_embedding_type",
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+ "time_embedding_act_fn",
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+ "addition_embed_type",
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+ "encoder_hid_dim_type",
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+ "class_embeddings_concat",
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+ "upcast_attention",
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+ "num_attention_heads",
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+ "resnet_time_scale_shift",
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+ "timestep_post_act",
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+ "time_embedding_dim"
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  ],
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  "act_fn": "silu",
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+ "addition_embed_type": null,
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+ "addition_embed_type_num_heads": 64,
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+ "addition_time_embed_dim": null,
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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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+ 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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+ 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": 1024,
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+ "cross_attention_norm": null,
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  "down_block_types": [
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D",
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+ "DownBlock2D"
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  ],
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+ "downsample_padding": 1,
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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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+ "model_type": "unet",
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  "neuron": {
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  "auto_cast": null,
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  "auto_cast_type": null,
 
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  "compiler_version": "2.8.0.25+a3ad0f342",
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  "dynamic_batch_size": false,
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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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  ],
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  "output_names": [
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  "sample"
 
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  "static_batch_size": 1,
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  "static_height": 64,
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  "static_num_channels": 4,
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+ "static_sequence_length": 77,
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  "static_width": 64
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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": null,
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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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+ "sample_size": 64,
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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": 1,
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  "transformers_version": null,
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  "up_block_types": [
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+ "UpBlock2D",
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+ "CrossAttnUpBlock2D",
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+ "CrossAttnUpBlock2D",
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+ "CrossAttnUpBlock2D"
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+ ],
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+ "upcast_attention": false,
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+ "use_linear_projection": true
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  }