move files

unet/nesting_level_2/config.json

@@ -0,0 +1,173 @@
+{
+  "_class_name": "NestedUNet2DConditionModel",
+  "_diffusers_version": "0.31.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": "matryoshka",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": 8,
+  "attention_pre_only": false,
+  "attention_type": "default",
+  "block_out_channels": [
+    32,
+    32,
+    64
+  ],
+  "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",
+    "DownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": false,
+  "freq_shift": 0,
+  "in_channels": 3,
+  "initialize_inner_with_pretrained": null,
+  "inner_config": {
+    "addition_embed_type": "matryoshka",
+    "block_out_channels": [
+      64,
+      128,
+      256
+    ],
+    "cross_attention_dim": 2048,
+    "down_block_types": [
+      "DownBlock2D",
+      "DownBlock2D",
+      "DownBlock2D"
+    ],
+    "flip_sin_to_cos": false,
+    "in_channels": 3,
+    "initialize_inner_with_pretrained": null,
+    "inner_config": {
+      "addition_embed_type": "matryoshka",
+      "block_out_channels": [
+        256,
+        512,
+        768
+      ],
+      "cross_attention_dim": 2048,
+      "down_block_types": [
+        "DownBlock2D",
+        "CrossAttnDownBlock2D",
+        "CrossAttnDownBlock2D"
+      ],
+      "encoder_hid_dim": 2048,
+      "encoder_hid_dim_type": "text_proj",
+      "flip_sin_to_cos": false,
+      "in_channels": 3,
+      "layers_per_block": [
+        2,
+        2,
+        2
+      ],
+      "masked_cross_attention": false,
+      "micro_conditioning_scale": 64,
+      "mid_block_type": "UNetMidBlock2DCrossAttn",
+      "nesting": true,
+      "out_channels": 3,
+      "resnet_time_scale_shift": "scale_shift",
+      "temporal_mode": false,
+      "temporal_spatial_ds": false,
+      "time_embedding_dim": 1024,
+      "transformer_layers_per_block": [
+        0,
+        1,
+        5
+      ],
+      "up_block_types": [
+        "CrossAttnUpBlock2D",
+        "CrossAttnUpBlock2D",
+        "UpBlock2D"
+      ],
+      "use_attention_ffn": true
+    },
+    "layers_per_block": [
+      2,
+      2,
+      1
+    ],
+    "masked_cross_attention": true,
+    "micro_conditioning_scale": 256,
+    "mid_block_type": null,
+    "nesting": true,
+    "out_channels": 3,
+    "resnet_time_scale_shift": "scale_shift",
+    "skip_inner_unet_input": false,
+    "skip_normalization": false,
+    "temporal_mode": false,
+    "temporal_spatial_ds": false,
+    "time_embedding_dim": 1024,
+    "transformer_layers_per_block": [
+      0,
+      0,
+      0
+    ],
+    "up_block_types": [
+      "UpBlock2D",
+      "UpBlock2D",
+      "UpBlock2D"
+    ],
+    "use_attention_ffn": false
+  },
+  "is_temporal": null,
+  "layers_per_block": [
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+    1
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+  "masked_cross_attention": true,
+  "micro_conditioning_scale": 1024,
+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": null,
+  "nest_ratio": null,
+  "nesting": false,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "norm_type": "layer_norm",
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 3,
+  "projection_class_embeddings_input_dim": null,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "scale_shift",
+  "reverse_transformer_layers_per_block": null,
+  "sample_size": null,
+  "skip_cond_emb": false,
+  "skip_inner_unet_input": false,
+  "skip_normalization": true,
+  "temporal_mode": false,
+  "temporal_spatial_ds": false,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": 1024,
+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": [
+    0,
+    0,
+    0
+  ],
+  "up_block_types": [
+    "UpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_attention_ffn": false,
+  "use_linear_projection": false
+}

unet/nesting_level_2/diffusion_pytorch_model.fp16.safetensors

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