Update 1500.yaml

1500.yaml

@@ -25,9 +25,9 @@ model:
         in_channels: 4
         hint_channels: 3
         model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
+        attention_resolutions: [4, 2, 1]
         num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
+        channel_mult: [1, 2, 4, 4]
         num_heads: 8
         use_spatial_transformer: True
         transformer_depth: 1
@@ -42,9 +42,9 @@ model:
         in_channels: 4
         out_channels: 4
         model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
+        attention_resolutions: [4, 2, 1]
         num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
+        channel_mult: [1, 2, 4, 4]
         num_heads: 8
         use_spatial_transformer: True
         transformer_depth: 1
@@ -65,10 +65,10 @@ model:
           out_ch: 3
           ch: 128
           ch_mult:
-          - 1
-          - 2
-          - 4
-          - 4
+            - 1
+            - 2
+            - 4
+            - 4
           num_res_blocks: 2
           attn_resolutions: []
           dropout: 0.0
@@ -77,3 +77,29 @@ model:
 
     cond_stage_config:
       target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+      params:
+        _class_name: ControlNetModel
+        _diffusers_version: "0.18.0.dev0"
+        act_fn: silu
+        attention_head_dim: 8
+        block_out_channels: [320, 640, 1280, 1280]
+        class_embed_type: null
+        conditioning_embedding_out_channels: [16, 32, 96, 256]
+        controlnet_conditioning_channel_order: rgb
+        cross_attention_dim: 768
+        down_block_types: ["CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D"]
+        downsample_padding: 1
+        flip_sin_to_cos: true
+        freq_shift: 0
+        global_pool_conditions: false
+        in_channels: 4
+        layers_per_block: 2
+        mid_block_scale_factor: 1
+        norm_eps: 1e-05
+        norm_num_groups: 32
+        num_class_embeds: null
+        only_cross_attention: false
+        projection_class_embeddings_input_dim: null
+        resnet_time_scale_shift: "default"
+        upcast_attention: false
+        use_linear_projection: false