Update configs/test_vitonhd.yaml

configs/test_vitonhd.yaml

@@ -1,90 +1,93 @@
-model:
-  base_learning_rate: 3e-05
-  target: ldm.models.diffusion.control.ControlLDM
-  params:
-    linear_start: 0.00085
-    linear_end: 0.0120
-    log_every_t: 200
-    timesteps: 1000
-    image_size: 64
-    channels: 4
-    u_cond_percent: 0.2
-    scale_factor: 0.18215
-    use_ema: False
-
-    control_stage_config:
-      target: ldm.models.diffusion.control.ControlNet
-      params:
-        use_checkpoint: True
-        in_channels: 9
-        hint_channels: 6
-        model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
-        num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
-        num_head_channels: 64
-        transformer_depth: 1
-        context_dim: 768
-
-    unet_config:
-      target: ldm.models.diffusion.control.ControlledUnetModel
-      params:
-        image_size: 32 # unused
-        in_channels: 9
-        out_channels: 4
-        model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
-        num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
-        num_heads: 8
-        use_spatial_transformer: True
-        transformer_depth: 1
-        context_dim: 768
-        use_checkpoint: True
-        legacy: False
-        add_conv_in_front_of_unet: False
-
-    first_stage_config:
-      target: ldm.models.autoencoder.AutoencoderKL
-      params:
-        embed_dim: 4
-        monitor: val/rec_loss
-        ddconfig:
-          double_z: true
-          z_channels: 4
-          resolution: 256
-          in_channels: 3
-          out_ch: 3
-          ch: 128
-          ch_mult:
-          - 1
-          - 2
-          - 4
-          - 4
-          num_res_blocks: 2
-          attn_resolutions: []
-          dropout: 0.0
-        lossconfig:
-          target: torch.nn.Identity
-
-    cond_stage_config:
-      target: ldm.modules.encoders.modules.FrozenCLIPImageEmbedder
-
-data:
-  target: test.DataModuleFromConfig
-  params:
-      batch_size: 1
-      wrap: False
-      test:
-          target: ldm.data.image_vitonhd.OpenImageDataset
-          params:
-              state: test
-              dataset_dir: datasets/vitonhd
-              type: unpaired
-
-lightning:
-  trainer:
-    num_nodes: 1
-    profiler: "simple"
-    accelerator: 'ddp'
+model:
+  base_learning_rate: 3e-05
+  target: ldm.models.diffusion.control.ControlLDM
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    log_every_t: 200
+    timesteps: 1000
+    image_size: 64
+    channels: 4
+    u_cond_percent: 0.2
+    scale_factor: 0.18215
+    use_ema: False
+
+    control_stage_config:
+      target: ldm.models.diffusion.control.ControlNet
+      params:
+        use_checkpoint: True
+        in_channels: 9
+        hint_channels: 6
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64
+        transformer_depth: 1
+        context_dim: 768
+
+    unet_config:
+      target: ldm.models.diffusion.control.ControlledUnetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 9
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+        add_conv_in_front_of_unet: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPImageEmbedder
+
+    condi_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPTextEmbedder
+
+data:
+  target: test.DataModuleFromConfig
+  params:
+      batch_size: 1
+      wrap: False
+      test:
+          target: ldm.data.image_vitonhd.OpenImageDataset
+          params:
+              state: test
+              dataset_dir: D:\Capstone_Project\datasets\vitonhd
+              type: unpaired
+
+lightning:
+  trainer:
+    num_nodes: 1
+    profiler: "simple"
+    accelerator: 'ddp'
     gpus: "0,1"