Create model_adapter_depth_config.yaml

model_adapter_depth_config.yaml

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+model:
+  target: lvdm.models.ddpm3d.T2VAdapterDepth
+  params:
+    linear_start: 0.00085
+    linear_end: 0.012
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: video
+    cond_stage_key: caption
+    image_size:
+    - 32
+    - 32
+    video_length: 16
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    scale_by_std: false
+    scale_factor: 0.18215
+
+    unet_config:
+      target: lvdm.models.modules.openaimodel3d.UNetModel
+      params:
+        image_size: 32
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions:
+        - 4
+        - 2
+        - 1
+        num_res_blocks: 2
+        channel_mult:
+        - 1
+        - 2
+        - 4
+        - 4
+        num_heads: 8
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: true
+        legacy: false
+        kernel_size_t: 1
+        padding_t: 0
+        temporal_length: 16
+        use_relative_position: true
+        
+    first_stage_config:
+      target: lvdm.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: lvdm.models.modules.condition_modules.FrozenCLIPEmbedder
+      
+    depth_stage_config:
+      target: extralibs.midas.api.MiDaSInference
+      params:
+        model_type: "dpt_hybrid"
+        model_path: models/adapter_t2v_depth/dpt_hybrid-midas.pt
+
+    adapter_config:
+        target: lvdm.models.modules.adapter.Adapter
+        cond_name: depth
+        params:
+          cin: 64
+          channels: [320, 640, 1280, 1280]
+          nums_rb: 2
+          ksize: 1
+          sk: True
+          use_conv: False