Upload imagedream/configs/sd_v2_base_ipmv.yaml with huggingface_hub

imagedream/configs/sd_v2_base_ipmv.yaml

@@ -1,61 +1,61 @@
-model:
-  target: imagedream.ldm.interface.LatentDiffusionInterface
-  params:
-    linear_start: 0.00085
-    linear_end: 0.0120
-    timesteps: 1000
-    scale_factor: 0.18215
-    parameterization: "eps"
-
-    unet_config:
-      target: imagedream.ldm.modules.diffusionmodules.openaimodel.MultiViewUNetModel
-      params:
-        image_size: 32 # unused
-        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_head_channels: 64 # need to fix for flash-attn
-        use_spatial_transformer: True
-        use_linear_in_transformer: True
-        transformer_depth: 1
-        context_dim: 1024
-        use_checkpoint: False
-        legacy: False
-        camera_dim: 16
-        with_ip: True
-        ip_dim: 16 # ip token length
-        ip_mode: "local_resample"
-
-    vae_config:
-      target: imagedream.ldm.models.autoencoder.AutoencoderKL
-      params:
-        embed_dim: 4
-        monitor: val/rec_loss
-        ddconfig:
-          #attn_type: "vanilla-xformers"
-          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
-
-    clip_config:
-      target: imagedream.ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
-      params:
-        freeze: True
-        layer: "penultimate"
-        ip_mode: "local_resample"
+model:
+  target: imagedream.ldm.interface.LatentDiffusionInterface
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    timesteps: 1000
+    scale_factor: 0.18215
+    parameterization: "eps"
+
+    unet_config:
+      target: imagedream.ldm.modules.diffusionmodules.openaimodel.MultiViewUNetModel
+      params:
+        image_size: 32 # unused
+        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_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        use_checkpoint: False
+        legacy: False
+        camera_dim: 16
+        with_ip: True
+        ip_dim: 16 # ip token length
+        ip_mode: "local_resample"
+
+    vae_config:
+      target: imagedream.ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          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
+
+    clip_config:
+      target: imagedream.ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"
+        ip_mode: "local_resample"