Update workflows, fix IS_CHANGED

Add pyproject.toml for Custom Node Registry

.github/workflows/publish.yml

@@ -0,0 +1,21 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

nodes.py

@@ -250,6 +250,7 @@ class ADMD_InitializeTraining:
             [   
                 'Lion',
                 'AdamW',
+                'prodigy'
             ], {
                "default": 'Lion'
             }),
@@ -336,6 +337,14 @@ class ADMD_InitializeTraining:
             if optimization_method == "AdamW":   
                 print("Using AdamW optimizer for training") 
                 optimizer = torch.optim.AdamW
+            elif optimization_method == "Prodigy":
+                try:
+                    import prodigyopt
+                except ImportError:
+                    raise ImportError("Prodigy not installed")
+
+                print(f"use Prodigy optimizer")
+                optimizer = prodigyopt.Prodigy
             else:
                 print("Using Lion optimizer for training")
                 optimizer = Lion
@@ -404,12 +413,7 @@ class ADMD_InitializeTraining:
             lr_scheduler_spatial_list.append(lr_scheduler_spatial)
            
             # Support mixed-precision training
-            if 'scaler' not in globals():
-                scaler = torch.cuda.amp.GradScaler()
-                print("initialize scaler")
-            else:
-                scaler.reset()
-                print("reset scaler")
+            scaler = torch.cuda.amp.GradScaler()
 
         admd_pipeline = {
             "optimizer_temporal": optimizer_temporal,
@@ -584,7 +588,7 @@ class ADMD_DiffusersLoader:
 class ADMD_CheckpointLoader:
     @classmethod
     def IS_CHANGED(s):
-        return ""
+        return float("nan")
     @classmethod
     def INPUT_TYPES(cls):
 
@@ -713,7 +717,7 @@ class ADMD_CheckpointLoader:
 class ADMD_ComfyModelLoader:
     @classmethod
     def IS_CHANGED(s):
-        return ""
+        return float("nan")
     @classmethod
     def INPUT_TYPES(cls):
 
@@ -746,7 +750,7 @@ class ADMD_ComfyModelLoader:
             original_config = OmegaConf.load(os.path.join(script_directory, f"configs/v1-inference.yaml"))
             ad_unet_config = OmegaConf.load(os.path.join(script_directory, f"configs/ad_unet_config.yaml"))
 
-            from diffusers.loaders.single_file_utils import (convert_ldm_vae_checkpoint, convert_ldm_unet_checkpoint, create_text_encoder_from_ldm_clip_checkpoint, create_vae_diffusers_config, create_unet_diffusers_config)
+            from .single_file_utils import (convert_ldm_vae_checkpoint, convert_ldm_unet_checkpoint, create_text_encoder_from_ldm_clip_checkpoint, create_vae_diffusers_config, create_unet_diffusers_config)
 
             tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-large-patch14")
 

pyproject.toml

@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-admotiondirector"
+description = "This is a trainer for AnimateDiff MotionLoRAs, based on the implementation of MotionDirector by ExponentialML."
+version = "1.0.0"
+license = "Apache-2.0"
+dependencies = ["diffusers>=0.26.2", "huggingface_hub>=0.20.3", "transformers>=4.37.2", "loralib", "einops", "omegaconf", "lion-pytorch", "peft", "imageio>=2.33.1", "imageio-ffmpeg>=0.4.7"]
+
+[project.urls]
+Repository = "https://github.com/kijai/ComfyUI-ADMotionDirector"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "kijai"
+DisplayName = "ComfyUI-ADMotionDirector"
+Icon = ""

requirements.txt

@@ -1,6 +1,6 @@
-diffusers==0.26.2
+diffusers>=0.27.2
 huggingface_hub>=0.20.3
-transformers==4.37.2
+transformers>=4.37.2
 loralib
 einops
 omegaconf