Update README.md

Update README.md

README.md

@@ -1,44 +1,205 @@
 # avatar-graph-comfyui
 
-This introduce a custom workflow on top of comfyui built for avatar-graph.
+![image](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270574817-201a005b-7e00-4671-85a1-54937bf0704e.png)
+
+A custom nodes module for **creating real-time interactive avatars** powered by blender bpy mesh api + Avatech Shape Flow runtime.
+
+> **WARNING**  
+> We are still making changes to the nodes and demo templates, please stay tuned.
+
+# Demo
+
+| <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/12e2bfc6-438e-4d16-bead-9957ced3bae1" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=cce15b92-6d1c-4966-91b9-362d7833cb5d) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/0c497025-7ed5-4e25-b4d1-5a257e1ba814" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=42a8182f-b140-48c0-a556-35cddf0f76f7) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/a2bf71e3-0d9c-4ddd-957f-a6b0cb7e622a" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=7c23b8d6-d1a5-41c7-a084-250461dbef22) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/ad808c42-5297-4e61-8be8-d5cb7729d2ff" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=268b32c4-f9b9-4db8-a27c-a7e974f0f0ac) |
+|:---:|:---:|:---:|:---:|
+| <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/1d1ad8f9-31a6-48ec-bad2-ce972ee3b12f" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=f97fc5bb-93b0-4b02-bbc0-327dd41d0fc5) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/06958585-f780-4b38-8f5d-bddabd7da78a" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=4d50aa03-26e4-47e7-97b6-c3fe9d8fc96e) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/3d0e6b54-d45f-45ac-90bd-d8b149880f98" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=791014cb-7836-4641-afdb-ac331064b682) | <img src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/1d1ad8f9-31a6-48ec-bad2-ce972ee3b12f" width="186"/><br>[Interact 👆](https://editor.avatech.ai/viewer?avatarId=f97fc5bb-93b0-4b02-bbc0-327dd41d0fc5) |
+
+
+# How to?
+- [Basic Workflow Template](#basic-workflow-template)
+- [Best Practices for image input](#image-preprocess-guide)
+- [Custom Nodes List](#custom-nodes)
+- [Shape Flow](#shape-flow)
+- [Installation](#installation)
+- [Development](#development)
+- [Join Discord 💬](https://discord.gg/WNtBYksDwF)
+
+# Basic Workflow Template
+
+### Creating an eye blink and lipsync avatar
+
+> For optimal results, please input a character image with an open mouth and a minimum resolution of 768x768. This higher resolution will enable the tool to accurately recognize and work with facial features.
+> 
+> [💡Make your character mouth open Guide](#mouth-open-guide-inpaint) [💡Generate new image Guide](#character-gen-prompting-guide)
+
+![eye+mouth movement](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270634138-8a237b9d-05fc-4e4a-b802-6465911f0d77.png)
+Download: 📂[Template01 - Simple Shape Flow](https://github.com/avatechai/avatar-graph-comfyui/blob/main/workflow_templates/SimpleEye+MouthMovement.json)
+
+Download: 📂[Template01 - ControlNet Gen](https://github.com/avatechai/avatar-graph-comfyui/tree/main/workflow_templates/TemplateGen01)
+_If you don't want to modify any values in the custom nodes, you can download the ControlNet Gen Template to generate your own image._
+
+<details> 
+<summary> Template01 - Nodes Value Setting Guide </summary>
+
+## Template01 - Nodes Value Setting Guide
+
+> ### Basic Eyeblink & Talking
+> 1. Click **[Segmentation (SAM)]/ Edit prompt** button
+>    
+> 2. Add new layer and rename
+>
+> 3. Drag layer to **[Create Mesh Layer]/image**
+> 
+> 4. **[Create Mesh Layer]/ face_threshold, shape_threshold**, To control mesh threshold, recommend value: 0.6~0.7
+>    
+> 5. **[Create Mesh Layer]/ scale_x, scale_y, extrude_x, extrude_y**, To control mesh threshold, recommend value: 1.2~1.4
+>
+> 6. **[Modify Shape Key]/ rotate** Setting Reference, If Head tilted to the left, set a positive number angle 
+> 
+> |  <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/271264869-abf2a843-8ca5-44a6-9611-c334d55928d1.png" width="300"> |  <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/271264902-37658a8e-6f46-4c5b-bfd6-adec270df60b.png" width="300"> |  <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/271264910-0fae0c27-428d-4a5d-8296-6634c9717b95.png" width="300"> |  <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/271264920-4fea7882-cc51-4a5a-af9a-e66589810f92.png" width="300"> |
+> | --- | --- | --- | --- |
+> | 0 | 5 | -5 | -15 |
+
+</details>
+
+<details> 
+    
+<summary> Template01 - ControlNet Gen Guide </summary>
+
+Place normal and openpose image with reference to images.
+
+![image](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270943267-c3cae113-2df4-45f2-a19c-885cbee75450.png)
+    
+</details>
+
+
+    
+# Image Preprocess Guide
+
+### 💡If you want to generate a new character image
+> you can download this Template and refer to the Guide!
+> <details> 
+> <summary> Character Gen Prompting Guide </summary>
+>
+> # Character Gen Prompting Guide
+>> **🎯Notice**
+>> 
+>> We need a character image with an open mouth and enable the tool to easily recognize facial features, so please add to the prompt:
+>>
+>> ```looking at viewer, detailed face, open mouth, [smile], solo,eye-level angle```
+>  
+>![image](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270609114-acea9933-359b-4398-8d2a-582bf02bef99.png)
+> 
+> ### Download: 📂[Character Gen Template](https://github.com/avatechai/avatar-graph-comfyui/blob/main/workflow_templates/SimpleCharacterGen.json)
+> Feel free to change any checkpoint model that suits your needs.
+>  
+> </details>
+
+### 💡If you have a character image but it's not mouth open
+> you can download this Template and refer to the Guide!
+> <details> 
+> <summary> Mouth Open Guide (Inpaint) </summary>
+>
+> # Mouth Open Guide (Inpaint)
+> To maintain consistency with the base image, it is recommended to utilize a checkpoint model that aligns with its style.
+>
+> ![inpaint_workflow](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270589181-d11d840b-7ea6-4b47-bc26-a2af7c8c27a5.png)
+>
+> ### Download: 📂[MouthOpen Template](https://github.com/avatechai/avatar-graph-comfyui/blob/main/workflow_templates/MouthOpen_(inpaint).json)
+>
+> ### Inpaint Demonstration 
+>
+> <video src="https://github.com/avatechai/avatar-graph-comfyui/assets/73209427/e3b77295-a1bf-4d96-9551-7cc423a4af73"/>
+> 
+> ### Recommend Checkpoint Model List 
+> 
+> ##### Anime Style SD1.5
+>- https://civitai.com/models/35960/flat-2d-animerge
+>- https://civitai.com/models/24149/mistoonanime
+>- https://civitai.com/models/22364/kizuki-anime-hentai-checkpoint
+>##### Realistic Style SD1.5
+>- https://civitai.com/models/4201/realistic-vision-v51
+>- https://civitai.com/models/49463/am-i-real
+>- https://civitai.com/models/43331/majicmix-realistic
+> 
+> </details>
+
+# Custom Nodes
+Expand to see all the available nodes description
+Mesh Edit Nodes
+Shape Keys Nodes
+Avatar Output Nodes
+
+<details>
+<summary> Image Segmentation Nodes </summary>
+
+## Image Segmentation Nodes
+| Name                         | Description  | Preview |
+| ---------------------------- | ------------ | ------- |
+| `Segmentation (SAM)`         | Integrative SAM node allowing you to directly select and create multiple image segment output. | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270576351-8aabeba8-5450-4d39-8203-e91f9ab47190.png" width="300"> |
+
+</details>
+
+<details>
+<summary> Mesh Edit Nodes </summary>
+
+## Mesh Edit Nodes
+
+| Name                         | Description                                                                                           | Preview                                                                                                                        |
+| ---------------------------- | ----------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| `Create Mesh Layer`          | Create a mesh object from the input images (usually a segmented part of the entire image)             | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270576646-40740d25-9411-4cd3-a6c0-8b9008bca41c.png" width="300"> |
+| `Join Meshes`                | Combine multiple meshes into a single mesh object                                                     | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270577004-ba7afbc5-9cd5-4f97-9614-f71133f5783e.png" width="300"> |
+| `Match Texture Aspect Ratio` | Since the mesh is created in 1:1 aspect ratio, a re-scale is needed at the end of the operation       | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270602782-cb7155be-fb31-49f8-a24a-d001a1484ea7.png" width="300"> |
+| `Plane Texture Unwrap`       | Will perform mesh face fill and UV Cube project on the target plane mesh, scaled to bounds.           | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270603006-4b9c0cf5-0497-47bf-8e06-5a3370084c11.png" width="300"> |
+
+
+</details>
+
+<details>
+<summary> Shape Keys Nodes </summary>
+
+## Shape Keys Nodes
+| Name                         | Description                                                                                           | Preview                                                                                                                        |
+| ---------------------------- | ----------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| `Mesh Modify Shape Key`      | Given shape key name & target vertex_group, modify the vertex / all vertex’s transform                | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270577944-ab4f259c-89a7-4f51-bc54-fd179e252073.png" width="300"> |
+| `Create Shape Flow`          | Create runtime shape flow graph, allowing interactive inputs affecting shape keys value in runtime    | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270592752-abfdd801-0387-4c5d-9c11-6c23337ff1dd.png" width="300"> |
+
+</details>
+
+<details>
+<summary> Avatar Output Nodes </summary>
+
+## Avatar Output Nodes
+| Name                         | Description                                                                                           | Preview                                                                                                                        |
+| ---------------------------- | ----------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| `Avatar Main Output`         | The primary output of the .ava file. The embeded Avatar View will auto update with this node's output | <img src="https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270592519-6a9a8bb4-05ec-4a2e-98bf-194b6af3a62a.png" width="300"> |
+
+</details>
+
+
+
+# Shape Flow
+![image](https://avatech-avatar-dev1.nyc3.cdn.digitaloceanspaces.com/public-download/github-readme/270618471-a834e535-4f87-4b77-81a6-435e3a67ca4a.png)
 
 # Installation
 
+Clone the repository to custom_nodes in your [ComfyUI](https://github.com/comfyanonymous/ComfyUI) directory:
+
 1. `cd custom_nodes`
 
 2. `git clone https://github.com/avatechgg/avatar-graph-comfyui.git`
 
 3. Install deps `cd avatar-graph-comfyui && python -m pip install -r requirements.txt`
 
-4. Navigate to in your comfyui installation folder, open `comfyui/main.py` and add the following lines:
-```py
-def prompt_worker(q, server):
-    e = execution.PromptExecutor(server)
+4. Restart comfyui
 
-    # This is a workaround since using blender as a python module, the bpy module has to be imported after in the custom thread, otherwise it will cause a segfault if imported in the custom nodes.
-
-    # Add next line
-    import global_bpy
-
-    while True:
-        item, item_id = q.get()
-        # Add next line
-        global_bpy.reset_bpy()
-
-if __name__ == "__main__":
-    # Add next two lines 
-    import sys
-    sys.path.append(os.path.join(os.path.dirname(__file__), "custom_nodes", "avatar-graph-comfyui"))
-
-
-```
-
-5. Restart comfyui
-
-6. Run comfyui with enable-cors-header `python main.py --enable-cors-header` or (mac)`python main.py --force-fp16 --enable-cors-header`
+5. Run comfyui with enable-cors-header `python main.py --enable-cors-header` or (mac)`python main.py --force-fp16 --enable-cors-header`
 
 # Development
 
+<details>
+<summary> If you are interested in contributing expand to see development details </summary>
+
+
 For comfyui frontend extension, frontend js located at `avatar-graph-comfyui/js`
 
 Web stack used: [vanjs](https://github.com/vanjs-org/van) [tailwindcss](https://github.com/tailwindlabs/tailwindcss)
@@ -57,12 +218,19 @@ pnpm dev
 
 For each changes, simply refresh the comfyui page to see the changes.
 
-p.s. For tailwind autocomplete, add the following to your vscode settings.json.
-
+<details>
+<summary>p.s. For tailwind autocomplete, add the following to your vscode settings.json.</summary>
+    
 ```json
 {
     "tailwindCSS.experimental.classRegex": [
         ["class\\s?:\\s?([\\s\\S]*)", "(?:\"|')([^\"']*)(?:\"|')"]
     ]
 }
-```
+```
+
+</details>
+
+</details>
+
+

__init__.py

@@ -4,14 +4,20 @@
 @nickname: Avatar Graph
 @description: Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.
 """
-import routes
-
-import inspect
 import os
 import sys
+
+sys.path.append(os.path.join(os.path.dirname(__file__)))
+
+import routes
+import inspect
+import sys
 import importlib
 import subprocess
-from folder_paths import add_model_folder_path
+import requests
+import folder_paths
+from folder_paths import add_model_folder_path, get_filename_list, get_folder_paths
+from tqdm import tqdm
 
 ag_path = os.path.join(os.path.dirname(__file__))
 
@@ -30,24 +36,45 @@ ag_path = os.path.join(os.path.dirname(__file__))
 
 
 def get_python_files(path):
-    return [f[:-3] for f in os.listdir(path) if f.endswith('.py')]
+    return [f[:-3] for f in os.listdir(path) if f.endswith(".py")]
 
 
 def append_to_sys_path(path):
     if path not in sys.path:
         sys.path.append(path)
 
+folder_paths.folder_names_and_paths["sams"] = ([os.path.join(folder_paths.models_dir, "sams")], folder_paths.supported_pt_extensions)
 
-def create_sam_model_dir():
-    model_dir = os.path.join(ag_path, "../../models/sam")
+def download_sam_model():
+    model_dir = get_folder_paths("sams")[0]
     if not os.path.isdir(model_dir):
         os.makedirs(model_dir)
-    add_model_folder_path('sam', model_dir)
+
+    add_model_folder_path("sams", model_dir)
+
+    files = get_filename_list("sams")
+    if len(files) == 0:
+        print("Downloading sam model...")
+        url = "https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth"
+        response = requests.get(url, stream=True)
+        response.raise_for_status()
+        file_size = int(response.headers.get("Content-Length", 0))
+        chunk_size = 1024
+        num_bars = int(file_size / chunk_size)
+
+        with open(f"{model_dir}/sam_vit_h_4b8939.pth", "wb") as f:
+            for chunk in tqdm(
+                response.iter_content(chunk_size=chunk_size),
+                total=num_bars,
+                unit="KB",
+                desc=url.split("/")[-1],
+            ):
+                f.write(chunk)
 
 
-create_sam_model_dir()
+download_sam_model()
 
-paths = ['blender', 'sam', 'common']
+paths = ["blender", "sam"]
 files = []
 
 for path in paths:
@@ -59,6 +86,7 @@ NODE_CLASS_MAPPINGS = {}
 NODE_DISPLAY_NAME_MAPPINGS = {}
 
 import blender_node
+
 base_class = blender_node.ObjectOps
 
 # Import all the modules and append their mappings
@@ -69,22 +97,20 @@ for file in files:
         if inspect.isclass(obj):
             if issubclass(obj, base_class) and obj != base_class:
                 NODE_CLASS_MAPPINGS.update(obj.NODE_CLASS_MAPPINGS())
-                NODE_DISPLAY_NAME_MAPPINGS.update(
-                    obj.NODE_DISPLAY_NAME_MAPPINGS())
+                NODE_DISPLAY_NAME_MAPPINGS.update(obj.NODE_DISPLAY_NAME_MAPPINGS())
 
-    if (hasattr(module, 'BLENDER_NODES')):
+    if hasattr(module, "BLENDER_NODES"):
         for node in module.BLENDER_NODES:
             # print(node)
             # NODE_CLASS_MAPPINGS.update({node: module.BLENDER_NODES[node]})
             # NODE_DISPLAY_NAME_MAPPINGS.update({node: node})
             NODE_CLASS_MAPPINGS.update(node.NODE_CLASS_MAPPINGS())
-            NODE_DISPLAY_NAME_MAPPINGS.update(
-                node.NODE_DISPLAY_NAME_MAPPINGS())
+            NODE_DISPLAY_NAME_MAPPINGS.update(node.NODE_DISPLAY_NAME_MAPPINGS())
 
-    if hasattr(module, 'NODE_CLASS_MAPPINGS'):
+    if hasattr(module, "NODE_CLASS_MAPPINGS"):
         NODE_CLASS_MAPPINGS.update(module.NODE_CLASS_MAPPINGS)
-    if hasattr(module, 'NODE_DISPLAY_NAME_MAPPINGS'):
+    if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS"):
         NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS)
 
 WEB_DIRECTORY = "js"
-__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

blender/avatar_main_output.py

@@ -33,6 +33,9 @@ class AvatarMainOutput(blender_node.ObjectOps):
         "open_in_blender": ("BOOLEAN", {
             "default": False
         }),
+        "auto_save": ("BOOLEAN", {
+            "default": False
+        }),
         "blender_path_override": ("STRING", {
             "multiline": False,
             "default": ''
@@ -42,16 +45,16 @@ class AvatarMainOutput(blender_node.ObjectOps):
             "multiline": False,
             "default": "out"
         }),
-        "model_type": (["GLB", "GLTF_EMBEDDED"],),
+        "model_type": (["AVA","GLB", "GLTF_EMBEDDED"],),
         "write_mode": (["Overwrite", "Increment"],),
 
-        "blendshapes": ("blendshapes",),
+        "SHAPE_FLOW": ("SHAPE_FLOW",),
     }
 
     OUTPUT_NODE = True
     RETURN_TYPES = ()
 
-    def blender_process(self, bpy, BPY_OBJ, BPY_OBJS=None, open_in_blender=False, blender_path_override='', filename='', model_type='', write_mode='', blendshapes=''):
+    def blender_process(self, bpy, BPY_OBJ=None, BPY_OBJS=None, open_in_blender=False, auto_save=False, blender_path_override='', filename='', model_type='', write_mode='', SHAPE_FLOW=''):
         if open_in_blender:
             p = blender_path_override if blender_path_override else global_blender_path
             output_file = self.output_dir + '/tmp.blend'
@@ -63,7 +66,10 @@ class AvatarMainOutput(blender_node.ObjectOps):
         objs = BPY_OBJS if BPY_OBJS else [BPY_OBJ]
 
         filepath = export_gltf(
-            self.output_dir, objs, filename, model_type, write_mode
+            self.output_dir, objs, filename, model_type, write_mode, SHAPE_FLOW
         )
 
-        return {"ui": {"gltfFilename": {filepath.replace(f"{self.output_dir}/", "")}, "blendshapes": {blendshapes}}}
+        import global_bpy
+        global_bpy.set_should_reset_scene(True)
+
+        return {"ui": {"gltfFilename": {filepath.replace(f"{self.output_dir}/", "")}, "SHAPE_FLOW": {SHAPE_FLOW}, "auto_save": {'true' if auto_save else 'false'},}}

blender/blender_node.py

@@ -1,5 +1,7 @@
 import inspect
 import re
+import json
+
 BPY_OBJS = "BPY_OBJS"
 BPY_OBJ = "BPY_OBJ"
 
@@ -7,6 +9,13 @@ BPY_OBJS_TYPE = {
     BPY_OBJS: (BPY_OBJS,),
 }
 
+node_input_types = {}
+with open("custom_nodes/avatar-graph-comfyui/blender/input_types.txt") as f:
+    input_types = f.readlines()
+    for input_type in input_types:
+        node_cls, node_types = input_type.split("|")
+        node_input_types[node_cls] = json.loads(node_types)
+
 
 class ObjectOps:
     @classmethod
@@ -38,16 +47,22 @@ class ObjectOps:
 
     @classmethod
     def INPUT_TYPES(cls):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-        result = {
-            "required": {},
-            "optional": {
-                **cls.get_base_input_types(bpy),
-                **cls.get_extra_input_types(bpy)
-            }
-        }
-        return result
+        return node_input_types[cls.__name__]
+
+        # import global_bpy
+        # bpy = global_bpy.get_bpy()
+        # result = {
+        #     "required": {},
+        #     "optional": {
+        #         **cls.get_base_input_types(bpy),
+        #         **cls.get_extra_input_types(bpy)
+        #     }
+        # }
+
+        # with open("input_types.txt", "a") as f:
+        #     f.write(cls.__name__ + "|" + json.dumps(result) + "\n")
+
+        # return result
 
     @classmethod
     def NODE_CLASS_MAPPINGS(cls):
@@ -82,7 +97,7 @@ class ObjectOps:
         results = self.blender_process(bpy, **props)
 
         if results is None:
-            print(results)
+            # print(results)
             if props.get("BPY_OBJ") != None:
                 return (props["BPY_OBJ"], )
             else:
@@ -190,12 +205,12 @@ def print_blender_functions(path):
     if ag_path not in sys.path:
         sys.path.append(ag_path)
 
-    import global_bpy
-    bpy = global_bpy.get_bpy()
+    # import global_bpy
+    # bpy = global_bpy.get_bpy()
 
     # add a an empty object
 
-    print(dir(get_nested_attr(bpy, path)), type(get_nested_attr(bpy, path)))
+    # print(dir(get_nested_attr(bpy, path)), type(get_nested_attr(bpy, path)))
 
 
 def create_ops_class(cls, path, name=None, name_prefix=''):

blender/combine_mesh.py

@@ -1,35 +0,0 @@
-class CombineMesh:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "obj_1": ("BPY_OBJS",),
-                "obj_2": ("BPY_OBJS",),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, obj_1, obj_2):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        override = bpy.context.copy()
-        override["active_object"] = obj_1[0]
-        override["selected_editable_objects"] = list([*obj_1, *obj_2])
-        bpy.ops.object.join(override)
-        joined_object = override["active_object"]
-        return ([joined_object], )
-
-NODE_CLASS_MAPPINGS = {
-    "CombineMesh": CombineMesh
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "CombineMesh": "Combine Mesh"
-}

blender/create_shape_flow.py

@@ -4,21 +4,20 @@ class CreateShapeFlow():
     def INPUT_TYPES(s):
         return {
             "required": {
-                "blendshapes": ("STRING", {
+                "shape_flow": ("STRING", {
                     "multiline": False,
-                    "default": "{node: ''}"
+                    "default": '{"nodes": []}'
                 }),
             },
         }
 
-    RETURN_TYPES = ("blendshapes",)
-    RETURN_NAMES = ("blendshapes",)
+    RETURN_TYPES = ("SHAPE_FLOW",)
     FUNCTION = "process"
 
     CATEGORY = "mesh"
 
-    def process(self, blendshapes):
-        return (blendshapes,)
+    def process(self, shape_flow):
+        return (shape_flow,)
 
 # A dictionary that contains all nodes you want to export with their names
 # NOTE: names should be globally unique

blender/create_vertex_bounds.py

@@ -1,63 +0,0 @@
-class CreateVertexBounds():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                "name": ("STRING", {
-                    "multiline": False,
-                    "default": "Group"
-                }),
-                "extrude": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, name, extrude):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        if len(bpy_objs_target) == 0:
-            # throw error
-            return
-
-        target_object = bpy_objs_target[0]
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='SELECT')
-
-        bpy.ops.mesh.extrude_region_move(MESH_OT_extrude_region={
-                                         "use_normal_flip": False, "use_dissolve_ortho_edges": False, "mirror": False})
-
-        bpy.ops.transform.resize(
-            value=(extrude, extrude, 1), constraint_axis=(False, False, False))
-
-        # remove the extruded vertex from the vertex group "name"
-
-        bpy.ops.object.vertex_group_remove_from()
-
-        # bpy.ops.mesh.delete(type='FACE')
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-    
-NODE_CLASS_MAPPINGS = {
-    "CreateVertexBounds": CreateVertexBounds
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "CreateVertexBounds": "Vertex Bounds"
-}

blender/create_vertex_group.py

@@ -1,56 +0,0 @@
-class CreateVertexGroup():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                "name": ("STRING", {
-                    "multiline": False,
-                    "default": "Group"
-                }),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, name):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        if len(bpy_objs_target) == 0:
-            # throw error
-            return
-            
-        target_object = bpy_objs_target[0]
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='SELECT')
-
-        # create vertex group and assign all selected faces to it (the name of the vertex group is the same as the name of the object)
-        bpy.context.object.vertex_groups.new(name=name)
-        bpy.ops.object.vertex_group_assign()
-
-        # bpy.ops.mesh.delete(type='FACE')
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "CreateVertexGroup": CreateVertexGroup
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "CreateVertexGroup": "Vertex Group (Old)"
-}

blender/disolve_faces.py

@@ -1,61 +0,0 @@
-class DissolveFaces():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                 "target_vertex_group": ("STRING", {
-                    "multiline": False,
-                    "default": ""
-                }),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, target_vertex_group):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        target_object = bpy_objs_target[0]
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-
-        bpy.ops.mesh.select_all(action='DESELECT')
-
-        # if we have vertex group, select that instead
-        if target_vertex_group and target_vertex_group.strip() != "":
-            group = target_object.vertex_groups.get(target_vertex_group)
-            if group:
-                bpy.ops.object.vertex_group_set_active(group=group.name)
-                bpy.ops.object.vertex_group_select()
-        else:
-            bpy.ops.mesh.select_all(action='SELECT')
-
-        # dissolve the faces
-        # bpy.ops.mesh.dissolve_faces()
-        bpy.ops.mesh.delete(type='ONLY_FACE')
-        # bpy.ops.mesh.delete(type='FACE')
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "DissolveFaces": DissolveFaces
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "DissolveFaces": "Dissolve Faces (Old)"
-}

blender/fill_face.py

@@ -1,46 +0,0 @@
-class FillFace:
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        target_object = bpy_objs_target[0]
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='SELECT')
-
-        # fill the faces
-        bpy.ops.mesh.fill()
-
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "FillFace": FillFace
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "FillFace": "Fill Face (Old)"
-}

blender/group_object.py

@@ -1,30 +0,0 @@
-class GroupObject():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                "bpy_objs_target_2": ("BPY_OBJS",),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, bpy_objs_target_2):
-        combined_list = bpy_objs_target + bpy_objs_target_2
-        return (combined_list,)
-
-
-NODE_CLASS_MAPPINGS = {
-    "GroupObject": GroupObject
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "GroupObject": "Group Object"
-}

blender/group_vertex_inside.py

@@ -1,108 +0,0 @@
-class GroupVertexInside():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy": ("BPY",),
-                "bpy_objs_target": ("BPY_OBJS",),
-                "name": ("STRING", {
-                    "multiline": False,
-                    "default": "Group"
-                }),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, name):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        target_object = bpy_objs_target[0]
-
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='DESELECT')
-
-        # select the vetex group's vertices
-        bpy.ops.object.vertex_group_select()
-
-        # get vertex group
-        vertex_group = target_object.vertex_groups[name]
-
-        verts = target_object.data.vertices
-
-        # all_vertices = [(v.co.x, v.co.y, i) for i, v in target_object.data.vertices]
-
-        # get the verts in the group
-        verts_in_group = [v for v in verts if vertex_group.index in [vg.group for vg in v.groups]]
-
-        # get all selected vertices's xy
-        # get the vertices of the vertex group
-        vertex_group_vertices = [(v.co.x, v.co.y) for v in verts_in_group]
-
-        # get all vertices
-        # all_vertices = [(v.co.x, v.co.y) for v in target_object.data.vertices]
-        all_vertices_without_vertex_group = [(v.co.x, v.co.y, i) for i, v in enumerate(target_object.data.vertices) if v not in verts_in_group]
-
-        from scipy.spatial import ConvexHull, Delaunay
-
-        # create a convex hull of the vertex group's vertices
-        hull = ConvexHull(vertex_group_vertices)
-
-        # create a Delaunay triangulation of the convex hull
-        tri = Delaunay(hull.points[hull.vertices])
-
-        # get the indices of the vertices that are inside the convex hull
-        inside_vertices_indices = [i for (x,y,i) in all_vertices_without_vertex_group if tri.find_simplex((x,y))>=0]
-        
-        print(inside_vertices_indices)
-        print(len(vertex_group_vertices))
-
-        bpy.ops.mesh.select_all(action='DESELECT')
-
-        # select the vertices that are inside the convex hull
-        # for i in inside_vertices_indices:
-        #     target_object.data.vertices[i].select = True 
-
-        # # select vertex from 1 to 10
-        # for i in range(1, 100):
-        #     target_object.data.vertices[i].select = True
-
-        # create a new vertex group
-        # bpy.context.object.vertex_groups.new(name="fuck")
-        # bpy.ops.object.vertex_group_assign()
-        bpy.ops.object.mode_set(mode='OBJECT')
-        # create a new vertex group
-        # new_group = bpy.context.object.vertex_groups.new(name="new_group")
-        vertex_group.add(inside_vertices_indices, weight=1.0, type='REPLACE')
-
-        # assign the selected vertices to the new vertex group
-        # new_group.add([v.index for v in target_object.data.vertices if v.select], weight=1.0, type='REPLACE')
-        # new_group.add([20, 100], weight=1.0, type='REPLACE')
-        # assign the selected vertices to the active vertex group
-        bpy.ops.object.mode_set(mode='OBJECT')  
-
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "GroupVertexInside": GroupVertexInside
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "GroupVertexInside": "Group Vertex Inside"
-}

blender/input_types.txt

@@ -0,0 +1,614 @@
+Object_VertexGroupNewWithName|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "name": ["STRING", {"multiline": false, "default": "Group"}], "assign_selected": ["BOOLEAN", {"default": true}]}}
+EditOps|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+ContextSet_TransformPivotPoint|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "pivot": [["BOUNDING_BOX_CENTER", "CURSOR", "INDIVIDUAL_ORIGINS", "MEDIAN_POINT", "ACTIVE_ELEMENT"]]}}
+Object_AddShapeKeys|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "shape_keys": ["STRING", {"default": "key1,key2", "multiline": true}], "from_mix": ["BOOLEAN", {"default": false}]}}
+Object_MeshFromTexture|{"required": {}, "optional": {"image": ["IMAGE"], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}]}}
+Object_MatchTextureAspectRatio|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "image": ["IMAGE"], "scale": ["FLOAT", {"default": 0.001, "display": "number", "step": 0.001}]}}
+AssignVertexGroupOps|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "name": ["STRING", {"multiline": false, "default": "Group"}]}}
+Object_VertexGroupNewWithName|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "name": ["STRING", {"multiline": false, "default": "Group"}], "assign_selected": ["BOOLEAN", {"default": true}]}}
+Object_CreateMeshLayer|{"required": {}, "optional": {"image": ["IMAGE"], "convex_hull": ["BOOLEAN", {"default": true}], "shape_threshold": ["FLOAT", {"display": "number", "default": 0.7}], "mesh_layer_name": ["STRING", {"default": "mesh_layer"}], "scale_x": ["FLOAT", {"display": "number", "default": 1}], "scale_y": ["FLOAT", {"display": "number", "default": 1}], "extrude_x": ["FLOAT", {"display": "number", "default": 0}], "extrude_y": ["FLOAT", {"display": "number", "default": 0}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}]}}
+GetImageWidthHeight|{"required": {}, "optional": {"image": ["IMAGE"], "scale": ["FLOAT", {"default": 1.0}]}}
+GetFirstObjOps|{"required": {}, "optional": {"BPY_OBJS": ["BPY_OBJS"]}}
+Object_AssignTexture|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "texture": ["IMAGE"], "texture_name": ["STRING", {"multiline": false, "default": "my_image"}]}}
+Mesh_JoinMesh|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "BPY_OBJ2": ["BPY_OBJ"]}}
+Mesh_ModifyShapeKey|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "shape_key_name": ["STRING", {"multiline": false, "default": "EyeBlinkLeft"}], "target_vertex_group": ["STRING", {"multiline": false, "default": ""}], "scale_x": ["FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "scale_y": ["FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "offset_x": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "offset_y": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "rotate": ["FLOAT", {"default": 0, "min": -360, "max": 360.0, "step": 0.01, "display": "number"}], "origin_offset_x": ["FLOAT", {"default": 0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "origin_offset_y": ["FLOAT", {"default": 0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}], "transform_radius": ["FLOAT", {"default": 1.0, "min": 0, "max": 1, "step": 0.01, "display": "number"}], "falloff": ["FLOAT", {"default": 0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}]}}
+Mesh_AttributeSet|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "value_float": ["FLOAT", {"min": -3.4028234663852886e+38, "max": 3.4028234663852886e+38, "default": 0.0}], "value_float_vector_2d": ["B_VECTOR2", {}], "value_float_vector_3d": ["B_VECTOR3", {}], "value_int": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "value_int_vector_2d": ["B_VECTOR2", {}], "value_color": ["B_VECTOR4", {}], "value_bool": ["BOOLEAN", {"default": false}]}}
+Mesh_AverageNormals|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "average_type": [["CUSTOM_NORMAL", "FACE_AREA", "CORNER_ANGLE"]], "weight": ["INT", {"min": 1, "max": 100, "default": 50}], "threshold": ["FLOAT", {"min": 0.0, "max": 10.0, "default": 0.009999999776482582}]}}
+Mesh_BeautifyFill|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "angle_limit": ["FLOAT", {"min": 0.0, "max": 3.1415927410125732, "default": 3.1415927410125732}]}}
+Mesh_Bevel|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "offset_type": [["OFFSET", "WIDTH", "DEPTH", "PERCENT", "ABSOLUTE"]], "offset": ["FLOAT", {"min": 0.0, "max": 1000000.0, "default": 0.0}], "profile_type": [["SUPERELLIPSE", "CUSTOM"]], "offset_pct": ["FLOAT", {"min": 0.0, "max": 100.0, "default": 0.0}], "segments": ["INT", {"min": 1, "max": 1000, "default": 1}], "profile": ["FLOAT", {"min": 0.0, "max": 1.0, "default": 0.5}], "affect": [["VERTICES", "EDGES"]], "clamp_overlap": ["BOOLEAN", {"default": false}], "loop_slide": ["BOOLEAN", {"default": true}], "mark_seam": ["BOOLEAN", {"default": false}], "mark_sharp": ["BOOLEAN", {"default": false}], "material": ["INT", {"min": -1, "max": 2147483647, "default": -1}], "harden_normals": ["BOOLEAN", {"default": false}], "face_strength_mode": [["NONE", "NEW", "AFFECTED", "ALL"]], "miter_outer": [["SHARP", "PATCH", "ARC"]], "miter_inner": [["SHARP", "ARC"]], "spread": ["FLOAT", {"min": 0.0, "max": 1000000.0, "default": 0.10000000149011612}], "vmesh_method": [["ADJ", "CUTOFF"]], "release_confirm": ["BOOLEAN", {"default": false}]}}
+Mesh_Bisect|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "plane_co": ["B_VECTOR3", {}], "plane_no": ["B_VECTOR3", {}], "use_fill": ["BOOLEAN", {"default": false}], "clear_inner": ["BOOLEAN", {"default": false}], "clear_outer": ["BOOLEAN", {"default": false}], "threshold": ["FLOAT", {"min": 0.0, "max": 10.0, "default": 9.999999747378752e-05}], "xstart": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "xend": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "ystart": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "yend": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "flip": ["BOOLEAN", {"default": false}], "cursor": ["INT", {"min": 0, "max": 2147483647, "default": 5}]}}
+Mesh_BlendFromShape|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "shape": ["B_ENUM", {}], "blend": ["FLOAT", {"min": -1000.0, "max": 1000.0, "default": 1.0}], "add": ["BOOLEAN", {"default": true}]}}
+Mesh_BridgeEdgeLoops|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "type": [["SINGLE", "CLOSED", "PAIRS"]], "use_merge": ["BOOLEAN", {"default": false}], "merge_factor": ["FLOAT", {"min": 0.0, "max": 1.0, "default": 0.5}], "twist_offset": ["INT", {"min": -1000, "max": 1000, "default": 0}], "number_cuts": ["INT", {"min": 0, "max": 1000, "default": 0}], "interpolation": [["LINEAR", "PATH", "SURFACE"]], "smoothness": ["FLOAT", {"min": 0.0, "max": 1000.0, "default": 1.0}], "profile_shape_factor": ["FLOAT", {"min": -1000.0, "max": 1000.0, "default": 0.0}], "profile_shape": [["SMOOTH", "SPHERE", "ROOT", "INVERSE_SQUARE", "SHARP", "LINEAR"]]}}
+Mesh_ColorsReverse|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+Mesh_ColorsRotate|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "use_ccw": ["BOOLEAN", {"default": false}]}}
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+Transform_EdgeBevelweight|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "value": ["FLOAT", {"min": -1.0, "max": 1.0, "default": 0.0}], "snap": ["BOOLEAN", {"default": false}], "release_confirm": ["BOOLEAN", {"default": false}], "use_accurate": ["BOOLEAN", {"default": false}]}}
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+Transform_SelectOrientation|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "orientation": ["B_ENUM", {}]}}
+Transform_SeqSlide|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "value": ["B_VECTOR2", {}], "snap": ["BOOLEAN", {"default": false}], "view2d_edge_pan": ["BOOLEAN", {"default": false}], "release_confirm": ["BOOLEAN", {"default": false}], "use_accurate": ["BOOLEAN", {"default": false}]}}
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+UV_Reveal|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "select": ["BOOLEAN", {"default": true}]}}
+UV_Rip|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "mirror": ["BOOLEAN", {"default": false}], "release_confirm": ["BOOLEAN", {"default": false}], "use_accurate": ["BOOLEAN", {"default": false}], "location": ["B_VECTOR2", {}]}}
+UV_RipMove|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_SeamsFromIslands|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "mark_seams": ["BOOLEAN", {"default": true}], "mark_sharp": ["BOOLEAN", {"default": false}]}}
+UV_Select|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "extend": ["BOOLEAN", {"default": false}], "deselect": ["BOOLEAN", {"default": false}], "toggle": ["BOOLEAN", {"default": false}], "deselect_all": ["BOOLEAN", {"default": false}], "select_passthrough": ["BOOLEAN", {"default": false}], "location": ["B_VECTOR2", {}]}}
+UV_SelectAll|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "action": [["TOGGLE", "SELECT", "DESELECT", "INVERT"]]}}
+UV_SelectBox|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "pinned": ["BOOLEAN", {"default": false}], "xmin": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "xmax": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "ymin": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "ymax": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "wait_for_input": ["BOOLEAN", {"default": true}], "mode": [["SET", "ADD", "SUB"]]}}
+UV_SelectCircle|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "x": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "y": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "radius": ["INT", {"min": 1, "max": 2147483647, "default": 25}], "wait_for_input": ["BOOLEAN", {"default": true}], "mode": [["SET", "ADD", "SUB"]]}}
+UV_SelectEdgeRing|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "extend": ["BOOLEAN", {"default": false}], "location": ["B_VECTOR2", {}]}}
+UV_SelectLasso|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "mode": [["SET", "ADD", "SUB"]]}}
+UV_SelectLess|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_SelectLinked|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_SelectLinkedPick|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "extend": ["BOOLEAN", {"default": false}], "deselect": ["BOOLEAN", {"default": false}], "location": ["B_VECTOR2", {}]}}
+UV_SelectLoop|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "extend": ["BOOLEAN", {"default": false}], "location": ["B_VECTOR2", {}]}}
+UV_SelectMode|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "type": [["VERTEX", "EDGE", "FACE", "ISLAND"]]}}
+UV_SelectMore|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_SelectOverlap|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "extend": ["BOOLEAN", {"default": false}]}}
+UV_SelectPinned|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_SelectSimilar|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "type": [["PIN", "LENGTH", "LENGTH_3D", "AREA", "AREA_3D", "MATERIAL", "OBJECT", "SIDES", "WINDING", "FACE"]], "compare": [["EQUAL", "GREATER", "LESS"]], "threshold": ["FLOAT", {"min": 0.0, "max": 1.0, "default": 0.0}]}}
+UV_SelectSplit|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+UV_ShortestPathPick|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "use_face_step": ["BOOLEAN", {"default": false}], "use_topology_distance": ["BOOLEAN", {"default": false}], "use_fill": ["BOOLEAN", {"default": false}], "skip": ["INT", {"min": 0, "max": 2147483647, "default": 0}], "nth": ["INT", {"min": 1, "max": 2147483647, "default": 1}], "offset": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}], "object_index": ["INT", {"min": -1, "max": 2147483647, "default": -1}], "index": ["INT", {"min": -1, "max": 2147483647, "default": -1}]}}
+UV_ShortestPathSelect|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "use_face_step": ["BOOLEAN", {"default": false}], "use_topology_distance": ["BOOLEAN", {"default": false}], "use_fill": ["BOOLEAN", {"default": false}], "skip": ["INT", {"min": 0, "max": 2147483647, "default": 0}], "nth": ["INT", {"min": 1, "max": 2147483647, "default": 1}], "offset": ["INT", {"min": -2147483648, "max": 2147483647, "default": 0}]}}
+UV_SmartProject|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "angle_limit": ["FLOAT", {"min": 0.0, "max": 1.5707963705062866, "default": 1.1519173383712769}], "margin_method": [["SCALED", "ADD", "FRACTION"]], "island_margin": ["FLOAT", {"min": 0.0, "max": 1.0, "default": 0.0}], "area_weight": ["FLOAT", {"min": 0.0, "max": 1.0, "default": 0.0}], "correct_aspect": ["BOOLEAN", {"default": true}], "scale_to_bounds": ["BOOLEAN", {"default": false}]}}
+UV_SnapCursor|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "target": [["PIXELS", "SELECTED", "ORIGIN"]]}}
+UV_SnapSelected|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "target": [["PIXELS", "CURSOR", "CURSOR_OFFSET", "ADJACENT_UNSELECTED"]]}}
+UV_SphereProject|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "direction": [["VIEW_ON_EQUATOR", "VIEW_ON_POLES", "ALIGN_TO_OBJECT"]], "align": [["POLAR_ZX", "POLAR_ZY"]], "pole": [["PINCH", "FAN"]], "seam": ["BOOLEAN", {"default": false}], "correct_aspect": ["BOOLEAN", {"default": true}], "clip_to_bounds": ["BOOLEAN", {"default": false}], "scale_to_bounds": ["BOOLEAN", {"default": false}]}}
+UV_Stitch|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "use_limit": ["BOOLEAN", {"default": false}], "snap_islands": ["BOOLEAN", {"default": true}], "limit": ["FLOAT", {"min": 0.0, "max": 3.4028234663852886e+38, "default": 0.009999999776482582}], "static_island": ["INT", {"min": 0, "max": 2147483647, "default": 0}], "active_object_index": ["INT", {"min": 0, "max": 2147483647, "default": 0}], "midpoint_snap": ["BOOLEAN", {"default": false}], "clear_seams": ["BOOLEAN", {"default": true}], "mode": [["VERTEX", "EDGE"]], "stored_mode": [["VERTEX", "EDGE"]], "objects_selection_count": ["B_VECTOR6", {}]}}
+UV_Weld|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+ToGroupOps|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"]}}
+AvatarMainOutput|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "BPY_OBJS": ["BPY_OBJS"], "open_in_blender": ["BOOLEAN", {"default": false}], "auto_save": ["BOOLEAN", {"default": false}], "blender_path_override": ["STRING", {"multiline": false, "default": ""}], "filename": ["STRING", {"multiline": false, "default": "out"}], "model_type": [["AVA", "GLB", "GLTF_EMBEDDED"]], "write_mode": [["Overwrite", "Increment"]], "SHAPE_FLOW": ["SHAPE_FLOW"]}}
+GroupOps|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "BPY_OBJ2": ["BPY_OBJ"]}}
+Object_PlaneTextureUnwrap|{"required": {}, "optional": {"BPY_OBJ": ["BPY_OBJ"], "image": ["IMAGE"], "scale": ["FLOAT", {"default": 1, "display": "number", "step": 0.01}], "texture_name": ["STRING", {"default": "Texture"}]}}

blender/knift_project.py

@@ -1,121 +0,0 @@
-class KnifeProjection:
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_knife": ("BPY_OBJS",),
-                "bpy_objs_target": ("BPY_OBJS",),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_knife, bpy_objs_target):
-        import mathutils
-        import math
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        knife_object = bpy_objs_knife[0]
-        target_object = bpy_objs_target[0]
-
-        bpy.ops.object.select_all(action='DESELECT')
-        bpy.context.view_layer.objects.active = target_object
-        # knife_object.select_set(True)
-        # target_object.select_set(True)
-
-        # bpy.ops.object.mode_set(mode='EDIT')
-
-        area = next(
-            area for area in bpy.context.screen.areas if area.type == 'VIEW_3D')
-        space = next(space for space in area.spaces if space.type == 'VIEW_3D')
-        region = next(
-            region for region in area.regions if region.type == 'WINDOW')
-
-        # space.region_3d.view_perspective = 'ORTHO'
-        # space.region_3d.view_rotation = mathutils.Euler(
-        #     (0, 0, 0)).to_quaternion()
-
-        # set blender to orthographic view without using numpad
-
-        # bpy.ops.view3d.view_axis(type='TOP')
-
-        override = bpy.context.copy()
-
-        # override["active_object"] = target_object
-        # override["edit_object"] = target_object
-        # override["selected_objects"] = [knife_object, target_object]
-        # override["selected_editable_objects"] = [knife_object, target_object]
-
-        override["region"] = region
-        override["area"] = area
-        override["space"] = space
-
-        override["active_object"] = target_object
-        override["edit_object"] = target_object
-        override["selected_objects"] = [knife_object, target_object]
-        override["selected_editable_objects"] = [knife_object, target_object]
-
-        knife_object.select_set(False)
-        target_object.select_set(True)
-        # move the kinfe object up a bit
-        bpy.ops.transform.translate(value=(0, 0, -0.1))
-        bpy.ops.object.mode_set(mode='EDIT')
-        knife_object.select_set(False)
-
-        # Get the viewport rotation
-        viewport_rotation = space.region_3d.view_rotation
-
-        with bpy.context.temp_override(**override):
-            # # Create a rotation matrix representing a top-down view
-            # rotation_matrix = mathutils.Matrix.Rotation(math.radians(90.0), 4, 'X')
-
-            # # Create a rotation matrix to make the object face the user
-            # rotation_matrix_face_user = mathutils.Matrix.Rotation(math.radians(180.0), 4, 'Z')
-
-            # # Create a rotation matrix for the viewport rotation
-            # rotation_matrix_viewport = viewport_rotation.to_matrix().to_4x4()
-
-            # # Remember the original locations
-            # original_location_knife = knife_object.location.copy()
-            # original_location_target = target_object.location.copy()
-
-            # # Move the objects to the origin
-            # knife_object.location = mathutils.Vector((0, 0, 0))
-            # target_object.location = mathutils.Vector((0, 0, 0))
-
-            # # Rotate the objects
-            # knife_object.matrix_world = rotation_matrix @ rotation_matrix_face_user @ rotation_matrix_viewport @ knife_object.matrix_world
-            # target_object.matrix_world = rotation_matrix @ rotation_matrix_face_user @ rotation_matrix_viewport @ target_object.matrix_world
-
-            bpy.ops.view3d.view_axis(type='TOP', align_active=False) 
-            bpy.ops.view3d.view_persportho()
-            bpy.ops.wm.redraw_timer(type='DRAW_WIN_SWAP', iterations=1)
-            bpy.ops.mesh.knife_project()
-
-            # # Rotate the objects back
-            # knife_object.matrix_world = rotation_matrix.inverted() @ knife_object.matrix_world
-            # target_object.matrix_world = rotation_matrix.inverted() @ target_object.matrix_world
-
-            # # Move the objects back to their original locations
-            # knife_object.location = original_location_knife
-            # target_object.location = original_location_target
-
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "KnifeProjection": KnifeProjection
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "KnifeProjection": "Knife Projection"
-}

blender/mesh_from_texture.py

@@ -1,104 +0,0 @@
-class MeshFromTexture:
-    def __init__(self):
-        pass
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "image": ("IMAGE",),
-                # For disabling cache
-                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
-            },
-        }
-
-    RETURN_TYPES = ("IMAGE", "BPY_OBJS")
-    RETURN_NAMES = ("image", "bpy_objs")
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, image, seed):
-        import torch
-        import cv2
-        import numpy as np
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        image = np.copy(image[0].numpy())
-
-        gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
-        gray = (gray * 255).astype(np.uint8)
-
-        # Find contours
-        contours, _ = cv2.findContours(
-            gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-        # Get the largest contour
-        areas = [cv2.contourArea(contour) for contour in contours]
-
-        max_area_index = areas.index(max(areas))
-        largest_contour = contours[max_area_index]
-        contours = [largest_contour]
-
-        def normalize_vertices(vertices, max_value):
-            return vertices / float(max_value) * 2 - 1
-
-        # Get the image width and height
-        height, width = image.shape[:2]
-
-        # Normalize the vertices
-        normalized_contours = []
-        for contour in contours:
-            normalized_contour = []
-            for vertex in contour:
-                normalized_vertex = [normalize_vertices(
-                    vertex[0][0], width), normalize_vertices(vertex[0][1], height) * -1]
-                normalized_contour.append(normalized_vertex)
-            normalized_contours.append(
-                np.array(normalized_contour, dtype=np.float32))
-
-        meshes = []
-        # print(len(normalized_contours))
-        for i, contour in enumerate(normalized_contours):
-            # Create a new mesh for each contour
-            mesh = bpy.data.meshes.new(name=f"NewMesh{i}")
-            # Create a new object for each mesh
-            obj = bpy.data.objects.new(f"NewObject{i}", mesh)
-            # Link the object to the current collection
-            bpy.context.collection.objects.link(obj)
-
-            # Add a z coordinate to each vertex
-            ordered_vertices = [(*vertex, 0) for vertex in contour]
-            # Create a face from the vertices
-            face = list(range(len(ordered_vertices)))
-
-            # Create the mesh from the vertices and face
-            mesh.from_pydata(ordered_vertices, [], [face])
-
-            # Create a default shape key for the mesh
-            sk_basis = obj.shape_key_add(name='Basis')
-
-            meshes.append(obj)  # Add the object to the list of meshes
-
-        # Draw contours on the original image
-        if not image.flags['C_CONTIGUOUS']:
-            image = np.ascontiguousarray(image)
-        cv2.drawContours(image, contours, -1, (0, 255, 0), 3)
-
-        # Convert image back to tensor
-        image = [torch.from_numpy(image)]
-        return (image, meshes)
-
-
-# A dictionary that contains all nodes you want to export with their names
-# NOTE: names should be globally unique
-NODE_CLASS_MAPPINGS = {
-    "MeshFromTexture": MeshFromTexture
-}
-
-# A dictionary that contains the friendly/humanly readable titles for the nodes
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "MeshFromTexture": "Mesh from texture"
-}

blender/mesh_utils.py

@@ -67,7 +67,7 @@ def genreate_mesh_from_texture(bpy, image):
     cv2.drawContours(image, contours, -1, (0, 255, 0), 3)
 
     # Convert image back to tensor
-    image = [torch.from_numpy(image)]
+    image = torch.from_numpy(np.expand_dims(image, axis=0))
     return (image, meshes[0])
 
 
@@ -196,7 +196,7 @@ def kill_blender_process():
         process.kill()
 
 
-def export_gltf(output_dir, bpy_objects, filename, model_type, write_mode):
+def export_gltf(output_dir, bpy_objects, filename, model_type, write_mode, metadata):
     import global_bpy
     bpy = global_bpy.get_bpy()
     # print(bpy, bpy_objects)
@@ -206,21 +206,37 @@ def export_gltf(output_dir, bpy_objects, filename, model_type, write_mode):
     override["selected_objects"] = list(bpy_objects)
     override["active_object"] = list(bpy_objects)[0]
 
+    bpy_objects[0]["metadata"] = metadata
     for obj in bpy_objects:
         obj.select_set(True)
 
-    filepath = output_dir + "/" + filename + '.' + ("glb" if model_type == "GLB" else "gltf")
+    def get_file_extension(model_type):
+        if model_type == "GLB":
+            return ".glb"
+        elif model_type == "GLTF_EMBEDDED":
+            return ".gltf"
+        elif model_type == "GLTF_SEPARATE":
+            return ".gltf"
+        elif model_type == "AVA":
+            return ".ava"
+
+    ext = get_file_extension(model_type)
+    filepath = output_dir + "/" + filename + ext + (".glb" if model_type == "AVA" else "")
 
     if write_mode == "Increment":
         count = 0
         # while file exists, increment count
-        while os.path.exists(output_dir + "/" + filename + '_' + str(count) + '.' + ("glb" if model_type == "GLB" else "gltf")):
+        while os.path.exists(output_dir + "/" + filename + '_' + str(count) + ext):
             count += 1
 
-        filepath = output_dir + "/" + filename + '_' + str(count) + '.' + ("glb" if model_type == "GLB" else "gltf")
+        filepath = output_dir + "/" + filename + '_' + str(count) + ext + (".glb" if model_type == "AVA" else "")
     
     with bpy.context.temp_override(**override):
-        bpy.ops.export_scene.gltf(filepath=filepath, export_format=model_type, use_selection=True)
+        bpy.ops.export_scene.gltf(filepath=filepath, export_format="GLB" if model_type == "AVA" else model_type, use_selection=True, export_extras=True)
         # print(filepath)
+        if filepath.endswith('.ava.glb'):
+            new_filepath = filepath.replace('.ava.glb', '.ava')
+            os.rename(filepath, new_filepath)
+            filepath = new_filepath
 
     return filepath

blender/open_in_blender.py

@@ -1,48 +0,0 @@
-import subprocess
-import folder_paths
-import os
-from mesh_utils import open_in_blender
-
-
-class OpenInBlender:
-    def __init__(self):
-        self.my_blender_process = None
-        self.output_dir = folder_paths.get_output_directory()
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "bpy_objs": ("BPY_OBJS",),
-                "blender_path": ("STRING", {
-                    "multiline": False,
-                    "default": "blender"
-                }),
-                "shading": (["Material", "Solid", "Rendered", "Wireframe"],),
-                "camera_location": ("VECTOR3D",),
-                "camera_rotation": ("VECTOR3D",),
-            },
-        }
-
-    RETURN_TYPES = ()
-    FUNCTION = "process"
-
-    OUTPUT_NODE = True
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs, blender_path, shading, camera_location, camera_rotation):
-        output_file = self.output_dir + '/tmp.blend'
-        p = open_in_blender(self.my_blender_process, blender_path=blender_path, output_file=output_file, camera_location=camera_location,
-                        camera_rotation=camera_rotation, shading=shading)
-        self.my_blender_process = p
-        return {"ui": {}}
-
-
-NODE_CLASS_MAPPINGS = {
-    "OpenInBlender": OpenInBlender
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "OpenInBlender": "Open in Blender"
-}

blender/ops_create_mesh_layer.py

@@ -9,9 +9,12 @@ class Object_CreateMeshLayer(blender_node.ObjectOps):
 
     EXTRA_INPUT_TYPES = {
         "image": ("IMAGE",),
-        "face_threshold": ("FLOAT", {"display": "number", "default": 0.7}),
+        "convex_hull": ("BOOLEAN", {"default": True}),
+        # "face_threshold": ("FLOAT", {"display": "number", "default": 0.7}),
         "shape_threshold": ("FLOAT", {"display": "number", "default": 0.7}),
         "mesh_layer_name": ("STRING", {"default": "mesh_layer"}),
+        "scale_x": ("FLOAT", {"display": "number", "default": 1}),
+        "scale_y": ("FLOAT", {"display": "number", "default": 1}),
         "extrude_x": ("FLOAT", {"display": "number", "default": 0}),
         "extrude_y": ("FLOAT", {"display": "number", "default": 0}),
         "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
@@ -19,22 +22,27 @@ class Object_CreateMeshLayer(blender_node.ObjectOps):
 
     RETURN_TYPES = ("BPY_OBJ", "IMAGE")
 
-    def blender_process(self, bpy, image, face_threshold, shape_threshold, mesh_layer_name, extrude_x, extrude_y, seed):
+    def blender_process(self, bpy, image, convex_hull, shape_threshold, mesh_layer_name, scale_x,scale_y , extrude_x, extrude_y, seed):
         image, BPY_OBJ = genreate_mesh_from_texture(bpy, image)
 
         bpy.context.view_layer.objects.active = BPY_OBJ
 
         self.edit_mode(bpy)
-        bpy.ops.mesh.convex_hull(
-            delete_unused=True, use_existing_faces=True,
-            face_threshold=face_threshold,
-            shape_threshold=shape_threshold,
-        )
+
+        if convex_hull:
+            bpy.ops.mesh.convex_hull(
+                delete_unused=True, use_existing_faces=True,
+                shape_threshold=shape_threshold,
+                # face_threshold=face_threshold
+                face_threshold=0.7
+            )
 
         bpy.ops.mesh.delete(type='EDGE_FACE')
         bpy.ops.mesh.select_all(action='SELECT')
         bpy.ops.mesh.edge_face_add()
 
+        bpy.ops.transform.resize(value=(scale_x, scale_y, 1))
+
         bpy.context.object.vertex_groups.new(name=mesh_layer_name)
         bpy.ops.object.vertex_group_assign()
 

blender/ops_join.py

@@ -9,13 +9,11 @@ class Mesh_JoinMesh(blender_node.ObjectOps):
     CUSTOM_NAME = "Join Meshes"
 
     def blender_process(self, bpy, BPY_OBJ, **props):
-        
-        prop_values = props.values()
-        
-        override = bpy.context.copy()
-        override["active_object"] = BPY_OBJ
-        override["selected_editable_objects"] = list(prop_values) + [BPY_OBJ]
-        bpy.ops.object.join(override)
+        prop_values = props.values()        
+        for obj in list(prop_values) + [BPY_OBJ]:
+            obj.select_set(True)
+        bpy.context.view_layer.objects.active = BPY_OBJ
+        bpy.ops.object.join()
 
         return (BPY_OBJ,)
 

blender/ops_match_texture_aspect_ratio.py

@@ -6,7 +6,7 @@ class Object_MatchTextureAspectRatio(blender_node.EditOps):
 
     EXTRA_INPUT_TYPES = {
         "image": ("IMAGE",),
-        "scale": ('FLOAT', {'default': 0.001, })
+        "scale": ('FLOAT', {'default': 0.001, "display": "number" , "step": 0.001})
     }
 
     CUSTOM_NAME = "Match Texture Aspect Ratio"

blender/ops_modify_shape_key.py

@@ -51,8 +51,8 @@ class Mesh_ModifyShapeKey(blender_node.ObjectOps):
         # Create a new array of verts with sk as co and verts' groups
         new_verts = []
         for i, vert in enumerate(verts):
-            print(i)
-            print(sk.data[i].co)
+            # print(i)
+            # print(sk.data[i].co)
             new_vert = {
                 'co': sk.data[i].co,
                 'groups': vert.groups
@@ -129,6 +129,6 @@ class Mesh_ModifyShapeKey(blender_node.ObjectOps):
             new_pos = center + vec
 
             # Apply new position
-            print(i, vert['co'], new_pos, weight)
+            # print(i, vert['co'], new_pos, weight)
 
             sk.data[i].co = new_pos

blender/ops_plane_texture_unwrap.py

@@ -5,7 +5,7 @@ class Object_PlaneTextureUnwrap(blender_node.EditOps):
 
     EXTRA_INPUT_TYPES = {
         "image": ("IMAGE",),
-        "scale": ('FLOAT', {'default': 1, }),
+        "scale": ('FLOAT', {'default': 1, "display": "number", "step": 0.01}),
         "texture_name": ('STRING', {'default': 'Texture', })
     }
 

blender/plane.py

@@ -1,74 +0,0 @@
-class Plane:
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "division": ("INT", {
-                    "default": 0, 
-                    "min": 0,
-                    "max": 256,
-                    "step": 1,
-                    "display": "number" 
-                }),
-                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), # For disabling cache
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, division, seed):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        # Define coordinates for the plane to object mode 
-        if bpy.context.active_object is not None:
-            bpy.ops.object.mode_set(mode='OBJECT')
-        coords = [(-1, -1, 0), (1, -1, 0), (-1, 1, 0), (1, 1, 0)]
-
-        # Create a mesh object
-        mesh = bpy.data.meshes.new(name="PlaneMesh")
-        mesh.from_pydata(coords,[],[(0,1,3,2)])
-
-        # Create a new object with the mesh
-        object_a = bpy.data.objects.new(name="PlaneObject", object_data=mesh)
-        bpy.ops.object.select_all(action='DESELECT')
-        bpy.context.collection.objects.link(object_a)
-        bpy.context.view_layer.objects.active = object_a
-        object_a.select_set(True)
-
-        # Invert the Y axis of the UV to fix the vertical inversion
-        bpy.ops.transform.resize(value=(-1, -1, 1))
-        
-        # Create a new UV map
-        uv_map = mesh.uv_layers.new(name="newUV")
-        mesh.uv_layers.active = uv_map
-
-        # Unwrap the mesh
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.uv.unwrap()
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        # Subdivide the plane
-        if division > 0:
-            original_mode = bpy.context.object.mode
-            bpy.ops.object.mode_set(mode='EDIT')
-            bpy.ops.mesh.subdivide(number_cuts=division)
-            bpy.ops.object.mode_set(mode=original_mode)
-
-        sk_basis = object_a.shape_key_add(name='Basis')
-
-        return ([object_a],)
-
-NODE_CLASS_MAPPINGS = {
-    "Plane": Plane
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "Plane": "Plane (Old)"
-}

blender/scale_vertex.py

@@ -1,55 +0,0 @@
-class ScaleVertex():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                "extrude": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, extrude):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-        
-        if len(bpy_objs_target) == 0:
-            # throw error
-            return
-
-        target_object = bpy_objs_target[0]
-
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='SELECT')
-
-        bpy.ops.transform.resize(
-            value=(extrude, extrude, 1), constraint_axis=(False, False, False))
-
-        # remove the extruded vertex from the vertex group "name"
-        # bpy.ops.object.vertex_group_remove_from()
-
-        # bpy.ops.mesh.delete(type='FACE')
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-        return ([target_object],)
-
-    
-NODE_CLASS_MAPPINGS = {
-    "ScaleVertex": ScaleVertex
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "ScaleVertex": "Scale Vertex"
-}

blender/texture.py

@@ -1,92 +0,0 @@
-class Texture:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "bpy_objs": ("BPY_OBJS",),
-                "texture": ("IMAGE",),
-                "texture_name": ("STRING", {
-                    "multiline": False,
-                    "default": "my_image"
-                }),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    # OUTPUT_NODE = False
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs, texture, texture_name):
-        import numpy as np
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        # Convert image to numpy
-        texture = texture[0].numpy()
-
-        # Flip the image vertically
-        texture = np.flipud(texture)
-        
-        # Create an image with the required dimensions
-        img = bpy.data.images.new(texture_name, width=texture.shape[1], height=texture.shape[0])
-
-        # If there is no alpha channel, append one full of 1's
-        if texture.shape[2] == 3:
-            alpha_channel = np.ones((*texture.shape[:2], 1))
-            texture = np.concatenate((texture, alpha_channel), axis=2)
-
-        # Flatten image data and rearrange color channels for blender
-        img.pixels = texture.ravel()
-
-        # Pack image to store it within .blend file
-        img.pack()
-
-        # Save image to a file
-        # img.filepath_raw = 'test.png'
-        # img.file_format = 'PNG'
-        # img.save()
-
-        # Get the active object
-        obj = bpy_objs[0]
-
-        # Create a material
-        mat = bpy.data.materials.new("MaterialName")
-        mat.use_nodes = True
-        nodes = mat.node_tree.nodes
-        for node in nodes:
-            nodes.remove(node)
-
-        # Add a new texture node
-        texture_node = nodes.new(type='ShaderNodeTexImage')
-        texture_node.image = img
-    
-        # Add a new BSDF node
-        bsdf_node = nodes.new(type='ShaderNodeBsdfPrincipled')
-
-        # Add a new output node
-        output_node = nodes.new(type='ShaderNodeOutputMaterial')
-
-        # Link nodes together
-        links = mat.node_tree.links
-        links.new(bsdf_node.inputs['Base Color'], texture_node.outputs['Color'])
-        links.new(output_node.inputs['Surface'], bsdf_node.outputs['BSDF'])
-
-        # Assign the material to the active object
-        if obj.data.materials:
-            obj.data.materials[0] = mat
-        else:
-            obj.data.materials.append(mat)
-        return (bpy_objs,)
-
-NODE_CLASS_MAPPINGS = {
-    "Texture": Texture
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "Texture": "Texture"
-}

blender/transform_object.py

@@ -1,45 +0,0 @@
-class TransfromObject():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-                "x": ("FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}),
-                "y": ("FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}),
-                "z": ("FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step": 0.01, "display": "number"}),
-
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target, x, y, z):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        target_object = bpy_objs_target[0]
-
-        bpy.ops.object.select_all(action='DESELECT')
-        bpy.context.view_layer.objects.active = target_object
-
-        # move the object in level transformation
-        target_object.location.x += x
-        target_object.location.y += y
-        target_object.location.z += z
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "TransfromObject": TransfromObject
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "TransfromObject": "Transfrom Object"
-}

blender/uv_unwrap.py

@@ -1,50 +0,0 @@
-class UV_Unwrap():
-    @classmethod
-    def INPUT_TYPES(s):
-
-        return {
-            "required": {
-                "bpy_objs_target": ("BPY_OBJS",),
-            },
-        }
-
-    RETURN_TYPES = ("BPY_OBJS",)
-    RETURN_NAMES = ("bpy_objs",)
-
-    FUNCTION = "process"
-
-    CATEGORY = "mesh"
-
-    def process(self, bpy_objs_target):
-        import global_bpy
-        bpy = global_bpy.get_bpy()
-
-        target_object = bpy_objs_target[0]
-
-        bpy.context.view_layer.objects.active = target_object
-        bpy.ops.object.mode_set(mode='OBJECT')
-        # deselect all objects
-        bpy.ops.object.select_all(action='DESELECT')
-        # select only the target object
-        bpy.context.view_layer.objects.active = target_object
-        # enter enter edit mode and select all faces of the object to fill
-        bpy.ops.object.mode_set(mode='EDIT')
-        bpy.ops.mesh.select_all(action='SELECT')
-
-        # perform a cube projection unwrap
-        bpy.ops.uv.cube_project(cube_size=1.0, correct_aspect=True, clip_to_bounds=False, scale_to_bounds=True)
-
-        # bpy.ops.mesh.delete(type='FACE')
-        bpy.ops.object.mode_set(mode='OBJECT')
-
-
-        return ([target_object],)
-
-
-NODE_CLASS_MAPPINGS = {
-    "UV_Unwrap": UV_Unwrap
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "UV_Unwrap": "UV Unwrap"
-}

common/point_visualizer.py

@@ -1,52 +0,0 @@
-import torch
-from einops import rearrange
-from nodes import PreviewImage
-
-class PointVisualizer(PreviewImage):
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "images": ("IMAGE",),
-                "point": ("VECTOR3D",),
-                "point_size": ("INT", {
-                    "default": 1, 
-                    "min": 10,
-                    "max": 20,
-                    "step": 1,
-                    "display": "number"
-                }),
-            },
-        }
-
-    FUNCTION = "process"
-
-    CATEGORY = "image"
-
-    def process(self, images, point, point_size):
-        x, y, z = point
-        h, w, c = images[0].shape
-        point_image = torch.zeros(images[0].shape)
-
-        center_x, center_y, _ = point
-        top_left_x = center_x - point_size // 2
-        top_left_y = center_y - point_size // 2
-
-        # Make sure the square is within the image boundaries
-        top_left_x = max(0, min(w - point_size, top_left_x))
-        top_left_y = max(0, min(h - point_size, top_left_y))
-
-        point_image[top_left_y:top_left_y+point_size, top_left_x:top_left_x+point_size] = 1
-        point_image = rearrange(point_image, 'h w c -> 1 h w c')
-
-        # Blending
-        images = images * 0.2 + point_image * 0.8
-        return self.save_images(images)
-
-NODE_CLASS_MAPPINGS = {
-    "PointVisualizer": PointVisualizer
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "PointVisualizer": "Point Visualizer"
-}

common/vector3d.py

@@ -1,45 +0,0 @@
-class VECTOR3D:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "x": ("INT", {
-                    "default": 0, 
-                    "min": -1024,
-                    "max": 1024,
-                    "step": 1,
-                    "display": "number"
-                }),
-                "y": ("INT", {
-                    "default": 0, 
-                    "min": -1024,
-                    "max": 1024,
-                    "step": 1,
-                    "display": "number"
-                }),
-                "z": ("INT", {
-                    "default": 0, 
-                    "min": -1024,
-                    "max": 1024,
-                    "step": 1,
-                    "display": "number"
-                }),
-            },
-        }
-
-    RETURN_TYPES = ("VECTOR3D",)
-
-    FUNCTION = "run"
-
-    CATEGORY = "utils"
-
-    def run(self, x, y, z):
-        return ([x, y, z],)
-
-NODE_CLASS_MAPPINGS = {
-    "VECTOR3D": VECTOR3D
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "VECTOR3D": "Vector 3D"
-}

global_bpy.py

@@ -1,37 +1,49 @@
 import bpy
-global_bpy = bpy
 
-def get_bpy(): 
-    global global_bpy
+global_bpy = bpy
+should_reset_scene = True
+
+
+def set_should_reset_scene(value):
+    global should_reset_scene
+    should_reset_scene = value
+
+
+def get_bpy():
+    global global_bpy, should_reset_scene
+    if should_reset_scene:
+        reset_bpy()
+        should_reset_scene = False
     return global_bpy
 
+
 def reset_bpy():
     global global_bpy
     bpy = global_bpy
     # not using this cause this cause seg fault frequently
-    # global_bpy.ops.wm.read_factory_settings(use_empty=True)
+    bpy.ops.wm.read_factory_settings(use_empty=True)
 
-    # check if there's no object, return
-    if len(bpy.data.objects) == 0:
-        return
+    # # check if there's no object, return
+    # if len(bpy.data.objects) == 0:
+    #     return
 
-    # enter object mode
-    if bpy.context.mode != 'OBJECT':
-        bpy.ops.object.mode_set(mode='OBJECT')
+    # # enter object mode
+    # if bpy.context.mode != 'OBJECT':
+    #     bpy.ops.object.mode_set(mode='OBJECT')
 
-    # Delete all objects
-    bpy.ops.object.select_all(action='DESELECT')
-    bpy.ops.object.select_all(action='SELECT')
-    bpy.ops.object.delete()
+    # # Delete all objects
+    # bpy.ops.object.select_all(action='DESELECT')
+    # bpy.ops.object.select_all(action='SELECT')
+    # bpy.ops.object.delete()
 
-    # Delete all meshes
-    for mesh in bpy.data.meshes:
-        bpy.data.meshes.remove(mesh)
+    # # Delete all meshes
+    # for mesh in bpy.data.meshes:
+    #     bpy.data.meshes.remove(mesh)
 
-    # Delete all materials
-    for material in bpy.data.materials:
-        bpy.data.materials.remove(material)
+    # # Delete all materials
+    # for material in bpy.data.materials:
+    #     bpy.data.materials.remove(material)
 
-    # Delete all textures
-    for texture in bpy.data.textures:
-        bpy.data.textures.remove(texture)
+    # # Delete all textures
+    # for texture in bpy.data.textures:
+    #     bpy.data.textures.remove(texture)

js/Alert.js

@@ -0,0 +1,28 @@
+import { alertDialog } from "./state.js";
+import { van } from "./van.js";
+const { div, span } = van.tags;
+
+export function Alert() {
+  van.derive(() => {
+    if (alertDialog.val.time > 0) {
+      setTimeout(() => {
+        alertDialog.val = { text: "", time: 0 };
+      }, alertDialog.val.time);
+    }
+  });
+
+  return div(
+    {
+      class: () =>
+        "absolute bottom-8 flex justify-center w-full " +
+        (alertDialog.val.text ? "" : "hidden"),
+    },
+    div(
+      {
+        class:
+          "bg-orange-100 border-t-4 border-orange-500 rounded-sm text-orange-700 p-2",
+      },
+      () => span(alertDialog.val.text)
+    )
+  );
+}

js/AvatarEditor.js

@@ -1,32 +0,0 @@
-import { iframeSrc, showEditor } from './state.js';
-import { van } from './van.js';
-const { button, iframe, div, img } = van.tags;
-
-export function AvatarEditor() {
-  return div(
-    {
-      class: 'w-full h-full',
-    },
-    button(
-      {
-        class: () =>
-          'px-4 py-2 rounded-md absolute left-0 top-0 z-[100] bg-gray-800 pointer-events-auto ' +
-          (showEditor.val ? '' : 'hidden'),
-        onclick: () => {
-          console.log('close');
-          showEditor.val = false;
-        },
-      },
-      'back',
-    ),
-    iframe({
-      id: 'avatech-editor-iframe',
-      title: 'avatech-editor-iframe',
-      name: 'avatech-editor-iframe',
-      allow: "cross-origin-isolated",
-      class: () =>
-        'w-full h-full pointer-events-auto ' + (showEditor.val ? '' : 'hidden'),
-      src: iframeSrc,
-    }),
-  );
-}

js/AvatarPreview.js

@@ -1,8 +1,8 @@
 import { van } from "./van.js";
-import { showEditor } from "./state.js";
 const { button, iframe, div, img } = van.tags;
+import { showEditor, previewUrl } from "./state.js";
 
-export function AvatarViewer() {
+export function AvatarPreview() {
   return div(
     {
       class: () =>
@@ -17,8 +17,9 @@ export function AvatarViewer() {
       class: () =>
         "w-full h-full flex pointer-events-auto rounded-2xl border-none " +
         (!showEditor.val ? "" : "hidden"),
-      src: "https://labs.avatech.ai/viewer/default",
-      // src: 'http://localhost:3000/viewer/default',
-    })
+      // src: "https://labs.avatech.ai/viewer/default",
+      // src: "http://localhost:3000/viewer/default",
+      src: previewUrl,
+    }),
   );
 }

js/Container.js

@@ -1,19 +1,21 @@
-import { ImageEditor } from './ImageEditor.js';
-import { AvatarEditor } from './AvatarEditor.js';
+import { LayerEditor } from './LayerEditor.js';
+import { ShapeFlowEditor } from './ShapeFlowEditor.js';
 import { van } from './van.js';
-import { AvatarViewer } from './AvatarViewer.js';
+import { AvatarPreview } from './AvatarPreview.js';
 import { Loading } from './Loading.js';
+import { Alert } from './Alert.js';
 const { button, iframe, div, img } = van.tags;
 
 export function Container() {
   return div(
     {
-      class: 'fixed left-0 top-0 w-full h-full z-[200] pointer-events-none',
+      class: 'fixed left-0 top-0 w-full h-full z-[1000] pointer-events-none',
       id: 'avatech-editor',
     },
-    AvatarEditor(),
-    ImageEditor(),
-    AvatarViewer(),
-    Loading()
+    ShapeFlowEditor(),
+    LayerEditor(),
+    AvatarPreview(),
+    Loading(),
+    Alert(),
   );
 }

js/LayerEditor.js

@@ -101,7 +101,7 @@ export function drawSegment(clicks) {
 
 initModel();
 
-export function ImageEditor() {
+export function LayerEditor() {
   let realTimeSegment = true;
   document.addEventListener("keydown", (e) => {
     if (showImageEditor.val && e.code === "Tab") {

js/Loading.js

@@ -1,17 +1,17 @@
-import { showLoading } from "./state.js";
+import { loadingCaption, showLoading } from "./state.js";
 import { van } from "./van.js";
 const { div, span } = van.tags;
 
 export function Loading() {
-  console.log("???", showLoading.val);
   return div(
     {
       class: () =>
-        "absolute flex justify-center items-center top-0 left-0 bg-gray-900 bg-opacity-50 pointer-events-auto w-full h-full " +
+        "absolute flex flex-col justify-center items-center top-0 left-0 bg-gray-900 bg-opacity-50 pointer-events-auto w-full h-full " +
         (showLoading.val ? "" : "hidden"),
     },
     span({
-      class: "loading loading-spinner loading-lg",
-    })
+      class: "loading loading-spinner loading-lg mb-2",
+    }),
+    () => span(loadingCaption.val)
   );
 }

js/ShapeFlowEditor.js

@@ -0,0 +1,82 @@
+import { iframeSrc, showEditor } from "./state.js";
+import { van } from "./van.js";
+const { button, iframe, div, img, span, dialog, form } = van.tags;
+
+export function ShapeFlowEditor() {
+  return div(
+    {
+      class: "w-full h-full relative",
+    },
+    button(
+      {
+        class: () =>
+          "ml-2 mt-2 btn btn-circle flex flex-row btn-ghost normal-case absolute px-4 rounded-md left-0 top-0 z-[200] w-fit pointer-events-auto bg-black " +
+          (showEditor.val ? "" : "hidden"),
+        onclick: () => {
+          console.log("close");
+          document.getElementById("alert-dialog").showModal();
+        },
+      },
+      span({
+        class: "iconify text-lg",
+        "data-icon": "ic:baseline-arrow-back",
+        "data-inline": "false",
+      }),
+      div("Back & Save")
+    ),
+    iframe({
+      id: "avatech-editor-iframe",
+      title: "avatech-editor-iframe",
+      name: "avatech-editor-iframe",
+      allow: "cross-origin-isolated; clipboard-read; clipboard-write",
+      class: () =>
+        "w-full h-full pointer-events-auto " + (showEditor.val ? "" : "hidden"),
+      src: iframeSrc,
+    }),
+    dialog(
+      {
+        id: "alert-dialog",
+        class: "modal modal-bottom sm:modal-middle",
+      },
+      div(
+        {
+          class: "modal-box",
+        },
+        div({ class: "text-black" }, "This is a dialog"),
+        div(
+          { class: "modal-action" },
+          form(
+            { method: "dialog", class: "flex flex-row gap-4" },
+            button(
+              {
+                class: "btn",
+                onclick: () => {
+                  showEditor.val = false;
+                },
+              },
+              "Discard"
+            ),
+            button(
+              {
+                class: "btn",
+                onclick: () => {
+                  const editor = document.getElementById(
+                    "avatech-editor-iframe"
+                  );
+                  editor.contentWindow.postMessage(
+                    {
+                      method: "back",
+                    },
+                    "*"
+                  );
+                  showEditor.val = false;
+                },
+              },
+              "Save & Close"
+            )
+          )
+        )
+      )
+    )
+  );
+}

js/SideBar.js

@@ -1,9 +1,10 @@
-import { drawSegment, getClicks, updateImagePrompts } from "./ImageEditor.js";
+import { drawSegment, getClicks, updateImagePrompts } from "./LayerEditor.js";
 import {
   imagePrompts,
   selectedLayer,
   imagePromptsMulti,
   targetNode,
+  showImageEditor,
 } from "./state.js";
 import { van } from "./van.js";
 const {
@@ -22,6 +23,39 @@ const {
   span,
 } = van.tags;
 
+van.derive(() => {
+  if (
+    showImageEditor.val &&
+    targetNode.val != undefined &&
+    targetNode.val.outputs && targetNode.val.type === 'SAM'
+  ) {
+    const outputNames = targetNode.val.outputs.map((x) => x.name).slice(1);
+    const record = Object.keys(imagePromptsMulti.val);
+
+    const diff = outputNames.filter((x) => !record.includes(x));
+    const missingDiff = record.filter((x) => !outputNames.includes(x));
+
+    if (diff.length > 0) {
+      console.log("Cleaning up missing output slots", diff);
+      diff.forEach((x) => {
+        targetNode.val.removeOutput(targetNode.val.findOutputSlot(x));
+      });
+      targetNode.val.graph.change();
+    }
+
+    if (missingDiff.length > 0) {
+      console.log("Adding missing output slots", diff);
+      missingDiff.forEach((x) => {
+        targetNode.val.addOutput(
+          x,
+          targetNode.val.type === "SAM" ? "IMAGE" : "SAM_PROMPT"
+        );
+      });
+      targetNode.val.graph.change();
+    }
+  }
+});
+
 export function SideBar() {
   const layer_to_delete = van.state("");
 
@@ -140,10 +174,6 @@ export function SideBar() {
                 imagePrompts.val = [];
               }
             }
-            const outputIndex = targetNode.val.findOutputSlot(
-              layer_to_delete.val
-            );
-            targetNode.val.removeOutput(outputIndex);
             targetNode.val.graph.change();
             updateImagePrompts();
             delete_layer_dialog.close();
@@ -171,18 +201,10 @@ export function SideBar() {
                 console.log(inputText, imagePromptsMulti.val);
                 my_modal_3.close();
                 e.target.elements[1].value = "";
-                targetNode.val.addOutput(
-                  inputText,
-                  targetNode.val.type === "SAM" ? "IMAGE" : "SAM_PROMPT"
-                );
-                targetNode.val.graph.change();
-                if (
-                  selectedLayer.val === null ||
-                  selectedLayer.val === undefined ||
-                  selectedLayer.val === ""
-                ) {
-                  selectedLayer.val = inputText;
-                }
+
+                selectedLayer.val = inputText;
+                imagePrompts.val = imagePromptsMulti.val[inputText];
+                drawSegment(getClicks());
                 updateImagePrompts();
               },
             },

js/index.js

@@ -10,6 +10,8 @@ import {
   imagePromptsMulti,
   selectedLayer,
   showLoading,
+  loadingCaption,
+  alertDialog,
 } from "./state.js";
 import { van } from "./van.js";
 import { app } from "./app.js";
@@ -17,7 +19,13 @@ import { api } from "./api.js";
 import { Container } from "./Container.js";
 import { loadNpyTensor } from "./onnx.js";
 import "https://code.iconify.design/3/3.1.0/iconify.min.js";
-import { drawSegment, getClicks } from "./ImageEditor.js";
+import { drawSegment, getClicks } from "./LayerEditor.js";
+
+const stylesheet = document.createElement('link')
+stylesheet.setAttribute('type', "text/css")
+stylesheet.setAttribute('rel', "stylesheet")
+stylesheet.setAttribute('href', './avatar-graph-comfyui/tw-styles.css')
+document.head.appendChild(stylesheet)
 
 /** @type {import( '../../../web/types/litegraph.js').LGraphGroup} */
 const recomputeInsideNodesOps = LGraphGroup.prototype.recomputeInsideNodes;
@@ -199,7 +207,7 @@ function openInAvatechEditor(url, fileName) {
       key: "key",
       value: fileName,
       method: "store",
-      blendshapes: targetNode.val.widgets.find((x) => x.name === "blendshapes")
+      blendshapes: targetNode.val.widgets.find((x) => x.name === "shape_flow")
         .value,
     },
     "*"
@@ -207,7 +215,7 @@ function openInAvatechEditor(url, fileName) {
 }
 
 function updateBlendshapesPrompts(value) {
-  targetNode.val.widgets.find((x) => x.name === "blendshapes").value = value;
+  targetNode.val.widgets.find((x) => x.name === "shape_flow").value = value;
   targetNode.val.graph.change();
 }
 
@@ -287,9 +295,17 @@ const ext = {
     return {
       SAM_PROMPTS(node, inputName, inputData, app) {
         const btn = node.addWidget("button", "Edit prompt", "", () => {
-          showLoading.val = true;
-
           let connectedImageFileName = getInputWidgetValue(node, 0, "image");
+          if (!connectedImageFileName) {
+            alertDialog.val = {
+              text: "Please connect an image first",
+              time: 3000,
+            };
+            return;
+          }
+
+          loadingCaption.val = "Computing image embedding...";
+          showLoading.val = true;
 
           const split = connectedImageFileName.split("/");
           let id = connectedImageFileName;
@@ -298,9 +314,6 @@ const ext = {
           node.widgets.find((x) => x.name === "embedding_id").value = id;
 
           const ckpt = node.widgets.find((x) => x.name === "ckpt").value;
-          const model_type = node.widgets.find(
-            (x) => x.name === "model_type"
-          ).value;
 
           api
             .fetchApi("/sam_model", {
@@ -309,12 +322,15 @@ const ext = {
                 image: connectedImageFileName,
                 embedding_id: id,
                 ckpt,
-                model_type,
               }),
             })
             .then(() => {
               showLoading.val = false;
               showMyImageEditor(node);
+            })
+            .catch((err) => {
+              console.log(err);
+              showLoading.val = false;
             });
         });
         btn.serialize = false;
@@ -324,7 +340,7 @@ const ext = {
         };
       },
       BLENDSHAPES_CONFIG(node, inputName, inputData, app) {
-        const btn = node.addWidget("button", "Edit blendshapes", "", () => {
+        const btn = node.addWidget("button", "Edit Shape Flow", "", () => {
           targetNode.val = node;
           openInAvatechEditor(
             "https://editor.avatech.ai?comfyui=true",
@@ -401,11 +417,23 @@ const ext = {
           api.api_base +
           `/view?filename=${evt.detail?.output.gltfFilename[0]}`;
 
+        if (
+          gltfFilename.endsWith(".ava") &&
+          evt.detail?.output.auto_save[0] == "true"
+        ) {
+          const link = document.createElement("a");
+          link.href = gltfFilename;
+          link.download = gltfFilename.split("/").pop();
+          document.body.appendChild(link);
+          link.click();
+          document.body.removeChild(link);
+        }
+
         fileName.val = gltfFilename;
         viewer.postMessage(
           JSON.stringify({
             avatarURL: gltfFilename,
-            blendshapes: evt.detail?.output.blendshapes[0],
+            blendshapes: evt.detail?.output.SHAPE_FLOW[0],
           }),
           "*"
         );
@@ -417,7 +445,12 @@ const ext = {
       (event) => {
         if (event.key === "Escape") {
           event.preventDefault();
-          showImageEditor.val = false;
+          if (my_modal_3.open) {
+            my_modal_3.close();
+          } else {
+            showImageEditor.val = false;
+            showEditor.val = false;
+          }
         }
       },
       {
@@ -477,6 +510,36 @@ const ext = {
 
   async beforeRegisterNodeDef(nodeType, nodeData, app) {
     switch (nodeData.name) {
+      case "AvatarMainOutput":
+        addMenuHandler(nodeType, function (_, options) {
+          const output = app.nodeOutputs[this.id + ""];
+          if (!output || !output.gltfFilename) return;
+
+          const gltfFilename =
+            window.location.protocol +
+            "//" +
+            api.api_host +
+            api.api_base +
+            `/view?filename=${output.gltfFilename[0]}`;
+
+          options.unshift({
+            content: "Save file",
+            callback: () => {
+              const a = document.createElement("a");
+              let url = new URL(gltfFilename);
+              url.searchParams.delete("preview");
+              a.href = url;
+              a.setAttribute(
+                "download",
+                new URLSearchParams(url.search).get("filename")
+              );
+              document.body.append(a);
+              a.click();
+              requestAnimationFrame(() => a.remove());
+            },
+          });
+        });
+        break;
       case "ExportGLTF":
         addMenuHandler(nodeType, function (_, options) {
           const output = app.nodeOutputs[this.id + ""];
@@ -555,17 +618,6 @@ const ext = {
         break;
       case "CreateShapeFlow":
         nodeData.input.required.blendshape = ["BLENDSHAPES_CONFIG"];
-        addMenuHandler(nodeType, function (_, options) {
-          options.unshift({
-            content: "Open In Blendshapes Editor",
-            callback: () => {
-              openInAvatechEditor(
-                "https://editor.avatech.ai?comfyui=true",
-                gltfFilename
-              );
-            },
-          });
-        });
         break;
       case "Mesh_JoinMesh":
         nodeData.input.required.obj = ["MESH_GROUP_CONFIG"];

js/state.js

@@ -12,14 +12,23 @@
  * @property {number} label - The label
  */
 
-import { van } from './van.js';
+import { van } from "./van.js";
 
-export const iframeSrc = van.state('https://editor.avatech.ai?comfyui=true');
+export const iframeSrc = van.state("https://editor.avatech.ai?comfyui=true");
 export const showEditor = van.state(false);
+export const previewUrl = van.state("https://editor.avatech.ai/viewer?avatarId=default&hideUI=true&debug=true&width=300&height=300&showAudioControl=true");
+// export const previewUrl = van.state("http://localhost:3006/viewer?avatarId=default&hideUI=true&debug=true&width=300&height=300&showAudioControl=true");
+export const isDirty = van.state(false);
 export const fileName = van.state('');
 export const showImageEditor = van.state(false);
 export const showLoading = van.state(false);
-export const imageUrl = van.state('');
+export const alertDialog = van.state({
+  text: "",
+  time: 0,
+});
+
+export const loadingCaption = van.state("");
+export const imageUrl = van.state("");
 export const point_label = van.state(1);
 export const imageContainerSize = van.state({
   width: 0,

package.json

@@ -4,14 +4,13 @@
   "description": "",
   "main": "index.js",
   "scripts": {
-    "dev": "concurrently \"tailwindcss -i ./js/style.css -o ./js/output.css --watch -m\" \"node ./style-watcher.js\""
+    "dev": "tailwindcss -i ./js/styles.css -o ./js/tw-styles.css --watch"
   },
   "keywords": [],
   "author": "",
   "license": "ISC",
   "devDependencies": {
     "chokidar": "^3.5.3",
-    "concurrently": "^8.2.1",
     "daisyui": "^3.7.5",
     "tailwindcss": "^3.3.3"
   }

requirements.txt

@@ -5,4 +5,5 @@ opencv-contrib-python
 einops
 bpy
 segment-anything
+tqdm
 # -e git+https://github.com/facebookresearch/segment-anything.git#egg=segment_anything

routes.py

@@ -7,6 +7,7 @@ import folder_paths
 import json
 import numpy as np
 import server
+import re
 
 # For speeding up ONNX model, see https://github.com/facebookresearch/segment-anything/tree/main/demo#onnx-multithreading-with-sharedarraybuffer
 def inject_headers(original_handler):
@@ -31,6 +32,10 @@ for item in server.PromptServer.instance.routes._items:
     routes.append(item)
 server.PromptServer.instance.routes._items = routes
 
+@server.PromptServer.instance.routes.get("/avatar-graph-comfyui/tw-styles.css")
+async def get_web_styles(request):
+    filename = os.path.join(os.path.dirname(__file__), "js/tw-styles.css")
+    return web.FileResponse(filename)
 
 @server.PromptServer.instance.routes.get("/sam_model")
 async def get_sam_model(request):
@@ -65,8 +70,8 @@ async def post_sam_model(request):
     if not os.path.exists(emb_filename):
         image = load_image(post.get("image"))
         ckpt = post.get("ckpt")
-        model_type = post.get("model_type")
-        ckpt = folder_paths.get_full_path("sam", ckpt)
+        model_type = re.findall(r'vit_[lbh]', ckpt)[0]
+        ckpt = folder_paths.get_full_path("sams", ckpt)
         sam = sam_model_registry[model_type](checkpoint=ckpt)
         predictor = SamPredictor(sam)
 

sam/avatar_segmentation.py

@@ -1,67 +0,0 @@
-import torch
-from einops import rearrange, repeat
-from torchvision import transforms
-from PIL import Image
-import numpy as np
-import cv2
-import base64
-import requests
-import json
-import io
-
-class AvatarSegmentation:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "image": ("IMAGE",),
-            }
-        }
-
-    RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE")
-    RETURN_NAMES = ("back_hair", "front_hair","eyes", "eyelashes", "mouth")
-
-    FUNCTION = "segment"
-
-    CATEGORY = "image"
-
-    def segment(self, image):
-        # Convert tensor to PIL image
-        image = image[0]
-        image = rearrange(image, 'h w c -> c h w')
-        image = transforms.ToPILImage()(image)
-        
-        # Save image to in-memory file
-        image_buff = io.BytesIO()
-        image.save(image_buff, format="PNG")
-        image_string = base64.b64encode(image_buff.getvalue()).decode("utf-8") 
-
-        # Send request to API
-        url = 'https://q41iq6s6t8.execute-api.ap-southeast-1.amazonaws.com/seg-cpu'
-        headers = {
-            'content-type': 'application/json'
-        }
-        data = {
-            'img_str': image_string
-        }
-        response = requests.post(url, headers=headers, data=json.dumps(data))
-
-        # Convert response to tensors
-        outs = []
-        masks = response.json()
-        for segment_name, img_str in masks.items():
-            mask = base64.b64decode(img_str.encode('utf-8'))
-            mask = Image.open(io.BytesIO(mask))
-            mask = np.array(mask)
-            mask = torch.from_numpy(mask) # shape: H, W, 3
-            mask = rearrange(mask, 'h w c -> 1 h w c')
-            outs.append(mask)
-        return outs
-
-NODE_CLASS_MAPPINGS = {
-    "AvatarSegmentation": AvatarSegmentation
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "AvatarSegmentation": "Avatar Segmentation"
-}

sam/sam.py

@@ -2,6 +2,7 @@ import folder_paths
 import os
 import numpy as np
 import torch
+import re
 from segment_anything import sam_model_registry, SamPredictor
 from einops import rearrange, repeat
 
@@ -24,8 +25,7 @@ class SAM:
         return {
             "required": {
                 "image": ("IMAGE",),
-                "model_type": (["vit_h", "vit_l", "vit_b"],),
-                "ckpt": (folder_paths.get_filename_list("sam"),),
+                "ckpt": (folder_paths.get_filename_list("sams"),),
                 "embedding_id": (
                     "STRING",
                     {"multiline": False, "default": "embedding"},
@@ -40,13 +40,14 @@ class SAM:
     RETURN_TYPES = ("SAM_PROMPT",)
     FUNCTION = "load_image"
 
-    def load_image(self, image, model_type, ckpt, embedding_id, image_prompts_json):
+    def load_image(self, image, ckpt, embedding_id, image_prompts_json):
         import json
 
         global global_predictor
 
         if global_predictor is None:
-            ckpt = folder_paths.get_full_path("sam", ckpt)
+            ckpt = folder_paths.get_full_path("sams", ckpt)
+            model_type = re.findall(r'vit_[lbh]', ckpt)[0]
             sam = sam_model_registry[model_type](checkpoint=ckpt)
             predictor = SamPredictor(sam)
             global_predictor = predictor
@@ -59,6 +60,13 @@ class SAM:
             predictor.set_image(image_np)
             emb = predictor.get_image_embedding().cpu().numpy()
             np.save(emb_filename, emb)
+
+            with open(f"{self.output_dir}/{embedding_id}.json", "w") as f:
+                data = {
+                    "input_size": predictor.input_size,
+                    "original_size": predictor.original_size,
+                }
+                json.dump(data, f)
         else:
             emb = np.load(emb_filename)
 

sam/sam_load_emb.py

@@ -1,52 +0,0 @@
-import folder_paths
-import torch
-from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
-from einops import rearrange, repeat
-
-
-class SAM_Load_Embedding:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "filename": ("STRING", {
-                    "multiline": False,
-                    "default": "embeddings"
-                }),
-                "embedding_id": ("STRING", {
-                    "multiline": False,
-                    "default": "embedding"
-                }),
-            }
-        }
-
-    RETURN_TYPES = ("EMBEDDINGS",)
-    RETURN_NAMES = ("EMBEDDINGS",)
-
-    OUTPUT_NODE = True
-
-    FUNCTION = "process"
-
-    CATEGORY = "image"
-
-    def process(self, filename, embedding_id):
-        import json
-        import numpy as np
-
-        data = {}
-        with open(filename, 'r') as f:
-            data = json.load(f)
-
-        # Convert list to numpy ndarray
-        data['image_embedding'] = np.array(data['image_embedding'])
-
-        return (data, )
-
-
-NODE_CLASS_MAPPINGS = {
-    "SAM_Load_Embedding": SAM_Load_Embedding
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "SAM_Load_Embedding": "SAM_Load_Embedding "
-}

sam/sam_loader.py

@@ -1,42 +0,0 @@
-import folder_paths
-import torch
-from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
-from einops import rearrange, repeat
-import requests
-from PIL import Image
-import io
-import numpy as np
-from segment_anything import SamAutomaticMaskGenerator, sam_model_registry, SamPredictor
-from einops import rearrange, repeat
-
-class SAM_Remote_Emb:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "model_type": (["vit_h", "vit_l", "vit_b"],),
-                "ckpt": (folder_paths.get_filename_list("sam"),),
-            },
-        }
-
-    RETURN_TYPES = ("SAM", "SAMPREDICTOR")
-    RETURN_NAMES = ("sam", "predictor")
-
-    FUNCTION = "segment"
-
-    CATEGORY = "image"
-
-    def segment(self, model_type, ckpt):
-        ckpt = folder_paths.get_full_path("sam", ckpt)
-        sam = sam_model_registry[model_type](checkpoint=ckpt)
-        predictor = SamPredictor(sam)
-
-        return (sam, predictor)
-
-NODE_CLASS_MAPPINGS = {
-    "SAM_Loader": SAM_Remote_Emb
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "SAM_Loader": "SAM Loader"
-}

sam/sam_node_from_emb.py

@@ -1,110 +0,0 @@
-import torch
-from einops import rearrange, repeat
-import numpy as np
-import cv2
-
-class SAM_Predict:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "image": ("IMAGE",),
-                "embeddings": ("EMBEDDINGS",),
-                "predictor": ("SAMPREDICTOR",),
-            },
-            "optional": {
-                "prompt": ("SAM_PROMPT", ),
-                "mask": ("IMAGE",),
-            }
-        }
-
-    RETURN_TYPES = ("IMAGE","IMAGE", "IMAGE")
-    RETURN_NAMES = ("image","out_image", "mask")
-
-    FUNCTION = "segment"
-
-    CATEGORY = "image"
-
-    def segment(self, image, embeddings, predictor, prompt, mask=None):
-        image_embedding_list = embeddings['image_embedding']
-        shape = tuple(embeddings['shape'])
-        input_size = tuple(embeddings['input_size'])
-
-        # Convert the list back to a numpy array with the original shape
-        image_embedding_np = np.array(image_embedding_list, dtype=np.single).reshape(shape)
-
-        # Convert the numpy array to a PyTorch tensor
-        image_embedding_tensor = torch.from_numpy(image_embedding_np)
-
-        # Set the image embeddings for the model
-        # predictor.set_torch_image(image_embedding_tensor, image.shape[:2])
-        # print(image[0].shape[:2])
-        predictor.input_size = input_size
-        predictor.features = image_embedding_tensor
-        predictor.is_image_set = True
-        predictor.original_size = image[0].shape[:2]
-
-        # prompt = [{"x":364,"y":153,"label":1},{"x":296,"y":189,"label":1},{"x":277,"y":246,"label":1}]
-
-        # if point_1 != None:
-            # x, y, z = point_1
-
-        # point_coords = np.array([[x, y]])
-        # point_labels = np.array([1])
-
-        if prompt == None or len(prompt) == 0:
-            return (image, image, None)
-
-        point_coords = np.array([[p['x'], p['y']] for p in prompt])
-        point_labels = np.array([p['label'] for p in prompt])
-
-        masks, iou_predictions, low_res_masks = predictor.predict(
-            point_coords=point_coords,
-            point_labels=point_labels,
-        )
-
-        if mask != None:
-            # scale the mask to 256x256
-            cv2_mask = cv2.resize(np.array(mask[0]), (256, 256))
-            cv2_mask = cv2_mask[np.newaxis, :, :]
-            cv2_mask = (cv2_mask * 255).astype(int)
-
-            true_locations = np.array(np.where(cv2_mask[0] == 255))
-            if true_locations.shape[1] > 0:
-                # Randomly select a point in the mask
-                rand_index = np.random.randint(true_locations.shape[1])
-                y, x = true_locations[:, rand_index]
-                point_coords = np.array([[x, y]])
-                point_labels = np.array([1])
-
-                masks, iou_predictions, low_res_masks = predictor.predict(
-                    point_coords=point_coords,
-                    point_labels=point_labels,
-                    mask_input=cv2_mask
-                )
-            else:
-                # No detected mask
-                h, w, c = image[0].shape
-                masks = np.zeros((1, h, w))
-
-        masks = torch.from_numpy(masks)
-
-        masks = rearrange(masks[0], 'h w -> 1 h w')
-        # masks = rearrange(masks, 'c h w -> 1 c h w')
-        out_image = repeat(masks, '1 h w -> 1 h w c', c=3) * image
-
-        print(masks.shape, torch.max(masks), torch.min(masks))
-        print(image.shape, torch.max(image), torch.min(image))
-
-        # print(emb)
-
-        # print(masks, out_image)
-        return (image, out_image, masks)
-
-NODE_CLASS_MAPPINGS = {
-    "SAM_Predict": SAM_Predict
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "SAM_Predict": "SAM Predict"
-}

sam/sam_node_remote.py

@@ -1,88 +0,0 @@
-import requests
-from PIL import Image
-import io
-import numpy as np
-import folder_paths
-
-class SAM_Embedding:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "image": ("IMAGE",),
-                "embedding_id": ("STRING", {
-                    "multiline": False,
-                    "default": "embedding"
-                }),
-            },
-            "optional": {
-                "predictor": ("SAMPREDICTOR",)
-            }
-        }
-
-    RETURN_TYPES = ("EMBEDDINGS", )
-    RETURN_NAMES = ("embeddings", )
-
-    FUNCTION = "segment"
-
-    CATEGORY = "image"
-
-    def segment(self, image, embedding_id, predictor=None):
-        # Convert PyTorch tensor to numpy array
-        image_np = (image[0].numpy() * 255).astype(np.uint8)
-        
-        if predictor != None:
-            predictor.set_image(image_np)
-            emb = predictor.get_image_embedding().cpu().numpy()
-            output = {
-                "image_embedding": emb,
-                "shape": emb.shape,
-                "input_size": predictor.input_size
-            }
-        else:
-            # Convert numpy array to PIL Image
-            img = Image.fromarray(image_np)
-
-            # Create an in-memory bytes buffer
-            img_byte_arr = io.BytesIO()
-
-            # Save the PIL Image to the bytes buffer in PNG format
-            img.save(img_byte_arr, format='PNG')
-
-            # Get the bytes value of the buffer
-            img_byte_arr = img_byte_arr.getvalue()
-
-            # Create a dictionary with the image bytes
-            files = {'image': ('image.png', img_byte_arr)}
-
-            # Send the POST request
-            response = requests.post('https://avatechgg--segment-anything-entrypoint.modal.run', files=files)
-
-            # Check if the request was successful
-            if response.status_code == 200:
-                # Parse the JSON response
-                output = response.json()
-            else:
-                print(f"Request failed with status code {response.status_code}")
-                output = None
-
-            # sam = sam_model_registry[model_type](checkpoint=ckpt)
-            # predictor = SamPredictor(sam)
-            # masks = predictor.set_torch_image
-            # masks = predictor.predict
-
-            # print(output)
-
-        np.save(f"{self.output_dir}/{embedding_id}.npy", output["image_embedding"])
-        return (output, )
-
-NODE_CLASS_MAPPINGS = {
-    "SAM_Embedding": SAM_Embedding
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "SAM_Embedding": "SAM Embedding"
-}

sam/sam_prompt.py

@@ -1,67 +0,0 @@
-import folder_paths
-import os
-import numpy as np
-from segment_anything import sam_model_registry, SamPredictor
-
-
-class SAM_Prompt_Image:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-
-    @classmethod
-    def INPUT_TYPES(s):
-        input_dir = folder_paths.get_input_directory()
-        files = [
-            f
-            for f in os.listdir(input_dir)
-            if os.path.isfile(os.path.join(input_dir, f))
-        ]
-        return {
-            "required": {
-                "image": ("IMAGE",),
-                "model_type": (["vit_h", "vit_l", "vit_b"],),
-                "ckpt": (folder_paths.get_filename_list("sam"),),
-                "embedding_id": (
-                    "STRING",
-                    {"multiline": False, "default": "embedding"},
-                ),
-                # "image": (sorted(files), ),
-                "image_prompts_json": ("STRING", {"multiline": False, "default": "[]"}),
-            },
-        }
-
-    CATEGORY = "image"
-
-    RETURN_TYPES = ("SAM_PROMPT",)
-    FUNCTION = "load_image"
-
-    def load_image(self, image, model_type, ckpt, embedding_id, image_prompts_json):
-        import json
-
-        emb_filename = f"{self.output_dir}/{embedding_id}.npy"
-        if not os.path.exists(emb_filename):
-            ckpt = folder_paths.get_full_path("sam", ckpt)
-            sam = sam_model_registry[model_type](checkpoint=ckpt)
-            predictor = SamPredictor(sam)
-
-            image_np = (image[0].numpy() * 255).astype(np.uint8)
-            predictor.set_image(image_np)
-            emb = predictor.get_image_embedding().cpu().numpy()
-            np.save(emb_filename, emb)
-
-        image_prompts = json.loads(image_prompts_json)
-
-        result = (image_prompts,)
-
-        if isinstance(image_prompts, list):
-            pass
-        elif all(isinstance(item, list) for item in image_prompts.values()):
-            for item in image_prompts.values():
-                result += (item,)
-
-        return result
-
-
-NODE_CLASS_MAPPINGS = {"SAM_Prompt_Image": SAM_Prompt_Image}
-
-NODE_DISPLAY_NAME_MAPPINGS = {"SAM_Prompt_Image": "SAM_Prompt_Image "}

sam/sam_save_emb.py

@@ -1,64 +0,0 @@
-import folder_paths
-import torch
-import os
-from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
-from einops import rearrange, repeat
-
-class SAM_Save_Embedding:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-        self.type = "output"
-        self.prefix_append = ""
-    
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "embeddings": ("EMBEDDINGS",),
-                "filename": ("STRING", {
-                    "multiline": False,
-                    "default": "embeddings"
-                }),
-                "write_mode": (["Overwrite", "Increment"],),
-            }
-        }
-
-    RETURN_TYPES = ()
-    RETURN_NAMES = ()
-
-    OUTPUT_NODE = True
-
-    FUNCTION = "process"
-
-    CATEGORY = "image"
-
-    def process(self, embeddings, filename, write_mode):
-        import json
-        import numpy as np
-
-        filepath = self.output_dir + "/" + filename + '.json'
-
-        if write_mode == "Increment":
-            count = 0
-            # while file exists, increment count
-            while os.path.exists(self.output_dir + "/" + filename + '_' + str(count) + '.json'):
-                count += 1
-
-            filepath = self.output_dir + "/" + filename + '_' + str(count) + '.json'
-
-        # print(embeddings)
-        if isinstance(embeddings['image_embedding'], np.ndarray):
-            embeddings['image_embedding'] = embeddings['image_embedding'].tolist()
-        with open(filepath, 'w') as f:
-            json.dump(embeddings, f)
-        
-        return { "ui" : { "file": { filepath.replace(f"{self.output_dir}/", "") } } }
-
-
-NODE_CLASS_MAPPINGS = {
-    "SAM_Save_Embedding": SAM_Save_Embedding
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "SAM_Save_Embedding": "SAM_Save_Embedding "
-}

style-watcher.js

@@ -1,24 +0,0 @@
-const fs = require('fs');
-const chokidar = require('chokidar');
-const path = require('path');
-
-// Initialize watcher.
-const watcher = chokidar.watch(path.resolve(__dirname, './js/output.css'), {
-  persistent: true
-});
-
-// Add event listeners.
-watcher
-  .on('change', filePath => {
-    console.log(`File ${filePath} has been changed`);
-    let cssContent = fs.readFileSync(filePath, 'utf8');
-    let jsContent = `let style = document.createElement('style');
-style.innerHTML = \`${cssContent.replace(/\\/g, '\\\\')}\`;
-document.head.appendChild(style);`;
-    fs.writeFileSync(path.resolve(__dirname, './js/style-inject.js'), jsContent);
-  });
-
-// On script exit, close the watcher
-process.on('exit', (code) => {
-  watcher.close();
-});

workflow_templates/MouthOpen_(inpaint).json

@@ -0,0 +1,467 @@
+{
+  "last_node_id": 316,
+  "last_link_id": 561,
+  "nodes": [
+    {
+      "id": 181,
+      "type": "CheckpointLoaderSimple",
+      "pos": [
+        40,
+        200
+      ],
+      "size": {
+        "0": 340.6639709472656,
+        "1": 98
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            552
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [
+            527,
+            558
+          ],
+          "shape": 3,
+          "slot_index": 1
+        },
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            249,
+            547
+          ],
+          "shape": 3,
+          "slot_index": 2
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CheckpointLoaderSimple"
+      },
+      "widgets_values": [
+        "meinamix_meinaV10.safetensors"
+      ]
+    },
+    {
+      "id": 176,
+      "type": "KSampler",
+      "pos": [
+        900,
+        230
+      ],
+      "size": {
+        "0": 326.9862060546875,
+        "1": 262.3746643066406
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 552
+        },
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 557,
+          "slot_index": 1
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 554
+        },
+        {
+          "name": "latent_image",
+          "type": "LATENT",
+          "link": 540,
+          "slot_index": 3
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            248
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "KSampler"
+      },
+      "widgets_values": [
+        509878269555324,
+        "randomize",
+        25,
+        7,
+        "dpmpp_2m",
+        "karras",
+        1
+      ]
+    },
+    {
+      "id": 175,
+      "type": "CLIPTextEncode",
+      "pos": [
+        540,
+        300
+      ],
+      "size": {
+        "0": 304.70074462890625,
+        "1": 109.89002990722656
+      },
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 527
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            554
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CLIPTextEncode"
+      },
+      "widgets_values": [
+        "worst quality,low quality, normal quality, monochrome, grayscale, closed mouth, extended tongue,sad"
+      ],
+      "color": "#322",
+      "bgcolor": "#533"
+    },
+    {
+      "id": 174,
+      "type": "CLIPTextEncode",
+      "pos": [
+        540,
+        130
+      ],
+      "size": {
+        "0": 299.78692626953125,
+        "1": 101.67720031738281
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 558,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            557
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CLIPTextEncode"
+      },
+      "widgets_values": [
+        "open mouth,detailed mouth,lips,smile"
+      ],
+      "color": "#232",
+      "bgcolor": "#353"
+    },
+    {
+      "id": 301,
+      "type": "VAEEncodeForInpaint",
+      "pos": [
+        538,
+        470
+      ],
+      "size": {
+        "0": 315,
+        "1": 98
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pixels",
+          "type": "IMAGE",
+          "link": 559,
+          "slot_index": 0
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 547,
+          "slot_index": 1
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 560,
+          "slot_index": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            540
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VAEEncodeForInpaint"
+      },
+      "widgets_values": [
+        6
+      ]
+    },
+    {
+      "id": 315,
+      "type": "LoadImage",
+      "pos": [
+        61,
+        455
+      ],
+      "size": {
+        "0": 315,
+        "1": 314.0001525878906
+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            559
+          ],
+          "shape": 3
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": [
+            560
+          ],
+          "shape": 3,
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "clipspace/clipspace-mask-186477.83499991894.png [input]",
+        "image"
+      ]
+    },
+    {
+      "id": 184,
+      "type": "VAEDecode",
+      "pos": [
+        1300,
+        230
+      ],
+      "size": {
+        "0": 210,
+        "1": 46
+      },
+      "flags": {
+        "collapsed": false
+      },
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "samples",
+          "type": "LATENT",
+          "link": 248
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 249,
+          "slot_index": 1
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            561
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VAEDecode"
+      }
+    },
+    {
+      "id": 316,
+      "type": "PreviewImage",
+      "pos": [
+        1571.9339136962892,
+        243.9844624023438
+      ],
+      "size": {
+        "0": 210,
+        "1": 26
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 561
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PreviewImage"
+      }
+    }
+  ],
+  "links": [
+    [
+      248,
+      176,
+      0,
+      184,
+      0,
+      "LATENT"
+    ],
+    [
+      249,
+      181,
+      2,
+      184,
+      1,
+      "VAE"
+    ],
+    [
+      527,
+      181,
+      1,
+      175,
+      0,
+      "CLIP"
+    ],
+    [
+      540,
+      301,
+      0,
+      176,
+      3,
+      "LATENT"
+    ],
+    [
+      547,
+      181,
+      2,
+      301,
+      1,
+      "VAE"
+    ],
+    [
+      552,
+      181,
+      0,
+      176,
+      0,
+      "MODEL"
+    ],
+    [
+      554,
+      175,
+      0,
+      176,
+      2,
+      "CONDITIONING"
+    ],
+    [
+      557,
+      174,
+      0,
+      176,
+      1,
+      "CONDITIONING"
+    ],
+    [
+      558,
+      181,
+      1,
+      174,
+      0,
+      "CLIP"
+    ],
+    [
+      559,
+      315,
+      0,
+      301,
+      0,
+      "IMAGE"
+    ],
+    [
+      560,
+      315,
+      1,
+      301,
+      2,
+      "MASK"
+    ],
+    [
+      561,
+      184,
+      0,
+      316,
+      0,
+      "IMAGE"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {},
+  "version": 0.4
+}

workflow_templates/SimpleCharacterGen.json

@@ -0,0 +1,383 @@
+{
+  "last_node_id": 318,
+  "last_link_id": 563,
+  "nodes": [
+    {
+      "id": 184,
+      "type": "VAEDecode",
+      "pos": [
+        1290,
+        410
+      ],
+      "size": {
+        "0": 210,
+        "1": 46
+      },
+      "flags": {
+        "collapsed": false
+      },
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "samples",
+          "type": "LATENT",
+          "link": 248
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 249,
+          "slot_index": 1
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            562
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VAEDecode"
+      }
+    },
+    {
+      "id": 317,
+      "type": "SaveImage",
+      "pos": [
+        1530,
+        420
+      ],
+      "size": [
+        315,
+        270
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 562
+        }
+      ],
+      "properties": {},
+      "widgets_values": [
+        "ComfyUI"
+      ]
+    },
+    {
+      "id": 175,
+      "type": "CLIPTextEncode",
+      "pos": [
+        530,
+        480
+      ],
+      "size": [
+        301.38145862926115,
+        151.58555811101718
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 527
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            554
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CLIPTextEncode"
+      },
+      "widgets_values": [
+        "worst quality, low quality, normal quality, monochrome, grayscale, closed mouth, extended tongue, sad, text, signature, username, artist name, animal, big mouth,leg,hand"
+      ],
+      "color": "#322",
+      "bgcolor": "#533"
+    },
+    {
+      "id": 181,
+      "type": "CheckpointLoaderSimple",
+      "pos": [
+        100,
+        390
+      ],
+      "size": {
+        "0": 340.6639709472656,
+        "1": 98
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            552
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [
+            527,
+            558
+          ],
+          "shape": 3,
+          "slot_index": 1
+        },
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            249
+          ],
+          "shape": 3,
+          "slot_index": 2
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CheckpointLoaderSimple"
+      },
+      "widgets_values": [
+        "meinamix_meinaV11.safetensors"
+      ]
+    },
+    {
+      "id": 174,
+      "type": "CLIPTextEncode",
+      "pos": [
+        530,
+        300
+      ],
+      "size": [
+        294.7698808149855,
+        129.02360742742354
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 558,
+          "slot_index": 0
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            557
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
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workflow_templates/TemplateGen01/TemplateGen01.json

@@ -0,0 +1,669 @@
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