Merge pull request #148 from pydn/codex/issue-143-upscale-model-loader

Fix upscale model loader export bootstrap
2026-03-28 13:10:12 -05:00
parent 32d42bf472 380e701132
commit cb5917eeed
9 changed files with 395 additions and 202 deletions
@@ -1,212 +1,124 @@
-## ComfyUI-to-Python-Extension
+# ComfyUI-to-Python-Extension
+
 ![banner](images/comfyui_to_python_banner.png)

-The `ComfyUI-to-Python-Extension` is a powerful tool that translates [ComfyUI](https://github.com/comfyanonymous/ComfyUI) workflows into executable Python code. Designed to bridge the gap between ComfyUI's visual interface and Python's programming environment, this script facilitates the seamless transition from design to code execution. Whether you're a data scientist, a software developer, or an AI enthusiast, this tool streamlines the process of implementing ComfyUI workflows in Python.
+Build a workflow in ComfyUI, then walk away with runnable Python.

-**Convert this:**
+`ComfyUI-to-Python-Extension` turns visual workflows into executable scripts so you can move from node graphs to automation, experiments, and repeatable generation without rebuilding everything by hand.

-![SDXL UI Example](images/SDXL-UI-Example.jpg)
+This project supports:
+- exporting from the ComfyUI UI with `Save As Script`
+- converting saved API-format workflows with the CLI

+## Install

-**To this:**
+Choose the setup that matches how you want to use the project.

+### Web UI extension (`File -> Save As Script`)
+
+For ComfyUI to recognize this project as an extension, the repo must be discoverable through ComfyUI's `custom_nodes` search paths.
+
+Use one of these setups:
+
+1. Clone directly into `ComfyUI/custom_nodes`
+```bash
+cd /path/to/ComfyUI/custom_nodes
+git clone https://github.com/pydn/ComfyUI-to-Python-Extension.git
+cd ComfyUI-to-Python-Extension
+uv sync
 ```
-import random
-import torch
-import sys

-sys.path.append("../")
-from nodes import (
-    VAEDecode,
-    KSamplerAdvanced,
-    EmptyLatentImage,
-    SaveImage,
-    CheckpointLoaderSimple,
-    CLIPTextEncode,
-)
+2. Keep the repo elsewhere, then either:
+- symlink it into `ComfyUI/custom_nodes`
+- add its parent directory to ComfyUI's `custom_nodes` search paths via `extra_model_paths.yaml`

-
-def main():
-    with torch.inference_mode():
-        checkpointloadersimple = CheckpointLoaderSimple()
-        checkpointloadersimple_4 = checkpointloadersimple.load_checkpoint(
-            ckpt_name="sd_xl_base_1.0.safetensors"
-        )
-
-        emptylatentimage = EmptyLatentImage()
-        emptylatentimage_5 = emptylatentimage.generate(
-            width=1024, height=1024, batch_size=1
-        )
-
-        cliptextencode = CLIPTextEncode()
-        cliptextencode_6 = cliptextencode.encode(
-            text="evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
-            clip=checkpointloadersimple_4[1],
-        )
-
-        cliptextencode_7 = cliptextencode.encode(
-            text="text, watermark", clip=checkpointloadersimple_4[1]
-        )
-
-        checkpointloadersimple_12 = checkpointloadersimple.load_checkpoint(
-            ckpt_name="sd_xl_refiner_1.0.safetensors"
-        )
-
-        cliptextencode_15 = cliptextencode.encode(
-            text="evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
-            clip=checkpointloadersimple_12[1],
-        )
-
-        cliptextencode_16 = cliptextencode.encode(
-            text="text, watermark", clip=checkpointloadersimple_12[1]
-        )
-
-        ksampleradvanced = KSamplerAdvanced()
-        vaedecode = VAEDecode()
-        saveimage = SaveImage()
-
-        for q in range(10):
-            ksampleradvanced_10 = ksampleradvanced.sample(
-                add_noise="enable",
-                noise_seed=random.randint(1, 2**64),
-                steps=25,
-                cfg=8,
-                sampler_name="euler",
-                scheduler="normal",
-                start_at_step=0,
-                end_at_step=20,
-                return_with_leftover_noise="enable",
-                model=checkpointloadersimple_4[0],
-                positive=cliptextencode_6[0],
-                negative=cliptextencode_7[0],
-                latent_image=emptylatentimage_5[0],
-            )
-
-            ksampleradvanced_11 = ksampleradvanced.sample(
-                add_noise="disable",
-                noise_seed=random.randint(1, 2**64),
-                steps=25,
-                cfg=8,
-                sampler_name="euler",
-                scheduler="normal",
-                start_at_step=20,
-                end_at_step=10000,
-                return_with_leftover_noise="disable",
-                model=checkpointloadersimple_12[0],
-                positive=cliptextencode_15[0],
-                negative=cliptextencode_16[0],
-                latent_image=ksampleradvanced_10[0],
-            )
-
-            vaedecode_17 = vaedecode.decode(
-                samples=ksampleradvanced_11[0], vae=checkpointloadersimple_12[2]
-            )
-
-            saveimage_19 = saveimage.save_images(
-                filename_prefix="ComfyUI", images=vaedecode_17[0]
-            )
-
-
-if __name__ == "__main__":
-    main()
+Example symlink setup:
+```bash
+git clone https://github.com/pydn/ComfyUI-to-Python-Extension.git
+cd /path/to/ComfyUI/custom_nodes
+ln -s /path/to/ComfyUI-to-Python-Extension ComfyUI-to-Python-Extension
+cd /path/to/ComfyUI-to-Python-Extension
+uv sync
 ```
-## Potential Use Cases
- Streamlining the process for creating a lean app or pipeline deployment that uses a ComfyUI workflow
- Creating programmatic experiments for various prompt/parameter values
- Creating large queues for image generation (For example, you could adjust the script to generate 1000 images without clicking ctrl+enter 1000 times)
- Easily expanding or iterating on your architecture in Python once a foundational workflow is in place in the GUI

-## V1.3.0 Release Notes
- Generate .py file directly from the ComfyUI Web App
+After installation, restart ComfyUI.
+
+### CLI exporter / generated scripts
+
+You can keep the repo anywhere for CLI usage and generated-script execution.
+
+```bash
+git clone https://github.com/pydn/ComfyUI-to-Python-Extension.git
+cd ComfyUI-to-Python-Extension
+uv sync
+export COMFYUI_PATH=/path/to/ComfyUI
+```
+
+`COMFYUI_PATH` helps the exporter and generated scripts find the ComfyUI codebase. It does not, by itself, register this repo as a ComfyUI extension for the Web UI.
+
+`COMFYUI_PATH` is checked first. If it is not set, the exporter falls back to searching parent directories for a folder named `ComfyUI`.
+
+## Web UI Export
+
+In current ComfyUI builds, `Save As Script` is typically available under:
+
+`File -> Save As Script`
+
+The command downloads a generated `.py` file.

 ![Save As Script](images/save_as_script.png)

-## V1.2.1 Release Notes
- Dynamically change `comfyui_to_python.py` parameters with CLI arguments
- Hotfix to handle nodes that accept kwargs.
+Notes:
+- menu placement can differ between frontend versions
+- ComfyUI Desktop may fail on the current filename prompt flow; use the CLI flow below if that happens

-## V1.2.0 Release Notes
- Updates to adhere to latest changes from `ComfyUI`
+## CLI Export

-## V1.0.0 Release Notes
- **Use all the custom nodes!**
-    - Custom nodes are now supported. If you run into any issues with code execution, first ensure that the each node works as expected in the GUI. If it works in the GUI, but not in the generated script, please submit an issue.
+1. In ComfyUI, enable dev mode options if needed.
+2. Save the workflow in API format: `File -> Export (API)`.
+3. Run the exporter:

+```bash
+uv run python comfyui_to_python.py
+```

-## Installation
+Options:

+```bash
+uv run python comfyui_to_python.py \
+  --input_file workflow_api.json \
+  --output_file workflow_api.py \
+  --queue_size 10
+```

-1. Navigate to your `ComfyUI/custom_nodes` directory
+Flags:
+- `--input_file`: input workflow JSON, default `workflow_api.json`
+- `--output_file`: output Python file, default `workflow_api.py`
+- `--queue_size`: default execution count in the generated script, default `10`

-2. Clone this repo
-    ```bash
-    git clone https://github.com/pydn/ComfyUI-to-Python-Extension.git
-    ```
+![Dev Mode Options](images/dev_mode_options.PNG)

-    After cloning the repo, your `ComfyUI` directory should look like this:
-    ```
-    /comfy
-    /comfy_extras
-    /custom_nodes
-    --/ComfyUI-to-Python-Extension
-    /input
-    /models
-    /output
-    /script_examples
-    /web
-    .gitignore
-    LICENSE
-    README.md
-    comfyui_screenshot.png
-    cuda_mollac.py
-    execution.py
-    extra_model_paths.yaml.example
-    folder_paths.py
-    latent_preview.py
-    main.py
-    nodes.py
-    requirements.txt
-    server.py
-    ```
+## Generated Scripts

-## Web App Use
-1. Launch ComfyUI
+Generated scripts depend on a working ComfyUI runtime.

-2. Load your favorite workflow and click `Save As Script`
+If the repo is not inside ComfyUI, set:

-![Save As Script](images/save_as_script.png)
+```bash
+export COMFYUI_PATH=/path/to/ComfyUI
+```

-3. Type your desired file name into the pop up screen.
+The generated script is a workflow export. It does not automatically turn workflow inputs into command-line arguments.

-4. Move .py file from your downloads folder to your `ComfyUI` directory.
+## Troubleshooting

-5. Now you can execute the newly created .py file to generate images without launching a server.
-
-## CLI Usage
-1. Navigate to the `ComfyUI-to-Python-Extension` folder and install requirements
-    ```bash
-    pip install -r requirements.txt
-    ```
-
-2. Launch ComfyUI, click the gear icon over `Queue Prompt`, then check `Enable Dev mode Options`. **THE SCRIPT WILL NOT WORK IF YOU DO NOT ENABLE THIS OPTION!**
-
-![Enable Dev Mode Options](images/dev_mode_options.jpg)
-
-3. Load up your favorite workflows, then click the newly enabled `Save (API Format)` button under Queue Prompt
-
-4. Move the downloaded .json workflow file to your `ComfyUI/ComfyUI-to-Python-Extension` folder
-
-5. If needed, add arguments when executing `comfyui_to_python.py` to update the default `input_file` and `output_file` to match your .json workflow file and desired .py file name. By default, the script will look for a file called `workflow_api.json`. You can also update the `queue_size` variable to your desired number of images that you want to generate in a single script execution. By default, the scripts will generate 10 images. Run `python comfyui_to_python.py --help` for more details.
-
-6a. Run the script with default arguments:
-   ```bash
-   python comfyui_to_python.py
-   ```
-6b. Run the script with optional arguments:
-   ```bash
-   python comfyui_to_python.py --input_file "workflow_api (2).json" --output_file my_workflow.py --queue_size 100
-   ```
-
-7. After running `comfyui_to_python.py`, a new .py file will be created in the current working directory. If you made no changes, look for `workflow_api.py`.
-
-8. Now you can execute the newly created .py file to generate images without launching a server.
+- `Save As Script` not visible:
+  check your current ComfyUI menu/frontend version and look under `File`
+- `Save As Script` not visible after restart:
+  make sure this repo is discoverable by ComfyUI through `custom_nodes` by cloning it into `ComfyUI/custom_nodes`, symlinking it there, or adding an external `custom_nodes` path in `extra_model_paths.yaml`
+- Desktop says `prompt()` is unsupported:
+  use the CLI export flow instead
+- ComfyUI cannot be found:
+  set `COMFYUI_PATH`
+- models or paths are missing at runtime:
+  verify the target ComfyUI install and its `extra_model_paths.yaml`
@@ -16,20 +16,30 @@ sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from comfyui_to_python_utils import (
    import_custom_nodes,
    find_path,
+    get_comfyui_path,
    add_comfyui_directory_to_sys_path,
    add_extra_model_paths,
    get_value_at_index,
 )

-add_comfyui_directory_to_sys_path()
-from nodes import NODE_CLASS_MAPPINGS
-

 DEFAULT_INPUT_FILE = "workflow_api.json"
 DEFAULT_OUTPUT_FILE = "workflow_api.py"
 DEFAULT_QUEUE_SIZE = 10


+def get_node_class_mappings() -> Dict:
+    """Load ComfyUI node mappings on demand.
+
+    Tests that inject explicit node mappings should not need a full ComfyUI runtime
+    just to import this module.
+    """
+    add_comfyui_directory_to_sys_path()
+    from nodes import NODE_CLASS_MAPPINGS
+
+    return NODE_CLASS_MAPPINGS
+
+
 class FileHandler:
    """Handles reading and writing files.

@@ -289,7 +299,11 @@ class CodeGenerator:

        # Generate final code by combining imports and code, and wrap them in a main function
        final_code = self.assemble_python_code(
-            import_statements, special_functions_code, code, queue_size, custom_nodes
+            import_statements,
+            special_functions_code,
+            code,
+            queue_size,
+            custom_nodes,
        )

        return final_code
@@ -369,6 +383,7 @@ class CodeGenerator:
        func_strings = []
        for func in [
            get_value_at_index,
+            get_comfyui_path,
            find_path,
            add_comfyui_directory_to_sys_path,
            add_extra_model_paths,
@@ -424,8 +439,8 @@ class CodeGenerator:
        Returns:
            Tuple[str, str, str]: Updated class type, import statement string, class initialization code.
        """
-        import_statement = class_type
        variable_name = self.clean_variable_name(class_type)
+        import_statement = class_type
        if class_type in self.base_node_class_mappings.keys():
            class_code = f"{variable_name} = {class_type.strip()}()"
        else:
@@ -514,7 +529,7 @@ class ComfyUItoPython:
        input_file: str = "",
        output_file: str | TextIO = "",
        queue_size: int = 1,
-        node_class_mappings: Dict = NODE_CLASS_MAPPINGS,
+        node_class_mappings: Dict | None = None,
        needs_init_custom_nodes: bool = False,
    ):
        """Initialize the ComfyUItoPython class with the given parameters. Exactly one of workflow or input_file must be specified.
@@ -523,7 +538,8 @@ class ComfyUItoPython:
            input_file (str): Path to the input JSON file.
            output_file (str | TextIO): Path to the output file or a file-like object.
            queue_size (int): The number of times a workflow will be executed by the script. Defaults to 1.
-            node_class_mappings (Dict): Mappings of node classes. Defaults to NODE_CLASS_MAPPINGS.
+            node_class_mappings (Dict | None): Mappings of node classes. Defaults to the current
+                ComfyUI NODE_CLASS_MAPPINGS when not provided.
            needs_init_custom_nodes (bool): Whether to initialize custom nodes. Defaults to False.
        """
        if input_file and workflow:
@@ -538,7 +554,11 @@ class ComfyUItoPython:
        self.input_file = input_file
        self.output_file = output_file
        self.queue_size = queue_size
-        self.node_class_mappings = node_class_mappings
+        self.node_class_mappings = (
+            node_class_mappings
+            if node_class_mappings is not None
+            else get_node_class_mappings()
+        )
        self.needs_init_custom_nodes = needs_init_custom_nodes

        self.base_node_class_mappings = copy.deepcopy(self.node_class_mappings)
@@ -550,19 +570,23 @@ class ComfyUItoPython:
        Returns:
            None
        """
-        # Step 1: Import all custom nodes if we need to
-        if self.needs_init_custom_nodes:
-            import_custom_nodes()
-        else:
-            # If they're already imported, we don't know which nodes are custom nodes, so we need to import all of them
-            self.base_node_class_mappings = {}
-
-        # Step 2: Read JSON data from the input file
+        # Step 1: Read JSON data from the input file
        if self.input_file:
            data = FileHandler.read_json_file(self.input_file)
        else:
            data = json.loads(self.workflow)

+        # Step 2: Initialize extra/custom nodes when requested or when the workflow references
+        # a node class that is not currently loaded in the runtime.
+        missing_node_types = {
+            node_data["class_type"]
+            for node_data in data.values()
+            if node_data["class_type"] not in self.node_class_mappings
+        }
+        if self.needs_init_custom_nodes or missing_node_types:
+            import_custom_nodes()
+            self.base_node_class_mappings = copy.deepcopy(self.node_class_mappings)
+
        # Step 3: Determine the load order
        load_order_determiner = LoadOrderDeterminer(data, self.node_class_mappings)
        load_order = load_order_determiner.determine_load_order()
@@ -3,16 +3,30 @@ from typing import Sequence, Mapping, Any, Union
 import sys


+def get_comfyui_path() -> str:
+    """Return the configured ComfyUI path, preferring COMFYUI_PATH when set."""
+    comfyui_path = os.environ.get("COMFYUI_PATH")
+    if comfyui_path:
+        return comfyui_path
+    return find_path("ComfyUI")
+
+
 def import_custom_nodes() -> None:
    """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS

    This function sets up a new asyncio event loop, initializes the PromptServer,
    creates a PromptQueue, and initializes the custom nodes.
    """
+    comfyui_path = get_comfyui_path()
+    if comfyui_path and comfyui_path not in sys.path:
+        sys.path.insert(0, comfyui_path)
+
    import asyncio
    import execution
    from nodes import init_extra_nodes
-    sys.path.insert(0, find_path("ComfyUI"))
+    if comfyui_path in sys.path:
+        sys.path.remove(comfyui_path)
+    sys.path.insert(0, comfyui_path)
    import server

    # Creating a new event loop and setting it as the default loop
@@ -57,9 +71,11 @@ def add_comfyui_directory_to_sys_path() -> None:
    """
    Add 'ComfyUI' to the sys.path
    """
-    comfyui_path = find_path("ComfyUI")
+    comfyui_path = get_comfyui_path()
    if comfyui_path is not None and os.path.isdir(comfyui_path):
-        sys.path.append(comfyui_path)
+        if comfyui_path in sys.path:
+            sys.path.remove(comfyui_path)
+        sys.path.insert(0, comfyui_path)
        print(f"'{comfyui_path}' added to sys.path")


@@ -0,0 +1,109 @@
+import json
+import unittest
+from io import StringIO
+
+from comfyui_to_python import ComfyUItoPython
+
+
+class UpscaleModelLoader:
+    CATEGORY = "loaders"
+    FUNCTION = "load_model"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model_name": ("STRING",),
+            }
+        }
+
+    def load_model(self, model_name):
+        return (model_name,)
+
+
+class LoadImage:
+    CATEGORY = "image"
+    FUNCTION = "load_image"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": ("STRING",),
+            }
+        }
+
+    def load_image(self, image):
+        return (image,)
+
+
+class ImageUpscaleWithModel:
+    CATEGORY = "image/upscaling"
+    FUNCTION = "upscale"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "upscale_model": ("UPSCALE_MODEL",),
+                "image": ("IMAGE",),
+            }
+        }
+
+    def upscale(self, upscale_model, image):
+        return (image,)
+
+
+class UpscaleModelLoaderExportTest(unittest.TestCase):
+    def test_upscale_workflow_uses_direct_upscale_model_loader_init(self):
+        workflow = {
+            "1": {
+                "class_type": "LoadImage",
+                "inputs": {
+                    "image": "example.png",
+                },
+            },
+            "2": {
+                "class_type": "UpscaleModelLoader",
+                "inputs": {
+                    "model_name": "RealESRGAN_x4plus.safetensors",
+                },
+            },
+            "3": {
+                "class_type": "ImageUpscaleWithModel",
+                "inputs": {
+                    "upscale_model": ["2", 0],
+                    "image": ["1", 0],
+                },
+            },
+        }
+
+        output = StringIO()
+        ComfyUItoPython(
+            workflow=json.dumps(workflow),
+            output_file=output,
+            node_class_mappings={
+                "LoadImage": LoadImage,
+                "UpscaleModelLoader": UpscaleModelLoader,
+                "ImageUpscaleWithModel": ImageUpscaleWithModel,
+            },
+        )
+
+        generated = output.getvalue()
+
+        self.assertIn("from nodes import (", generated)
+        self.assertIn("LoadImage,", generated)
+        self.assertIn("UpscaleModelLoader,", generated)
+        self.assertIn("ImageUpscaleWithModel,", generated)
+        self.assertIn("NODE_CLASS_MAPPINGS,", generated)
+        self.assertIn("loadimage = LoadImage()", generated)
+        self.assertIn("upscalemodelloader = UpscaleModelLoader()", generated)
+        self.assertIn(
+            "imageupscalewithmodel_3 = imageupscalewithmodel.upscale(",
+            generated,
+        )
+        self.assertNotIn('NODE_CLASS_MAPPINGS["UpscaleModelLoader"]()', generated)
+
+
+if __name__ == "__main__":
+    unittest.main()
@@ -0,0 +1,132 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "black"
+version = "26.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "mypy-extensions" },
+    { name = "packaging" },
+    { name = "pathspec" },
+    { name = "platformdirs" },
+    { name = "pytokens" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e1/c5/61175d618685d42b005847464b8fb4743a67b1b8fdb75e50e5a96c31a27a/black-26.3.1.tar.gz", hash = "sha256:2c50f5063a9641c7eed7795014ba37b0f5fa227f3d408b968936e24bc0566b07", size = 666155, upload-time = "2026-03-12T03:36:03.593Z" }
+wheels = [
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