v 1.0.3

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

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+# XYPlot: Comfy plugin
+
+
+![Image](./workflows/xy_plot_mini.png)
+[Workflows](./workflows/xy_plot_mini.json)
+![Image](./workflows/xy_plot_base.png)
+[Workflows](./workflows/xy_plot_base.json)
+
+
+## How to use
+
+### Install
+
+```
+cd custom_nodes  # From comfy path
+git clone https://github.com/LEv145/XY-plot-comfy-plugin XYPlot
+```
+### Update
+
+```
+cd custom_nodes/XYPlot
+git pull
+```

__init__.py

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+from .src import ImageSetAreaNode, FloatImageCombineNode, XYPlotNode
+
+
+NODE_CLASS_MAPPINGS = {
+    "ImageSetArea": ImageSetAreaNode,
+    "FloatImageCombine": FloatImageCombineNode,
+    "XYPlot": XYPlotNode,
+}

src/__init__.py

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+from .nodes.image_set_area import ImageSetAreaNode
+from .nodes.float_image_combine import FloatImageCombineNode
+from .nodes.xy_plot import XYPlotNode

src/base.py

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+import typing as t
+
+
+class BasePlotNode():
+    CATEGORY: str = "XYPlot"
+    FUNCTION: str = "execute"
+
+
+Image = t.Any
+FloatImage = list[Image]

src/nodes/float_image_combine.py

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+import typing as t
+
+from ..base import BasePlotNode, FloatImage
+
+
+class FloatImageCombineNode(BasePlotNode):
+    RETURN_TYPES: t.Tuple[str] = ("FLOAT_IMAGE",)
+
+    @classmethod
+    def INPUT_TYPES(cls) -> t.Dict[str, t.Any]:
+        return {
+            "required": {
+                "float_image_1": ("FLOAT_IMAGE",),
+                "float_image_2": ("FLOAT_IMAGE",),
+            },
+        }
+
+    def execute(self, float_image_1: FloatImage, float_image_2: FloatImage) -> tuple[FloatImage]:
+        return (float_image_1 + float_image_2,)

src/nodes/image_set_area.py

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+import typing as t
+
+from ..base import BasePlotNode, FloatImage, Image
+
+
+class ImageSetAreaNode(BasePlotNode):
+    RETURN_TYPES: t.Tuple[str] = ("FLOAT_IMAGE",)
+
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls) -> t.Dict[str, t.Any]:
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            },
+        }
+
+    def execute(self, image: Image) -> tuple[FloatImage]:
+        return ([image],)

src/nodes/xy_plot.py

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+import typing as t
+
+from ..base import BasePlotNode, FloatImage, Image
+from ..utils import tensor_to_pillow, pillow_to_tensor, create_image_grid
+
+
+class XYPlotNode(BasePlotNode):
+    RETURN_TYPES: t.Tuple[str] = ("IMAGE",)
+
+    @classmethod
+    def INPUT_TYPES(cls) -> t.Dict[str, t.Any]:
+        return {
+            "required": {
+                "float_image": ("FLOAT_IMAGE",),
+                "gap": ("INT", {"default": 0, "min": 0}),
+                "nrow": ("INT", {"default": 1, "min": 1}),
+            },
+        }
+
+    def execute(
+        self,
+        float_image: FloatImage,
+        nrow: int,
+        gap: int
+    ) -> tuple[Image]:
+        pillow_images = [tensor_to_pillow(i) for i in float_image]
+        pillow_grid = create_image_grid(pillow_images, nrow=nrow, gap=gap)
+        tensor_grid = pillow_to_tensor(pillow_grid)
+
+        return (tensor_grid,)

src/utils.py

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+import typing as t
+
+import torch
+import numpy as np
+from PIL import Image
+
+
+def tensor_to_pillow(image):
+    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
+
+
+def pillow_to_tensor(image):
+    return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
+
+
+def create_image_grid(images, gap, nrow):
+    """
+    Create a grid of images with a specified gap and number of rows.
+
+    Args:
+        images (List[PIL.Image.Image]): List of images to be placed in the grid.
+        gap (int, optional): Gap between images in pixels. Defaults to 10.
+        nrow (int, optional): Number of rows in the grid. Defaults to 3.
+
+    Returns:
+        PIL.Image.Image: The merged image grid.
+    """
+    # Calculate number of columns based on number of rows and images
+    ncol = (len(images) + nrow - 1) // nrow
+
+    # Get size of each image in pixels
+    image_width, image_height = images[0].size
+
+    # Create new image to hold the grid
+    grid_width = ncol * image_width + (ncol - 1) * gap
+    grid_height = nrow * image_height + (nrow - 1) * gap
+    grid_image = Image.new("RGB", (grid_width, grid_height), color="white")
+
+    # Paste images into grid
+    for i, image in enumerate(images):
+        row = i // ncol
+        col = i % ncol
+        x = col * (image_width + gap)
+        y = row * (image_height + gap)
+        grid_image.paste(image, (x, y))
+
+    return grid_image