Upload folder using huggingface_hub

.editorconfig

@@ -0,0 +1,21 @@
+# http://editorconfig.org
+
+root = true
+
+[*]
+indent_style = space
+indent_size = 4
+trim_trailing_whitespace = true
+insert_final_newline = true
+charset = utf-8
+end_of_line = lf
+
+[*.bat]
+indent_style = tab
+end_of_line = crlf
+
+[LICENSE]
+insert_final_newline = false
+
+[Makefile]
+indent_style = tab

.gitattributes

@@ -33,3 +33,59 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Example.JPG filter=lfs diff=lfs merge=lfs -text
+Nodes.JPG filter=lfs diff=lfs merge=lfs -text
+example_workflows/SDXL_InPaint.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_1/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_1/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_1/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_10/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_10/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_11/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_11/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_12/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_12/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_13/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_13/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_13/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_14/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_14/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_14/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_2/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_2/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_2/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_3/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_3/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_3/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_4/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_4/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_4/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_5/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_5/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_5/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_6/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_6/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_6/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_7/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_7/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_7/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_8/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_8/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_8/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_9/InPainted_Drag_Me_to_ComfyUI.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_9/Masked_Load_Me_in_Loader.png filter=lfs diff=lfs merge=lfs -text
+examples/Example_9/Original_No_Mask.png filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_04.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_05.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_06.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_07.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_08.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_09.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_10.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_11.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_12.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_13(1).jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_13.jpg filter=lfs diff=lfs merge=lfs -text
+examples/InpaintChara_14.jpg filter=lfs diff=lfs merge=lfs -text
+examples/LanPaintQwen_01.jpg filter=lfs diff=lfs merge=lfs -text
+examples/LanPaintQwen_03.jpg filter=lfs diff=lfs merge=lfs -text

.github/ISSUE_TEMPLATE.md

@@ -0,0 +1,15 @@
+* LanPaint version:
+* Python version:
+* Operating System:
+
+### Description
+
+Describe what you were trying to get done.
+Tell us what happened, what went wrong, and what you expected to happen.
+
+### What I Did
+
+```
+Paste the command(s) you ran and the output.
+If there was a crash, please include the traceback here.
+```

.github/workflows/build-pipeline.yml

@@ -0,0 +1,34 @@
+# GitHub CI build pipeline
+name: LanPaint CI build
+
+on:
+  pull_request:
+    branches:
+      - master
+      - main
+jobs:
+  build:
+    runs-on:  ${{ matrix.os }} 
+    env:
+      PYTHONIOENCODING: "utf8"
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.12"]
+
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version:  ${{ matrix.python-version }} 
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install .[dev]
+      - name: Run Linting
+        run: |
+          ruff check .
+      - name: Run Tests
+        run: |
+          pytest tests/

.github/workflows/publish_action.yml

@@ -0,0 +1,24 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+permissions:
+  issues: write
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    if: ${{ github.repository_owner == 'scraed' }}
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@v1
+        with:
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} ## Add your own personal access token to your Github Repository secrets and reference it here.

.github/workflows/publish_node.yml

@@ -0,0 +1,21 @@
+name: 📦 Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    tags:
+      - '*'
+
+permissions:
+  issues: write
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: ♻️ Check out code
+        uses: actions/checkout@v4
+      - name: 📦 Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

.github/workflows/validate.yml

@@ -0,0 +1,13 @@
+name: Validate backwards compatibility
+
+on:
+  pull_request:
+    branches:
+      - master
+      - main
+
+jobs:
+  validate:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: comfy-org/node-diff@main

.gitignore

@@ -0,0 +1,100 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# OSX useful to ignore
+*.DS_Store
+.AppleDouble
+.LSOverride
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+venv/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# 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/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+docs/_build/
+
+# IntelliJ Idea
+.idea
+*.iml
+*.ipr
+*.iws
+
+# PyBuilder
+target/
+
+# Cookiecutter
+output/
+python_boilerplate/
+cookiecutter-pypackage-env/
+
+# vscode settings
+.history/
+*.code-workspace

.pre-commit-config.yaml

@@ -0,0 +1,10 @@
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.4.9
+    hooks:
+      # Run the linter.
+      - id: ruff
+        args: [ --fix ]
+      # Run the formatter.
+      - id: ruff-format

.vscode/settings.json

@@ -0,0 +1,8 @@
+{
+  // Required - change /PATH/TO to the absolute path to ComfyUI.  Windows e.g.: D:/My Folder/ComfyUI/
+  // This pulls in ComfyUI Python types for the extension.
+  "python.analysis.extraPaths": [
+    "/PATH/TO/ComfyUI/",
+    "/PATH/TO/ComfyUI/custom_nodes/"
+  ],
+}

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
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+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
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+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
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+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
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+works, such as semiconductor masks.
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+
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+same work.
+
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+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
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+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
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+
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+measure under any applicable law fulfilling obligations under article
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+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
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+  You may convey verbatim copies of the Program's source code as you
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+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
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+used to limit the access or legal rights of the compilation's users
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+in an aggregate does not cause this License to apply to the other
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+  You may convey a covered work in object code form under the terms
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+    copy of the Corresponding Source for all the software in the
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+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
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+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
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+included in conveying the object code work.
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+tangible personal property which is normally used for personal, family,
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MANIFEST.in

@@ -0,0 +1,9 @@
+include LICENSE
+include README.md
+
+recursive-exclude * __pycache__
+recursive-exclude * *.py[co]
+
+recursive-include docs *.rst conf.py Makefile make.bat *.jpg *.png *.gif
+
+graft src/LanPaint/web

README.md

@@ -1,3 +1,272 @@
----
-license: gpl-3.0
----
+<div align="center">
+
+# LanPaint: Universal Inpainting Sampler with "Think Mode"
+[![arXiv](https://img.shields.io/badge/Arxiv-2502.03491-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2502.03491)
+[![Python Benchmark](https://img.shields.io/badge/🐍-Python_Benchmark-3776AB?logo=python)](https://github.com/scraed/LanPaintBench)
+[![ComfyUI Extension](https://img.shields.io/badge/ComfyUI-Extension-7B5DFF)](https://github.com/comfyanonymous/ComfyUI)
+[![Blog](https://img.shields.io/badge/📝-Blog-9cf)](https://scraed.github.io/scraedBlog/)
+[![GitHub stars](https://img.shields.io/github/stars/scraed/LanPaint)](https://github.com/scraed/LanPaint/stargazers)
+</div>
+
+Universally applicable inpainting ability for every model. LanPaint sampler lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.  
+
+This is the official implementation of ["Lanpaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference"](https://arxiv.org/abs/2502.03491). The repository is for ComfyUI extension. Local Python benchmark code is published here: [LanPaintBench](https://github.com/scraed/LanPaintBench).
+
+![Qwen Result 2](https://github.com/scraed/LanPaint/blob/master/examples/LanPaintQwen_03.jpg) 
+Check [Mased Qwen Edit Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_14). You need to follow the ComfyUI version of [Qwen Image Edit workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) to download and install the model.
+
+![Qwen Result 1](https://github.com/scraed/LanPaint/blob/master/examples/LanPaintQwen_01.jpg) 
+
+Also check [Qwen Inpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_13) and [Qwen Outpaint Workflow](https://github.com/scraed/LanPaint/tree/master/examples/Example_12). You need to follow the ComfyUI version of [Qwen Image workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image) to download and install the model.
+
+## Table of Contents
+- [Features](#features)
+- [Quickstart](#quickstart)
+- [How to Use Examples](#how-to-use-examples)
+- [Examples](#examples)
+  - [Qwen Image](#example-qwen-image-inpaintlanpaint-k-sampler-5-steps-of-thinking)
+  - [HiDream](#example-hidream-inpaint-lanpaint-k-sampler-5-steps-of-thinking)
+  - [SD 3.5](#example-sd-35-inpaintlanpaint-k-sampler-5-steps-of-thinking)
+  - [Flux](#example-flux-inpaintlanpaint-k-sampler-5-steps-of-thinking)
+  - [SDXL Examples](#example-sdxl-0-character-consistency-side-view-generation-lanpaint-k-sampler-5-steps-of-thinking)
+- [Usage](#usage)
+  - [Basic Sampler](#basic-sampler)
+  - [Advanced Sampler](#lanpaint-ksampler-advanced)
+  - [Tuning Guide](#lanpaint-ksampler-advanced-tuning-guide)
+- [Community Showcase](#community-showcase-) 
+- [Updates](#updates)
+- [ToDo](#todo)
+- [Citation](#citation)
+
+## Features
+
+- **Universal Compatibility** – Works instantly with almost any model (**SD 1.5, XL, 3.5, Flux, HiDream, Qwen-Image or custom LoRAs**) and ControlNet.  
+![Inpainting Result 13](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_13.jpg) 
+- **No Training Needed** – Works out of the box with your existing model.  
+- **Easy to Use** – Same workflow as standard ComfyUI KSampler.  
+- **Flexible Masking** – Supports any mask shape, size, or position for inpainting/outpainting.  
+- **No Workarounds** – Generates 100% new content (no blending or smoothing) without relying on partial denoising.  
+- **Beyond Inpainting** – You can even use it as a simple way to generate consistent characters. 
+
+**Warning**: LanPaint has degraded performance on distillation models, such as Flux.dev, due to a similar [issue with LORA training](https://medium.com/@zhiwangshi28/why-flux-lora-so-hard-to-train-and-how-to-overcome-it-a0c70bc59eaf). Please use low flux guidance (1.0-2.0) to mitigate this [issue](https://github.com/scraed/LanPaint/issues/30).
+
+## Quickstart
+
+1. **Install ComfyUI**: Follow the official [ComfyUI installation guide](https://docs.comfy.org/get_started) to set up ComfyUI on your system. Or ensure your ComfyUI version > 0.3.11.
+2. **Install ComfyUI-Manager**: Add the [ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) for easy extension management.  
+3. **Install LanPaint Nodes**:  
+   - **Via ComfyUI-Manager**: Search for "[LanPaint](https://registry.comfy.org/publishers/scraed/nodes/LanPaint)" in the manager and install it directly.  
+   - **Manually**: Click "Install via Git URL" in ComfyUI-Manager and input the GitHub repository link:  
+     ```
+     https://github.com/scraed/LanPaint.git
+     ```  
+     Alternatively, clone this repository into the `ComfyUI/custom_nodes` folder.  
+4. **Restart ComfyUI**: Restart ComfyUI to load the LanPaint nodes.  
+
+Once installed, you'll find the LanPaint nodes under the "sampling" category in ComfyUI. Use them just like the default KSampler for high-quality inpainting!
+
+
+## **How to Use Examples:**  
+1. Navigate to the **example** folder (i.e example_1), download all pictures.  
+2. Drag **InPainted_Drag_Me_to_ComfyUI.png** into ComfyUI to load the workflow.  
+3. Download the required model (i.e clicking **Model Used in This Example**).  
+4. Load the model in ComfyUI.
+5. Upload **Masked_Load_Me_in_Loader.png** to the **"Load image"** node in the **"Mask image for inpainting"** group (second from left), or the **Prepare Image** node.  
+7. Queue the task, you will get inpainted results from LanPaint. Some example also gives you inpainted results from the following methods for comparison:
+   - **[VAE Encode for Inpainting](https://comfyanonymous.github.io/ComfyUI_examples/inpaint/)**
+   - **[Set Latent Noise Mask](https://comfyui-wiki.com/en/tutorial/basic/how-to-inpaint-an-image-in-comfyui)**
+
+## Examples
+
+### Example Qwen Image: InPaint(LanPaint K Sampler, 5 steps of thinking)
+We are excited to announce that LanPaint now supports Qwen Image, providing powerful inpainting capabilities for image editing.
+
+![Inpainting Result 14](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_14.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_11)
+
+
+You need to follow the ComfyUI version of [Qwen Image workflow](https://docs.comfy.org/tutorials/image/qwen/qwen-image) to download and install the model.
+
+The following examples utilize a random seed of 0 to generate a batch of 4 images for variance demonstration and fair comparison. (Note: Generating 4 images may exceed your GPU memory; please adjust the batch size as necessary.)
+
+### Example HiDream: InPaint (LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 8](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_11.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_8)
+
+You need to follow the ComfyUI version of [HiDream workflow](https://docs.comfy.org/tutorials/image/hidream/hidream-i1) to download and install the model.
+
+### Example HiDream: OutPaint(LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 8](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_13(1).jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_10)
+
+You need to follow the ComfyUI version of [HiDream workflow](https://docs.comfy.org/tutorials/image/hidream/hidream-i1) to download and install the model. Thanks [Amazon90](https://github.com/Amazon90) for providing this example.
+
+### Example SD 3.5: InPaint(LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 8](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_12.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_9)
+
+You need to follow the ComfyUI version of [SD 3.5 workflow](https://comfyui-wiki.com/en/tutorial/advanced/stable-diffusion-3-5-comfyui-workflow) to download and install the model.
+
+### Example Flux: InPaint(LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 7](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_10.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_7)
+[Model Used in This Example](https://huggingface.co/Comfy-Org/flux1-dev/blob/main/flux1-dev-fp8.safetensors) 
+(Note: Prompt First mode is disabled on Flux. As it does not use CFG guidance.)
+
+### Example SDXL 0: Character Consistency (Side View Generation) (LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 6](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_09.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_6)
+[Model Used in This Example](https://civitai.com/models/1188071?modelVersionId=1408658) 
+
+(Tricks 1: You can emphasize the character by copy it's image multiple times with Photoshop. Here I have made one extra copy.)
+
+(Tricks 2: Use prompts like multiple views, multiple angles, clone, turnaround. Use LanPaint's Prompt first mode (does not support Flux))
+
+(Tricks 3: Remeber LanPaint can in-paint: Mask non-consistent regions and try again!)
+
+
+### Example SDXL 1: Basket to Basket Ball (LanPaint K Sampler, 2 steps of thinking).
+![Inpainting Result 1](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_04.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_1) 
+[Model Used in This Example](https://civitai.com/models/1188071?modelVersionId=1408658) 
+### Example SDXL 2: White Shirt to Blue Shirt (LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 2](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_05.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_2)
+[Model Used in This Example](https://civitai.com/models/1188071?modelVersionId=1408658)
+### Example SDXL 3: Smile to Sad (LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 3](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_06.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_3)
+[Model Used in This Example](https://civitai.com/models/133005/juggernaut-xl)
+### Example SDXL 4: Damage Restoration (LanPaint K Sampler, 5 steps of thinking)
+![Inpainting Result 4](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_07.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_4)
+[Model Used in This Example](https://civitai.com/models/133005/juggernaut-xl)
+### Example SDXL 5: Huge Damage Restoration (LanPaint K Sampler, 20 steps of thinking)
+![Inpainting Result 5](https://github.com/scraed/LanPaint/blob/master/examples/InpaintChara_08.jpg)  
+[View Workflow & Masks](https://github.com/scraed/LanPaint/tree/master/examples/Example_5)
+[Model Used in This Example](https://civitai.com/models/133005/juggernaut-xl)
+
+Check more for use cases like inpaint on [fine tuned models](https://github.com/scraed/LanPaint/issues/12#issuecomment-2938662021) and [face swapping](https://github.com/scraed/LanPaint/issues/12#issuecomment-2938723501), thanks to [Amazon90](https://github.com/Amazon90).
+
+
+## Usage
+
+**Workflow Setup**  
+Same as default ComfyUI KSampler - simply replace with LanPaint KSampler nodes. The inpainting workflow is the same as the [SetLatentNoiseMask](https://comfyui-wiki.com/zh/comfyui-nodes/latent/inpaint/set-latent-noise-mask) inpainting workflow.
+
+**Note**
+- LanPaint requires binary masks (values of 0 or 1) without opacity or smoothing. To ensure compatibility, set the mask's **opacity and hardness to maximum** in your mask editor. During inpainting, any mask with smoothing or gradients will automatically be converted to a binary mask.
+- LanPaint relies heavily on your text prompts to guide inpainting - explicitly describe the content you want generated in the masked area. If results show artifacts or mismatched elements, counteract them with targeted negative prompts.
+
+## Basic Sampler
+![Samplers](https://github.com/scraed/LanPaint/blob/master/Nodes.JPG)  
+
+- LanPaint KSampler: The most basic and easy to use sampler for inpainting.
+- LanPaint KSampler (Advanced): Full control of all parameters.
+
+### LanPaint KSampler
+Simplified interface with recommended defaults:
+
+- Steps: 20 - 50. More steps will give more "thinking" and better results.
+- LanPaint NumSteps: The turns of thinking before denoising. Recommend 5 for most of tasks ( which means 5 times slower than sampling without thinking). Use 10 for more challenging tasks. 
+- LanPaint Prompt mode: Image First mode and Prompt First mode. Image First mode focuses on the image, inpaint based on image context (maybe ignore prompt), while Prompt First mode focuses more on the prompt. Use Prompt First mode for tasks like character consistency. (Technically, it Prompt First mode change CFG scale to negative value in the BIG score to emphasis prompt, which will costs image quality.)
+
+### LanPaint KSampler (Advanced)
+Full parameter control:
+**Key Parameters**
+
+| Parameter | Range | Description |
+|-----------|-------|-------------|
+| `Steps` | 0-100 | Total steps of diffusion sampling. Higher means better inpainting. Recommend 20-50. |
+| `LanPaint_NumSteps` | 0-20 | Reasoning iterations per denoising step ("thinking depth"). Easy task: 2-5. Hard task: 5-10 |
+| `LanPaint_Lambda` | 0.1-50 | Content alignment strength (higher = stricter). Recommend 4.0 - 10.0 |
+| `LanPaint_StepSize` | 0.1-1.0 | The StepSize of each thinking step. Recommend 0.1-0.5. |
+| `LanPaint_Beta` | 0.1-2.0 | The StepSize ratio between masked / unmasked region. Small value can compensate high lambda values. Recommend 1.0 |
+| `LanPaint_Friction` | 0.0-100.0 | The friction of Langevin dynamics. Higher means more slow but stable, lower means fast but unstable. Recommend 10.0 - 20.0|
+| `LanPaint_EarlyStop` | 0-10 | Stop LanPaint iteration before the final sampling step. Helps to remove artifacts in some cases. Recommend 1-5|
+| `LanPaint_PromptMode` | Image First / Prompt First | Image First mode focuses on the image context, maybe ignore prompt. Prompt First mode focuses more on the prompt. |
+
+For detailed descriptions of each parameter, simply hover your mouse over the corresponding input field to view tooltips with additional information.
+
+### LanPaint Mask Blend
+This node blends the original image with the inpainted image based on the mask. It is useful if you want the unmasked region to match the original image pixel perfectly.
+
+## LanPaint KSampler (Advanced) Tuning Guide
+For challenging inpainting tasks:  
+
+1️⃣ **Boost Quality**
+Increase **total number of sampling steps** (very important!), **LanPaint_NumSteps** (thinking iterations) or **LanPaint_Lambda** if the inpainted result does not meet your expectations.
+  
+2️⃣ **Boost Speed**
+Decrease **LanPaint_NumSteps** to accelerate generation! If you want better results but still need fewer steps, consider:
+    - **Increasing LanPaint_StepSize** to speed up the thinking process.
+    - **Decreasing LanPaint_Friction** to make the Langevin dynamics converges more faster.
+    
+3️⃣ **Fix Unstability**:  
+If you find the results have wired texture, try
+- Reduce **LanPaint_Friction** to make the Langevin dynamics more stable. 
+- Reduce **LanPaint_StepSize** to use smaller step size.
+- Reduce **LanPaint_Beta** if you are using a high lambda value.
+
+⚠️ **Notes**:  
+- For effective tuning, **fix the seed** and adjust parameters incrementally while observing the results. This helps isolate the impact of each setting.  Better to do it with a batche of images to avoid overfitting on a single image.
+
+## Community Showcase [](#community-showcase-)
+
+Discover how the community is using LanPaint! Here are some user-created tutorials:
+
+- [Ai绘画进阶148-三大王炸！庆祝高允贞出道6周年！T8即将直播？当AI绘画学会深度思考？！万能修复神器LanPaint，万物皆可修！-T8 Comfyui教程](https://www.youtube.com/watch?v=Z4DSTv3UPJo)
+- [Ai绘画进阶151-真相了！T8竟是个AI？！LanPaint进阶（二），人物一致性，多视角实验性测试，新参数讲解，工作流分享-T8 Comfyui教程](https://www.youtube.com/watch?v=landiRhvF3k)
+- [重绘和三视图角色一致性解决新方案！LanPaint节点尝试](https://www.youtube.com/watch?v=X0WbXdm6FA0)
+- [ComfyUI: HiDream with Perturbation Upscale, LanPaint Inpainting (Workflow Tutorial)](https://www.youtube.com/watch?v=2-mGe4QVIIw&t=2785s)
+- [ComfyUI必备LanPaint插件超详细使用教程](https://plugin.aix.ink/archives/lanpaint)
+
+Submit a PR to add your tutorial/video here, or open an [Issue](https://github.com/scraed/LanPaint/issues) with details!
+
+## Updates
+- 2025/08/08
+    - Add Qwen image support
+- 2025/06/21
+    - Update the algorithm with enhanced stability and outpaint performance.
+    - Add outpaint example
+    - Supports Sampler Custom (Thanks to [MINENEMA](https://github.com/MINENEMA))
+- 2025/06/04
+    - Add more sampler support.
+    - Add early stopping to advanced sampler.
+- 2025/05/28
+    - Major update on the Langevin solver. It is now much faster and more stable.
+    - Greatly simplified the parameters for advanced sampler.
+    - Fix performance issue on Flux and SD 3.5
+- 2025/04/16
+    - Added Primary HiDream support
+- 2025/03/22
+    - Added Primary Flux support
+    - Added Tease Mode
+- 2025/03/10
+    - LanPaint has received a major update! All examples now use the LanPaint K Sampler, offering a simplified interface with enhanced performance and stability.
+- 2025/03/06:
+    - Bug Fix for str not callable error and unpack error. Big thanks to [jamesWalker55](https://github.com/jamesWalker55) and [EricBCoding](https://github.com/EricBCoding).
+
+## ToDo
+- Try Implement Detailer
+- ~~Provide inference code on without GUI.~~ Check our local Python benchmark code [LanPaintBench](https://github.com/scraed/LanPaintBench).
+
+## Citation
+
+```
+@misc{zheng2025lanpainttrainingfreediffusioninpainting,
+      title={Lanpaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference}, 
+      author={Candi Zheng and Yuan Lan and Yang Wang},
+      year={2025},
+      eprint={2502.03491},
+      archivePrefix={arXiv},
+      primaryClass={eess.IV},
+      url={https://arxiv.org/abs/2502.03491}, 
+}
+```
+
+
+
+
+
+

__init__.py

@@ -0,0 +1,16 @@
+"""Top-level package for LanPaint."""
+
+__all__ = [
+    "NODE_CLASS_MAPPINGS",
+    "NODE_DISPLAY_NAME_MAPPINGS",
+    "WEB_DIRECTORY",
+]
+
+__author__ = """LanPaint"""
+__email__ = "czhengac@connect.ust.hk"
+__version__ = "0.0.1"
+
+from .src.LanPaint.nodes import NODE_CLASS_MAPPINGS
+from .src.LanPaint.nodes import NODE_DISPLAY_NAME_MAPPINGS
+
+WEB_DIRECTORY = "./web"

example_workflows/Masked Qwen Image Edit.json

@@ -0,0 +1,1367 @@
+{
+  "id": "91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb",
+  "revision": 0,
+  "last_node_id": 141,
+  "last_link_id": 293,
+  "nodes": [
+    {
+      "id": 99,
+      "type": "MarkdownNote",
+      "pos": [
+        -830,
+        -10
+      ],
+      "size": [
+        540,
+        550
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Model links",
+      "properties": {
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image-edit) | [教程](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image-edit)\n\n\n## Model links\n\nYou can find all the models on [Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) and  [Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI) \n\n**Diffusion model**\n\n- [qwen_image_edit_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_fp8_e4m3fn.safetensors)\n\n**LoRA**\n\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\n\n**Text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── qwen_image_edit_fp8_e4m3fn.safetensors\n│   ├── 📂 loras/\n│   │   └── Qwen-Image-Lightning-4steps-V1.0.safetensors\n│   ├── 📂 vae/\n│   │   └── qwen_image_vae.safetensors\n│   └── 📂 text_encoders/\n│       └── qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 126,
+      "type": "VAELoader",
+      "pos": [
+        -249.80447387695312,
+        337.1279296875
+      ],
+      "size": [
+        330,
+        60
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "slot_index": 0,
+          "links": [
+            256,
+            258,
+            276,
+            288
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.48",
+        "Node name for S&R": "VAELoader",
+        "models": [
+          {
+            "name": "qwen_image_vae.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors",
+            "directory": "vae"
+          }
+        ],
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "qwen_image_vae.safetensors"
+      ]
+    },
+    {
+      "id": 128,
+      "type": "TextEncodeQwenImageEdit",
+      "pos": [
+        137.7421112060547,
+        395.8420104980469
+      ],
+      "size": [
+        360,
+        150
+      ],
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 257
+        },
+        {
+          "name": "vae",
+          "shape": 7,
+          "type": "VAE",
+          "link": 258
+        },
+        {
+          "name": "image",
+          "shape": 7,
+          "type": "IMAGE",
+          "link": 283
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            268
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.50",
+        "Node name for S&R": "TextEncodeQwenImageEdit",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "prompt": true
+          }
+        }
+      },
+      "widgets_values": [
+        ""
+      ],
+      "color": "#223",
+      "bgcolor": "#335"
+    },
+    {
+      "id": 129,
+      "type": "ModelSamplingAuraFlow",
+      "pos": [
+        550.1956176757812,
+        27.127967834472656
+      ],
+      "size": [
+        290,
+        60
+      ],
+      "flags": {},
+      "order": 16,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 293
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            260
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.48",
+        "Node name for S&R": "ModelSamplingAuraFlow",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        3
+      ]
+    },
+    {
+      "id": 130,
+      "type": "CFGNorm",
+      "pos": [
+        550.1956176757812,
+        137.1279754638672
+      ],
+      "size": [
+        290,
+        60
+      ],
+      "flags": {},
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+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 260
+        }
+      ],
+      "outputs": [
+        {
+          "name": "patched_model",
+          "type": "MODEL",
+          "links": [
+            269
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.50",
+        "Node name for S&R": "CFGNorm",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "strength": true
+          }
+        }
+      },
+      "widgets_values": [
+        1
+      ]
+    },
+    {
+      "id": 135,
+      "type": "VAEEncode",
+      "pos": [
+        248.32186889648438,
+        647.2574462890625
+      ],
+      "size": [
+        140,
+        46
+      ],
+      "flags": {},
+      "order": 12,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "pixels",
+          "type": "IMAGE",
+          "link": 274
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 276
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            272
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.50",
+        "Node name for S&R": "VAEEncode",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "ue_properties": {
+          "widget_ue_connectable": {}
+        }
+      },
+      "widgets_values": []
+    },
+    {
+      "id": 131,
+      "type": "ImageScaleToTotalPixels",
+      "pos": [
+        -198.91114807128906,
+        893.8960571289062
+      ],
+      "size": [
+        270,
+        82
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 275
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            274,
+            282,
+            283,
+            289
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.50",
+        "Node name for S&R": "ImageScaleToTotalPixels",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "upscale_method": true,
+            "megapixels": true
+          }
+        }
+      },
+      "widgets_values": [
+        "nearest-exact",
+        1
+      ]
+    },
+    {
+      "id": 102,
+      "type": "LanPaint_KSampler",
+      "pos": [
+        916.4383544921875,
+        29.786056518554688
+      ],
+      "size": [
+        400,
+        572
+      ],
+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 269
+        },
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 267
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 268
+        },
+        {
+          "name": "latent_image",
+          "type": "LATENT",
+          "link": 284
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            287
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "LanPaint",
+        "ver": "453b6c090e400123bb82f5bc0c97854031b09274",
+        "Node name for S&R": "LanPaint_KSampler"
+      },
+      "widgets_values": [
+        0,
+        "fixed",
+        20,
+        2.5,
+        "euler",
+        "simple",
+        1,
+        5,
+        "Image First",
+        "LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!"
+      ]
+    },
+    {
+      "id": 110,
+      "type": "LoadImage",
+      "pos": [
+        -207.1995086669922,
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+          "type": "IMAGE",
+          "links": [
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+        },
+        {
+          "name": "MASK",
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+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "image": true,
+            "upload": true
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+          "widget_ue_connectable": {
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+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            271
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+      "properties": {
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+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
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+            "megapixels": true
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+      "properties": {},
+      "widgets_values": [
+        "This node is to avoid poor output results caused by excessively large input image sizes."
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
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+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "If you have multiple of 8 issue, replace Scale Image to total pixels with Upscale Image and manually set the size."
+      ],
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+      "bgcolor": "#653"
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+        "widget_ue_connectable": {}
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+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
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+        "cnr_id": "comfy-core",
+        "ver": "0.3.50",
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+        "models": [
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+            "url": "https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors",
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+        "ue_properties": {
+          "widget_ue_connectable": {
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+            "strength_model": true
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+          "type": "CLIP",
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+            "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
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+          }
+        ],
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+        "tabXOffset": 10,
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+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65,
+        "widget_ue_connectable": {}
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+      "widgets_values": [
+        "qwen_2.5_vl_7b_fp8_scaled.safetensors",
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+      "inputs": [],
+      "outputs": [],
+      "title": "KSampler settings",
+      "properties": {},
+      "widgets_values": [
+        "Decrease **LanPaint_NumSteps** for faster generation. \n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
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+      ],
+      "color": "#3f789e",
+      "font_size": 24,
+      "flags": {}
+    },
+    {
+      "id": 2,
+      "title": "Step 2 - Upload image for editing",
+      "bounding": [
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+        370,
+        400
+      ],
+      "color": "#3f789e",
+      "font_size": 24,
+      "flags": {}
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+      "id": 3,
+      "title": "Step 3 - Prompt",
+      "bounding": [
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+        433.6000061035156
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+      "color": "#3f789e",
+      "font_size": 24,
+      "flags": {}
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+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.40914901834711453,
+      "offset": [
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+        518.9695463016635
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+    "frontendVersion": "1.25.9",
+    "ue_links": [],
+    "links_added_by_ue": [],
+    "VHS_latentpreview": false,
+    "VHS_latentpreviewrate": 0,
+    "VHS_MetadataImage": true,
+    "VHS_KeepIntermediate": true,
+    "groupNodes": {}
+  },
+  "version": 0.4
+}

example_workflows/Qwen Image Inpaint.json

@@ -0,0 +1,806 @@
+{
+  "id": "11cce4ab-536b-4f42-a95c-0be437d04ace",
+  "revision": 0,
+  "last_node_id": 128,
+  "last_link_id": 338,
+  "nodes": [
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+      "type": "LanPaint_KSampler",
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+}

example_workflows/Qwen Image Outpaint.json

@@ -0,0 +1,909 @@
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+}

example_workflows/SDXL Inpaint.json

@@ -0,0 +1,735 @@
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