ComfyUI-NovaNoiser

Screenshot

Screenshot

Notice

Due to the nature of this project, future updates will be under AGPL V3 license to ensure this project and its derivatives remains Open Source.

Features

• Select input, optional auto white-balance reference, optional FFT reference, and output paths with live previews.
• Auto Mode: one slider to control an expressive preset of postprocess parameters.
• Manual Mode: full access to noise, CLAHE, FFT, phase perturbation, pixel perturbation, etc.
• Camera pipeline simulator: Bayer/demosaic, JPEG cycles/quality, vignette, chromatic aberration, motion blur, hot pixels, read-noise, banding.
• Input / output analysis panels (via AnalysisPanel) to inspect images before/after processing.
• Background worker thread with progress reporting and rich error dialog (traceback viewer).

ComfyUI Integration

Screenshot

Use ComfyUI Manager and install via GitHub link. Or manually clone to custom_nodes folder.

git clone https://github.com/PurinNyova/Image-Detection-Bypass-Utility

then

cd Image-Detection-Bypass-Utility
pip install -r requirements.txt

Thanks to u/Race88 for the help on the ComfyUI code.

Requirements

• Python 3.8+ recommended
• PyPI packages:

pip install pyqt5 pillow numpy matplotlib piexif lpips
# optional but recommended for extra functionality:
pip install opencv-python
# optional but needed for AI Normalizer (Install CPU OR Cuda)
#Torch Cuda 12.6
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126
#Torch CPU
pip install torch torchvision

OR

pip install -r requirements.txt

Files expected in the same folder

• image_postprocess — your processing logic (export process_image(...) or compatible API).
• worker.py — Worker thread wrapper used to run the pipeline in background.
• analysis_panel.py — UI widget used for input/output analysis.
• utils.py — must provide qpixmap_from_path(path, max_size=(w,h)).

Run

python run.py

# Alternatively, if you're having issues, a "run.sh" script has been created that will also install dependencies 
# properly  and run the GUI
./run.sh # also installs dependencies before running `python run.py`

Using the GUI (at-a-glance)

1. Choose Input — opens file dialog; sets suggested output path automatically.
2. (optional) Choose Reference — used for FFT/color reference (OpenCV-based color match supported).
3. (optional) Choose Auto White-Balance Reference — used for auto white-balance correction (applied before CLAHE).
4. Choose Output — where processed image will be written.
5. Auto Mode — enable for a single slider to control a bundled preset.
6. Manual Mode — tune individual parameters in the Parameters group.
7. Camera Simulator — enable to reveal camera-specific controls (Bayer, JPEG cycles, vignette, chroma, etc.).
8. Click Run — Process Image to start. The GUI disables controls while running and shows progress.
9. When finished, the output preview and O

Verifiziert 12. Sept.