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from PIL import Image
import numpy as np
import os
import tempfile
from types import SimpleNamespace
try:
from worker import Worker
except Exception as e:
Worker = None
IMPORT_ERROR = str(e)
else:
IMPORT_ERROR = None
class NovaNodes:
"""
ComfyUI node: Full post-processing chain using Worker from GUI
All augmentations with tunable parameters.
"""
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image": ("IMAGE",),
# EXIF
"apply_exif_o": ("BOOLEAN", {"default": True}),
# Noise
"noise_std_frac": ("FLOAT", {"default": 0.015, "min": 0.0, "max": 0.1, "step": 0.001}),
"hot_pixel_prob": ("FLOAT", {"default": 1e-6, "min": 0.0, "max": 1e-3, "step": 1e-7}),
"perturb_mag_frac": ("FLOAT", {"default": 0.008, "min": 0.0, "max": 0.05, "step": 0.001}),
# CLAHE
"clahe_clip": ("FLOAT", {"default": 2.0, "min": 0.5, "max": 10.0, "step": 0.1}),
"clahe_grid": ("INT", {"default": 8, "min": 2, "max": 32, "step": 1}),
# Fourier
"apply_fourier_o": ("BOOLEAN", {"default": True}),
"fourier_strength": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 1.0, "step": 0.01}),
"fourier_randomness": ("FLOAT", {"default": 0.05, "min": 0.0, "max": 0.5, "step": 0.01}),
"fourier_phase_perturb": ("FLOAT", {"default": 0.08, "min": 0.0, "max": 0.5, "step": 0.01}),
"fourier_alpha": ("FLOAT", {"default": 1.0, "min": 0.1, "max": 4.0, "step": 0.1}),
"fourier_radial_smooth": ("INT", {"default": 5, "min": 0, "max": 50, "step": 1}),
"fourier_mode": (["auto", "ref", "model"], {"default": "auto"}),
# Vignette
"apply_vignette_o": ("BOOLEAN", {"default": True}),
"vignette_strength": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
# Chromatic aberration
"apply_chromatic_aberration_o": ("BOOLEAN", {"default": True}),
"ca_shift": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 5.0, "step": 0.1}),
# Banding
"apply_banding_o": ("BOOLEAN", {"default": True}),
"banding_levels": ("INT", {"default": 64, "min": 2, "max": 256, "step": 1}),
# Motion blur
"apply_motion_blur_o": ("BOOLEAN", {"default": True}),
"motion_blur_ksize": ("INT", {"default": 7, "min": 3, "max": 31, "step": 2}),
# JPEG cycles
"apply_jpeg_cycles_o": ("BOOLEAN", {"default": True}),
"jpeg_cycles": ("INT", {"default": 2, "min": 1, "max": 10, "step": 1}),
"jpeg_quality": ("INT", {"default": 85, "min": 10, "max": 100, "step": 1}),
# Camera simulation
"sim_camera": ("BOOLEAN", {"default": False}),
"enable_bayer": ("BOOLEAN", {"default": True}),
"iso_scale": ("FLOAT", {"default": 1.0, "min": 0.1, "max": 16.0, "step": 0.1}),
"read_noise": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 50.0, "step": 0.1}),
},
"optional": {
"ref_image": ("IMAGE",),
}
}
RETURN_TYPES = ("IMAGE", "STRING")
RETURN_NAMES = ("IMAGE", "EXIF")
FUNCTION = "process"
CATEGORY = "postprocessing"
def process(self, image, ref_image=None,
apply_exif_o=True,
noise_std_frac=0.015,
hot_pixel_prob=1e-6,
perturb_mag_frac=0.008,
clahe_clip=2.0,
clahe_grid=8,
apply_fourier_o=True,
fourier_strength=0.9,
fourier_randomness=0.05,
fourier_phase_perturb=0.08,
fourier_alpha=1.0,
fourier_radial_smooth=5,
fourier_mode="auto",
apply_vignette_o=True,
vignette_strength=0.5,
apply_chromatic_aberration_o=True,
ca_shift=1.0,
apply_banding_o=True,
banding_levels=64,
apply_motion_blur_o=True,
motion_blur_ksize=7,
apply_jpeg_cycles_o=True,
jpeg_cycles=2,
jpeg_quality=85,
sim_camera=False,
enable_bayer=True,
iso_scale=1.0,
read_noise=2.0):
if Worker is None:
raise ImportError(f"Could not import Worker module: {IMPORT_ERROR}")
# Ensure input image is a PIL Image
if not isinstance(image, Image.Image):
raise ValueError("Input image must be a PIL Image object")
# Save input image as temporary file
with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp_input:
input_path = tmp_input.name
image.save(input_path)
# Prepare reference image if provided
ref_path = None
if ref_image is not None:
if not isinstance(ref_image, Image.Image):
raise ValueError("Reference image must be a PIL Image object")
with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp_ref:
ref_path = tmp_ref.name
ref_image.save(ref_path)
# Create output temporary file path
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp_output:
output_path = tmp_output.name
# Prepare parameters for Worker
args = SimpleNamespace(
noise_std=noise_std_frac,
hot_pixel_prob=hot_pixel_prob,
perturb=perturb_mag_frac,
clahe_clip=clahe_clip,
tile=clahe_grid,
fstrength=fourier_strength,
strength=fourier_strength,
randomness=fourier_randomness,
phase_perturb=fourier_phase_perturb,
alpha=fourier_alpha,
radial_smooth=fourier_radial_smooth,
fft_mode=fourier_mode,
vignette_strength=vignette_strength,
chroma_strength=ca_shift,
banding_strength=1.0 if apply_banding_o else 0.0,
motion_blur_kernel=motion_blur_ksize,
jpeg_cycles=jpeg_cycles,
jpeg_qmin=jpeg_quality,
jpeg_qmax=jpeg_quality,
sim_camera=sim_camera,
no_no_bayer=enable_bayer,
iso_scale=iso_scale,
read_noise=read_noise,
ref=ref_path,
fft_ref=ref_path,
seed=None, # Seed handling can be added if Worker supports it
cutoff=0.25 # Default value from GUI, adjustable if needed
)
# Run Worker
worker = Worker(input_path, output_path, args)
worker.run() # Assuming Worker has a synchronous run() method
# Load output image
output_img = Image.open(output_path)
# Handle EXIF
new_exif = ""
if apply_exif_o:
output_img, new_exif = self._add_fake_exif(output_img)
# Clean up temporary files
os.unlink(input_path)
if ref_path:
os.unlink(ref_path)
os.unlink(output_path)
return (output_img, new_exif)
def _add_fake_exif(self, img: Image.Image) -> tuple[Image.Image, str]:
"""Insert random but realistic camera EXIF metadata."""
import random
import io
import piexif
exif_dict = {
"0th": {
piexif.ImageIFD.Make: random.choice(["Canon", "Nikon", "Sony", "Fujifilm", "Olympus", "Leica"]),
piexif.ImageIFD.Model: random.choice([
"EOS 5D Mark III", "D850", "Alpha 7R IV", "X-T4", "OM-D E-M1 Mark III", "Q2"
]),
piexif.ImageIFD.Software: "Adobe Lightroom",
},
"Exif": {
piexif.ExifIFD.FNumber: (random.randint(10, 22), 10),
piexif.ExifIFD.ExposureTime: (1, random.randint(60, 4000)),
piexif.ExifIFD.ISOSpeedRatings: random.choice([100, 200, 400, 800, 1600, 3200]),
piexif.ExifIFD.FocalLength: (random.randint(24, 200), 1),
},
}
exif_bytes = piexif.dump(exif_dict)
output = io.BytesIO()
img.save(output, format="JPEG", exif=exif_bytes)
output.seek(0)
return (Image.open(output), str(exif_bytes))
# -------------
# Registration
# -------------
NODE_CLASS_MAPPINGS = {
"NovaNodes": NovaNodes,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"NovaNodes": "Image Postprocess (NOVA NODES)",
} |