nodes/yolanother-ComfyUI-Save16bitPng
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Dont use openexr

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Yolan
2024-12-22 17:47:10 -08:00
parent 27af8a058e
commit 2a9ef7756c
1 changed files with 12 additions and 41 deletions
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__init__.py
+12 -41
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@@ -74,48 +74,19 @@ class SaveImageARGB16PNG:
image_np = image.cpu().numpy()
image_np = image_np.astype(np.float32)
if self.use_openexr:
PIXEL_TYPE = self.Imath.PixelType(self.Imath.PixelType.FLOAT)
height, width, channels = image_np.shape
counter = file_counter() + 1
filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
file = f"{filename_with_batch_num}_{counter:05}.png"
header = self.OpenEXR.Header(width, height)
half_chan = self.Imath.Channel(PIXEL_TYPE)
header['channels'] = dict([(c, half_chan) for c in "RGB"])
R = image_np[:, :, 0].tobytes()
G = image_np[:, :, 1].tobytes()
B = image_np[:, :, 2].tobytes()
counter = file_counter() + 1
filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
file = f"{filename_with_batch_num}_{counter:05}.png"
temp_exr_file = os.path.join(full_output_folder, f"{filename_with_batch_num}_{counter:05}.exr")
exr_file = self.OpenEXR.OutputFile(temp_exr_file, header)
exr_file.writePixels({'R': R, 'G': G, 'B': B})
exr_file.close()
# Open the temporary EXR file for conversion
img = Image.open(temp_exr_file)
img = img.convert("RGBA")
img.save(os.path.join(full_output_folder, file), format="PNG", bits=16)
# Delete the temporary EXR file
os.remove(temp_exr_file)
else:
counter = file_counter() + 1
filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
file = f"{filename_with_batch_num}_{counter:05}.png"
# Convert image to RGBA16 PNG and save using OpenCV
image_rgba16 = (image_np * 65535).astype('uint16')
rgba_image = self.cv2.merge((
image_rgba16[:, :, 0],
image_rgba16[:, :, 1],
image_rgba16[:, :, 2],
(image_rgba16[:, :, 0] * 0).astype('uint16') + 65535
)) # Add alpha channel with max value
self.cv2.imwrite(os.path.join(full_output_folder, file), rgba_image)
# Convert image to RGBA16 PNG and save using OpenCV
image_rgba16 = (image_np * 65535).astype('uint16')
rgba_image = self.cv2.merge((
image_rgba16[:, :, 0],
image_rgba16[:, :, 1],
image_rgba16[:, :, 2],
(image_rgba16[:, :, 0] * 0).astype('uint16') + 65535
)) # Add alpha channel with max value
self.cv2.imwrite(os.path.join(full_output_folder, file), rgba_image)
results.append({
"filename": file,