For the most accurate results from NormalizeScaleGradient,
you need to purchase a license for the C++ module NSGXnml.
This runs in the background and enables all of
NSG's extra capabilities. See the
Purchase page.
Customer Reviews (NSG)
Tale Of Wuxia | Build 13538331 Install //free\\
General Steps for Installing Game Builds
Download the Build: First, ensure you have a trusted source to download the game build from. For "Tale of Wuxia," this could be the official website, a gaming forum, or a distribution platform like Steam or GOG. When downloading from third-party sites, be cautious and ensure you're not downloading malware.
Check System Requirements: Before installation, verify that your computer meets the game's system requirements. This information is usually available on the game's official website or on the distribution platform.
Installation Steps:
For Windows:
Run the Installer: Once the download is complete, run the installer. You might need to extract the files first if the download is in an archive format (like .zip or .rar).
Follow On-Screen Instructions: The installer will guide you through the installation process. Choose your preferred installation location, agree to any terms of service, and select any additional components you'd like to install.
For macOS:
Open the .dmg File: If you're on a Mac and the game comes in a .dmg file, open it and drag the game icon to your Applications folder.
Verify Installation: Depending on your macOS version, you might need to allow installations from unidentified developers. You can do this by going to System Preferences > Security & Privacy.
Cracks and Patches: If the build you're installing requires a crack or patch (often the case with pre-release or custom builds), make sure to follow the instructions provided with these files carefully. This usually involves copying specific files into your game directory.
Launch the Game: After installation, launch the game. If you encounter any issues, ensure your graphics drivers are up to date, and consider running the game in compatibility mode if you're on Windows.
The Complete Guide to Tale of Wuxia Build 13538331: How to Install, Optimize, and Master the Classic RPG
Meta Description: Struggling with the Tale of Wuxia build 13538331 install? This guide provides a step-by-step installation walkthrough, fixes for common errors, and modding tips for the definitive version of Heluo Studio’s masterpiece. tale of wuxia build 13538331 install
Fixing Black Screen on Launch
Build 13538331 uses DirectX 9.0c. Modern GPUs may struggle.
Navigate to TaleOfWuxia_Data/Plugins.
Delete or rename dxgi.dll if present.
Download and install DirectX End-User Runtimes (June 2010).
Q: Can I downgrade from Build 13538331 to an older version?
A: On Steam, no—unless you use third-party depot downloaders (risky). On GOG, uninstall and reinstall using the older offline installer.
Frequently Asked Questions (FAQ)
Q: Can I install Build 13538331 over a newer build?
A: No. Uninstall the current version first. Incompatible script files will cause crashes.
Q: Does this build work on Steam Deck?
A: Yes, but you must use Proton 5.13-6 or older. Newer Proton versions break the intro videos.
Q: My save file from Build 13538331 won’t load after I reinstalled Windows.
A: Save files are tied to the Windows user account name. If your username changed, use a hex editor to replace the old username in the .save file. General Steps for Installing Game Builds
Q: Is there a way to skip the launcher?
A: Create a shortcut directly to wuxia.exe and add -noLauncher to the target path.
Call to Action: If you found this guide useful, share it on the r/TaleOfWuxia subreddit. And if you encounter a new error during your tale of wuxia build 13538331 install, leave a comment below—the community updates this guide monthly. Happy cultivating, martial artist! 🥋
Here’s a concise forum-style post you can use to ask for help installing Tale of Wuxia (build 13538331):
Title: Help Installing Tale of Wuxia (Build 13538331)
Followed prompts; installation failed/finished but game won’t launch / shows error: (copy exact error message)
Troubleshooting tried:
Run as Administrator
Disabled antivirus/firewall
Verified files / re-downloaded installer
Installed Visual C++ Redistributables / DirectX
Ran in compatibility mode
Questions:
Is build 13538331 the latest stable build or a beta? Any known issues?
Are there specific dependencies or runtime libraries required?
Recommended install method (Steam/GOG/manual)?
Any registry fixes or config tweaks to get past this error?
Logs & error details:
Attach any installer logs, crash dumps, or screenshots.
Thanks — any pointers, links to working installers, or steps to fix common install errors would be appreciated.
If you want, tell me the exact error message and your OS and I’ll draft a more specific troubleshooting post.
Xu Kang, May 2025
... Your dedication to advancing astrophotography post-processing deserves sincere appreciation.
I look forward to pushing the boundaries of imaging with these sophisticated algorithms.
Sky at Night magazine, October 2023, p78
Mathew Ludgate, Astronomy Photographer of the year shortlisted entrant in the 'Stars and Nebulae' category:
... After using the WBPP script in PixInsight to perform image calibration and registration,
I utilised the Normalize Scale Gradient (NSG) script by John Murphy.
This corrects the brightness and gradient of your subs using
differential photometry to model the relative scales and gradients.
I image at a dark site but I still find NSG very useful as a first step...
Paul Denny, 2023
... thank you for writing this script [NSG]
and making it available to the astrophotography community.
I am quite new to this and still on a steep learning curve,
but I do know enough to see what a great tool this is,
as is your excellent documentation and YouTube videos.
I feel as though I understand and have control over this part
of the processing flow for the first time.
AdamBlockStudios, Adam Block, 2022
... I helped (with some advice and ideas) the brilliant John Murphy as he crafted NormalizeScaleGradient (NSG).
The normalization and weighting of data is a fundamental and critical component of image processing.
NormalizeScaleGradient (NSG) normalizes the scale and gradient to that of the reference image.
Differential stellar photometry is used to determine the scale, and a surface spline to model the relative gradient.
It is designed to achieve the following goals:
Scaling the target images: This involves multiplying each target image by a factor to
make its (brightness) scale match that of the reference image. This has to be done before gradient removal.
Relative gradient removal: After normalization, all the target frames
will only contain the gradient present in the reference image.
By choosing the reference image carefully, the overall gradient is reduced and simplified.
Image weights: Calculate image weights using the scientifically correct formula
(signal to noise ratio)²
Accurate normalization is crucial for good data rejection while stacking.
Finding the best reference image
PixInsight already includes a blink tool, but for judging gradients, the displayed images can be misleading.
The reason for this is it's difficult to display all the images in a completely fair way;
The STF and Histogram functions do not accurately normalize the images.
An image with a large gradient is likely to be scaled differently to an image without light pollution.
This makes it difficult to determine how the image gradients compare.
The NSG blink dialog is specialized for finding the best reference image:
Normalizes all the images for scale and offset. This normalization corrects the average background level, but not the gradient.
Displays the original background level, and an estimate of the gradient in two different directions.
Sorts the blink images by NWEIGHT.
Integer zoom to allow individual pixel inspection without interpolation. The window is resizable, with scrollbars when needed.
Ability to blink between the current image and a bookmarked image.
Ability to control the STF that is applied to all the images.
Maximize available screen space.
Automatically releases memory after the dialog is closed.
Accurate scale factor
Photometry is used to determine a very accurate (brightness) scale factor.
Great care is taken to ensure that exactly the same stars are used in the
reference and target images.
Gradient correction: What you see is what you get.
Mouse over the image to display the gradient correction.
This simulates the user toggling the 'Gradient corrected target' checkbox.
If the reference checkbox is not selected (as in this example),
it blinks between the uncorrected and corrected target image.
If the reference checkbox is selected,
it blinks between the reference image and corrected target image.
Modify the 'Gradient smoothness' until the correction is excellent.
What you see is what you get, making it easy to achieve optimum results.
It is important to understand that NSG
is designed to make the target image's gradient match
the reference image. Any gradient in the reference image will remain and must be removed
after stacking with a process such as DynamicBackgroundExtraction.
Transmission graph: Detect the clouds!
A sudden dip indicates a reduction in the astronomical signal
(this graph ignores variations in light pollution). A sudden dip indicates
clouds, or a partially obscured telescope aperture (for example, by the dome).
Clouded images are always worth removing because they can introduce complex gradients
that are difficult to remove. We want our image to faithfully represent the astronomical
object, and not the local weather conditions!
Weight graph: Specify image weight cut off.
The image weight is calculated from the (signal to noise ratio)².
This is affected by transmission, light pollution and camera noise.
ImageIntegration: Displayed on NSG exit.
On NSG's exit,
ImageIntegration is invoked, configured to use NSG's results.
The Normalization is set to 'Local normalization' (In hindsight, I should probably have called NSG
'PhotometricLocalNormalization', but it's probably too late to change its name now).
ImageIntegration will use the *.xnml local normalization files that
NSG created. These files contain the
(brightness) scale factor and gradient correction; ImageIntegration will apply them to the target images.
The 'Weights' is set to 'PSF Scale SNR'. This instructs ImageIntegration to use the
weights that NSG calculated and stored within the *.xnml local normalization files.
The target files are added to ImageIntegration in order of decreasing weight.
Images that failed either the transmission or weight cutoff criteria are disabled with a 'x'.
