https://forum.selur.net/ Sat, 27 Jun 2026 07:49:48 +0000 MyBB https://forum.selur.net/thread-4426.html Sun, 21 Jun 2026 20:58:31 +0200 Ronaldo2002]]> https://forum.selur.net/thread-4426.html
Link : https://www.1024tera.com/wap/share/filel...ected=true]]>
Link : https://www.1024tera.com/wap/share/filel...ected=true]]> https://forum.selur.net/thread-4416.html Tue, 16 Jun 2026 15:38:25 +0200 lastchance22]]> https://forum.selur.net/thread-4416.html I'm working on a PAL DVD source and I'm having trouble getting a clean encode.
The video appears to have interlacing issues and what looks like frame blending. I've tried several deinterlacing settings, but I can't seem to remove the artifacts without introducing new problems such as loss of detail, ghosting, or motion issues.
At this point I'm not sure whether the source is simply interlaced, field-blended, or affected by a PAL conversion process.
Could anyone take a look and advise me on the best approach? In particular, I'd like to know:

• How to correctly identify the type of issue present in the source.
  
• Which filters or settings should be enabled or disabled.
  
• Whether deinterlacing alone is sufficient or if a more advanced restoration workflow is required.
  
• Recommended settings for achieving the cleanest possible encode.
  

I've attached sample screenshots and/or a short sample clip.
Any advice would be greatly appreciated.

Sample: http://titant.free.fr/tmp/LH01.mkv
Screenshot: 
  L01.jpg (Size: 109,53 KB / Downloads: 13)

PS: Selur, you've helped me in the past and I know you're very knowledgeable about this kind of issue. I'm sure you'll be able to point me in the right direction and help me figure out the proper solution.]]> I'm working on a PAL DVD source and I'm having trouble getting a clean encode.
The video appears to have interlacing issues and what looks like frame blending. I've tried several deinterlacing settings, but I can't seem to remove the artifacts without introducing new problems such as loss of detail, ghosting, or motion issues.
At this point I'm not sure whether the source is simply interlaced, field-blended, or affected by a PAL conversion process.
Could anyone take a look and advise me on the best approach? In particular, I'd like to know:

• How to correctly identify the type of issue present in the source.
  
• Which filters or settings should be enabled or disabled.
  
• Whether deinterlacing alone is sufficient or if a more advanced restoration workflow is required.
  
• Recommended settings for achieving the cleanest possible encode.
  

I've attached sample screenshots and/or a short sample clip.
Any advice would be greatly appreciated.

Sample: http://titant.free.fr/tmp/LH01.mkv
Screenshot: 
  L01.jpg (Size: 109,53 KB / Downloads: 13)

PS: Selur, you've helped me in the past and I know you're very knowledgeable about this kind of issue. I'm sure you'll be able to point me in the right direction and help me figure out the proper solution.]]> https://forum.selur.net/thread-4393.html Fri, 29 May 2026 11:12:27 +0200 bigOrange123]]> https://forum.selur.net/thread-4393.html I'm restoring old films and TV series and keep running into a recurring image quality issue: strong edges often show a purple band or halo. The artifact appears consistently around candlelight in night scenes, as well as along high-contrast edges in daylight. Here are a few examples
     

I'm not entirely sure of the correct term – it may be related to “purple flare” or chromatic aberration. It’s very distracting and seriously degrades the viewing experience.
 
The same clips frequently suffer from a related dark edge problem. For example, candle flames often show a dark line on one side and a purple fringe on the other – extremely annoying.


I'm looking for an effective method/workflow that can remove these artifacts. I will provide a short test video; you only need to process the segments shown in the screenshots (no need to run the entire clip).

test video clip
https://drive.google.com/file/d/1kmni1sN...sp=sharing

Key requirements:


Minimize luma (Y) channel processing as much as possible, and avoid noticeable detail loss. Ideally, the Y channel should be left mostly untouched, but limited processing is acceptable if it doesn’t degrade fine details significantly. This step serves as a pre-processing module before an AI model handles detail restoration, so preserving image information is critical.

Please note: the test source has been badly upscaled (not by me – I received it this way). You are free to downscale it if necessary.

If your solution meets my requirements, I'll pay $100 USD. Please provide a clear workflow (script, filter chain, or detailed steps) that I can apply. ]]> I'm restoring old films and TV series and keep running into a recurring image quality issue: strong edges often show a purple band or halo. The artifact appears consistently around candlelight in night scenes, as well as along high-contrast edges in daylight. Here are a few examples
     

I'm not entirely sure of the correct term – it may be related to “purple flare” or chromatic aberration. It’s very distracting and seriously degrades the viewing experience.
 
The same clips frequently suffer from a related dark edge problem. For example, candle flames often show a dark line on one side and a purple fringe on the other – extremely annoying.


I'm looking for an effective method/workflow that can remove these artifacts. I will provide a short test video; you only need to process the segments shown in the screenshots (no need to run the entire clip).

test video clip
https://drive.google.com/file/d/1kmni1sN...sp=sharing

Key requirements:


Minimize luma (Y) channel processing as much as possible, and avoid noticeable detail loss. Ideally, the Y channel should be left mostly untouched, but limited processing is acceptable if it doesn’t degrade fine details significantly. This step serves as a pre-processing module before an AI model handles detail restoration, so preserving image information is critical.

Please note: the test source has been badly upscaled (not by me – I received it this way). You are free to downscale it if necessary.

If your solution meets my requirements, I'll pay $100 USD. Please provide a clear workflow (script, filter chain, or detailed steps) that I can apply. ]]> https://forum.selur.net/thread-4385.html Sat, 16 May 2026 22:15:51 +0200 NASS]]> https://forum.selur.net/thread-4385.html What you’ve done with Hybrid is truly magnificent.
I wanted to report an issue regarding ColorAdjust with the ReColor option. I’m using the official Hybrid version (Hybrid_2026.03.21.1_SETUP), not the development build and VapoursynthR73_torch_2026.02.26.
The issue that still persists is significant distortions on moving objects when ReColor is enabled. I tried reducing the problem using:

qtgmc.QTGMC(clip, Preset="Very Slow", InputType=3, TR2=2, TFF=False, SourceMatch=0, Lossless=0)

and it reduced the issue a little, but the distortions are still visible.
It’s a shame because this is a really great feature, but this small problem affects the final result. We definitely need to find a solution!

https://drive.google.com/drive/folders/1...KwSv1D5ifD

PS: P.S. In the development version ColorAdjust with the ReColor, there is also a temporal consistency issue across the whole image, similar to a flickering effect from frame to frame + Distortion .

Best regards]]> What you’ve done with Hybrid is truly magnificent.
I wanted to report an issue regarding ColorAdjust with the ReColor option. I’m using the official Hybrid version (Hybrid_2026.03.21.1_SETUP), not the development build and VapoursynthR73_torch_2026.02.26.
The issue that still persists is significant distortions on moving objects when ReColor is enabled. I tried reducing the problem using:

qtgmc.QTGMC(clip, Preset="Very Slow", InputType=3, TR2=2, TFF=False, SourceMatch=0, Lossless=0)

and it reduced the issue a little, but the distortions are still visible.
It’s a shame because this is a really great feature, but this small problem affects the final result. We definitely need to find a solution!

https://drive.google.com/drive/folders/1...KwSv1D5ifD

PS: P.S. In the development version ColorAdjust with the ReColor, there is also a temporal consistency issue across the whole image, similar to a flickering effect from frame to frame + Distortion .

Best regards]]> https://forum.selur.net/thread-4384.html Fri, 15 May 2026 19:27:39 +0200 RetroHelix]]> https://forum.selur.net/thread-4384.html


Now I was wondering if I can pimp the output a bit and tried to remove rainbow effects (see the lapel of the right guy and the necktie (green at the end of the screen) of the left guy) but was not able to get a good output:

The effect is even stronger than in the original :\

I tried some suggestions from here (link) but Hqdn3d and/or Degraining was not helping. Honestly I feel a bit lost. I'm just too dumb to alter the parameters of the filters in a meaningful way.

In the original Video you can see heavy rainbowing in the beginning and at 1:30.

Would be nice if someone is able to help me with this. Can this even be removed?


Thank you]]>


Now I was wondering if I can pimp the output a bit and tried to remove rainbow effects (see the lapel of the right guy and the necktie (green at the end of the screen) of the left guy) but was not able to get a good output:

The effect is even stronger than in the original :\

I tried some suggestions from here (link) but Hqdn3d and/or Degraining was not helping. Honestly I feel a bit lost. I'm just too dumb to alter the parameters of the filters in a meaningful way.

In the original Video you can see heavy rainbowing in the beginning and at 1:30.

Would be nice if someone is able to help me with this. Can this even be removed?


Thank you]]> https://forum.selur.net/thread-4379.html Sat, 25 Apr 2026 20:12:51 +0200 NASS]]> https://forum.selur.net/thread-4379.html I would like to open a discussion about an important challenge for exemplar-based colorization methods:
Keyframe Color Consistency Challenge
We need to find a reliable way to achieve temporal consistency between colorized keyframes so they can be used for the full colorization of black and white videos.
At the moment, one of the main limitations is that even when keyframes are individually colorized well, colors often vary from one keyframe to another. This creates flickering, unstable tones, skin tone changes, clothing color drift, and inconsistencies in objects or environments when processing the full sequence.
Why This Matters
For real-world video restoration, getting beautiful frame-by-frame results is not enough. We need:

• Stable skin tones from scene to scene
  
• Consistent clothing and object colors
  
• Lighting adaptation without color drift
  
• Smooth transitions between distant keyframes
  
• Reliable propagation across long sequences
  

Some Approaches I Tested
I experimented with several workflows using Automatic1111 + ControlNet + IP-Adapter.
Example Setup in Automatic1111
Main txt2img Prompt
Positive Prompt:

masterpiece, best quality, colorized photograph, vibrant, highly detailed

Negative Prompt:

black and white, grayscale, monochrome, bad quality, deformed

ControlNet Unit 0 (Preserve B&W Structure)

• Enable: Yes
  
• Pixel Perfect: Yes
  
• Input Image: Original black and white frame
  
• Control Type: Recolor
  
• Preprocessor:
  
  recolor_luminance
  or
  
  recolor_intensity
  
  
• Model:
  
  ioclab_sd15_recolor
  
  
• Weight:
  
  1.0
  (or
  
  0.8
  if too strong)
  

ControlNet Unit 1 (Inject Keyframe Colors)

• Enable: Yes
  
• Pixel Perfect: Yes
  
• Input Image: Previously colorized reference keyframe
  
• Control Type: IP-Adapter
  
• Preprocessor:
  
  ip-adapter_clip_sd15
  
  
• Model:
  
  ip-adapter_sd15
  
  
• Weight:
  
  0.8 – 1.0
  
  

This helps transfer colors from one keyframe to another while respecting the luminance of the target black and white frame.
But Problems Remain
Even with this method:

• Colors still drift over time
  
• Different scenes generate different palettes
  
• The same person may change skin tone
  
• Sky, grass, and buildings vary between shots
  
• Propagation becomes unstable in long videos
  

2 - Qwen-Image-Edit
From my tests, Qwen-Image-Edit currently delivers some of the best single-keyframe colorization results in terms of realism, detail, and natural palette generation.
However, there is still no practical way to maintain the same temporal consistency across all other keyframes in the video.
So even if one keyframe looks excellent, the next keyframe may still shift in:

• Skin tone
  
• Clothing colors
  
• Environment palette
  
• Object consistency
  
• Scene mood
  

Main Question
Could it be possible to use Qwen-Image-Edit for colorize all keyframes?
For example:

• Use one master keyframe style and propagate it
  
• Multi-keyframe palette memory
  
• Identity/object color locking
  
• Reference-aware batch processing
  
• Latent temporal consistency between generated keyframes
  

What Do You Think?
Is there a way to use Qwen-Image-Edit to colorize all keyframes and create one unified temporal color source for all reference images (keyframes)?
This could be a major breakthrough for AI video colorization.
Your turn — ideas, experiments, thoughts?]]> I would like to open a discussion about an important challenge for exemplar-based colorization methods:
Keyframe Color Consistency Challenge
We need to find a reliable way to achieve temporal consistency between colorized keyframes so they can be used for the full colorization of black and white videos.
At the moment, one of the main limitations is that even when keyframes are individually colorized well, colors often vary from one keyframe to another. This creates flickering, unstable tones, skin tone changes, clothing color drift, and inconsistencies in objects or environments when processing the full sequence.
Why This Matters
For real-world video restoration, getting beautiful frame-by-frame results is not enough. We need:

• Stable skin tones from scene to scene
  
• Consistent clothing and object colors
  
• Lighting adaptation without color drift
  
• Smooth transitions between distant keyframes
  
• Reliable propagation across long sequences
  

Some Approaches I Tested
I experimented with several workflows using Automatic1111 + ControlNet + IP-Adapter.
Example Setup in Automatic1111
Main txt2img Prompt
Positive Prompt:

masterpiece, best quality, colorized photograph, vibrant, highly detailed

Negative Prompt:

black and white, grayscale, monochrome, bad quality, deformed

ControlNet Unit 0 (Preserve B&W Structure)

• Enable: Yes
  
• Pixel Perfect: Yes
  
• Input Image: Original black and white frame
  
• Control Type: Recolor
  
• Preprocessor:
  
  recolor_luminance
  or
  
  recolor_intensity
  
  
• Model:
  
  ioclab_sd15_recolor
  
  
• Weight:
  
  1.0
  (or
  
  0.8
  if too strong)
  

ControlNet Unit 1 (Inject Keyframe Colors)

• Enable: Yes
  
• Pixel Perfect: Yes
  
• Input Image: Previously colorized reference keyframe
  
• Control Type: IP-Adapter
  
• Preprocessor:
  
  ip-adapter_clip_sd15
  
  
• Model:
  
  ip-adapter_sd15
  
  
• Weight:
  
  0.8 – 1.0
  
  

This helps transfer colors from one keyframe to another while respecting the luminance of the target black and white frame.
But Problems Remain
Even with this method:

• Colors still drift over time
  
• Different scenes generate different palettes
  
• The same person may change skin tone
  
• Sky, grass, and buildings vary between shots
  
• Propagation becomes unstable in long videos
  

2 - Qwen-Image-Edit
From my tests, Qwen-Image-Edit currently delivers some of the best single-keyframe colorization results in terms of realism, detail, and natural palette generation.
However, there is still no practical way to maintain the same temporal consistency across all other keyframes in the video.
So even if one keyframe looks excellent, the next keyframe may still shift in:

• Skin tone
  
• Clothing colors
  
• Environment palette
  
• Object consistency
  
• Scene mood
  

Main Question
Could it be possible to use Qwen-Image-Edit for colorize all keyframes?
For example:

• Use one master keyframe style and propagate it
  
• Multi-keyframe palette memory
  
• Identity/object color locking
  
• Reference-aware batch processing
  
• Latent temporal consistency between generated keyframes
  

What Do You Think?
Is there a way to use Qwen-Image-Edit to colorize all keyframes and create one unified temporal color source for all reference images (keyframes)?
This could be a major breakthrough for AI video colorization.
Your turn — ideas, experiments, thoughts?]]> https://forum.selur.net/thread-4375.html Wed, 22 Apr 2026 17:15:03 +0200 lastchance22]]> https://forum.selur.net/thread-4375.html I’m currently working on encoding a DVD source and I’m trying to achieve the best possible final quality, but I’ve run into several issues.
The main problem is noticeable ghosting/blending (likely caused by a poor deinterlacing or blending process). I’ve already tried a few deblending methods, but none of them gave truly satisfying results — the ghosting is still quite visible, especially in motion scenes.
More generally, I’d like to properly clean up the source before encoding. So I’m not only looking for advice on deblending, but also on the overall best workflow and filters to improve the final result.
For example:

• Proper way to handle this kind of blended/interlaced source
  
• Recommended deinterlacing / deblending settings or filters
  
• Whether additional steps like denoising, debanding, or sharpening would help (and in what order)
  
• Any specific encoding settings that would preserve as much detail as possible
  

I’ve attached a short sample clip so you can see exactly what I’m dealing with.
My goal is to get a clean and efficient encode (likely in HEVC/x265) without introducing artifacts or losing too much detail.
Any advice or recommended workflow would be greatly appreciated.

Thanks in advance!


http://titant.free.fr/tmp/B1_t00.mkv

  B1_t00.00.jpg (Size: 70,1 KB / Downloads: 76) ]]> I’m currently working on encoding a DVD source and I’m trying to achieve the best possible final quality, but I’ve run into several issues.
The main problem is noticeable ghosting/blending (likely caused by a poor deinterlacing or blending process). I’ve already tried a few deblending methods, but none of them gave truly satisfying results — the ghosting is still quite visible, especially in motion scenes.
More generally, I’d like to properly clean up the source before encoding. So I’m not only looking for advice on deblending, but also on the overall best workflow and filters to improve the final result.
For example:

• Proper way to handle this kind of blended/interlaced source
  
• Recommended deinterlacing / deblending settings or filters
  
• Whether additional steps like denoising, debanding, or sharpening would help (and in what order)
  
• Any specific encoding settings that would preserve as much detail as possible
  

I’ve attached a short sample clip so you can see exactly what I’m dealing with.
My goal is to get a clean and efficient encode (likely in HEVC/x265) without introducing artifacts or losing too much detail.
Any advice or recommended workflow would be greatly appreciated.

Thanks in advance!


http://titant.free.fr/tmp/B1_t00.mkv

  B1_t00.00.jpg (Size: 70,1 KB / Downloads: 76) ]]> https://forum.selur.net/thread-4365.html Fri, 10 Apr 2026 00:27:15 +0200 NASS]]> https://forum.selur.net/thread-4365.html
I am working on a custom video colorization pipeline heavily inspired by ColorMNet, but I completely overhauled the core architecture to make it state-of-the-art:

1. Backbone Upgrade: Replaced DINOv2 with DINOv3 for denser and richer semantic feature extraction.
2. Memory Upgrade: Upgraded the tracking engine to the XMem++ architecture (incorporating Permanent Memory).

The Progress:
I successfully trained the model from scratch up to 145,000 iterations (DAVIS AND REDS AND 16MM FILM)
The temporal stability and object tracking are mind-blowing. If I provide a reference frame with a red car, the car stays perfectly red throughout the whole video, even through severe occlusions.

The Problem:
While the tracking is perfect, I am experiencing a spatial issue: Color Bleeding / Spilling ( specifically spilling over the ground/road and the sky )



Call for Collaboration:
I am reaching out to see if we can team up to stabilize this model. Once we fix this spatial bleeding, I truly believe this will be the ultimate upgrade to ColorMNet.

To get things started, I have attached all the files to this post:

    The complete training and inference source code.

    The test scripts.

    The trained model weights (at 145k iterations).

    The visual results along with the reference images.

Let's build something great together. Any advice or pull requests are welcome!

Best

NASS

Script and model: https://drive.google.com/file/d/1JV7V2pp...sp=sharing

Resultat: https://drive.google.com/file/d/1aKtCB5Q...sp=sharing

For Test: python nass.py --input 0000.mp4 --ref_path REF --model saves/color_v3_3090_145000.pth]]>
I am working on a custom video colorization pipeline heavily inspired by ColorMNet, but I completely overhauled the core architecture to make it state-of-the-art:

1. Backbone Upgrade: Replaced DINOv2 with DINOv3 for denser and richer semantic feature extraction.
2. Memory Upgrade: Upgraded the tracking engine to the XMem++ architecture (incorporating Permanent Memory).

The Progress:
I successfully trained the model from scratch up to 145,000 iterations (DAVIS AND REDS AND 16MM FILM)
The temporal stability and object tracking are mind-blowing. If I provide a reference frame with a red car, the car stays perfectly red throughout the whole video, even through severe occlusions.

The Problem:
While the tracking is perfect, I am experiencing a spatial issue: Color Bleeding / Spilling ( specifically spilling over the ground/road and the sky )



Call for Collaboration:
I am reaching out to see if we can team up to stabilize this model. Once we fix this spatial bleeding, I truly believe this will be the ultimate upgrade to ColorMNet.

To get things started, I have attached all the files to this post:

    The complete training and inference source code.

    The test scripts.

    The trained model weights (at 145k iterations).

    The visual results along with the reference images.

Let's build something great together. Any advice or pull requests are welcome!

Best

NASS

Script and model: https://drive.google.com/file/d/1JV7V2pp...sp=sharing

Resultat: https://drive.google.com/file/d/1aKtCB5Q...sp=sharing

For Test: python nass.py --input 0000.mp4 --ref_path REF --model saves/color_v3_3090_145000.pth]]> https://forum.selur.net/thread-4363.html Tue, 07 Apr 2026 19:42:01 +0200 georgepriftakis]]> https://forum.selur.net/thread-4363.html

https://mega.nz/file/B6IHGQqB#z5u-Ftp1Us...x65aTXrJrA]]>

https://mega.nz/file/B6IHGQqB#z5u-Ftp1Us...x65aTXrJrA]]> https://forum.selur.net/thread-4361.html Mon, 06 Apr 2026 14:40:53 +0200 lastchance22]]> https://forum.selur.net/thread-4361.html Hi everyone,
I’m having trouble improving the quality of an anime video and I can’t seem to fully fix it.
Source info:

• FPS: 29.970
  
• I already processed it with SRestore to get back to 23.976 fps
  
• I also used QTGMC to fix interlacing
  

Current issue:
There are still a lot of small bright and colored pixels around the lineart (edges). It looks like strong compression artifacts (ringing / mosquito noise), almost like an over-compressed JPEG.
What I already tried in Hybrid:

• DeHaloAlpha (Radius 2, Strength 1–2)
  
• HQDeRing (Y + U + V checked)
  
• Deband (f3kdb Neo, light settings)
  

Despite this, the pixels around the lines are still very visible.
What I’m looking for:

• Best way to reduce/remove these artifacts without destroying line detail
  
• Recommended filters or settings in Hybrid / VapourSynth
  
• Whether this can be properly fixed or if it’s just a limitation of the source
  

If needed, I can provide screenshots or a sample.
Thanks a lot for your help!
  vlcsnap.jpg (Size: 303,25 KB / Downloads: 94) ]]> Hi everyone,
I’m having trouble improving the quality of an anime video and I can’t seem to fully fix it.
Source info:

• FPS: 29.970
  
• I already processed it with SRestore to get back to 23.976 fps
  
• I also used QTGMC to fix interlacing
  

Current issue:
There are still a lot of small bright and colored pixels around the lineart (edges). It looks like strong compression artifacts (ringing / mosquito noise), almost like an over-compressed JPEG.
What I already tried in Hybrid:

• DeHaloAlpha (Radius 2, Strength 1–2)
  
• HQDeRing (Y + U + V checked)
  
• Deband (f3kdb Neo, light settings)
  

Despite this, the pixels around the lines are still very visible.
What I’m looking for:

• Best way to reduce/remove these artifacts without destroying line detail
  
• Recommended filters or settings in Hybrid / VapourSynth
  
• Whether this can be properly fixed or if it’s just a limitation of the source
  

If needed, I can provide screenshots or a sample.
Thanks a lot for your help!
  vlcsnap.jpg (Size: 303,25 KB / Downloads: 94) ]]> https://forum.selur.net/thread-4358.html Wed, 01 Apr 2026 21:36:22 +0200 lsd4me2]]> https://forum.selur.net/thread-4358.html [/img]

Backing up up my Simpsons dvd collection.  I did  tivtc with qtgmc fast, VInverse2, KNLMeansCL, YAHR, Santiag followed by a NNEDi3 resize to convert to square pixels at 640x480. The result is great except for about 100 frames around the 2:30 mark. It seems to be imbedded in the source as it occurs even when i play the  untouched vob ripped from the disc. Any idea's of how to fix this? Can i just fix the 100 or so problem frames without messing  with the rest of the episode?]]> [/img]

Backing up up my Simpsons dvd collection.  I did  tivtc with qtgmc fast, VInverse2, KNLMeansCL, YAHR, Santiag followed by a NNEDi3 resize to convert to square pixels at 640x480. The result is great except for about 100 frames around the 2:30 mark. It seems to be imbedded in the source as it occurs even when i play the  untouched vob ripped from the disc. Any idea's of how to fix this? Can i just fix the 100 or so problem frames without messing  with the rest of the episode?]]> https://forum.selur.net/thread-4349.html Mon, 16 Mar 2026 16:14:02 +0100 georgepriftakis]]> https://forum.selur.net/thread-4349.html


https://mega.nz/file/1iBjjJhK#Z3x8r-JJxm...sBLz2ldlOI]]>


https://mega.nz/file/1iBjjJhK#Z3x8r-JJxm...sBLz2ldlOI]]> https://forum.selur.net/thread-4343.html Sat, 07 Mar 2026 09:56:26 +0100 Selur]]> https://forum.selur.net/thread-4343.html I added deblendS6 which is an alternative to sRestore mode=6, where I tried to:
a. keep the results (nearly) the same as sRestore mode=6
b. speed the whole thing up
c. add lookaheads and threading

Would be nice if someone uses it instead of sRestore mode=6 to give some general feedback.

Cu Selur]]> I added deblendS6 which is an alternative to sRestore mode=6, where I tried to:
a. keep the results (nearly) the same as sRestore mode=6
b. speed the whole thing up
c. add lookaheads and threading

Would be nice if someone uses it instead of sRestore mode=6 to give some general feedback.

Cu Selur]]> https://forum.selur.net/thread-4340.html Tue, 03 Mar 2026 17:22:34 +0100 georgepriftakis]]> https://forum.selur.net/thread-4340.html


Link to video: https://mega.nz/file/U7RzSATL#AEOYV3szPs...Z6o90oOLsk]]>


Link to video: https://mega.nz/file/U7RzSATL#AEOYV3szPs...Z6o90oOLsk]]> https://forum.selur.net/thread-4338.html Mon, 02 Mar 2026 16:21:41 +0100 georgepriftakis]]> https://forum.selur.net/thread-4338.html

video: https://mega.nz/file/ojR3kSxT#CeiSOzAsGt...GGkmbjPw-o]]>

video: https://mega.nz/file/ojR3kSxT#CeiSOzAsGt...GGkmbjPw-o]]>