Some NAM profiles for y'all

ReLoaded: Mesa Boogie Badlander 100W (EL34)​



This pack features the Mesa Boogie Badlander Rectifier 100W (EL34) captured using a
✅
real
✅
Mesa 4x12 Oversized Straight cabinet loading down the amplifier.

Legendary Tones "Mr.Scary Mod" included
🔥


The legacy packs, captured with a reactive load, are still available free of charge on Tone3000.com.

TLDR:

Free community pack on Tone3000: https://www.tone3000.com/tones/reloaded-mesa-boogie-badlander-100w-el34-community-pack-43427

Full pack on Ko-Fi: https://ko-fi.com/s/9bfc80411c

ℹ️
Summary

Calibrated profiles (STANDARD & xSTD architectures) showcase the amp’s tone range.

AMP, POW, and PRE profiles capture maximum flexibility and accuracy using a high-quality signal chain.

AMP and POW profiles use a real Mesa 4x12 Oversized Straight cabinet for the most faithful experience.

This full pack covers all 3 modes (Clean, Crunch, & Crush) and includes:

• 70 x AMP profiles (1 x DI and 9 mic-ed up, full-rig flavors for every knob combination used)
• 50 x PRE profiles
• 42 x POW profiles (1 x DI and 9 mic-ed up, full-rig flavors for every knob combination used)
• 20 x OD pedal profiles

Total: 1,190 individual NAM files.

All profiles are trained twice in STD and xSTD architectures, resulting in 2,380 individual NAM files with xSTD accounted for.

✅
Efficiency

Streamlined for users across platforms (Dimehead, Valeton GP-5 etc), AMP & POW profiles offer 10 flavors:

• DI: raw poweramp <-> cab signal tapped with a DI box, no microphone
• SM57-CNT: full-rig chain, cab mic-ed with a Fredman 55” Shure SM57 on the speaker center
• SM57-OAX: full-rig chain, cab mic-ed with a Fredman 55” Shure SM57 off axis
• SM58: full-rig chain, cab mic-ed with a Shure SM58
• FREDMAN #1: full-rig chain using the Fredman 55” technique, no volume tweak
• FREDMAN #2: full-rig chain using the Fredman 55” technique, off-axis 2dB boost
• BLEND #1: full-rig chain, cab mic-ed with 2 mics (Shure SM57-CNT & SM58) blended
• BLEND #2: full-rig chain, cab mic-ed with 2 mics (Shure SM57-OAX & SM58) blended
• BLEND #3: full-rig chain, cab mic-ed with 2 mics (FREDMAN #1 & SM58) blended
• BLEND #4: full-rig chain, cab mic-ed with 2 mics (FREDMAN #2 & SM58) blended

📒
Spreadsheet with settings & inspiration for all profiles:

mega.nz/file/TlRFTTqD#JJYozOEJRgY2v7PAt15oe8RE422LcSpoVmEZZV342A0

Rock on 🤘
 

ReLoaded: Mesa Boogie Badlander 100W (EL34)​



This pack features the Mesa Boogie Badlander Rectifier 100W (EL34) captured using a
✅
real
✅
Mesa 4x12 Oversized Straight cabinet loading down the amplifier.

Legendary Tones "Mr.Scary Mod" included
🔥


The legacy packs, captured with a reactive load, are still available free of charge on Tone3000.com.

TLDR:

Free community pack on Tone3000: https://www.tone3000.com/tones/reloaded-mesa-boogie-badlander-100w-el34-community-pack-43427

Full pack on Ko-Fi: https://ko-fi.com/s/9bfc80411c

ℹ️
Summary

Calibrated profiles (STANDARD & xSTD architectures) showcase the amp’s tone range.

AMP, POW, and PRE profiles capture maximum flexibility and accuracy using a high-quality signal chain.

AMP and POW profiles use a real Mesa 4x12 Oversized Straight cabinet for the most faithful experience.

This full pack covers all 3 modes (Clean, Crunch, & Crush) and includes:

• 70 x AMP profiles (1 x DI and 9 mic-ed up, full-rig flavors for every knob combination used)
• 50 x PRE profiles
• 42 x POW profiles (1 x DI and 9 mic-ed up, full-rig flavors for every knob combination used)
• 20 x OD pedal profiles

Total: 1,190 individual NAM files.

All profiles are trained twice in STD and xSTD architectures, resulting in 2,380 individual NAM files with xSTD accounted for.

✅
Efficiency

Streamlined for users across platforms (Dimehead, Valeton GP-5 etc), AMP & POW profiles offer 10 flavors:

• DI: raw poweramp <-> cab signal tapped with a DI box, no microphone
• SM57-CNT: full-rig chain, cab mic-ed with a Fredman 55” Shure SM57 on the speaker center
• SM57-OAX: full-rig chain, cab mic-ed with a Fredman 55” Shure SM57 off axis
• SM58: full-rig chain, cab mic-ed with a Shure SM58
• FREDMAN #1: full-rig chain using the Fredman 55” technique, no volume tweak
• FREDMAN #2: full-rig chain using the Fredman 55” technique, off-axis 2dB boost
• BLEND #1: full-rig chain, cab mic-ed with 2 mics (Shure SM57-CNT & SM58) blended
• BLEND #2: full-rig chain, cab mic-ed with 2 mics (Shure SM57-OAX & SM58) blended
• BLEND #3: full-rig chain, cab mic-ed with 2 mics (FREDMAN #1 & SM58) blended
• BLEND #4: full-rig chain, cab mic-ed with 2 mics (FREDMAN #2 & SM58) blended

📒
Spreadsheet with settings & inspiration for all profiles:

mega.nz/file/TlRFTTqD#JJYozOEJRgY2v7PAt15oe8RE422LcSpoVmEZZV342A0

Rock on 🤘


I bought this as well, as I like what you’ve offered so far and want to support your endeavours.
 
Poor neighbours—lucky us!
For sure lol.
One thing that surprised me with the SLO, having been in the room for all reamps, is that the Friedman felt bigger. That said, this SLO has to be THE quietest high-gainer I have ever tried; it's insane how quiet the thing is even with tons of gain dialed in.
 
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Just added the REVyHI (architecture by user thegearpage38) profiles as well in the community pack on Tone3000:


 
Just added the REVyHI (architecture by user thegearpage38) profiles as well in the community pack on Tone3000:


This pack deserves a proper demo, cause I really dig it! Here it is:
 
@2dor, out of interest and fascination, let me ask: From all I know, you're creating your NAM files locally, and they're even 1000 epoch files. And there's gazillions of them. Do you have like any kinda super computer? I mean, how long does it take you to train a file?
Seriously, I'm absolutely stunned.
 
@2dor, out of interest and fascination, let me ask: From all I know, you're creating your NAM files locally, and they're even 1000 epoch files. And there's gazillions of them. Do you have like any kinda super computer? I mean, how long does it take you to train a file?
Seriously, I'm absolutely stunned.
i leverage Tone3000 which gives you 10 concurrent GPUs to train; it's pretty wild actually. Nowadays, I resort to training locally on my machine for cases which converge slower & for which 1000 epochs isn't enough or my own experimenting.
 
Ladies & gents: the Friedman PLEX (EL34)



The Friedman PLEX (EL34) pack's now available.

✅
Real cab (Mesa 4x12 OS straight) used as load (no loadbox)
✅
Legendary Tones "Mr. Scary" mod used for some spicy tones
✅
STD and REVyHI architectures included
✅
Anti-aliasing signal leveraged during reamping
✅
High-fidelity signal chain used during reamping

Free community pack:


Full pack:


Happy New Year folks !
 
✅
Anti-aliasing signal leveraged during reamping

Happy New Year folks !
And a wonderful new year to you too, sir! May your camels be plentiful and your children fat!

"Anti-aliasing signal leveraged during reamping" - is this the TTSV10 sweep thing or something else? I'm not asking you to spill the secret sauce here if there is any, just curious :-)
 
And a wonderful new year to you too, sir! May your camels be plentiful and your children fat!

"Anti-aliasing signal leveraged during reamping" - is this the TTSV10 sweep thing or something else? I'm not asking you to spill the secret sauce here if there is any, just curious :-)
Thanks :D though I'm the most likely one to get fat hahaha

The signal I'm using to reamp is a stitched-up mix which contains pieces / fragments from the following sources:

- the original NAM input file
- the sine sweeps from the TTSv10 file
- the Neural DSP Neural Capture v2 file (NDSP introduced a new training sequence which is awesome)

The goal here was to get the model to have an even better transient response all with the benefits of lower aliasing.
 
- the Neural DSP Neural Capture v2 file (NDSP introduced a new training sequence which is awesome)
Aaah! Fantastic! I was wondering when someone would do that... And I had a hunch it would be you
:LOL:

This may be the wrong thread for it, but I've had a few drinks waiting for the 3D printer so I'll throw caution to the wind and ask anyway; did you see a significant improvement with this signal vs V3 with the standard model and/or xSTD, etc? And, would you be willing to share the training file?
 
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