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marlowg01

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  1. This seems pretty awesome to me, but I don't like that it says only two machine activations in the end user license. Has anyone bought this and better understand how the activation process works?? Does anyone have opinions about this in comparison to PA Byome? I hate locked to machine things that get screwed up by updates or can't be worked through interfaces to change them. I prefer license files across multiple machines for longevity.
  2. https://www.kirkhunterstudios.com/products/concert-brass-2/ It is a little older, but I like that the reverb can be turned off to better sit in a mix. Still installing right now, which is also a dated process of unzipping 30 or so files, but the demo videos for my attention. Going from solo instruments to different divisi options upon the use of number of polyphonic notes is cool too.
  3. Wow, just picked this up too. Really playable and fun. Surprised at the size given how dynamic it is.
  4. https://puremagnetik.com/products/back-to-school-blast However you get back to school this year, Puremagnetik has got your sound library covered. We've bundled together an essential collection of sounds designed to kickstart your music productivity this school year. Through September 10th, get 9 Packs - over 2GB of sounds and over $130 in value - for only $10. From drum kits to drum machines, bass guitars to vintage synths, pianos to glitch devices, Back to School Blast covers your instrument needs for all types of music making this season. It includes DeeEx, Big Bertha, Analog Drums, TrapKit, Digital Beatboxes, Kardoni, PM-70, alphaSynth and Comput0 : Synths in Live, Kontakt and Logic formats.
  5. Hello all, Gain-stage has some great sims, especially the Bogner, called Bodo. They are ridiculously CPU intensive though, so test before purchasing. I also don't really care for their licensing per machine, but the sound is amazing! The prices are from €19-25 https://www.gain-stage.com/shop
  6. So I'm trying to decide on this or Mercuriall's or the gain-stage bodo. Although I could do a couple I feel like one would be fine. Anyone have any thoughts? https://mercuriall.com/cms/details_xtc https://www.gain-stage.com/shop
  7. https://tonelib.net/purchase/ $37.50 vs $49.95 I think the amps compete well with most Sims, but the effects are fantastic and the acoustic guitar is worth it alone in my opinion. I also like the online preset sharing and the most flexible routing I've seen, ever! You can have like 5-8 routes for effects!
  8. Hey all, I stumbled, or rather re-stumbled across the old Synth 1. HOWEVER, it has been reworked as a 64 bit and has better effects, etc., and can be downloaded here: Synth1 - Daichi Laboratory https://daichilab.com/synth1/ AND, there is a place where you can subscribe and get access to 25,000 presets: 25,000 Synth 1 Presets: A Treat to all Music Producers | Techno Addicts Blog (techno-addicts.com) https://www.techno-addicts.com/uncategorized/25000-synth-1-presets Direct link for those who don't want to subscribe here: http://www.mediafire.com/file/si3klmmxeshy2ce/25%2C000_Synth1_Presets_%28UPDATED_2020_Download%29_%281%29.rar/file AND, there is a librarian that can work with the presets in a wonderful way: Downloads – Neutrino Sky https://neutrinosky.com/downloads/ These presets are really wonderful and easily hold their own against plenty of high caliber commercial plugins. Hope you all enjoy these as much as I do!
  9. This month get 'MTurboEQ' EQ, FREE with any paid purchase on ADSRsounds
  10. https://disk.yandex.ru/d/l6UQfXW752vSzg I know it's about 5 years old now, but this freebie is great between a guitar amp sim and the cab sim. It really gives a low end that creates a more 3D amp sound. Just thought I would share... Some of the amp sims are really interesting too, but they have a digital signature to my ears.
  11. Tracktion Hyperion Multi-Layer Modular Synthesizer Plugin $65.79 at JRR w/ groupbuyauto https://www.jrrshop.com/tracktion-hyperion
  12. marlowg01

    SmartAmpPro

    Thanks for sharing! I feel the same way with amplitube and THU, but didn't really give S-Gear much attention. I forgot to mention Revalver 4, Vandal, and Mercuriall, which I also respect. And I also agree with Bruno de Souza Lino, that the cab part is crucial.
  13. marlowg01

    SmartAmpPro

    So what impresses you? I've actually wanted to ask you that for a while. I'm guessing UAD or Kemper, but even more curious about pure software solutions worth raving about. I enjoy the SmartAmpPro, Nembrini, Neural Granophyre, and surprisingly, Toneforge's Jason Richardson plugins.
  14. marlowg01

    SmartAmpPro

    So I actually started working with these machine learning plugins with the PedalNet, where you download the git package and open the documents for setting up the software. This video describes the software setup and then you can skip and download the SmartGuitarPro part and use the commandline at the bottom of this post. Once I had completed that, I also installed the pip requirements for the SmartGuitarPro software. However, once I ran the plugin, a commandline window opened that said that I needed to install python and tensorflow, etc. Instead, I ran the terminal through Anaconda3 which I had used for the previous plugin and ran the following command lines for each stereo, hard-panned, un-effected on the left, effected on the right: (base) C:\Users\<username>\AppData\Roaming\GuitarML\SmartAmpPro\training>python train.py C:\Users\<username>\<location_of_stereo_wav_file(uneffected-Left, effected-Right)>\G1X4_MS800.wav G1X4_MS800 I kept the name of the wave file, but removed the *.wav extension and that is the name of the model saved. It saves in the models and tones folders in this location: C:\Users\<username>\AppData\Roaming\GuitarML\SmartAmpPro\ When you reopen the plugin, it re-scans the *.JSON models and you can access them from the pull-down. Each model takes about 5 minutes because it splits the data and using the power of your CPU to process the data more quickly than the GPU-accelerated PedalNet variant, which takes 8 hours to 2.5 days to create models depending upon your computer and hardware. I downloaded the non-cuda pytorch package because I do not have any GPUs that support either machine learning algorithms. I have spoken to the developer about my CPU woes with this plugin as well, and he suggested compiling for the specific system that you have to improve performance. I plan to do this and look at the code to see if I can see any optimizations that can reduce CPU. I have found that closing the GUI greatly reduces CPU, so I think that the GUI coding is probably trying to update too frequently, but I am not sure. Post what you create if you can! I'd love to see what others produce too. And here are a few new ones I made that I think also turned out pretty well: G1X4_HG_Throttle.json G1X4_RedCrunch.json G1X4_UK30A.json ENGL_Savage_120.json
  15. marlowg01

    SmartAmpPro

    If anyone wants me to convert a model for them, I can. Just send me the direct guitar recording and the one from the plugin or hardware pedal or amplifier and I can convert and post or email the .JSON file for you. The recording has to be about 3.5min long to get the best model. The plugin was struggling to work for me for conversions, so I am doing it via command line syntax to create the models. I could also share how to do that for others if there is interest. Here are a couple of other models that I think turned out well, too, taken from a plugin and from the G1X4 pedal from Zoom: G1X4_DZ_DRV.json G1X4_ORG120.json G1X4_NYC_Muff.json Marshall_Super_Lead_1959_Plexi_100W.json
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