(Enter the relevant Nightclub Manager) ~ Manager: You've been playing the same act and song for 069 Minutes: That means you're nice! (Proceed to actual comment) I truly do hope that Suno will eventually become available in the form of a Free to Use local/domestic application, both it and Luma Dream Machine are pretty much the spiritual successors to OpenAI Jukebox and Stable Video Diffusion (Version 0I Revision 0I) in their own right and while I still don't know much about their hardware requirements for when the models do become Open Source (this is assuming that they have yet to; I'll need to do my research on if a Free model will become available that doesn't need a Membership), wishfully they function regardless of if one uses CUDA or ZLUDA, a problem that I have to worry about greatly at present as a Radeon VII user (Vega 020 is very limited with what it can do with CUDA~based AI software; even if ZLUDA enables CUDA Mode on certain software (such as Hit 'n Mix's RipX, used for Vocal and Instrumental Separation), the GPU might not be used if the Translation Layer isn't coded with Vega Era units in mind for the specific app). This being said, these Suno Mixes truly do establish the standard that OpenAI Jukebox had originally set out to deliver, music continuations with virtually no quality loss at the cost of changing to more natural instruments if it is rendering from a Chiptune piece and having a little more audible redundancy, what we have gotten from the handling of "Fire" (Lava Reef 0I) in this program is definitely what Generation Y viewers would render as "Hot Fire" and its overall sound truly is memorable enough to marathon a listen; if you put this set in a Nightclub with delicate splicing of every individual mix, the full amalgamation of the track alone will still total well over 063 Minutes, I can only imagine how DJs would interpret its impact if its performance is a success at multiple venues and having grown up in a family with DJs and composers who can make a series of tracks sound like the same one for many hours straight (my uncle, who we nickname Goose (often found in the scene under the Mixterfied moniker), has been in the industry since he was 09 and change back in I975; in the '80s and '90s, this type of mixing using delicate splicing and loopng of Vinyl units alone was an incredible feat for him in the Greater Boston area, he's only become more masterful over time) a resource such as Suno truly opens the door for optimizing those longer events, filler tracks will now become easier to work into the schedule with this and for many future events the setlists will become more seamless in how they get presented to the masses. (:
So suno is the new hotness?
Less unhinged, but easier to jam out to.
Ficou mítico demais!
Rola fazer algo assim com a Ice Cap Zone (ambos Acts 1 e 2) e a Doomsday Zone?
espera até ver as versões cantadas! (torcer pra esse video aqui não ter nenhum rolo, pq nunca fiz nada com suno né XD)
(Enter the relevant Nightclub Manager)
~ Manager: You've been playing the same act and song for 069 Minutes: That means you're nice!
(Proceed to actual comment)
I truly do hope that Suno will eventually become available in the form of a Free to Use local/domestic application, both it and Luma Dream Machine are pretty much the spiritual successors to OpenAI Jukebox and Stable Video Diffusion (Version 0I Revision 0I) in their own right and while I still don't know much about their hardware requirements for when the models do become Open Source (this is assuming that they have yet to; I'll need to do my research on if a Free model will become available that doesn't need a Membership), wishfully they function regardless of if one uses CUDA or ZLUDA, a problem that I have to worry about greatly at present as a Radeon VII user (Vega 020 is very limited with what it can do with CUDA~based AI software; even if ZLUDA enables CUDA Mode on certain software (such as Hit 'n Mix's RipX, used for Vocal and Instrumental Separation), the GPU might not be used if the Translation Layer isn't coded with Vega Era units in mind for the specific app).
This being said, these Suno Mixes truly do establish the standard that OpenAI Jukebox had originally set out to deliver, music continuations with virtually no quality loss at the cost of changing to more natural instruments if it is rendering from a Chiptune piece and having a little more audible redundancy, what we have gotten from the handling of "Fire" (Lava Reef 0I) in this program is definitely what Generation Y viewers would render as "Hot Fire" and its overall sound truly is memorable enough to marathon a listen; if you put this set in a Nightclub with delicate splicing of every individual mix, the full amalgamation of the track alone will still total well over 063 Minutes, I can only imagine how DJs would interpret its impact if its performance is a success at multiple venues and having grown up in a family with DJs and composers who can make a series of tracks sound like the same one for many hours straight (my uncle, who we nickname Goose (often found in the scene under the Mixterfied moniker), has been in the industry since he was 09 and change back in I975; in the '80s and '90s, this type of mixing using delicate splicing and loopng of Vinyl units alone was an incredible feat for him in the Greater Boston area, he's only become more masterful over time) a resource such as Suno truly opens the door for optimizing those longer events, filler tracks will now become easier to work into the schedule with this and for many future events the setlists will become more seamless in how they get presented to the masses. (: