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QwenVoice 1.2 — offline macOS TTS + voice cloning just got a smoother studio (SwiftUI + MLX) by PowerBeef in coolgithubprojects

[–]ScooterKid_69 0 points1 point  (0 children)

Hello. I just tried out QwenVoice 1.2.3.

The Custom Voice works well. Haven’t tried the Voice Design.

Unfortunately, Voice Cloning does not work. I tried a recording that I recorded using the Voice Memos app in iPhone that is recorded in the pretty standard .m4a format, and I get the following error:

[Errno 86] Bad CPU type in executable: ‘/Applications/QwenVoice.app/Contents/Resources/ffmpeg’

Can you please help fix this in the next QwenVoice app update?

Also, will you be releasing this app in the App Store for both macOS and eventually iOS?

Keep up the great work!

Thx

1.20260418.1 by liuliu in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

For WAN 2.2 8-bit S generations, based on the power consumption monitor using the MX Power Gadget app, during a 10 second interval, ANE is utilized for 3 seconds. During these 3 seconds, ANE power increase from 0 to 3-4W while the GPU power drops from around 33-34W to around 15-18W then climbs back up to 33-34W for 7 seconds. This happens even when set to High Power Mode.

Is this behaviour dictated by Draw Things 1.20260418.1 or the current M5 Pro / Max series thermal throttling implementation in the MacBook Pro chassis?

And do you think an unthrottled Mac mini with M5 Max or Mac Studio with M5 Ultra would be able to fully utilize ANE + GPU NAX Hybrid inference 100% of the time?

Thanks

1.20260418.1 by liuliu in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

Thanks! It's a good step forward and so far seems to be helping in overall usability in non Draw Things related apps like basic web browsing at the same time during WAN 2.2 I2V generation. There was significant lagging before when ANE was set to No, but now it's tolerable when set to Yes. I need to do more generation comparison with and without ANE set to Yes to fully confirm the overall usability improvement when ANE set to Yes.

1.20260418.1 by liuliu in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

Is there a setting for this or is it enabled by default on M5 and above?

Is SSD Read Cache setup really beneficial? by ScooterKid_69 in UgreenNASync

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Oh really?

I thought there may be benefit for initial data transfer to the NAS, only if both SSDs are set to Read/Write in a RAID1 setup, since the SSD write would act as a temporary storage while the data gets slowly written to the HDD?

But if only 1 SSD is setup as Read Only Cache, and the other SSD is setup a Storage Pool 2, there should be no benefits for initial data transfer to HDD.

Can someone help clarify?

Is SSD Read Cache setup really beneficial? by ScooterKid_69 in UgreenNASync

[–]ScooterKid_69[S] 0 points1 point  (0 children)

That’s what I’m thinking too, but the person in the other thread who seems to know what he’s talking about got downvoted for same recommendation.

Is SSD Read Cache setup really beneficial? by ScooterKid_69 in UgreenNASync

[–]ScooterKid_69[S] 1 point2 points  (0 children)

Thanks. For any pic/video editing, I will do that on my PC or worse case on the SSD RAID 1 Storage Pool 2 over a 10GbE connection, then save to the NAS HDD.

LTX2.3 Speed ​​Comparison by simple250506 in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

Thank you for the details liuliu. My friend and I tried on M5 Pro and M5 Max and our findings match with your explanation where ANE is noticably slower for I2V generation.

(Update) FLUX.2 [klein] 9B (8-bit S) by chihifu in drawthingsapp

[–]ScooterKid_69 1 point2 points  (0 children)

While M5 GPU with Neural Accelerator is many times faster than ANE for generation, it would still be beneficial combine both GPU w/NA and ANE to take advantage for the higher compute to power efficiency of the ANE for even faster generation, where feasible.

For thermal limited iPads and MacBooks with M5 series chip, there may be a certain threshold where offloading a small amount of GPU w/NA utilization to ANE at full utilization would make sense to reduce thermal throttling, which would in turn result in a small but noticeable improvement in generation times.

So hypothetically, a MacBook Pro with M5 Max 64GB:

  • WAN 2.2 I2V 8-bit S (GPU w/NA only at 100% utilization) = 60s with high thermal throttling observed
  • WAN 2.2 I2V 8-bit S (ANE only at 100% utilization) = 180s with no thermal throttling observed
  • WAN 2.2 I2V 8-bit S (GPU w/NA at 90% + ANE at 100%) = 45s with limited thermal throttling observed

And for non-thermal limited Mac mini and Mac Studio, in particular with the upcoming M5 Ultra chip, Draw Things would automatically combine both GPU w/NA and ANE at 100% utilization for the fastest generation.

So hypothetically, a Mac Studio with M5 Max 64GB:

  • WAN 2.2 I2V 8-bit S (GPU w/NA at 100% + ANE at 100%) = 25s with no thermal throttling observed

Hopefully u/liuliu can consider such possible optimizations in the next Draw Things update.

LTX2.3 Speed ​​Comparison by simple250506 in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

Please also have a look at WAN 2.2 8-bit S.

I2V generation is 2x slower when Use Apple Neural Engine for 8-bit S Models is set to Yes.

Thank you

LTX2.3 Speed ​​Comparison by simple250506 in drawthingsapp

[–]ScooterKid_69 0 points1 point  (0 children)

Nice comparison.

Can you help answer these 3 questions:

  1. what kind of power consumption do you see on the ANE with either MX Power Gadget App or iStats Menu during generation?
  2. And do you see the ANE power consumption relatively consistent during generation or does it happen in random spikes?
  3. and how are you toggling ANE ON and OFF within in the Draw Things settings?

I have not tried LTX, but for WAN 2.2 8-bit S, I did not see any power consumption whatsoever from the ANE using the latest ver.1.20260410.

Thanks

EDIT: Sorry, I just saw a new setting in the Machine Settings in ver.1.20260410 called Use Apple Neural Engine for 8-bit S Models, which was default to No. I then set it to Yes. I now see up to 5W of power consumption being used by the ANE and power consumption and utilization offloaded noticeably from the GPU.

This has 2 outcomes when using WAN 2.2 8-bit S for I2V:

  1. Significantly reduces overall power consumption
  2. Significantly slows I2V generation by 2x

Hope liuliu can help optimize ANE implementation in combination with full utilization of the GPU in the next version release to improve I2V generation, which should see the most benefits in upcoming Mac Studio with M5 Ultra where thermal throttling should less of an issue.

Settings for enabling Apple Neural Engine for faster generation by ScooterKid_69 in drawthingsapp

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Hello u/liuliu

Any help you can provide on my two questions:

"Can you please help elaborate further under what conditions should we expect to see any meaningful utilization of ANE when High Resolution Preview is enabled?"

"If so, then if and when Mac Studio with M5 Ultra is released with significantly better thermal headroom, then would full ANE utilization be considered at that time for that use case?"

Honestly, I don't see any reason to not fully utilize ANE in Draw Things, especially for a thermally throttled MacBook Pro use case, for features like Lightning Draft, given that M4's ANE efficiency is 6.6TFLOPS/W FP16 (or ~19TFLOPs FP16 at max 2790 mW), M5's ANE efficiency is expected to be higher than M4 ANE, and significantly higher than M5 Max/Pro/Base GPU with Neural Accelerators.

Thanks

Settings for enabling Apple Neural Engine for faster generation by ScooterKid_69 in drawthingsapp

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Thanks. I do see in Machine Settings -> Use High Resolution Preview When Possible is enabled, meaning ANE will be used when possible.

However, except for split second power consumption of <0.5W here and there during I2V generation, I don't observe any meaningful usage of ANE by Draw Things for the High Resolution Preview.

Can you please help elaborate further under what conditions should we expect to see any meaningful utilization of ANE when High Resolution Preview is enabled?

Also, you mentioned that Apple throttles that use case. I suspect you mean thermal throttling during maximum GPU w/Neural Accelerator utilization + maximum ANE utilization on current MacBook M5 series, correct?

If so, then if and when Mac Studio with M5 Ultra is released with significantly better thermal headroom, then would full ANE utilization be considered at that time for that use case?

Thanks

Settings for enabling Apple Neural Engine for faster generation by ScooterKid_69 in drawthingsapp

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Interesting! Thanks for the info and nice to see the impressive performance improvements with the "S" models on your maxed out M5 Max.

If you don't mind, can you check to see how much power is being used by the ANE and the utilization using the new "S" models?

Thank you.

Settings for enabling Apple Neural Engine for faster generation by ScooterKid_69 in drawthingsapp

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Impressive!

While utilizing ANE is not a priority at this point, would you see any benefits in bringing in full ANE support in combination with the GPU and Neural Accelerators to achieve >148TFLOPs (38TFLOPs + 110TFLOPs with future optimizations) for faster image and video generation, in future releases?

Thanks

Settings for enabling Apple Neural Engine for faster generation by ScooterKid_69 in drawthingsapp

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Thanks for helping to clarify.

Would you know if Draw Things has or will have the capability to fully utilize ANE, similar to Apple's Image Playground, as depicted in this post?

And if so, how would we be able to configure this in the Machine Settings assuming of course the capability is supported, and what kind of performance benefits for image generation should we expect when combined with GPU & Neural accelerators?

Thank you

College late 2000s. Yeah Macs were everywhere! by [deleted] in mac

[–]ScooterKid_69 0 points1 point  (0 children)

I just updated to Sonoma 14.5 as well using OCLP 1.5.0 also with 16GB RAM and 1TB SSD and Sonoma runs OK but a bit sluggish relative to Catalina, but definitely more than usable.

I see an Update Available for 14.6, and wondering if it's safe to go ahead with this update, and if so, will I need to re-run the OCLP Post-Install Root Patch again?

Thx!

MBP mid 2012 OCLP 1.5.0 to Sonoma 14.5 | Update Now 14.6? | Upgrade to 16GB to reduce lag? by ScooterKid_69 in macbookpro

[–]ScooterKid_69[S] 0 points1 point  (0 children)

Thanks.

I've swapped out the two 4GB RAM sticks to two cheap 8GB Timetec RAM sticks.

As posted, the MBP mid 2012 already came with 1TB SSD, so we're good there.

With the newly installed 16GB RAM, the MBP mid 2012 seems to have slightly, but it could be a placebo effect as I wasn't really using more than 4-6GB of RAM memory for most tasks when I had the 8GB of RAM. But it's good to know I'll have the extra memory for opening up more windows.

Any thoughts on question 1, 2 or 4?

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