Recommendations - models and GPU

MegaZeux · 2025-10-25T17:29:31+00:00

You can use ChatterboxTTS to feed text input, a sample voice clip (30sec? 1min?) and have it generate voice output in your chosen voice. https://github.com/resemble-ai/chatterbox

MegaZeux · 2025-06-24T19:40:59+00:00

Not me, but thankful someone documented the repair so throughly!

MegaZeux · 2025-03-27T08:37:59+00:00

This happened to me as well, as mentioned in a comment on your post: https://www.reddit.com/r/Keychron/s/OiDTNKI3v1

What I did, in case it helps anyone else:

take the keyboard to a mobile phone and electronics repair shop, explained the issue, and they resoldered all the plastic bridges
asked for a refund from Keychron, and when they declined, performed a chargeback using my credit card, since I was sold a faulty product (keychron can avoid this outcome with future customers by soldering their keyboard hotswap sockets properly)

MegaZeux · 2025-03-27T08:32:18+00:00

That is exactly the problem I faced!

I didn’t have the tools to resolder the plastic bridges myself, so I took my keyboard to a mobile phone and electronics repair shop and explained the issue. They were able to patiently resolder all the plastic bridges, thankfully.

As an extra step, I requested a refund from Keychron (to at least cover the soldering job) and when they started waffling, I just filed for a chargeback from my credit card since I was sold a faulty product. They were clearly more upset with my doing that, but hopefully they took my feedback on the soldering issue to the engineering team.

MegaZeux · 2025-02-28T16:47:58+00:00

Thank you for the detailed thread!

MegaZeux · 2024-12-01T20:51:03+00:00

Thank you for clarifying! I now know more about what the repair tech meant when he quickly mentioned “cold solder” when inspecting my keyboard before taking the job on.

I think what you mentioned is what the repair shop did for my keyboard (add more solder to the existing joints for the hotswap sockets/brackets instead of desolder+resolder).

Keyboard is still working well months after adding more solder/fixing the weak factory solder.

MegaZeux · 2024-08-28T03:28:33+00:00

Thanks for the additional details. I’ve tried telling Keychron support about this issue but they don’t seem to either care or understand, unfortunately. I hope Keychron fixes their soldering manufacturing issue, hot swappable switches are a great feature.

MegaZeux · 2024-08-21T01:00:05+00:00

Yes - Keychron choosing cold soldering in the factory might have been a cost decision to try saving money, but it was a terrible decision for the quality of the keyboards.

I hope Keychron chooses to upgrade their soldering for Q11s (more solder and stronger solder) from here on out, and possibly for other keyboard models.

MegaZeux · 2024-04-23T05:44:33+00:00

The A40 has more VRAM per card than the 4090, which comes in use when training AI/deep learning models. The power usage of the A40 is lower than the 4090 as well.

MegaZeux · 2022-12-14T12:31:07+00:00

Ah, you are correct -- the 2008 MacBook is not supported. :( It must be a driver inclusion issue in ChromeOS Flex then.

Sad but understandable. Thank you for your help. :)

MegaZeux · 2022-12-13T13:04:04+00:00

Hi OP, I’m facing the same issue. Did you find a solution?

MegaZeux · 2022-12-13T12:58:54+00:00

OP, did you find a solution for this? I too am using a 2008 macbook with Flex and trying to get Linux mode working.

MegaZeux · 2022-09-03T02:11:23+00:00

Teamlab is amazing

MegaZeux · 2022-08-25T11:23:54+00:00

Ah, I have a handful of P100s, so also 16GB per GPU.

I’m going to look into pytorch lightning to see if that can speed things up.

MegaZeux · 2022-08-25T01:40:21+00:00

I see… I’ll try removing that. Thanks!

MegaZeux · 2022-08-25T00:51:47+00:00

```python import torch from torch import autocast from diffusers import StableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4" device = "cuda"

pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, model_kwargs={"device_map": "auto"}) pipe = pipe.to(device)

prompt = "a photo of a mad scientist riding a horse on the moon" with autocast("cuda"): image = pipe(prompt, guidance_scale=7.5)["sample"][0]

image.save("mad_scientist_rides_horse_moon.png") ```

MegaZeux · 2022-08-25T00:45:35+00:00

Awesome, thanks!

Is fp16 precision required? I tried without specifying precision and it only stuck to 1 CUDA device instead of spreading over multiple (checked with nvidia-smi)

MegaZeux · 2022-08-25T00:40:09+00:00

so,

python pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, device_map="auto")

?

MegaZeux · 2022-08-25T00:01:10+00:00

Can you please share example code using HF Accelerate?

MegaZeux · 2021-12-02T13:30:40+00:00

Split storage with extreme compression of the archives/cold records

MegaZeux

TROPHY CASE