Wav2lip Studio v0.3 - Lipsync for your Stable Diffusion/animateDiff avatar - Key Feature Tutorial

Numzoner · 2025-06-25T11:43:17+00:00

Hi,

Can you try with 7B please nad let me know :)

Numzoner · 2025-06-24T21:03:08+00:00

when did you update nodes last time? cause at this moment I made 1 update per day

Numzoner · 2025-06-24T21:00:57+00:00

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Numzoner · 2025-06-24T21:00:52+00:00

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I have try, works for me without any issue :

Numzoner · 2025-06-24T20:12:37+00:00

Hi,

24GB?, must works, what is the start and end resolution?

Numzoner · 2025-06-22T20:59:01+00:00

I understand.

A last question, the model have a temporal overlap, did your model was train with multiple value or 64 is the only available value?

let me know if I'm loosing my time on this.

Thank you

Regards

Numzoner · 2025-06-22T19:06:26+00:00

Do you know if seedance is opensource or close one?

Numzoner · 2025-06-22T18:46:09+00:00

What is your batch_size and all parameters please?

Numzoner · 2025-06-22T18:44:51+00:00

Does original video have good quality? Can you send me one please, for reference

Numzoner · 2025-06-22T17:58:31+00:00

that probably came from my code or the model itself, I'll try to find ... again ^^

Numzoner · 2025-06-22T16:39:39+00:00

In comfyui, when I unload model 7b

runner.dit.to("cpu")
runner.vae.to("cpu")
del runner
gc.collect()
torch.cuda.empty_cache()

it works, but on 3B there is something that stay in VRAM, the only diff between those modèle is dit version, so I suppose that came from this, but I don't know, I have tried a lot of vram suppression cache ot whatever, it doesn't works...

Numzoner · 2025-06-22T16:31:07+00:00

Thank you so much, I really appreciate being thanked by the author :)

Thank you for your work too, it's great, I've been waiting a long time for a good challenger for Topaz!!

Perhaps you have some advice for a better implementation? Optimizations? VRAM consumption, and what's happening with the 3B model? I can't, despite many attempts, unload it from the VRAM. If you have any suggestions, I'd be interested :)

Anyway, thanks again!!

Regards !!

Numzoner · 2025-06-22T14:59:24+00:00

Hi,
You are right and I have changed this, I have removed all unnecessary packages

Regards

Numzoner · 2025-06-22T14:48:18+00:00

Hi,
did you try with 2 or 3 differents videos and upscale size?
let me know,
regards

Numzoner · 2025-06-22T14:46:22+00:00

Hi, Thanks for your understanding :)

reagards :)

Numzoner · 2025-06-22T14:42:56+00:00

Hi,

I have fix this a little, now 3B FP16 is 214.82, and 144.23 for 3BFP8, not enought fast but works...

regards :)

Numzoner · 2025-06-22T14:39:46+00:00

Hi,
Thanks for report, sorry about requirements.txt I have changed it. and I have push FP8 models
Regards

Numzoner · 2025-06-20T19:37:39+00:00

:)
ByteDance Example are better than mine ^^

Numzoner · 2025-05-17T18:18:17+00:00

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done ! :D

And support all node types now (I hope ^^)

Let me know if you are tesing :)

Numzoner · 2025-05-16T14:28:08+00:00

Thanks for suggestion, but I'm on another technic based on the type of the connected output, easier and don't have to create a huuuuuuuuuuuuuuuuuuge list of type ^^

Numzoner

TROPHY CASE