What about LlaVa may I use it in your gr app, is it available for batch i want to compare with gpt4
What about LlaVa may I use it in your gr app, is it available for batch i want to compare with gpt4 captions and train both
Fyes my app works
Fllava
Fare you patreon supporter?
MYes I am
Fgreat you can use it to tag images
CI'm following the voice cloning tutorial here:
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/Deep-Voice-Clone-Tutorial-Tortoise-TTS.md
It says to use Python 3.10.x but the Miniconda installer it links installs Python 3.11. Will Python 3.11 be compatible?
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/Deep-Voice-Clone-Tutorial-Tortoise-TTS.md
It says to use Python 3.10.x but the Miniconda installer it links installs Python 3.11. Will Python 3.11 be compatible?
Fhello it will probably not work. actually i am working on another level cloning
Fit is much easier faster and efficient
Fhopefully will be soon on channel first
F
CLooking forward to it. For now, the transcribing step with
ozen and whisper is working fine. Do you expect Tortoise TTS to fail or were you even expecting ozen to fail?Fwell give it a try
Fif all works great :d
CIt is failing on the
https://pastebin.com/ZJaLiHWT
Is there a way for me to fix this or force a 3.10.x miniconda install? Or should I just wait for your next video?
Start DLAS.cmd step, sadly:https://pastebin.com/ZJaLiHWT
Is there a way for me to fix this or force a 3.10.x miniconda install? Or should I just wait for your next video?
CAh. I forgot this step when you did it in the video:
Working now
Working now
CNow I'm getting this out of memory error. Any suggestions? Couldn't find anything about this in the tutorial. I already tried changing the setting sizes back to 128 / 128:
Freduce further
CThanks. 90/100 appears to be working
CI'm at 4000 iterations and still have
These are orders of magnitude lower than your demo but I'm guessing since the values are still going down so much it could still benefit from more training? I'm fine leaving it training all day or even 2 days if loss values keep going down. For background, I am training on a large and high quality sound data set with 5 hours of audio.
loss_text_ce values going down by 0.1 per every 800 iterations. I have loss_text_ce: 1.4474e+00, loss_mel_ce: 3.7375e-02, and loss_gpt_total: 5.1849e-02.These are orders of magnitude lower than your demo but I'm guessing since the values are still going down so much it could still benefit from more training? I'm fine leaving it training all day or even 2 days if loss values keep going down. For background, I am training on a large and high quality sound data set with 5 hours of audio.
Fwell not all values are meaningful
Fhopefully i will show with cocui training
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
Dwhen will you be uploading the froggy training Prof?
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
Fhopefully soon. i just finished pixart
Dyeh I installed that 
DYou got your haircut inbetween takes ? hehe
Fyes 
Fit took a week to make it
D
Dhttps://twitter.com/StelfieTT/status/1731378027970338946?s=20 what are your thoughts on this from a still image using pose........looks too good to be true
Fye i find it fake
Fwe will see
Fall woman used. it is like a fake ads haha
Fyou are a research team but your demo is all attractive woman. major redflag
DCI cut training at 5000 iterations. I'm getting this error when running your test command. Doesn't seem to be obviously related to my Python 3.11 installation, but I don't know for sure. Any idea what is going on?
Flooks like torch version related error
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=40)
DI really like your Pixart Gradio ui you built. Do you think it would be possible to include more possible styles and models?
DThe more intricate the txt prompt, the longer it takes to generate the images.
DIt would be great if you could add txt2vid for up to 240 frame vids. I'm probably dreaming though. I've tried txt2vid with ComfyUI and it's been a dismal failure. I need some good training on creating good prompts. My prompts aren't generating any desired results. I know you must've created a tutorial somewhere, so I will use Ctrl-F to find it on Git.
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=16)
Fye this is a hard task :d
BI have this exact same issue. I have the indicated version of torch installed
Should we be using a newer version of torch?
Should we be using a newer version of torch?
JJust to guess, probably need to be at 2.1? Lots of stuff seems to need > 2
Just looking at their github repo they do:
&& conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia \
So im assuming it just installs the latest
Just looking at their github repo they do:
&& conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia \
So im assuming it just installs the latest
BI just upgraded to 2.1.1 just in case and it appears to be running but the problem is that Tortoise itself requests 1.13.1 from requirements.txt:
Hashes collapsed for brevity
Hashes collapsed for brevity
DThanks for your guide on Pixart. Ran it on RunPod and tested it, and yes, it is way better than SD. Probably because of the better encoder and the higher image quality training. Are you going to try and do a Dreambooth training ?
I will look into https://github.com/PixArt-alpha/PixArt-alpha/blob/master/asset/docs/pixart-dreambooth.md and see if it is any good.
I will look into https://github.com/PixArt-alpha/PixArt-alpha/blob/master/asset/docs/pixart-dreambooth.md and see if it is any good.
GitHub
Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis - PixArt-alpha/PixArt-alpha
BUpdate: Torch 2.1.1 seems to be working, however it took some effort.
1) I was accessing my machine remotely via RPD. RDP doesn't use the GPU by default. You have to change registry settings to enable the GPU via RDP
2) once the GPU was actually active I had to force reinstall torch and its related packages and then check that Cuda was enabled with the following:
My CPU is much happier now.
1) I was accessing my machine remotely via RPD. RDP doesn't use the GPU by default. You have to change registry settings to enable the GPU via RDP
2) once the GPU was actually active I had to force reinstall torch and its related packages and then check that Cuda was enabled with the following:
python -c "import torch; print(torch.cuda.is_available())"My CPU is much happier now.
Fyes i am searching for it
CCan you tell me the command you used to upgrade to Torch 2.1.1? I'm not a regular Python user. The Github doc still only has this instruction and I'm not sure how to convert it and/or if I need to uninstall first
Afinally got around to installing kohya. Does it work for SD 1.5 models?
