RVC-Project/Retrieval-based-Voice-Conversion-WebUI
1
0
Fork 0
mirror of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git synced 2026-11-05 00:27:30 +00:00
Code Issues 588 Projects Packages Wiki Activity

[GH-ISSUE #2587] Add Support for Nvidia Blackwell Architecture (RTX 5000 cards) #1844

New issue
Closed
opened 2026-10-20 10:12:35 +00:00 by bsakaguchi · 11 comments
bsakaguchi commented 2026-10-20 10:12:35 +00:00
Owner
Copy link

Originally created by @hunterczech on GitHub (May 27, 2025).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/2587

Hello,
Even with updated pytorch to 2.7.0 which features sm_120 support it still doesn't work meaning the app itself probably has to updated.

Originally created by @hunterczech on GitHub (May 27, 2025). Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/2587 Hello, Even with updated pytorch to 2.7.0 which features sm_120 support it still doesn't work meaning the app itself probably has to updated.
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@InKu0721 commented on GitHub (May 27, 2025):

I also encountered this situation, using 5070 for model training, pytorch installed 2.8.0.dev20250525+cu128, using cuda128, but still unable to train

<!-- gh-comment-id:2912522258 --> @InKu0721 commented on GitHub (May 27, 2025): I also encountered this situation, using 5070 for model training, pytorch installed 2.8.0.dev20250525+cu128, using cuda128, but still unable to train
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@dirtmonster1337 commented on GitHub (May 27, 2025):

okada figured it out, can we get an update here?

<!-- gh-comment-id:2913994028 --> @dirtmonster1337 commented on GitHub (May 27, 2025): okada figured it out, can we get an update here?
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@wxd11011 commented on GitHub (May 30, 2025):

Really looking forward to the upcoming update!

<!-- gh-comment-id:2921101720 --> @wxd11011 commented on GitHub (May 30, 2025): Really looking forward to the upcoming update!
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@BlankFX1 commented on GitHub (Jun 2, 2025):

While also still hoping for 5000 support getting implemented, I assume this project to be dead by now.
Which is really sad.

<!-- gh-comment-id:2929705453 --> @BlankFX1 commented on GitHub (Jun 2, 2025): While also still hoping for 5000 support getting implemented, I assume this project to be dead by now. Which is really sad.
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@yuanshangyujingshierlou commented on GitHub (Jun 4, 2025):

虽然我仍然希望能够实现 5000 个支持，但我认为这个项目现在已经夭折了。 这真是令人难过。

我5070ti更新了pytorch后就可以使用了

<!-- gh-comment-id:2937953017 --> @yuanshangyujingshierlou commented on GitHub (Jun 4, 2025): > 虽然我仍然希望能够实现 5000 个支持，但我认为这个项目现在已经夭折了。 这真是令人难过。 我5070ti更新了pytorch后就可以使用了
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@BlankFX1 commented on GitHub (Jun 4, 2025):

我5070ti更新了pytorch后就可以使用了
(translated:) My 5070ti works after updating pytorch!

Are you able to give us specific steps on how to do that correctly? A lot of us would be thankful.
翻译
您能告诉我们如何正确操作的具体步骤吗？我们很多人都会感激不尽。

// Edit:

Just re-running
pip install torch torchvision torchaudio
doesn't do the trick.

B:\RVC-beta>pip install torch torchvision torchaudio
Requirement already satisfied: torch in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128)
Requirement already satisfied: torchvision in t:\tools\python\python3.10.6\lib\site-packages (0.22.0+cu128)
Requirement already satisfied: torchaudio in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128)
Requirement already satisfied: filelock in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.13.1)
Requirement already satisfied: typing-extensions>=4.10.0 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (4.12.2)
Requirement already satisfied: sympy>=1.13.3 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (1.13.3)
Requirement already satisfied: networkx in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.3)
Requirement already satisfied: jinja2 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.1.4)
Requirement already satisfied: fsspec in t:\tools\python\python3.10.6\lib\site-packages (from torch) (2024.6.1)
Requirement already satisfied: numpy in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (10.0.1)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in t:\tools\python\python3.10.6\lib\site-packages (from sympy>=1.13.3->torch) (1.3.0)
Requirement already satisfied: MarkupSafe>=2.0 in t:\tools\python\python3.10.6\lib\site-packages (from jinja2->torch) (2.1.5)

B:\RVC-beta\runtime\lib\site-packages\torch\cuda\__init__.py:173: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

//Edit 2
After a few hours of manual debugging and a lot of outdated functions in this project, which are no longer supported by torch/torchvision itself, I had to give up.
Newer versions of torch are utilizing security functions and other modern approaches this project currently lacks of.
It is too outdated for me to migrate them all with my current level of knowledge.

I think it is safe to assume this project will never support RTX 5000.

(Which is sad as I managed to make it train two models with 200 Steps each in under 3 minutes on a 5090, but I wasn't able to fix the function to properly convert the trained weights to a proper and usable model - if that is the correct term for that process.)

<!-- gh-comment-id:2940414779 --> @BlankFX1 commented on GitHub (Jun 4, 2025): > 我5070ti更新了pytorch后就可以使用了 > (translated:) My 5070ti works after updating pytorch! Are you able to give us specific steps on how to do that correctly? A lot of us would be thankful. 翻译 您能告诉我们如何正确操作的具体步骤吗？我们很多人都会感激不尽。 // Edit: Just re-running pip install torch torchvision torchaudio doesn't do the trick. ``` B:\RVC-beta>pip install torch torchvision torchaudio Requirement already satisfied: torch in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128) Requirement already satisfied: torchvision in t:\tools\python\python3.10.6\lib\site-packages (0.22.0+cu128) Requirement already satisfied: torchaudio in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128) Requirement already satisfied: filelock in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.13.1) Requirement already satisfied: typing-extensions>=4.10.0 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (4.12.2) Requirement already satisfied: sympy>=1.13.3 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (1.13.3) Requirement already satisfied: networkx in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.3) Requirement already satisfied: jinja2 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.1.4) Requirement already satisfied: fsspec in t:\tools\python\python3.10.6\lib\site-packages (from torch) (2024.6.1) Requirement already satisfied: numpy in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (1.26.4) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (10.0.1) Requirement already satisfied: mpmath<1.4,>=1.1.0 in t:\tools\python\python3.10.6\lib\site-packages (from sympy>=1.13.3->torch) (1.3.0) Requirement already satisfied: MarkupSafe>=2.0 in t:\tools\python\python3.10.6\lib\site-packages (from jinja2->torch) (2.1.5) ``` ``` B:\RVC-beta\runtime\lib\site-packages\torch\cuda\__init__.py:173: UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37. If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ ``` //Edit 2 After a few hours of manual debugging and a lot of outdated functions in this project, which are no longer supported by torch/torchvision itself, I had to give up. Newer versions of torch are utilizing security functions and other modern approaches this project currently lacks of. It is too outdated for me to migrate them all with my current level of knowledge. I think it is safe to assume this project will never support RTX 5000. (Which is sad as I managed to make it train two models with 200 Steps each in under 3 minutes on a 5090, but I wasn't able to fix the function to properly convert the trained weights to a proper and usable model - if that is the correct term for that process.)
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@ct-jyjntc commented on GitHub (Jun 16, 2025):

我5070ti更新了pytorch后就可以使用了
(translated:) My 5070ti works after updating pytorch!

Are you able to give us specific steps on how to do that correctly? A lot of us would be thankful. 翻译 您能告诉我们如何正确操作的具体步骤吗？我们很多人都会感激不尽。

// Edit:

Just re-running pip install torch torchvision torchaudio doesn't do the trick.

B:\RVC-beta>pip install torch torchvision torchaudio
Requirement already satisfied: torch in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128)
Requirement already satisfied: torchvision in t:\tools\python\python3.10.6\lib\site-packages (0.22.0+cu128)
Requirement already satisfied: torchaudio in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128)
Requirement already satisfied: filelock in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.13.1)
Requirement already satisfied: typing-extensions>=4.10.0 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (4.12.2)
Requirement already satisfied: sympy>=1.13.3 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (1.13.3)
Requirement already satisfied: networkx in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.3)
Requirement already satisfied: jinja2 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.1.4)
Requirement already satisfied: fsspec in t:\tools\python\python3.10.6\lib\site-packages (from torch) (2024.6.1)
Requirement already satisfied: numpy in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (10.0.1)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in t:\tools\python\python3.10.6\lib\site-packages (from sympy>=1.13.3->torch) (1.3.0)
Requirement already satisfied: MarkupSafe>=2.0 in t:\tools\python\python3.10.6\lib\site-packages (from jinja2->torch) (2.1.5)

B:\RVC-beta\runtime\lib\site-packages\torch\cuda\__init__.py:173: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

//Edit 2 After a few hours of manual debugging and a lot of outdated functions in this project, which are no longer supported by torch/torchvision itself, I had to give up. Newer versions of torch are utilizing security functions and other modern approaches this project currently lacks of. It is too outdated for me to migrate them all with my current level of knowledge.

I think it is safe to assume this project will never support RTX 5000.

(Which is sad as I managed to make it train two models with 200 Steps each in under 3 minutes on a 5090, but I wasn't able to fix the function to properly convert the trained weights to a proper and usable model - if that is the correct term for that process.)

From what I know is that the nightly build of pytorch on CUDA 12.8 works with 50 series card as I've tested on flowframes, but for this project I tried installing it in a conda environment, which succeeded but wont work, as my card cant be detected in the infer web page, so I reckon they indeed won't be compatible for 50 series due to the deprecated functions I guess in the newest version of pytorch, unless a specific version of this repo is made just for the 50 series.

<!-- gh-comment-id:2977337975 --> @ct-jyjntc commented on GitHub (Jun 16, 2025): > > 我5070ti更新了pytorch后就可以使用了 > > (translated:) My 5070ti works after updating pytorch! > > Are you able to give us specific steps on how to do that correctly? A lot of us would be thankful. 翻译 您能告诉我们如何正确操作的具体步骤吗？我们很多人都会感激不尽。 > > // Edit: > > Just re-running pip install torch torchvision torchaudio doesn't do the trick. > > ``` > B:\RVC-beta>pip install torch torchvision torchaudio > Requirement already satisfied: torch in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128) > Requirement already satisfied: torchvision in t:\tools\python\python3.10.6\lib\site-packages (0.22.0+cu128) > Requirement already satisfied: torchaudio in t:\tools\python\python3.10.6\lib\site-packages (2.7.0+cu128) > Requirement already satisfied: filelock in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.13.1) > Requirement already satisfied: typing-extensions>=4.10.0 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (4.12.2) > Requirement already satisfied: sympy>=1.13.3 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (1.13.3) > Requirement already satisfied: networkx in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.3) > Requirement already satisfied: jinja2 in t:\tools\python\python3.10.6\lib\site-packages (from torch) (3.1.4) > Requirement already satisfied: fsspec in t:\tools\python\python3.10.6\lib\site-packages (from torch) (2024.6.1) > Requirement already satisfied: numpy in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (1.26.4) > Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in t:\tools\python\python3.10.6\lib\site-packages (from torchvision) (10.0.1) > Requirement already satisfied: mpmath<1.4,>=1.1.0 in t:\tools\python\python3.10.6\lib\site-packages (from sympy>=1.13.3->torch) (1.3.0) > Requirement already satisfied: MarkupSafe>=2.0 in t:\tools\python\python3.10.6\lib\site-packages (from jinja2->torch) (2.1.5) > ``` > > ``` > B:\RVC-beta\runtime\lib\site-packages\torch\cuda\__init__.py:173: UserWarning: > NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation. > The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37. > If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ > ``` > > //Edit 2 After a few hours of manual debugging and a lot of outdated functions in this project, which are no longer supported by torch/torchvision itself, I had to give up. Newer versions of torch are utilizing security functions and other modern approaches this project currently lacks of. It is too outdated for me to migrate them all with my current level of knowledge. > > I think it is safe to assume this project will never support RTX 5000. > > (Which is sad as I managed to make it train two models with 200 Steps each in under 3 minutes on a 5090, but I wasn't able to fix the function to properly convert the trained weights to a proper and usable model - if that is the correct term for that process.) From what I know is that the nightly build of pytorch on CUDA 12.8 works with 50 series card as I've tested on flowframes, but for this project I tried installing it in a conda environment, which succeeded but wont work, as my card cant be detected in the infer web page, so I reckon they indeed won't be compatible for 50 series due to the deprecated functions I guess in the newest version of pytorch, unless a specific version of this repo is made just for the 50 series.
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@wxd11011 commented on GitHub (Jun 27, 2025):

在RVC20240604Nvidia50x0的基础上，修改infer-web.py文件加入自己的显卡型号可修复这个问题。

<!-- gh-comment-id:3012844558 --> @wxd11011 commented on GitHub (Jun 27, 2025): 在RVC20240604Nvidia50x0的基础上，修改infer-web.py文件加入自己的显卡型号可修复这个问题。
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@NitrogenSulfide commented on GitHub (Jul 19, 2025):

I was able to get training to work but inferencing is a no go it seems. RTX 5090 here running on pytorch 2.7.0 cu=128

<!-- gh-comment-id:3091401764 --> @NitrogenSulfide commented on GitHub (Jul 19, 2025): I was able to get training to work but inferencing is a no go it seems. RTX 5090 here running on pytorch 2.7.0 cu=128
bsakaguchi commented 2026-10-20 10:12:36 +00:00
Author
Owner
Copy link

@Random-Person-RR commented on GitHub (Jul 27, 2025):

Use Applio, this project is not being maintained.

<!-- gh-comment-id:3124141185 --> @Random-Person-RR commented on GitHub (Jul 27, 2025): Use Applio, this project is not being maintained.
bsakaguchi commented 2026-10-20 10:12:37 +00:00
Author
Owner
Copy link

@RVC-Boss commented on GitHub (Jul 20, 2026):

You can update the code to the latest main branch, where this issue has already been resolved. The GPU detection logic has been fixed and is now working properly.

<!-- gh-comment-id:5019546024 --> @RVC-Boss commented on GitHub (Jul 20, 2026): You can update the code to the latest `main` branch, where this issue has already been resolved. The GPU detection logic has been fixed and is now working properly.
Sign in to join this conversation.
No Branch/Tag specified
Branches Tags
main
20240604
v1
2.3.260718
2.2.231006
2.1.230814
2.0.230618
2.0.230528
1.2.230428
1.1.230416
1.0.230410
Labels
Clear labels   
AMD/Intel

   
bug

   
bug

   
bug

   
colab

   
dependencies

   
documentation

   
duplicate

   
enhancement

   
following up

   
good first issue

   
help wanted

   
invalid

   
question

   
stale

   
stale

   
stale

   
todo list

   
wontfix
No labels
AMD/Intel
bug
bug
bug
colab
dependencies
documentation
duplicate
enhancement
following up
good first issue
help wanted
invalid
question
stale
stale
stale
todo list
wontfix
Milestone
Clear milestone
No items
No milestone
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
1 participant
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Dependencies

No dependencies set.

Reference
RVC-Project/Retrieval-based-Voice-Conversion-WebUI#1844
No description provided.