lllyasviel / lllyasviel/stable-diffusion-webui-forge

Adding Triton to Forge with CUDA 12.4 + Pytorch 2.4?

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Dominant language
Python
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Description

https://github.com/woct0rdho/triton-windows
https://www.reddit.com/r/StableDiffusion/comments/1g45n6n/comment/ls2vt3p/
Increases speed in ComfyUI already and in Forge(custom installed)
But using CUDA 12.4 + Pytorch 2.4 package doesn't even shows that triton is missing

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the linked triton-windows project and compare its CUDA 12.4 and PyTorch 2.4 requirements with Forge's current package behavior. Done would require a reproducible Forge integration in which Triton is available and its absence or compatibility is clearly handled.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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