Instructions to use silveroxides/FLUX.2-dev-fp8_scaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use silveroxides/FLUX.2-dev-fp8_scaled with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
fp8 scaled discussion
Great work!
I wanted to enquire about how you do fp8 scaled conversion and if you know fp8 matmul as well.
thank you
Great work!
I wanted to enquire about how you do fp8 scaled conversion and if you know fp8 matmul as well.
thank you
I currently use my own WIP module. Not everything works though.
ofc I know about fp8 matmul.
Does it make sense to download the int8 version if I have an RTX 4090, and will I get any performance boost?
Does it make sense to download the int8 version if I have an RTX 4090, and will I get any performance boost?
No it makes no sense at all haha. You have a 4000 series card. You want fp8 and if you want to ensure fast generation speed, use the --fast fp8_matmul launch argument in ComfyUI
Does it make sense to download the int8 version if I have an RTX 4090, and will I get any performance boost?
No it makes no sense at all haha. You have a 4000 series card. You want fp8 and if you want to ensure fast generation speed, use the
--fast fp8_matmullaunch argument in ComfyUI
there no fp8_matmul flag in comfyui
Does it make sense to download the int8 version if I have an RTX 4090, and will I get any performance boost?
No it makes no sense at all haha. You have a 4000 series card. You want fp8 and if you want to ensure fast generation speed, use the
--fast fp8_matmullaunch argument in ComfyUIthere no fp8_matmul flag in comfyui
it's --fast fp8_matrix_mult