MonsterMMORPG/SECourses_Premium_Flash_Attention
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Furkan Gözükara PRO
MonsterMMORPG
AI & ML interests
Check out my youtube page SECourses for Stable Diffusion tutorials. They will help you tremendously in every topic
Recent Activity
updated
a model
about 5 hours ago
MonsterMMORPG/SECourses_Premium_Flash_Attention
reacted
to
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post
with 🤯
2 days ago
ComfyUI 1-click Installers updated for latest official Torch 2.7 with CUDA 12.8 (RTX 5000 series support + older GPUs) - Automatically installs xFormers, Flash Attention, Sage Attention, Triton, DeepSpeed, insightface, accelerate, onnxruntime-gpu for Windows
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
reacted
to
their
post
with 🤝
2 days ago
ComfyUI 1-click Installers updated for latest official Torch 2.7 with CUDA 12.8 (RTX 5000 series support + older GPUs) - Automatically installs xFormers, Flash Attention, Sage Attention, Triton, DeepSpeed, insightface, accelerate, onnxruntime-gpu for Windows
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
Organizations
MonsterMMORPG's activity
updated
a
model
about 5 hours ago
reacted to
their
post with 🤯🤝👍🧠➕😎🤗❤️👀🚀🔥
2 days ago
Post
3329
ComfyUI 1-click Installers updated for latest official Torch 2.7 with CUDA 12.8 (RTX 5000 series support + older GPUs) - Automatically installs xFormers, Flash Attention, Sage Attention, Triton, DeepSpeed, insightface, accelerate, onnxruntime-gpu for Windows
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
posted
an
update
2 days ago
Post
3329
ComfyUI 1-click Installers updated for latest official Torch 2.7 with CUDA 12.8 (RTX 5000 series support + older GPUs) - Automatically installs xFormers, Flash Attention, Sage Attention, Triton, DeepSpeed, insightface, accelerate, onnxruntime-gpu for Windows
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
1-click Installers zip file is here : https://www.patreon.com/posts/105023709
xFormers compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Flash Attention compiled by me for Windows (Python 3.10, 3.11 and 3.12) and Linux (Python 3.10 only)
Sage Attention compiled by me for Linux (Python 3.10 only)
insightface compiled by me for Windows (Python 3.10, 3.11 and 3.12)
Pre-compiled Triton + Sage Attention + DeepSpeed installed for Windows
You must have pre-installed Python on your system manually
Tutorial for Python + CUDA 12.8 installation : https://youtu.be/DrhUHnYfwC0
published
a
model
4 days ago
reacted to
their
post with 🤯🤝👍🧠➕😎
5 days ago
Post
2259
30 seconds hard test on FramePack - [0] a man talking , [5] a man crying , [10] a man smiling , [15] a man frowning , [20] a man sleepy , [25] a man going crazy - i think result is excellent when we consider how hard this test is - Generated with SECourses FramePack App V40
App link and 1-click installers for Windows, RunPod and Massed Compute here : https://www.patreon.com/posts/126855226
I got the prompt using idea from this pull request : https://github.com/lllyasviel/FramePack/pull/218/files
Not exactly same implementation but i think pretty accurate when considering that it is a 30 second 30 fps video at 840p resolution
App link and 1-click installers for Windows, RunPod and Massed Compute here : https://www.patreon.com/posts/126855226
I got the prompt using idea from this pull request : https://github.com/lllyasviel/FramePack/pull/218/files
Not exactly same implementation but i think pretty accurate when considering that it is a 30 second 30 fps video at 840p resolution