Full Training Tutorial and Guide and Research For a FLUX Style
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Furkan Gözükara
MonsterMMORPG
AI & ML interests
Check out my youtube page SECourses for Stable Diffusion tutorials. They will help you tremendously in every topic
Recent Activity
reacted
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about 18 hours ago
Most Powerful Vision Model CogVLM 2 now works amazing on Windows with new Triton pre-compiled wheels - 19 Examples - Locally tested with 4-bit quantization - Second example is really wild - Can be used for image captioning or any image vision task
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : https://huggingface.co/THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
reacted
to
their
post
with 🤝
about 18 hours ago
Most Powerful Vision Model CogVLM 2 now works amazing on Windows with new Triton pre-compiled wheels - 19 Examples - Locally tested with 4-bit quantization - Second example is really wild - Can be used for image captioning or any image vision task
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : https://huggingface.co/THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
reacted
to
their
post
with 👍
about 18 hours ago
Most Powerful Vision Model CogVLM 2 now works amazing on Windows with new Triton pre-compiled wheels - 19 Examples - Locally tested with 4-bit quantization - Second example is really wild - Can be used for image captioning or any image vision task
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : https://huggingface.co/THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
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MonsterMMORPG's activity
reacted to
their
post with 🤯🤝👍🧠➕😎🤗❤️👀🚀🔥
about 18 hours ago
Post
408
Most Powerful Vision Model CogVLM 2 now works amazing on Windows with new Triton pre-compiled wheels - 19 Examples - Locally tested with 4-bit quantization - Second example is really wild - Can be used for image captioning or any image vision task
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
posted
an
update
about 18 hours ago
Post
408
Most Powerful Vision Model CogVLM 2 now works amazing on Windows with new Triton pre-compiled wheels - 19 Examples - Locally tested with 4-bit quantization - Second example is really wild - Can be used for image captioning or any image vision task
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
The APP and the installers : https://www.patreon.com/posts/120193330
Check below screenshots to see how to use it
Currently the APP works amazing with 4-bit quantization very fast
I am searching to lower VRAM usage even further with like adding CPU-Offloading and other stuff if possible
Previously we were lacking Triton but it now works perfect
My installer installs into a Python 3.10 VENV completely isolated and clean
You can see entire APP and installer source code
If you get Triton error make sure to delete your Triton cache after installing the app like below
C:\Users\Furkan.triton
Hugging Face repo with sample code : THUDM/cogvlm2-llama3-chat-19B
GitHub repo : https://github.com/THUDM/CogVLM2
Triton Windows : https://github.com/woct0rdho/triton-windows/releases
updated
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3 days ago
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#1 opened 12 months ago
by
MonsterMMORPG
replied to
their
post
5 days ago
woah, some of these demo images look actually gud... i kinda lost hope for image diffusers there for a minute, but this is impressive. the one with the leaves cought me offguard.
And on such smol GPUs now too? that is super cool!
yep i hope it gets better with newer updates