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Trained Myself With 256 Images on FLUX — Results Mind Blowing
Trained Myself With 256 Images on FLUX — Results Mind Blowing
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Detailed Full Workflow
Detailed Full Workflow
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Medium article : 
Medium article : 
link
https://medium.com/@furkangozukara/ultimate-flux-lora-training-tutorial-windows-and-cloud-deployment-abb72f21cbf8
https://medium.com/@furkangozukara/ultimate-flux-lora-training-tutorial-windows-and-cloud-deployment-abb72f21cbf8
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Windows main tutorial : 
Windows main tutorial : 
link
https://youtu.be/nySGu12Y05k
https://youtu.be/nySGu12Y05k
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Cloud tutorial for GPU poor or scaling : 
Cloud tutorial for GPU poor or scaling : 
link
https://youtu.be/-uhL2nW7Ddw
https://youtu.be/-uhL2nW7Ddw
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Full detailed results and conclusions : 
Full detailed results and conclusions : 
link
https://www.patreon.com/posts/111891669
https://www.patreon.com/posts/111891669
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Full config files and details to train : 
Full config files and details to train : 
link
https://www.patreon.com/posts/110879657
https://www.patreon.com/posts/110879657
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SUPIR Upscaling (default settings are now perfect) : 
SUPIR Upscaling (default settings are now perfect) : 
link
https://youtu.be/OYxVEvDf284
https://youtu.be/OYxVEvDf284
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I used my Poco X6 Camera phone and solo taken images
I used my Poco X6 Camera phone and solo taken images
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My dataset is far from being ready, thus I have used so many repeating and almost same images, but this was rather experimental
My dataset is far from being ready, thus I have used so many repeating and almost same images, but this was rather experimental
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Hopefully I will continue taking more shots and improve dataset and reduce size in future
Hopefully I will continue taking more shots and improve dataset and reduce size in future
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I trained Clip-L and T5-XXL Text Encoders as well
I trained Clip-L and T5-XXL Text Encoders as well
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Since there was too much push from community that my workflow won’t work with expressions, I had to take a break from research and use whatever I have
Since there was too much push from community that my workflow won’t work with expressions, I had to take a break from research and use whatever I have
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I used my own researched workflow for training with Kohya GUI and also my own self developed SUPIR app batch upscaling with face upscaling and auto LLaVA captioning improvement
I used my own researched workflow for training with Kohya GUI and also my own self developed SUPIR app batch upscaling with face upscaling and auto LLaVA captioning improvement
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Download images to see them in full size, the last provided grid is 50% downscaled
Download images to see them in full size, the last provided grid is 50% downscaled
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Workflow
Workflow
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Gather a dataset that has expressions and perspectives that you like after training, this is crucial, whatever you add, it can generate perfect
Gather a dataset that has expressions and perspectives that you like after training, this is crucial, whatever you add, it can generate perfect
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Follow one of the LoRA training tutorials / guides
Follow one of the LoRA training tutorials / guides
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After training your LoRA, use your favorite UI to generate images
After training your LoRA, use your favorite UI to generate images
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I prefer SwarmUI and here used prompts (you can add specific expressions to prompts) including face inpainting : 
I prefer SwarmUI and here used prompts (you can add specific expressions to prompts) including face inpainting : 
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https://gist.github.com/FurkanGozukara/ce72861e52806c5ea4e8b9c7f4409672
https://gist.github.com/FurkanGozukara/ce72861e52806c5ea4e8b9c7f4409672
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After generating images, use SUPIR to upscale 2x with maximum resemblance
After generating images, use SUPIR to upscale 2x with maximum resemblance
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Short Conclusions
Short Conclusions
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Using 256 images certainly caused more overfitting than necessary
Using 256 images certainly caused more overfitting than necessary
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...
...
Trained Myself With 256 Images on FLUX — Results Mind Blowing

Detailed Full Workflow

Medium article : https://medium.com/@furkangozukara/ultimate-flux-lora-training-tutorial-windows-and-cloud-deployment-abb72f21cbf8

Windows main tutorial : https://youtu.be/nySGu12Y05k

Cloud tutorial for GPU poor or scaling : https://youtu.be/-uhL2nW7Ddw

Full detailed results and conclusions : https://www.patreon.com/posts/111891669

Full config files and details to train : https://www.patreon.com/posts/110879657

SUPIR Upscaling (default settings are now perfect) : https://youtu.be/OYxVEvDf284

I used my Poco X6 Camera phone and solo taken images

My dataset is far from being ready, thus I have used so many repeating and almost same images, but this was rather experimental

Hopefully I will continue taking more shots and improve dataset and reduce size in future

I trained Clip-L and T5-XXL Text Encoders as well

Since there was too much push from community that my workflow won’t work with expressions, I had to take a break from research and use whatever I have

I used my own researched workflow for training with Kohya GUI and also my own self developed SUPIR app batch upscaling with face upscaling and auto LLaVA captioning improvement

Download images to see them in full size, the last provided grid is 50% downscaled

Workflow

Gather a dataset that has expressions and perspectives that you like after training, this is crucial, whatever you add, it can generate perfect

Follow one of the LoRA training tutorials / guides

After training your LoRA, use your favorite UI to generate images

I prefer SwarmUI and here used prompts (you can add specific expressions to prompts) including face inpainting : 

https://gist.github.com/FurkanGozukara/ce72861e52806c5ea4e8b9c7f4409672

After generating images, use SUPIR to upscale 2x with maximum resemblance

Short Conclusions

Using 256 images certainly caused more overfitting than necessary

...
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