Become a sponsor to hako-mikan
hako-mikan
🚀 Research & Open-Source Development in Generative AI
I'm working on research and open-source development in the field of generative AI. Unlike many in this field, I am neither affiliated with a research institution nor employed by an IT company. I am undertaking this project entirely through self-study.
🌟 Your Support Matters
My research and development activities are entirely self-funded. The funds obtained will be used for:
🌍 Electricity bills, 💻 Graphics card expenses, 📚 Book purchases, 🎉 A treat for myself
💡 Innovation with SuperMerger
SuperMerger has been a game-changer in creating models for Stable Diffusion by simplifying the model merging process. Before the advent of SuperMerger, completing a merge model required manually performing a merging process that took several minutes, followed by testing the model. If it wasn't satisfactory, the process had to be repeated, potentially hundreds to thousands of times. SuperMerger simplified and automated this process, reducing what used to take days or weeks to just a single day. This has resulted in a diverse and high-quality range of merge models being introduced to Stable Diffusion.
I am also creating various other programs.
Featured work
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hako-mikan/sd-webui-regional-prompter
set prompt to divided region
Python 1,603 -
hako-mikan/sd-webui-supermerger
model merge extention for stable diffusion web ui
Python 758 -
hako-mikan/sd-webui-cd-tuner
Color/Detail control for Stable Diffusion web-ui
Python 207 -
hako-mikan/sd-webui-negpip
Extension for Stable Diffusion web-ui enables negative prompt in prompt
Python 207
$5 a month
SelectThanks for the coffee☕️ and sweets🍩.
Essential for coding.
$10 a month
SelectThanks for the electric bill⚡.
No Electricity, No Generation.
$50 a month
SelectThanks for the sushi🍣 or steak🥩.
I'm not foolish enough to eat sushi and steak at the same time.
$100 a month
SelectThanks for the fund for the GPU🖥️.
How come GPUs are so expensive?
$500 a month
SelectThanks for ☕🍩⚡🍣 🥩🖥
The arrival of the singularity is near.