Akihito Miyazaki PRO

Akjava

AI & ML interests

I'm developing a user-friendly, browser-based platform that allows users to connect various AI services like ChatGPT, Gemini, local LLMs, Hugging Face models, and more. Our goal is to empower users to build custom AI tools by seamlessly combining these services, similar to Langchain or ComfyUI.

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Posts 4

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18
Finaly I realesed mediapipe-face animation space.

Mediapipe 68-points Eyes-Closed and Mouth-Opened
Akjava/mediapipe-68-facial-guide-eyes-closed-mouth-opened

[Article]Results: Converted Guide Images(eyes-closed and mouth-opened) with Flux.1 schenll img2img/inpaint
https://huggingface.co/blog/Akjava/result-guide-image-eyes-mouth

All the other tools listed are designed to support Mediapipe Face Animation

https://huggingface.co/collections/Akjava/mediapipe-tools-672ffe8ee7b62763c31b70c7

https://huggingface.co/collections/Akjava/webp-3-frame-talking-animation-tools-672819ce4989f354cdbcc739
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464
hi All I just shared Spaces and Article.

This key feature is Mediapipe face landmarker
Apache Licensed and trained with own dataset.
Good licensed model who use Flux.1 schnell instead of Dev

[Spaces]
Mediapipe Face detect
Akjava/mediapipe-face-detect

Face crop and replace
Akjava/mediapipe-face-crop-and-replace

Mediapipe 68 landmark
Akjava/mediapipe-68-points-facial-landmark

Mediapipe 68 Face Mask
Akjava/mediapipe-68-points-facial-mask

[Articles]
Better img2img results with Flux.1 schnell by using ScaleUp or Sharpen or FillColor pre-processing
https://huggingface.co/blog/Akjava/img2img-pre-processing

datasets

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