Results: Converted Guide Images(eyes-closed and mouth-opened) with Flux.1 schenll img2img/inpaint
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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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Akjava/mediapipe-68-facial-guide-eyes-closed-mouth-opened
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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
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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532
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
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
Collections
1
spaces
26
pinned
Running
1
📈
CreateConsistentCharacterFacialAnimationWithImg2Img
doc of img2img good for creating consistent animation
pinned
Running
3
🐠
Mistral 7B Instruct v0.3 Matcha-TTS English
Enjoy TTS Chat
pinned
Running
1
🏃
Matcha TTS Japanese
Description of Matcha TTS Japanese
Running
2
🌖
Mediapipe 68 Guide-Image Eyes-Closed and Mouth-Opened
create closed-eye and mouth opened guide image
Running
on
Zero
4
📊
Flux.1 Schnell Mask Inpaint
Running
1
👀
Histgram Color Matching
scikit-image histgram color matching
models
4
datasets
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