TencentARC/GFPGAN
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import os import torch import RRDBNet_arch as arch pretrained_net = torch.load('./models/RRDB_ESRGAN_x4.pth') save_path = './models/RRDB_ESRGAN_x4.pth' crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32) crt_net = crt_mode) #536

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opened 2026-01-29 21:48:38 +00:00 by claunia · 2 comments
claunia commented 2026-01-29 21:48:38 +00:00
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Originally created by @sagarsingh12980-ai on GitHub (Aug 5, 2025).

IOP App – Step-by-Step Implementation Plan

Phase 1 – Planning & Setup

  1. Requirement Finalize

Saare features confirm karo (4K upscaling, volume control, editing, stickers, etc.).

Target platforms decide karo (Android, iOS).

  1. Tools & Accounts Setup

Install Flutter SDK + Android Studio / VS Code.

Node.js install karo.

Firebase console par project banao.

AdMob, AWS/GCP accounts ready rakho.

Phase 2 – UI/UX Design

  1. Prototype – Figma ya Adobe XD me screen designs banao:

Splash Screen

Login/Signup (Google, Email)

Home Screen (tools list)

Editor Screen (photo/video editing, stickers, text)

Audio Editor

4K Upscaling Screen

Gallery/Cloud Storage Screen

Settings & Subscription

  1. Theme – Light & dark mode define karo.

  2. Animations – Page transitions & button effects decide karo.

Phase 3 – Frontend Development (Flutter)

  1. Flutter project create karo:

flutter create iop_app

  1. Firebase integrate karo:

flutterfire configure

  1. Packages install karo:

firebase_auth, cloud_firestore, firebase_storage

image_editor_plus (photo editing)

flutter_ffmpeg (audio/video processing)

video_trimmer

google_mobile_ads (AdMob)

  1. UI implement karo (screens + navigation).

Phase 4 – Backend Development (Node.js + Firebase)

  1. Backend Folder Create

mkdir backend && cd backend
npm init -y
npm install express firebase-admin cors

  1. Firebase Admin SDK se backend ko connect karo.

  2. API endpoints banao:

/upscale – 4K conversion request AI server ko bhejna.

/edit-audio – FFmpeg se audio volume/noise edit karna.

/save-file – Edited media ko cloud storage me save karna.

Phase 5 – AI Engine Integration

  1. GPU server rent karo (AWS EC2 / Lambda Labs).

  2. ESRGAN install karo:

git clone https://github.com/xinntao/ESRGAN

  1. Flask API banao jo image/video input le aur upscale karke return kare.

  2. Flutter me AI API ko call karna integrate karo.

Phase 6 – Audio Editing (FFmpeg)

  1. Flutter me flutter_ffmpeg se volume control aur noise removal implement karo:

await FFmpegKit.execute('-i input.mp4 -af "volume=2.0" output.mp4');

  1. Audio trimming & merging ka option do.

Phase 7 – Database & Cloud Storage

  1. Firestore me collections banao:

users

projects (edit history)

media (file metadata)

  1. Firebase Storage me edited media store karo.

Phase 8 – Security

  1. OAuth 2.0 login setup karo (Google Sign-In).

  2. Files upload/download me AES-256 encryption lagao.

Phase 9 – Monetization

  1. Google AdMob integrate karo.

  2. Subscription plans create karo (e.g. ₹99/month for unlimited 4K upscaling).

  3. In-app purchase system add karo (Google Play Billing).

Phase 10 – Testing & Deployment

  1. Testing Tools:

Android Emulator + real devices.

Firebase Test Lab.

  1. Deployment:

Android → Play Store

iOS → App Store

⏳ Estimated Timeline

Phase Time

Planning + Design 1 week
Frontend Development 3 weeks
Backend + AI Setup 2 weeks
Audio Editing + Storage 1 week
Testing + Deployment 1 week
Total 8 weeks

Originally created by @sagarsingh12980-ai on GitHub (Aug 5, 2025). IOP App – Step-by-Step Implementation Plan Phase 1 – Planning & Setup 1. Requirement Finalize Saare features confirm karo (4K upscaling, volume control, editing, stickers, etc.). Target platforms decide karo (Android, iOS). 2. Tools & Accounts Setup Install Flutter SDK + Android Studio / VS Code. Node.js install karo. Firebase console par project banao. AdMob, AWS/GCP accounts ready rakho. --- Phase 2 – UI/UX Design 1. Prototype – Figma ya Adobe XD me screen designs banao: Splash Screen Login/Signup (Google, Email) Home Screen (tools list) Editor Screen (photo/video editing, stickers, text) Audio Editor 4K Upscaling Screen Gallery/Cloud Storage Screen Settings & Subscription 2. Theme – Light & dark mode define karo. 3. Animations – Page transitions & button effects decide karo. --- Phase 3 – Frontend Development (Flutter) 1. Flutter project create karo: flutter create iop_app 2. Firebase integrate karo: flutterfire configure 3. Packages install karo: firebase_auth, cloud_firestore, firebase_storage image_editor_plus (photo editing) flutter_ffmpeg (audio/video processing) video_trimmer google_mobile_ads (AdMob) 4. UI implement karo (screens + navigation). --- Phase 4 – Backend Development (Node.js + Firebase) 1. Backend Folder Create mkdir backend && cd backend npm init -y npm install express firebase-admin cors 2. Firebase Admin SDK se backend ko connect karo. 3. API endpoints banao: /upscale – 4K conversion request AI server ko bhejna. /edit-audio – FFmpeg se audio volume/noise edit karna. /save-file – Edited media ko cloud storage me save karna. --- Phase 5 – AI Engine Integration 1. GPU server rent karo (AWS EC2 / Lambda Labs). 2. ESRGAN install karo: git clone https://github.com/xinntao/ESRGAN 3. Flask API banao jo image/video input le aur upscale karke return kare. 4. Flutter me AI API ko call karna integrate karo. --- Phase 6 – Audio Editing (FFmpeg) 1. Flutter me flutter_ffmpeg se volume control aur noise removal implement karo: await FFmpegKit.execute('-i input.mp4 -af "volume=2.0" output.mp4'); 2. Audio trimming & merging ka option do. --- Phase 7 – Database & Cloud Storage 1. Firestore me collections banao: users projects (edit history) media (file metadata) 2. Firebase Storage me edited media store karo. --- Phase 8 – Security 1. OAuth 2.0 login setup karo (Google Sign-In). 2. Files upload/download me AES-256 encryption lagao. --- Phase 9 – Monetization 1. Google AdMob integrate karo. 2. Subscription plans create karo (e.g. ₹99/month for unlimited 4K upscaling). 3. In-app purchase system add karo (Google Play Billing). --- Phase 10 – Testing & Deployment 1. Testing Tools: Android Emulator + real devices. Firebase Test Lab. 2. Deployment: Android → Play Store iOS → App Store --- ⏳ Estimated Timeline Phase Time Planning + Design 1 week Frontend Development 3 weeks Backend + AI Setup 2 weeks Audio Editing + Storage 1 week Testing + Deployment 1 week Total 8 weeks
claunia commented 2026-01-29 21:48:38 +00:00
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@sagarsingh12980-ai commented on GitHub (Aug 5, 2025):

On top

@sagarsingh12980-ai commented on GitHub (Aug 5, 2025): On top
claunia commented 2026-01-29 21:48:39 +00:00
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@sagarsingh12980-ai commented on GitHub (Aug 5, 2025):

You can time 🤔
Off your 9

@sagarsingh12980-ai commented on GitHub (Aug 5, 2025): You can time 🤔 Off your 9
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Reference: TencentARC/GFPGAN#536
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