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ajaysi 0b63ae7fc1 AI Researcher and Video Studio implementation complete

2026-01-05 15:49:51 +05:30

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ALwrity Video Studio: Implementation Plan

Purpose

Deliver a creator-friendly, platform-ready video studio that hides provider/model complexity, guides users to successful outputs, and stays transparent on cost. Reuse Image Studio patterns and shared preflight/subscription checks via main_video_generation.

Core principles

Provider/model abstraction: One interface; pluggable providers; auto-routing by use case, cost, SLA. No provider jargon in UI.
Preflight first: Auth, quota/tier gating, safety, and cost estimation before hitting any model.
Guided success: Templates, motion/audio presets, platform defaults, inline guardrails (duration/aspect/size) with surfaced costs.
Cost transparency: Per-run estimate + actual; show price drivers (resolution, duration, provider). Support “draft/standard/premium” quality ladders.
Governed delivery: Safe file serving, ownership checks, audit logs, usage telemetry.

Modules (user-facing scope)

Create Studio: t2v, i2v with templates, motion presets, aspect/duration defaults; audio opt-in (upload/TTS).
Avatar Studio: Talking avatars (short/long), face/character swap, dubbing/translation; voice optional.
Edit Studio: Trim/cut, speed, stabilize, background/sky replace, object/face swap, captions/subtitles, color grade.
Enhance Studio: Upscale (480p→4K), VSR, frame-rate boost, denoise/sharpen, temporal outpaint/extend.
Transform Studio: Format/codec/aspect conversion; video-to-video restyle; style transfer.
Social Optimizer: One-click platform packs (IG/TikTok/YouTube/LinkedIn/Twitter), safe zones, compression, thumbnail.
Asset Library: AI tagging, versions, usage, analytics, governed links.

Model catalog (pluggable; WaveSpeed-led but not locked)

Text-to-video (fast, coherent): wavespeed-ai/hunyuan-video-1.5/text-to-video — 5/8/10s, 480p/720p, ~$0.02–0.04/s [link].
Image-to-video (short clips): wavespeed-ai/kandinsky5-pro/image-to-video — 5s MP4, 512p/1024p, ~$0.20/0.60 per run [link].
Extend/outpaint: alibaba/wan-2.5/video-extend — extend clips with motion/audio continuity.
High-speed t2v/i2v: lightricks/ltx-2-pro/text-to-video, lightricks/ltx-2-fast/image-to-video, lightricks/ltx-2-retake — draft/retake flows with lower latency.
Character/face swap: wavespeed-ai/wan-2.1/mocha, wavespeed-ai/video-face-swap.
Video-to-video restyle/realism: wavespeed-ai/wan-2.1/ditto, wavespeed-ai/wan-2.1/synthetic-to-real-ditto, mirelo-ai/sfx-v1.5/video-to-video, decart/lucy-edit-pro.
Audio/foley/dubbing: wavespeed-ai/hunyuan-video-foley, wavespeed-ai/think-sound, heygen/video-translate.
Quality/post: wavespeed-ai/flashvsr (upscaler), wavespeed.ai/video-outpainter (temporal outpaint).
Future slots: Additional providers slotted via the same adapter interface (cost/SLA caps).

Provider-agnostic API note: each model sits behind a provider adapter implementing a common contract (generate/extend/enhance, capability flags, pricing metadata); routing is driven by policy + user intent (quality, speed, budget, platform target).

Backend implementation

Orchestrator: VideoStudioManager delegates to module services; main_video_generation entrypoint mirrors main_text_generation/main_image_generation.
Services: create_service, avatar_service, edit_service, enhance_service, transform_service, social_optimizer_service, asset_library_service.
Provider adapters: WaveSpeed, LTX, Alibaba, HeyGen, Decart, etc. registered via a provider registry with capability metadata (resolutions, duration caps, cost curves, latency class, safety profile).
Preflight middleware: auth → subscription/limits → capability guard (resolution/duration) → cost estimate → optional user confirm → enqueue job.
Jobs & storage: async job queue for long video runs; store artifacts in user-scoped buckets; signed URLs for delivery; CDN-friendly paths.
Tracking: usage + cost logging per op; surfaced to UI and billing; audit logs for asset access.
Safety: optional safety checker flags from providers; block/blur pipelines if required; PII guardrails for translations/face swap.

Frontend implementation

Layout reuse: VideoStudioLayout (glassy, motion presets) + dashboard cards showing status, ETA, and cost hints.
Guidance-first UI: platform templates, duration/aspect presets, motion presets, audio toggle; inline cost estimator tied to preflight.
Async UX: polling/websocket for job status, resumable downloads, progress with ETA based on provider latency class.
Editor widgets: timeline for trim/speed; face/region selection for swap; caption/dubbing panels; preview player with quality toggles.
Cost surfaces: draft/standard/premium toggle that maps to provider/model choices; show estimated $ and credit impact before submit.

Preflight & cost transparency

Inputs validated against tier caps (duration, resolution, monthly ops).
Cost estimate = provider pricing × duration/resolution × quality tier; show before submit.
Post-run actuals recorded; user sees “estimated vs actual” and remaining quota/credits.
Fallback ladder: prefer lowest-cost that meets spec; escalate to higher-quality if user selects premium.

Use cases (creator + platform)

Social short: 5–10s vertical t2v/i2v with audio; auto IG/TikTok/YouTube Shorts pack.
Product hero: i2v + subtle motion, then outpaint/extend to 15s, upscale to 1080p, add captions.
Avatar explainer: photo + audio → talking head; optional translation + captions for LinkedIn/YouTube.
Restyle/localize: video-to-video with style transfer + dubbing/translate; maintain duration/aspect per channel.
Upscale/repair: ingest UGC, denoise/sharpen, flashvsr upscale, safe-zone crops for ads.

Implementation roadmap (condensed)

Phase 1 (Foundation): main_video_generation, provider registry, Create Studio (t2v/i2v), preflight/cost, storage + signed URLs, basic dashboard + job status.
Phase 2 (Adapt & Enhance): Avatar Studio, Enhance (VSR, frame-rate), Transform (format/aspect), Social Optimizer, cost telemetry UI.
Phase 3 (Edit & Localize): Edit Studio (trim/speed/replace/swap), dubbing/translate, face/character swap, outpaint/extend, asset library v1 with analytics.
Phase 4 (Scale & Govern): Performance tuning, batch runs, org/policy controls, advanced analytics, provider failover testing.

Metrics (short)

Quality & success: generation success rate, CSAT on outputs.
Speed: P50/P90 job time by tier/provider; preflight-to-submit conversion.
Cost: estimate vs actual delta; cost per minute by tier; quota utilization.
Adoption: DAU/WAU using video modules; module mix (create/enhance/edit).

Risks & mitigations (short)

API/provider drift → contract tests + capability registry versioning.
Cost overruns → hard caps per tier, preflight estimates, auto-downgrade to draft.
Long-job failures → resumable jobs, chunked uploads, retry with backoff/failover provider.
Safety/abuse → safety flags, PII guardrails, per-tenant policy toggles, audit logs.

Next steps

Finalize provider adapter contracts and register the initial set (WaveSpeed, LTX, Alibaba, HeyGen).
Wire main_video_generation with shared preflight/subscription middleware.
Ship Create Studio with cost surfaces and platform templates; add Enhance (flashvsr) and Extend (wan-2.5) as first enrichers.
Document provider pricing metadata and map to draft/standard/premium tiers in UI.

Video Studio Modules

Module 1: Create Studio - Video Generation

Purpose: Generate videos from text prompts and images

Features:

Text-to-Video: Generate videos from text descriptions
Image-to-Video: Animate static images into dynamic videos
Multi-Provider Support: WaveSpeed WAN 2.5 (primary), HuggingFace (fallback)
Resolution Options: 480p, 720p, 1080p
Duration Control: 5 seconds, 10 seconds (extendable)
Aspect Ratios: 16:9, 9:16, 1:1, 4:5, 21:9
Audio Integration: Upload audio or text-to-speech
Motion Control: Subtle, Medium, Dynamic presets
Platform Templates: Instagram Reels, YouTube Shorts, TikTok, LinkedIn
Batch Generation: Generate multiple variations
Prompt Enhancement: AI-powered prompt optimization
Cost Preview: Real-time cost estimation

WaveSpeed Models:

alibaba/wan-2.5/text-to-video: Primary text-to-video generation
alibaba/wan-2.5/image-to-video: Image animation

User Interface:

┌─────────────────────────────────────────────────────────┐
│  CREATE STUDIO - VIDEO                                  │
├─────────────────────────────────────────────────────────┤
│  Generation Type: ⦿ Text-to-Video  ○ Image-to-Video    │
│                                                         │
│  Template: [Social Media Video ▼]                      │
│  Platform: [Instagram Reel ▼]  Size: [1080x1920]      │
│                                                         │
│  ┌─────────────────────────────────────────────────┐  │
│  │ Describe your video...                          │  │
│  │ "A modern coffee shop with customers enjoying   │  │
│  │  their morning coffee, warm lighting"           │  │
│  └─────────────────────────────────────────────────┘  │
│                                                         │
│  VIDEO SETTINGS:                                        │
│  Resolution: [720p ▼]  Duration: [10s ▼]             │
│  Aspect Ratio: [9:16 ▼]  Motion: [Medium ▼]          │
│                                                         │
│  AUDIO (Optional):                                      │
│  ⦿ Upload Audio  ○ Text-to-Speech  ○ Silent           │
│  [Upload MP3/WAV...] (3-30s, ≤15MB)                    │
│                                                         │
│  Provider: [Auto-Select ▼] (Recommended: WAN 2.5)    │
│                                                         │
│  Cost: ~$1.00  |  Time: ~15s  |  [Generate Video]     │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoCreateStudioService API Endpoint: POST /api/video-studio/create

Module 2: Avatar Studio - Talking Avatars

Purpose: Create talking/singing avatars from photos and audio

Features:

Photo Upload: Single image for avatar creation
Audio-Driven: Perfect lip-sync from audio input
Resolution Options: 480p, 720p
Duration: Up to 2 minutes (120 seconds)
Emotion Control: Neutral, Happy, Professional, Excited
Multi-Character: Support for dialogue scenes
Voice Cloning Integration: Use cloned voices
Multilingual: Support for multiple languages
Character Consistency: Preserve identity across scenes
Prompt Control: Optional style/expression prompts

WaveSpeed Models:

wavespeed-ai/hunyuan-avatar: Short-form avatars (up to 2 min)
wavespeed-ai/infinitetalk: Long-form avatars (up to 10 min)

User Interface:

┌─────────────────────────────────────────────────────────┐
│  AVATAR STUDIO                                          │
├─────────────────────────────────────────────────────────┤
│  Avatar Type: ⦿ Hunyuan (2 min)  ○ InfiniteTalk (10 min)│
│                                                         │
│  ┌─────────────┬─────────────────────────────────────┐ │
│  │  Photo      │  [Image Preview]                     │ │
│  │  Upload     │  1024x1024                           │ │
│  │  [Browse...]│                                      │ │
│  └─────────────┴─────────────────────────────────────┘ │
│                                                         │
│  ┌─────────────────────────────────────────────────┐  │
│  │  Audio Upload                                    │  │
│  │  [Upload MP3/WAV...] (max 10 min)               │  │
│  │  Duration: 0:00 / 2:00                          │  │
│  └─────────────────────────────────────────────────┘  │
│                                                         │
│  SETTINGS:                                              │
│  Resolution: [720p ▼]                                  │
│  Emotion: [Professional ▼]                             │
│  Expression Prompt: "Confident, friendly smile"         │
│                                                         │
│  Voice: [Use Voice Clone ▼] (Optional)                │
│                                                         │
│  Cost: ~$7.20 (2 min @ 720p)  |  [Create Avatar]      │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoAvatarStudioService API Endpoint: POST /api/video-studio/avatar/create

Module 3: Edit Studio - Video Editing

Purpose: AI-powered video editing and enhancement

Features:

Trim & Cut: Remove unwanted segments
Speed Control: Slow motion, fast forward
Stabilization: Fix shaky footage
Color Grading: AI-powered color correction
Background Replacement: Replace video backgrounds
Object Removal: Remove unwanted objects
Text Overlay: Add captions and titles
Transitions: Smooth scene transitions
Audio Enhancement: Improve audio quality
Noise Reduction: Remove background noise
Frame Interpolation: Smooth motion between frames

WaveSpeed Models:

Background replacement and object removal
Frame interpolation for smooth motion

User Interface:

┌─────────────────────────────────────────────────────────┐
│  EDIT STUDIO                                            │
├─────────────────────────────────────────────────────────┤
│  ┌────────────┬───────────────────────────────────────┐ │
│  │  Tools     │  [Video Timeline]                     │ │
│  │            │  [00:00 ────────●────────── 00:10]   │ │
│  │ ○ Trim     │                                       │ │
│  │ ○ Speed    │  [Video Preview]                      │ │
│  │ ○ Stabilize│                                       │ │
│  │ ○ Color    │  Selection: 00:02 - 00:08            │ │
│  │ ○ Background│                                      │ │
│  │ ○ Remove   │                                       │ │
│  │ ○ Text     │  [Apply Edit] [Reset] [Preview]      │ │
│  └────────────┴───────────────────────────────────────┘ │
│                                                         │
│  Edit Instructions: "Remove the watermark"            │
│  [Apply Edit]                                           │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoEditStudioService API Endpoint: POST /api/video-studio/edit/process

Module 4: Enhance Studio - Quality Enhancement

Purpose: Improve video quality and resolution

Features:

Upscaling: 480p → 720p → 1080p → 4K
Frame Rate Boost: 24fps → 30fps → 60fps
Noise Reduction: Remove compression artifacts
Sharpening: Enhance video clarity
HDR Enhancement: Improve dynamic range
Color Enhancement: Better color accuracy
Batch Processing: Enhance multiple videos

WaveSpeed Models:

Video upscaling capabilities
Frame interpolation for smooth motion

User Interface:

┌─────────────────────────────────────────────────────────┐
│  ENHANCE STUDIO                                         │
├─────────────────────────────────────────────────────────┤
│  Upload Video: [Browse...] or [Drag & Drop]            │
│                                                         │
│  Current: 480p @ 24fps → Target: 1080p @ 60fps         │
│                                                         │
│  Enhancement Options:                                    │
│  ☑ Upscale Resolution (480p → 1080p)                    │
│  ☑ Boost Frame Rate (24fps → 60fps)                    │
│  ☑ Reduce Noise                                         │
│  ☑ Enhance Sharpness                                    │
│  ☐ HDR Enhancement                                      │
│                                                         │
│  Quality Preset: [High Quality ▼]                      │
│                                                         │
│  [Preview] [Enhance Video]                             │
│                                                         │
│  ┌─────────────┬─────────────┐                         │
│  │  Original    │  Enhanced   │                         │
│  │  480p @ 24fps│  1080p @ 60fps│                       │
│  └─────────────┴─────────────┘                         │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoEnhanceStudioService API Endpoint: POST /api/video-studio/enhance

Module 5: Transform Studio - Format Conversion

Purpose: Convert videos between formats and styles

Features:

Format Conversion: MP4, MOV, WebM, GIF
Aspect Ratio Conversion: 16:9 ↔ 9:16 ↔ 1:1
Style Transfer: Apply artistic styles to videos
Speed Adjustment: Slow motion, time-lapse
Resolution Scaling: Scale up or down
Compression: Optimize file size
Batch Conversion: Convert multiple videos

User Interface:

┌─────────────────────────────────────────────────────────┐
│  TRANSFORM STUDIO                                       │
├─────────────────────────────────────────────────────────┤
│  Transform Type: ⦿ Format  ○ Aspect Ratio  ○ Style     │
│                                                         │
│  Source Video: [video.mp4] (1080x1920, 10s)            │
│                                                         │
│  OUTPUT FORMAT:                                         │
│  Format: [MP4 ▼]  Codec: [H.264 ▼]                    │
│  Quality: [High ▼]  Bitrate: [Auto ▼]                 │
│                                                         │
│  ASPECT RATIO:                                          │
│  ⦿ Keep Original  ○ Convert to [9:16 ▼]                │
│                                                         │
│  STYLE (Optional):                                      │
│  [None ▼]  [Cinematic ▼]  [Vintage ▼]                 │
│                                                         │
│  [Preview] [Transform Video]                           │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoTransformStudioService API Endpoint: POST /api/video-studio/transform

Purpose: Optimize videos for social media platforms

Features:

Platform Presets: Instagram, TikTok, YouTube, LinkedIn, Facebook
Aspect Ratio Optimization: Auto-crop for each platform
Duration Limits: Trim to platform requirements
File Size Optimization: Compress to meet limits
Thumbnail Generation: Auto-generate thumbnails
Caption Overlay: Add platform-specific captions
Batch Export: Export for multiple platforms
Safe Zones: Show text-safe areas

User Interface:

┌─────────────────────────────────────────────────────────┐
│  SOCIAL OPTIMIZER                                       │
├─────────────────────────────────────────────────────────┤
│  Source Video: [video_1080x1920.mp4] (10s)             │
│                                                         │
│  Select Platforms:                                      │
│  ☑ Instagram Reels (9:16, max 90s)                    │
│  ☑ TikTok (9:16, max 60s)                             │
│  ☑ YouTube Shorts (9:16, max 60s)                      │
│  ☑ LinkedIn Video (16:9, max 10min)                   │
│  ☐ Facebook (16:9 or 1:1)                              │
│  ☐ Twitter (16:9, max 2:20)                            │
│                                                         │
│  Optimization Options:                                  │
│  ☑ Auto-crop to platform ratio                        │
│  ☑ Generate thumbnails                                 │
│  ☑ Add captions overlay                                │
│  ☑ Compress for file size limits                      │
│                                                         │
│  [Generate All Formats]                                 │
│                                                         │
│  PREVIEW:                                               │
│  ┌─────┬─────┬─────┬─────┐                            │
│  │ IG  │ TT  │ YT  │ LI  │                            │
│  │9:16 │9:16 │9:16 │16:9 │                            │
│  └─────┴─────┴─────┴─────┘                            │
│                                                         │
│  [Download All] [Upload to Platforms]                 │
└─────────────────────────────────────────────────────────┘

Backend Service: VideoSocialOptimizerService API Endpoint: POST /api/video-studio/social/optimize

Module 7: Asset Library - Video Management

Purpose: Organize and manage video assets

Features:

Smart Organization: Auto-tagging with AI
Search & Discovery: Search by prompt, tags, duration
Collections: Organize videos into projects
Version History: Track edits and variations
Usage Tracking: See where videos are used
Sharing: Share collections with team
Analytics: View performance metrics
Export History: Track downloads

User Interface: Similar to Image Studio Asset Library

Backend Service: VideoAssetLibraryService API Endpoint: GET /api/video-studio/assets

Technical Architecture

Backend Structure

backend/
├── services/
│   ├── video_studio/
│   │   ├── __init__.py
│   │   ├── studio_manager.py          # Main orchestration
│   │   ├── create_service.py           # Video generation
│   │   ├── avatar_service.py           # Avatar creation
│   │   ├── edit_service.py             # Video editing
│   │   ├── enhance_service.py          # Quality enhancement
│   │   ├── transform_service.py        # Format conversion
│   │   ├── social_optimizer_service.py # Platform optimization
│   │   ├── asset_library_service.py    # Asset management
│   │   └── templates.py                # Video templates
│   │
│   ├── llm_providers/
│   │   ├── wavespeed_video_provider.py # WAN 2.5, Avatar models
│   │   └── wavespeed_client.py         # WaveSpeed API client
│   │
│   └── subscription/
│       └── video_studio_validator.py   # Cost & limit validation
│
├── routers/
│   └── video_studio.py                 # API endpoints
│
└── models/
    └── video_studio_models.py          # Pydantic models

Frontend Structure

frontend/src/
├── components/
│   └── VideoStudio/
│       ├── VideoStudioLayout.tsx       # Main layout (reuse ImageStudioLayout pattern)
│       ├── VideoStudioDashboard.tsx    # Module dashboard
│       ├── CreateStudio.tsx            # Video generation
│       ├── AvatarStudio.tsx            # Avatar creation
│       ├── EditStudio.tsx              # Video editing
│       ├── EnhanceStudio.tsx           # Quality enhancement
│       ├── TransformStudio.tsx         # Format conversion
│       ├── SocialOptimizer.tsx         # Platform optimization
│       ├── AssetLibrary.tsx            # Video management
│       ├── VideoPlayer.tsx             # Video preview component
│       ├── VideoTimeline.tsx           # Timeline editor
│       └── ui/                         # Shared UI components
│           ├── GlassyCard.tsx          # Reuse from Image Studio
│           ├── SectionHeader.tsx       # Reuse from Image Studio
│           └── StatusChip.tsx          # Reuse from Image Studio
│
├── hooks/
│   ├── useVideoStudio.ts               # Main hook
│   ├── useVideoGeneration.ts           # Generation hook
│   ├── useAvatarCreation.ts            # Avatar hook
│   └── useVideoEditing.ts              # Editing hook
│
└── utils/
    ├── videoOptimizer.ts                # Client-side optimization
    ├── platformSpecs.ts                 # Social media specs (reuse)
    └── costCalculator.ts                # Cost estimation (reuse)

API Endpoint Structure

Core Video Studio Endpoints

POST   /api/video-studio/create              # Generate video
POST   /api/video-studio/avatar/create        # Create avatar
POST   /api/video-studio/edit/process         # Edit video
POST   /api/video-studio/enhance              # Enhance quality
POST   /api/video-studio/transform            # Convert format
POST   /api/video-studio/social/optimize      # Optimize for platforms
GET    /api/video-studio/assets               # List videos
GET    /api/video-studio/assets/{id}          # Get video details
DELETE /api/video-studio/assets/{id}         # Delete video
POST   /api/video-studio/assets/search        # Search videos
GET    /api/video-studio/providers            # Get providers
GET    /api/video-studio/templates            # Get templates
POST   /api/video-studio/estimate-cost       # Estimate cost
GET    /api/video-studio/videos/{user_id}/{filename}  # Serve video file

WaveSpeed AI Models Integration

Primary Models

1. Alibaba WAN 2.5 Text-to-Video

Model: alibaba/wan-2.5/text-to-video
Capabilities:
- Generate videos from text prompts
- 480p/720p/1080p resolution
- Up to 10 seconds duration
- Synchronized audio/voiceover
- Automatic lip-sync
- Multilingual support
Pricing:
- 480p: $0.05/second
- 720p: $0.10/second
- 1080p: $0.15/second

2. Alibaba WAN 2.5 Image-to-Video

Model: alibaba/wan-2.5/image-to-video
Capabilities:
- Animate static images
- Same resolution/duration options as text-to-video
- Audio synchronization
Pricing: Same as text-to-video

3. Hunyuan Avatar

Model: wavespeed-ai/hunyuan-avatar
Capabilities:
- Talking avatars from image + audio
- 480p/720p resolution
- Up to 120 seconds (2 minutes)
- High-fidelity lip-sync
- Emotion control
Pricing:
- 480p: $0.15/5 seconds
- 720p: $0.30/5 seconds

4. InfiniteTalk

Model: wavespeed-ai/infinitetalk
Capabilities:
- Long-form avatar videos
- Up to 10 minutes duration
- 480p/720p resolution
- Precise lip synchronization
- Full-body coherence
Pricing:
- 480p: $0.15/5 seconds (capped at 600s)
- 720p: $0.30/5 seconds (capped at 600s)

Implementation Roadmap

Phase 1: Foundation ✅ COMPLETED

Status: Core infrastructure and Create Studio implemented

Completed Deliverables:

✅ Backend Architecture
- Modular router structure (backend/routers/video_studio/)
- Endpoint separation (create, avatar, enhance, models, serve, tasks, prompt)
- Unified video generation (main_video_generation.py)
- Preflight and subscription checks integrated
✅ WaveSpeed Client Refactoring
- Modular client structure (backend/services/wavespeed/)
- Separate generators (prompt, image, video, speech)
- Polling utilities with failure resilience
- Provider-agnostic design
✅ Create Studio - Text-to-Video
- Frontend UI with prompt input and settings
- Model selector (HunyuanVideo-1.5, LTX-2 Pro, Veo 3.1)
- Model education system with creator-focused descriptions
- Cost estimation and preflight validation
- Async generation with polling
- Video examples and asset library integration
✅ Create Studio - Image-to-Video
- Image upload and preview
- Unified generation through main_video_generation
- Same async polling mechanism
✅ Avatar Studio
- Hunyuan Avatar support (up to 2 min)
- InfiniteTalk support (up to 10 min)
- Photo + audio upload
- Expression prompt with enhancement
- Cost estimation per model
- Async generation with progress tracking
✅ Prompt Optimization
- WaveSpeed Prompt Optimizer integration
- "Enhance Instructions" button in all prompt inputs
- Video mode optimization for better results
- Tooltips explaining capabilities
✅ Infrastructure
- Video file storage and serving
- Asset library integration
- Task management with polling
- Error handling and recovery

Current Status: Phase 1 complete. Create Studio and Avatar Studio are functional.

Phase 2: Enhancement & Model Expansion 🚧 IN PROGRESS

Priority: HIGH
Next Steps: Complete enhancement features and add remaining models

Planned Deliverables:

⚠️ Enhance Studio (Partially Complete)
- ✅ Backend endpoint exists (/api/video-studio/enhance)
- ⚠️ Frontend UI implementation needed
- ⚠️ FlashVSR upscaling integration
- ⚠️ Frame rate boost
- ⚠️ Denoise/sharpen features
⚠️ Additional Text-to-Video Models
- ✅ HunyuanVideo-1.5 (implemented)
- ✅ LTX-2 Pro (implemented)
- ✅ Google Veo 3.1 (implemented)
- ⚠️ LTX-2 Fast (add for draft mode)
- ⚠️ LTX-2 Retake (add for regeneration)
⚠️ Image-to-Video Models
- ✅ WAN 2.5 (implemented via unified generation)
- ⚠️ Kandinsky 5 Pro (add as alternative)
- ⚠️ Video extend/outpaint (WAN 2.5 video-extend)
⚠️ Video Player Improvements
- ✅ Basic preview exists
- ⚠️ Advanced controls (playback speed, quality toggle)
- ⚠️ Side-by-side comparison
- ⚠️ Timeline scrubbing
⚠️ Batch Processing
- ⚠️ Multiple video generation
- ⚠️ Queue management
- ⚠️ Progress tracking for batches

Recommended Next Steps:

Complete Enhance Studio frontend UI
Integrate FlashVSR for upscaling
Add LTX-2 Fast and Retake models
Improve video player component

Phase 3: Editing & Transformation 🔜 PLANNED

Priority: MEDIUM
Timeline: After Phase 2 completion

Planned Deliverables:

⚠️ Edit Studio
- Trim/cut functionality
- Speed control (slow motion, fast forward)
- Stabilization
- Background replacement
- Object/face removal
- Text overlay and captions
- Color grading
⚠️ Transform Studio
- Format conversion (MP4, MOV, WebM, GIF)
- Aspect ratio conversion
- Style transfer (video-to-video)
- Compression optimization
⚠️ Social Optimizer
- Platform presets (Instagram, TikTok, YouTube, LinkedIn)
- Auto-crop for aspect ratios
- File size optimization
- Thumbnail generation
- Batch export for multiple platforms
⚠️ Asset Library Enhancement
- ✅ Basic asset library integration exists
- ⚠️ Advanced search and filtering
- ⚠️ Collections and projects
- ⚠️ Version history
- ⚠️ Usage analytics
- ⚠️ Sharing and collaboration

Models to Integrate:

wavespeed-ai/wan-2.1/mocha (face swap)
wavespeed-ai/wan-2.1/ditto (video-to-video restyle)
decart/lucy-edit-pro (advanced editing)
wavespeed-ai/flashvsr (upscaling)

Phase 4: Advanced Features & Polish 🔜 FUTURE

Priority: LOW
Timeline: After core modules complete

Planned Deliverables:

⚠️ Advanced Editing
- Timeline editor component
- Multi-track editing
- Advanced transitions
- Audio mixing
⚠️ Audio Features
- wavespeed-ai/hunyuan-video-foley (sound effects)
- wavespeed-ai/think-sound (audio generation)
- heygen/video-translate (dubbing/translation)
⚠️ Performance Optimization
- Caching strategies
- Batch processing optimization
- CDN integration
- Provider failover
⚠️ Analytics & Insights
- Usage dashboards
- Cost analytics
- Quality metrics
- User behavior tracking
⚠️ Collaboration Features
- Team workspaces
- Shared collections
- Commenting and feedback
- Approval workflows

Cost Management Strategy

Pre-Flight Validation

Check subscription tier before API call
Validate feature availability
Estimate and display costs upfront
Show remaining credits/limits
Suggest cost-effective alternatives

Cost Optimization Features

Smart Provider Selection: Choose most cost-effective option
Quality Tiers: Draft (cheap) → Standard → Premium (expensive)
Batch Discounts: Lower per-unit cost for bulk operations
Caching: Reuse similar generations
Compression: Optimize file sizes automatically

Pricing Transparency

Real-time cost display
Monthly budget tracking
Cost breakdown by operation
Historical cost analytics
Optimization recommendations

Implementation Status Summary

✅ Completed (Phase 1)

Backend Infrastructure: Modular router, unified video generation, preflight checks
WaveSpeed Client: Refactored into modular generators (prompt, image, video, speech)
Create Studio: Text-to-video and image-to-video with model selection
Avatar Studio: Hunyuan Avatar and InfiniteTalk support
Prompt Optimization: AI-powered prompt enhancement for all video modules
Polling System: Non-blocking, failure-resilient task management
Cost Estimation: Real-time cost calculation and preflight validation
Asset Integration: Video examples and asset library linking

🚧 In Progress (Phase 2)

Enhance Studio: Backend endpoint ready, frontend UI needed
Additional Models: LTX-2 Fast, Retake, Kandinsky 5 Pro
Video Player: Basic preview exists, advanced controls needed

🔜 Planned (Phase 3)

Edit Studio: Trim, speed, stabilization, background replacement
Transform Studio: Format conversion, aspect ratio, style transfer
Social Optimizer: Platform-specific optimization and batch export
Asset Library: Advanced search, collections, analytics

Next Steps & Recommendations

Immediate (Next 1-2 Weeks)

Complete Enhance Studio Frontend
- Build UI for upscaling, frame rate boost
- Integrate FlashVSR model (⚠️ Needs documentation)
- Add side-by-side comparison view
Add Remaining Text-to-Video Models
- LTX-2 Fast (for draft/quick iterations) - ⚠️ Needs documentation
- LTX-2 Retake (for regeneration workflows) - ⚠️ Needs documentation
- Update model selector with all options
Add Image-to-Video Alternative
- Kandinsky 5 Pro (alternative to WAN 2.5) - ⚠️ Needs documentation
Improve Video Player
- Add playback controls (play/pause, speed, quality)
- Implement timeline scrubbing
- Add download button

📋 See VIDEO_STUDIO_MODEL_DOCUMENTATION_NEEDED.md for detailed documentation requirements

Short-term (Weeks 3-6)

Image-to-Video Model Expansion
- Add Kandinsky 5 Pro as alternative to WAN 2.5
- Integrate video-extend (WAN 2.5) for temporal outpaint
Batch Processing
- Multiple video generation queue
- Progress tracking for batches
- Bulk download functionality
Enhancement Features
- Denoise and sharpen options
- HDR enhancement
- Color correction

Medium-term (Weeks 7-12)

Edit Studio Implementation
- Start with trim/cut and speed control
- Add stabilization
- Background replacement
- Object removal
Transform Studio
- Format conversion (MP4, MOV, WebM, GIF)
- Aspect ratio conversion
- Style transfer integration
Social Optimizer
- Platform presets and auto-crop
- Thumbnail generation
- Batch export functionality

Long-term (Weeks 13+)

Advanced Features
- Timeline editor
- Multi-track editing
- Audio mixing and foley
- Dubbing and translation
Performance & Scale
- Caching strategies
- CDN integration
- Provider failover
- Batch optimization
Analytics & Collaboration
- Usage dashboards
- Team workspaces
- Sharing and collaboration features

Technical Achievements

Code Quality Improvements

✅ Modular Architecture: Refactored monolithic files into organized modules
- Router: backend/routers/video_studio/ with endpoint separation
- Client: backend/services/wavespeed/ with generator pattern
✅ Reusability: Unified video generation (main_video_generation.py) used across modules
✅ Error Handling: Robust polling with transient error recovery
✅ Type Safety: Full TypeScript coverage in frontend

Key Features Delivered

✅ Multi-Model Support: 3 text-to-video models with education system
✅ Prompt Optimization: AI-powered enhancement for better results
✅ Cost Transparency: Real-time estimation and preflight validation
✅ Async Operations: Non-blocking generation with progress tracking
✅ Asset Integration: Seamless linking with content asset library

Conclusion

Phase 1 Complete: The Video Studio foundation is solid with Create Studio and Avatar Studio fully functional. The modular architecture and unified generation system provide a strong base for rapid expansion.

Next Focus: Complete Enhance Studio and add remaining models to provide users with comprehensive video creation capabilities before moving to editing and transformation features.

Last Updated: Current Session
Status: Phase 1 Complete | Phase 2 In Progress
Owner: ALwrity Product Team

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ALwrity Video Studio: Implementation Plan

Purpose

Core principles

Modules (user-facing scope)

Model catalog (pluggable; WaveSpeed-led but not locked)

Backend implementation

Frontend implementation

Preflight & cost transparency

Use cases (creator + platform)

Implementation roadmap (condensed)

Metrics (short)

Risks & mitigations (short)

Next steps

Video Studio Modules

Module 1: Create Studio - Video Generation

Module 2: Avatar Studio - Talking Avatars

Module 3: Edit Studio - Video Editing

Module 4: Enhance Studio - Quality Enhancement

Module 5: Transform Studio - Format Conversion

Module 6: Social Optimizer - Platform Optimization

Module 7: Asset Library - Video Management

Technical Architecture

Backend Structure

Frontend Structure

API Endpoint Structure

Core Video Studio Endpoints

WaveSpeed AI Models Integration

Primary Models

1. Alibaba WAN 2.5 Text-to-Video

2. Alibaba WAN 2.5 Image-to-Video

3. Hunyuan Avatar

4. InfiniteTalk

Implementation Roadmap

Phase 1: Foundation ✅ COMPLETED

Phase 2: Enhancement & Model Expansion 🚧 IN PROGRESS

Phase 3: Editing & Transformation 🔜 PLANNED

Phase 4: Advanced Features & Polish 🔜 FUTURE

Cost Management Strategy

Pre-Flight Validation

Cost Optimization Features

Pricing Transparency

Implementation Status Summary

✅ Completed (Phase 1)

🚧 In Progress (Phase 2)

🔜 Planned (Phase 3)

Next Steps & Recommendations

Immediate (Next 1-2 Weeks)

Short-term (Weeks 3-6)

Medium-term (Weeks 7-12)

Long-term (Weeks 13+)

Technical Achievements

Code Quality Improvements

Key Features Delivered

Conclusion

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