mirror of https://github.com/Comfy-Org/ComfyUI_frontend.git synced 2026-04-20 14:30:41 +00:00

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dante01yoon bbd0a6b201 feat: migrate workflow template site as apps/hub

Migrate workflow_templates/site into the frontend monorepo as apps/hub
so the hub can use @comfyorg/design-system and shared packages.

Changes to existing files:
- pnpm-workspace.yaml: add @astrojs/sitemap, @astrojs/vercel, lucide-vue-next
- eslint.config.ts: add hub ignores and i18n/import rule overrides
- .oxlintrc.json: add hub scripts to ignore patterns
- knip.config.ts: add hub workspace config

apps/hub adaptations from source:
- Replace local cn() with @comfyorg/tailwind-utils (19 files)
- Integrate @comfyorg/design-system/css/base.css in global.css
- Make TEMPLATES_DIR configurable via HUB_TEMPLATES_DIR env var
- Add HUB_SKIP_SYNC flag for builds without template data
- Remove Vite 8-incompatible rollupOptions.output.manualChunks
- Fix stylelint violations (modern color notation, number precision)
- Gitignore generated content (thumbnails, synced templates, AI cache)

2026-04-06 20:53:13 +09:00

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HitPaw

HitPaw is an AI-powered visual enhancement platform providing image and video upscaling, restoration, and denoising through dedicated API services and desktop applications.

Model Variants

HitPaw Image Enhancer

AI-powered photo enhancement with super-resolution up to 8x
Face Clear Model: dual-model portrait upscaling (2x and 4x)
Face Natural Model: texture-preserving portrait enhancement
General Enhance Model: super-resolution for scenes and objects
High Fidelity Model: premium upscaling for DSLR and AIGC images
Generative Portrait/Enhance Models: diffusion-based restoration for heavily compressed images

HitPaw Video Enhancer (VikPea)

Frame-aware video restoration and ultra HD upscaling
Face Soft Model: face-optimized noise and blur reduction
Portrait Restore Model: multi-frame fusion for facial detail
General Restore Model: GAN-based restoration for broad scenarios
Ultra HD Model: premium upscaling from HD to ultra HD
Generative Model: diffusion-driven repair for low-resolution video

Key Features

One-click portrait and scene enhancement
Dual-model face and background processing pipelines
Batch processing and API access for automated workflows
Support for 30+ video input formats and 5 export formats
Multi-frame face restoration for temporal consistency in video
Denoising models for mobile and camera images

Hardware Requirements

Cloud API available (no local GPU required)
Desktop apps for Windows, Mac, Android, and iOS
API integration via HTTP-based interface

Common Use Cases

Upscaling AI-generated images to publication quality
Restoring old or low-resolution photos and videos
Enhancing portrait and landscape photography
Video quality improvement for content creators

Key Parameters

model: Select enhancement model per content type
scale: 2x or 4x super-resolution options
format: Output format selection (mp4, mov, mkv, m4v, avi for video)

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