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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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Flux

Flux is a family of state-of-the-art text-to-image and image editing models developed by Black Forest Labs (BFL).

Model Variants

Flux.1 Schnell

Ultra-fast inference (1-4 steps)
12B parameter rectified flow transformer
Apache 2.0 license (open source)
Best for rapid prototyping and real-time applications

Flux.1 Dev

High-quality 12B parameter development model
20-50 steps for best results
Non-commercial license for research
Guidance-distilled for efficient generation

Flux.1 Pro

Highest quality Flux.1 outputs via commercial API
Best prompt adherence and detail

Flux.2 Dev

32B parameter rectified flow transformer
Unified text-to-image, single-reference editing, and multi-reference editing
No fine-tuning needed for character/object/style reference
Up to 4MP photorealistic output with improved autoencoder
Non-commercial license; quantized versions available for consumer GPUs

Flux.2 Klein

Fastest Flux model family — sub-second inference on modern hardware
Klein 4B: ~8GB VRAM, Apache 2.0 license, ideal for edge deployment
Klein 9B: Best quality-to-latency ratio, non-commercial license
Base (undistilled) variants available for fine-tuning and LoRA training
Supports text-to-image, single-reference editing, and multi-reference editing

Flux.1 Kontext

In-context image generation and editing via text instructions
Available as Kontext Max (premium), Pro (API), and Dev (open-weights, 12B)
Character consistency across multiple scenes without fine-tuning
Typography manipulation and local editing within images

Flux.1 Fill

Dedicated inpainting and outpainting model
Maintains consistency with surrounding image context
Available as Fill Pro (API) and Fill Dev (open-weights)

Flux Redux / Canny / Depth

Redux: Image variation generation from reference images
Canny: Edge-detection-based structural conditioning
Depth: Depth-map-based structural conditioning for pose/layout control

Key Features

Excellent text rendering in images
Strong prompt following and instruction adherence
High resolution output (up to 4MP with Flux.2)
Multi-reference editing: combine up to 6 reference images
Consistent style and quality across generations

Hardware Requirements

Flux.2 Klein 4B: ~8GB VRAM (consumer GPUs like RTX 4070)
Flux.2 Klein 9B: ~20GB VRAM
Flux.1 models: 12GB VRAM minimum (fp16), 24GB recommended
Flux.2 Dev: 64GB+ VRAM native, FP8 quantized ~40GB
Quantized and weight-streaming options available for lower VRAM cards

Common Use Cases

Text-to-image generation
Iterative image editing via text instructions
Character-consistent multi-scene generation
Inpainting and outpainting
Style transfer and image variation
Structural conditioning (canny, depth)

Key Parameters

steps: 1-4 (Schnell/Klein distilled), 20-50 (Dev/Base)
guidance_scale: 3.5-4.0 typical for Flux.2, 3.5 for Flux.1
resolution: Up to 2048x2048 (Flux.1), up to 4MP (Flux.2)
seed: For reproducible generation
prompt_upsampling: Optional LLM-based prompt enhancement (Flux.2)

Blog References

FLUX.2 Day-0 Support in ComfyUI — FLUX.2 with 4MP output, multi-reference consistency, professional text rendering
FLUX.2 [klein] 4B & 9B — Fastest Flux models, sub-second inference, unified generation and editing
The Complete AI Upscaling Handbook — Benchmarks for upscaling workflows

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