bbd0a6b201
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)
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Stable Diffusion is Stability AI's open-source image and video generation family. SDXL is the flagship text-to-image model (6.6B U-Net, dual CLIP encoders) generating 1024x1024 images with the largest ecosystem of LoRAs and community fine-tunes; it requires 8-12GB VRAM with Turbo/Lightning variants for 1-4 step generation. SD3.5 is the DiT-based successor with triple text encoders (including T5-XXL) in Large (8B, 16-24GB) and Medium (2B, 8-12GB) sizes, offering improved text rendering and compositional accuracy. SD1.5 remains popular for its massive ecosystem at just 4-6GB VRAM (512x512). SVD handles image-to-video generation (14 or 25 frames). Key parameters: 20-40 steps for SDXL, cfg_scale 5-10 (7 default), DPM++ 2M Karras sampler. Primary uses: photorealistic generation, artistic illustration, product photography, character generation, and LoRA-based custom training.