mirror of
https://github.com/Comfy-Org/ComfyUI_frontend.git
synced 2026-04-20 14:30:41 +00:00
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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BRIA AI
BRIA AI is an enterprise-focused visual generative AI platform that trains its models exclusively on licensed, ethically sourced data, ensuring commercially safe outputs with full IP indemnification.
Model Variants
BRIA Fibo
- Flagship hyper-controllable text-to-image model
- JSON-based control framework with 100+ disentangled visual attributes
- Supports lighting, depth, color, composition, and camera control
- Ideal for agentic workflows and enterprise-scale creative automation
BRIA Text-to-Image Lite
- Fully private, self-hosted deployment of the Fibo pipeline
- Designed for regulated industries requiring total data control
- Runs on-premises with no external data transfer
Key Features
- Trained on 100% licensed data from 20+ partners including Getty Images
- Full IP indemnification for commercial use
- Tri-layer content moderation for brand-safe outputs
- Patented attribution engine compensating data owners by usage
- ControlNet support for canny, depth, recoloring, and IP Adapter
- Multilingual prompt support
- Fine-tuning API for brand-specific customization
Hardware Requirements
- Cloud-hosted API available (no local GPU required)
- Self-hosted Lite version supports deployment on AWS and Azure
- Open-source weights available on Hugging Face for local inference
Common Use Cases
- Enterprise marketing and advertising content
- E-commerce product photography
- Brand-consistent visual asset generation
- Storyboarding and concept art for media production
Key Parameters
- prompt: Text description of desired image
- style: Photorealistic, illustrative, or custom styles
- guidance_methods: ControlNet canny, depth, recoloring, IP Adapter
- resolution: Multiple aspect ratios supported