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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

1.7 KiB

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NewBie

NewBie image Exp0.1 is a 3.5B parameter open-source text-to-image model built on the Next-DiT architecture, developed by the NewBie-AI community. It is specifically pretrained on high-quality anime data for detailed and visually striking anime-style image generation.

Model Variants

NewBie image Exp0.1

3.5B parameter DiT model based on Next-DiT architecture
Uses Gemma3-4B-it as primary text encoder with Jina CLIP v2 for pooled features
FLUX.1-dev 16-channel VAE for rich color rendering and fine texture detail
Supports natural language, tags, and XML structured prompts
Non-commercial community license (Newbie-NC-1.0) for model weights

Key Features

Exceptional anime and ACG (Anime, Comics, Games) style generation
XML structured prompting for improved attribute binding and element disentanglement
Strong multi-character scene generation with accurate attribute assignment
ComfyUI integration via dedicated custom nodes
LoRA training support with community trainer
Built on research from the Lumina architecture family

Hardware Requirements

Minimum: 12GB VRAM (bfloat16 or float16)
Recommended: 24GB VRAM for comfortable generation
Requires Gemma3-4B-it and Jina CLIP v2 text encoders
Python 3.10, PyTorch 2.6.0+, Transformers 4.57.1+

Common Use Cases

Anime and illustration generation
Character design with precise attribute control
Multi-character scene composition
Fan art and creative anime artwork

Key Parameters

num_inference_steps: 28 recommended
height/width: 1024x1024 native resolution
prompt_format: Natural language, tags, or XML structured
torch_dtype: bfloat16 recommended (float16 fallback)

1.7 KiB Raw Blame History