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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HiDream-I1

HiDream-I1 is a 17B parameter image generation foundation model by HiDream.ai that achieves state-of-the-art quality using a sparse diffusion transformer architecture.

Model Variants

HiDream-I1 Full

Full 17B parameter sparse diffusion transformer
Uses Llama-3.1-8B-Instruct and T5-XXL as text encoders
VAE from FLUX.1 Schnell, MIT license

HiDream-I1 Dev

Distilled variant, faster inference with minor quality tradeoff

HiDream-I1 Fast

Further distilled for maximum speed, best for rapid prototyping

HiDream-E1

Instruction-based image editing model

Key Features

State-of-the-art HPS v2.1 score (33.82), surpassing Flux.1-dev, DALL-E 3, and Midjourney V6
Best-in-class prompt following on GenEval (0.83) and DPG-Bench (85.89)
Multiple output styles: photorealistic, cartoon, artistic, and more
Dual text encoding with Llama-3.1-8B-Instruct and T5-XXL for strong prompt adherence
MIT license for commercial use
Requires Flash Attention for optimal performance

Hardware Requirements

Minimum: 24GB VRAM (Full model), Dev and Fast variants run on lower VRAM
Recommended: 40GB+ VRAM for Full model at high resolution
CUDA 12.4+ recommended for Flash Attention
Llama-3.1-8B-Instruct weights downloaded automatically

Common Use Cases

High-fidelity text-to-image generation
Photorealistic image creation
Artistic and stylized illustrations
Instruction-based image editing (E1 variant)
Commercial image generation

Key Parameters

model_type: Variant selection (full, dev, fast)
steps: Inference steps (varies by variant; fewer for fast/dev)
cfg_scale: Guidance scale for prompt adherence
resolution: Output image dimensions
prompt: Detailed text description of desired image

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