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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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Textual Embeddings
Textual embeddings are learned text representations that encode specific concepts, styles, or objects into the CLIP text encoder's vocabulary. These tiny files (~10–100 KB) effectively add new "words" to your prompt vocabulary, letting you reference complex visual concepts — a particular art style, a specific character, or a set of undesirable artifacts — with a single token. Because they operate at the text-encoding level, embeddings integrate seamlessly with your existing prompts and require no changes to the model itself.
How It Works in ComfyUI
- Key nodes:
CLIPTextEncode— reference embeddings directly in your prompt text using the syntaxembedding:name_of_embedding - Typical workflow pattern: Place embedding files in
ComfyUI/models/embeddings/→ typeembedding:name_of_embeddinginside your positive or negative prompt in aCLIPTextEncodenode → connect to sampler as usual
Key Settings
- Prompt weighting: Embeddings have no dedicated strength slider, but you can adjust their influence with prompt weighting syntax, e.g.,
(embedding:name_of_embedding:1.2)to increase strength or(embedding:name_of_embedding:0.6)to soften it - Placement: Add embeddings to the negative prompt to suppress unwanted features, or to the positive prompt to invoke a learned concept
Tips
- Embeddings are commonly used in negative prompts (e.g.,
embedding:EasyNegative,embedding:bad-hands-5) to reduce common artifacts like malformed hands or distorted faces - Make sure the embedding matches your base model version — an SD 1.5 embedding will not work correctly with an SDXL checkpoint
- You can combine multiple embeddings with regular text in the same prompt for fine-grained control