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https://github.com/Comfy-Org/ComfyUI_frontend.git
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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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3D Generation
3D generation creates three-dimensional models — meshes, point clouds, or multi-view images — from text or image inputs. This enables rapid prototyping of 3D assets without manual modeling. In ComfyUI, several approaches exist: image-to-3D (lifting a single photo into a mesh), text-to-3D (generating a 3D object from a description), and multi-view generation (producing consistent views of an object that can be reconstructed into 3D).
How It Works in ComfyUI
- Key nodes involved: Model-specific loaders (
TripoSR,InstantMesh,StableZero123),LoadImage,Save3D/Preview3D,CRMnodes - Typical workflow pattern: Load image → Load 3D model → Run inference → Preview 3D result → Export mesh
Key Settings
- Inference steps: Number of denoising/reconstruction steps. More steps generally improve quality but increase generation time.
- Elevation angle: Camera elevation for multi-view generation, controlling the vertical viewing angle of the generated views.
- Guidance scale: How closely the model follows the input image or text. Higher values increase fidelity to the input but may reduce diversity.
- Output format: Export format for the 3D mesh — OBJ, GLB, and PLY are common options, each suited to different downstream tools.
Tips
- Clean single-object images on white or simple backgrounds work best for image-to-3D conversion.
- Multi-view approaches (like Zero123) often produce better geometry than single-view methods.
- Post-process generated meshes in Blender for cleanup, retopology, or texturing before production use.
- Start with TripoSR for quick results — it generates meshes in seconds and is a good baseline to compare against other methods.