Lovart Upgrade Delivers End-to-End AI Design Workflow with Skills & Vector Export

The author, a longtime Lovart user who creates covers, Xiaohongshu assets, and web designs, outlines four persistent pain points in their AI design workflow before the recent upgrade.

Pain Points in the Old Workflow

Inspiration collection : Saving a reference image from Xiaohongshu required six steps — right-click save, choose folder, switch back to Lovart, click upload, locate file, wait for upload. At 20 images a day, this friction added up.

Prompt repetition : The author follows a strict personal rule set for WeChat article headers (semantic extraction, metaphor finding, text-image composition, 21:9 aspect, series consistency). Every new chat meant rewriting the same prompt; by the eighth rewrite it became tedious.

Fragmented toolchain : A single topic rarely needs just one image — it needs a header, section illustrations, a Xiaohongshu set, sometimes a motion graphic and a slide deck. Previously this meant four to five different tools, with consistency left to chance.

Raster-only output : Generated logos and icons came as PNGs. For print or Figma work, the author had to find a separate vectorization website and round-trip the files.

Inspiration Collection Chrome Plugin: One-Click Asset Capture

The new Lovart plugin installs from the homepage's "灵感采集" (Inspiration Collection) button. It captures content from Xiaohongshu, Taobao, and Amazon. Hover over a liked asset, click once, and it appears directly on the Lovart canvas.

Step-count comparison :

Old flow: right-click save → choose folder → switch to Lovart → click upload → locate file → wait for upload (6 steps)

New flow: hover → click (2 steps)

Saving 4 steps per image × 20 images/day = 80 fewer clicks daily.

Professional Skills: Codifying Delivery Requirements

Skills are reusable workflow definitions that specify inputs, step sequence, human-in-the-loop checkpoints, required outputs, and mandatory redo conditions. Lovart now ships with 100 Skills across marketing assets, brand visuals, social content, product design, and creative styles.

The author argues that off-the-shelf Skills are less valuable than custom ones tailored to personal standards. They created and published three Skills:

WeChat Concept Poster Generator — Accepts a character, word, phrase, or short article. It extracts semantics, emotion, and metaphor, then produces a minimal, high-concept 21:9 poster where text and image form a complete visual sentence.

Wang Hong Handwritten Academic PPT Generator — Targets articles, speeches, and technical topics. Outputs a 16:9 Notability-style handwritten visual deck. This Skill was imported from a local file (compatible with Claude Code, Codex, and standard skill formats).

Panda Four-Panel Comic Skill — Rewrites viewpoints into conflict-driven, black-and-white four-panel comics in the "golden panda" emoji style. Useful for abstract concepts because conflict, misunderstanding, and reversal fit into a few frames. The author notes the model can output 4K images.

Creating a Skill is done via the top-right create button, either with the built-in Skill Creator or by importing a local skill file. Skills can be iteratively refined using the "Edit in Conversation" button during use. Invocation is simple: new project, type / in the bottom-left chat box to call the Skill.

One Idea, Multiple Design Artifacts

Real projects rarely deliver a single image. A theme often extends to key visual, poster series, social sets, motion, promo video, slide deck, and landing page. Lovart now supports single images, image sets, Motion, video, runnable HTML, and PPT — all inside one project.

The author highlights HTML support: the canvas runs the code directly, making iteration easy. Video editing includes a rough-cut mode — select a video on canvas, click edit, then trim, splice, delete, add captions, and style captions. While not a replacement for professional NLEs, it closes the loop for "produce a usable opener + add captions."

The highest-value pattern is "extension": once a brand key visual is approved, ask Lovart to extend it into Xiaohongshu sets, Motion loops, and a landing page, with consistency guaranteed by the shared project context.

One-Click Vector Conversion: PNG/JPG → SVG

Generative images are fast, but production handoff often requires vectors for logos, icons, print graphics, and brand elements. On the canvas, select a PNG/JPG, open the secondary image editing tools, click "Vectorize." Lovart analyzes contours and shapes, outputting a multi-path SVG as a new artifact on the canvas. The SVG downloads cleanly into Figma or Illustrator for further path, color, and size adjustments.

"Just Design" — Less AI Research, More Design Focus

The upgrade's theme, "Just Design," reflects a shift toward handling the "annoying small tasks" that collectively constitute a complete design workflow: gathering references, reading references, memorizing style, guarding character consistency, maintaining series coherence, preparing multiple deliverables, and handing off to downstream tools.

The author summarizes the new end-to-end flow: inspiration enters the creation workspace directly; mature methods become reusable Skills; a single idea grows into image sets, motion, video, web pages, and decks; final assets convert to SVG for Figma/Illustrator handoff.

Recommended user profiles:

WeChat authors extending one topic into header, section art, and social cards

Brand/marketing teams expanding a campaign concept into key visual, product shots, sets, motion, and landing page

Independent designers codifying personal methods, checklists, and style boundaries into private Skills

E-commerce teams using ready-made workflows for product images, listings, A+ pages, and platform sets

Presentation and knowledge creators turning long articles, speeches, and complex topics into layered visual decks