Lovart

When designers are still troubled by “time-consuming creative disassembly, cumbersome switching between multiple tools, and low efficiency of batch drawing”, Lovart, the world’s first professional AI design Agent launched by LiblibAI, revolutionizes the traditional design process with the core breakthrough of “natural language interaction, full-link design, and high adaptability”. Lovart, the world’s first professional AI design agent launched by LiblibAI, revolutionizes the traditional design process with the core breakthrough of “natural language interaction + full-link design + high adaptability”. Whether the brand inputs “design environmentally friendly packaging for Duck Coffee” or the designer needs to generate 40 social media posters in batch, Lovart can think like a professional designer: from disassembling the requirements, generating structured Prompt, to calling multiple tools to complete the design, supporting secondary editing, and finally delivering the finished product that meets professional standards. The final delivery of the finished product in line with professional standards, so that “a sentence out of the design, zero basis for professional programs” has become a reality.

Core positioning: from “tool user” to “creative decision maker”, reshaping the design logic.

The key to differentiate Lovart from ordinary AI tools lies in its positioning as a “professional design agent” – not only can it generate images, but it can also replicate the workflow of professional designers, solving the core pain points in the design field through three core advantages:

(a) Full chain design: one sentence covers “creativity → disassembly → finished product → delivery”.

Traditional design needs to experience “demand communication → creative sketching → software production → modification and optimization” multiple links, and need to switch PS, AI, C4D and other tools, while Lovart through a single Agent to achieve the full process closed loop:

• Requirements analysis and Prompt disassembly: user input “design avant-garde and fashionable bags for Pupu brand, with reference to the latest design language of Balenciaga and Jaquemus”, Lovart will first disassemble the core of the requirements — brand: Pupu; category: Pupu; category: Pupu; category: Pupu; category: Pupu; category: Pupu. Brand: Pupu; Category: Bags; Style: Avant-garde; Reference: Balenciaga (deconstructivism), Jaquemus (minimalist lines), and then generate a structured Prompt that includes “Shape (irregular geometric), Material (matte leather), Color palette (low saturated grey + metallic embellishments), Proportion (2:3 vertically) Structured Prompts with “Shape (regular geometry), Material (matte leather), Color (low saturated grey + metallic accents), Scale (2:3 vertical)” are generated to ensure precise design direction;
• Multi-tool co-generation: Automatically invoke integrated GPT-4o (optimized design logic), Flux (high-quality image generation), Tripo (3D model rendering) and other tools. For example, when designing the Duck Coffee packaging, first use Flux to generate a 2D design of “bold patterns + eco-friendly tones”, then use Tripo to render the 3D design of the box and bag. For example, when designing Duck Coffee packaging, Flux was used to generate a 2D design with “bold patterns + eco-friendly tones,” and then Tripo was used to render 3D mockups of the box and bag, matching the brand color scheme of “earth tones + lavender;
• Batch Delivery and Format Ad aptation: Support for generating up to 40 finished images in a single pass and automatically adapting to different scenarios – 1:1/9:16 ratio for social media posters by default, and PNG (logo with transparent backing), PDF (printable packaging), and OBJ (3D model) for branded VI designs, eliminating the need for users to manually make adjustments. No manual adjustment is required. According to an e-commerce designer, it originally took 2 days to complete the “10 initial product packaging cases”, but Lovart generated 40 differentiated designs in just 1 hour, increasing the screening efficiency by 80%.

(B) Natural language interaction: adjusting the program like “communicating with designers”.

Lovart reduces the threshold of design interaction to the level of “daily conversation”, realizing refined adjustment without the need for professional terminology, and solving the pain point of “difficult for non-designers to change drawings”:

• Zero threshold for requirement input: no need to master professional knowledge of “layout composition”, “color model”, etc., just describe it in everyday language (e.g. “Design Billy’s pet food logo, inspired by curly-haired poodle, hand-drawn, graffiti style, retaining brush strokes). (e.g. “Design Billy’s pet food logo, inspired by a curly-haired poodle, hand-drawn, graffiti style, retaining the sense of brush strokes”), and AI will automatically translate it into design parameters;
• Real-time modification and flexibility: After generating the first draft, users can fine-tune the design through natural language – such as “replace the metal decoration of the bag with silver”, “make the pattern of the Duck Coffee packaging more bold ” “The poodle line of Billy logo is more rounded”, AI will accurately recognize the modification parts and needs, and update the design within 10-30 seconds without manually selecting layers or adjusting parameters;
• Accurate Response to Professional Needs: For users with professional needs, AI will support them to put forward technical requirements directly, such as “Include editable text layers”, “Generate 3D models of bags with 3 different angles”, and AI will strictly respond to them. “, AI will be strictly implemented to meet the subsequent secondary editing needs.

(III) Design consistency guarantee: “style anchor” for brand VI and series design

In brand design, “split styles of different materials” is a high-frequency problem, and Lovart ensures the consistency of the design of the whole category through “demand dismantling + parameter locking”:

• Brand element locking: When designing the VI of Billy pet food, users only need to input “core element: curly-haired poodle line drawing, style: hand-painted graffiti, color scheme: bright yellow + light blue, font: rounded handwriting” once, and when generating posters, packages, and labels in the following years, the AI will automatically reuse these elements, avoiding the logo from being distorted, color scheme deviation;
• Reference style continuation: If users are satisfied with a certain design (e.g. “Duck Coffee packaging with lavender accents”), they can instruct “follow this lavender color in all subsequent designs”, and Lovart will deposit the color (#C8B6FF) into the brand color library and apply it to the 3D model. Lovart will store the color (#C8B6FF) in the brand’s color library and apply it to 3D models, store renderings and other materials;
• Industry Standard Adaptation: Automatically match the design specifications of different categories – food packaging defaults to “printable color gamut (CMYK)”, logo design includes “minimum size (5cm), prohibited colors (high saturated red)” and other VI design specifications. VI basics such as “minimum usable size (5cm) and prohibited colors (high saturated red)” reduce professional review and rework. The founder of a startup brand used Lovart to design the VI for Billy’s pet food, and the style consistency from logo to packaging and posters reached 95%, far exceeding the 60% of manual design.

Function Matrix: Build Designer’s Exclusive Toolset Around “Professional Design Process”

Lovart’s functional design closely follows the professional design cycle of “demand input – idea generation – editing and optimization – delivery and application”, and each module has been tested and verified to be 100% consistent with the official description:

(i) Core design functions: professional-level creative capabilities are fully covered.

• Full-link design engine:
  • Creative disassembly: supports 10+ design categories such as brand VI, packaging, posters, 3D models, etc. After inputting the requirements, it automatically generates a structured Prompt containing “style, elements, color scheme, scale, format”, and you can view and adjust the details of the Prompt;
  • Multi-tool integration: Deep integration of GPT-4o (logic optimization), Flux (image generation), Tripo (3D rendering), Remove.bg (keying), and other tools, intelligently matching according to the type of design – Flux is preferred for 2D designs, and Tripo is called for 3D requirements to ensure the quality of output;
  • Batch generation: 1-40 sheets can be generated at a time, supporting “different variants of the same style” (e.g. 10 bag designs, only adjusting the details) or “comparison of different styles” (e.g. 5 Billy logo styles), to meet the needs of the initial case screening;
• Secondary editing toolbox:
  • Basic editing: supports zoom in (lossless HD), enlargement (intelligently expanding the edges of the picture), keying (hairline precision), elimination (removing redundant elements, e.g., “removing the logo on the bag”), and repair (optimizing blurred areas);
  • Advanced Adjustment: Provide smear blur (local vignetting), color fine-tuning (e.g., “Reduce the background color saturation by 20%”), text editing (if the editable text layer is included in the generation, the text content and font can be modified);
  • Format Conversion: Support exporting designs to PNG (transparent/opaque background), JPG (different compression ratios), PDF (printable), OBJ (3D models), SVG (vector logos) to suit different usage scenarios;
• Video generation and editing:
  • Dynamic extension: Generate static designs into videos – such as brand logo rotating display, package unfolding animation, 3D model multi-angle demonstration, support adding background music (default matching style, such as electronic music for fashion category, and light melody for pet category) and voiceover (optional male/female voice, broadcasting brand information);
  • Editing optimization: support simple editing operations, such as “shorten the length of the packaging animation to 15 seconds” and “add a brand slogan at the end of the video”, the default output format is MP4, adapted to Jittery Voice, video number and other platforms.

(ii) Auxiliary Functions: Enhance Design Efficiency and Creative Quality

• Guidance on the use of skills:
  • English Prompt Optimization: Official tests show that describing the requirements in English (e.g. “Avant-garde bag for Pupu, referencing Balenciaga’s deconstruction and Jaquemus’ minimal lines “) can get more accurate design results, the system will prompt “English prompts are recommended to optimize the results” and provide automatic translation function;
  • Requirements pre-communication: support “discuss requirements” with AI before generation, for example, input “I want to design an eco-friendly wind coffee packaging, help me sort out the key requirements”, AI will output a package containing “brand tone, target group, The AI will output a list of requirements including “brand tone, target group, usage scenarios, and reference cases” to help the user clarify the direction before generating the design;
• Official examples and inspiration library:
  • Case references: Provide official examples of packaging design (Pupu bag, Duck Coffee), brand VI (Billy pet food), poster design, etc., showing the complete description of the requirements and the final effect, and users can directly reuse the Prompt structure (e.g., replacing the brand name and category);
  • Style templates: built-in 20+ style templates such as “Deconstructivism”, “Minimalist Lines”, “Hand-drawn Graffiti”, “Bold Patterns”, etc., which can be applied by clicking on them. + Style templates, click-to-apply, for quick starts when creativity is low;
• Format & Compatibility:
  • Seamless import and export: support importing designs into traditional design software such as PS, AI (retaining the layer structure, if editable text layers are included in the generation), or directly exporting to Figma (synchronized through plug-ins), which is convenient for subsequent fine-tuning;
  • 3D Model Adaptation: The generated 3D mockups (e.g. Duck Coffee box) can be exported to OBJ/STL format, which can be used for C4D rendering or printing prototypes to meet the needs of physical production.

(iii) Enterprise-level adaptation: for team collaboration and brand standardization

Lovart provides exclusive functions for enterprise users to solve the problem of “inconsistent team design style and difficult asset management”:

• Brand Asset Library: Support enterprises to upload brand color cards, logos, fonts and other assets, which will be automatically called up when generating designs (e.g. Duck Coffee’s “Earth + Mauve” color library), to ensure that all materials comply with VI specifications;
• Permission management: Team administrators can set permissions such as “Designer (can generate/modify design)”, “Reviewer (view/filter only)” and “Ordinary member (demand only)” to avoid unauthorized modification. Avoid unauthorized modification;
• Version control: automatically save all design versions, marked with “modification time + modification content” (e.g. “2025-10-01 14:30 change the color of the bag to gray + silver”), easy to trace back and compare.

Third, the use of the process: four steps to complete the professional design, zero basis can also get started!

Lovart’s operation process is as simple as “enter requirements → generate design → fine-tune → export”, the official steps are as follows (verified with the official website description is completely consistent):

(a) First step: register and login, enter the design interface

1. Visit the official website: open the official website of Lovart ( https://www.lovart.ai/), support email registration or quick login through LiblibAI account (you need to get the invitation code, which you can get for free through the official website mutual aid activities);
2. New design task: After login, click “Create Design” button, select the design category (e.g. “Packaging”, “Branding”, “Social Media”, “Social Media”, etc.). ” “Social Media (Social Media)”), enter the core design interface.

(ii) Step 2: Enter Requirements and Optimize Prompt (Key Step)

1. Describe the requirement: In the input box, use natural language to describe the design requirement in detail, which is recommended to include “brand name, category, style, reference case, quantity, format”. For example: “Design eco-friendly packaging for Duck Coffee, including 3D models of boxes and bags, 6 images (3 boxes and 3 bags), bold patterns, earthy colors + mauve, refer to Starbucks Eco Series”;
2. Optimization tips (optional):
   • English Prompt Optimization: If user inputs Chinese, the system will prompt “English is recommended for the best experience”, you can click “Translate to English” to convert automatically, or manually input the English Prompt (as in the official example). Eye-catching packaging for a coffee brand – Duck Coffee…”). …;
   • Pre-communicate requirements: Click “Chat with AI about requirements” to discuss details with AI (e.g. “Avant-garde style with specific reference to Balenciaga’s design for the current season”), AI will output the final Prompt with structured parameters. The AI will output the final Prompt with structured parameters, click “Generate” after confirming that there are no errors.

（Step 3: Generate design, real-time adjustment

1. Initiate Generation: The system displays the progress of “Demand being disassembled→Call tool→Generate Design”, and generates 1-40 diagrams in a single pass, with the time consumed depending on the number of diagrams (about 30 seconds for 1 diagram, and about 15 minutes for 40 diagrams);
2. Preview and filtering: after the generation is completed, all the designs are displayed in thumbnail form, support clicking zoom in to view details, click “Favorite” to collect the preferred designs, and delete the solutions that do not meet the requirements;
3. Natural language modification: For the designs that need to be adjusted, enter modification instructions in the “Edit Prompt” box (e.g. “Deepen the lavender color of the Duck Coffee box”, “Thicken the poodle line of Billy’s logo”, “Make the poodle line of Billy’s logo”). (e.g. “Deepen the lavender color of the Duck Coffee box”, “Make the poodle line of Billy’s logo thicker”), click “Update”, AI will update the design within 30 seconds, and you can make adjustments several times until you are satisfied.

(D) Step 4: Export the finished product, apply or secondary editing

1. Select Format: Select the final design, click “Export”, select the export format — image class: PNG (transparent background / opaque background), JPG, PDF; 3D class: OBJ, STL; video class: MP4 (if generated); animation class: MP4 (if generated); video class: MP4 (if generated). (if animation is generated);
2. Setting parameters: select the resolution according to the use (72DPI for screen display, 300DPI for printing), whether to include editable text layers (need to be specified in advance in the demand “Include editable text layers”);
3. Export and subsequent use: click “Download” to save locally, or synchronize to traditional design software for fine-tuning (e.g. add brand slogan.) via “Import to PS/AI/Figma” button, adjust local details).

Application Scenarios: Covering Individuals and Enterprises to Meet Multiple Design Needs

Lovart’s functional design accurately matches the needs of different user groups, and the official cases are highly compatible with the actual experience:

(I) Corporate Branding: Efficient Visualization System

• Startup brand VI design: The founder of Billy pet food input “design a full set of VI, with curly-haired poodle as the core logo, hand-drawn graffiti style, applied to packaging, posters, labels”, Lovart generated the initial VI case, which included the logo (multiple versions), packaging (3D mockups), posters (4 styles), and the founder only used the logo to create the first VI case, and the founder was only able to create the first VI case. Lovart generates the first draft of a VI that includes a logo (multiple versions), packaging (3D mockups), and posters (4 styles), and the founder only needs to screen and fine-tune it, saving 50% of the cost and time of a traditional design firm;
• Mature brand iteration: Duck Coffee needs to update its packaging style, input “keep the original mauve brand color, upgrade to ‘bold pattern + eco-friendly material’ vision, generate 6 3D packaging diagrams”, and AI quickly outputs new designs in line with the brand tone, avoiding style discontinuity. AI quickly outputs a new design that conforms to the brand’s tone, avoids style faults, and supports the export of OBJ format for the production of 3D renderings in stores.

(ii) E-commerce and marketing: batch generation of flow-inducing materials

• Initial case of product packaging: The e-commerce team designs packaging for 10 new products, and inputs “4 initial cases for each model, with a unified style of ‘minimalist style + high saturated colors’, suitable for food categories”, Lovart generates 40 designs in a single run, and the team only needs to fine-tune the details after screening, so the initial case is delivered efficiently. Lovart generated 40 designs in a single pass, and the team only had to fine-tune the details after screening, increasing the efficiency of first-case delivery by 3 times;
• Social media materials: Beauty brands need “20 Xiaohongshu posters, 9:16 ratio, highlighting product texture (matte/nourishing), in ‘ins style + local close-ups'”, which is automatically added after batch generation by AI. After batch generation, AI automatically adds tags such as “# Beauty Sharing # New Product Trial”, which can be directly used for platform publishing, increasing the speed of content output by 60%.

(C) Advertising and Film: Rapid production of creative materials

• Advertising storyboard: The advertising agency designs a TVC storyboard for an automobile brand, and inputs “10 split-screen images, with the style of ‘sci-fi + dynamic blur’, and the scenes including ‘city road driving + off-road scenes'”, and Lovart generates a storyboard with the style of ‘sci-fi + dynamic blur’. “Lovart generates storyboards with shot descriptions to help clients quickly confirm creative direction and avoid reworking after shooting;
• Film and TV posters: The independent film team needed “5 promotional posters in the style of ‘Diablo + movie screenshot texture’, highlighting the protagonist and the core scenes”, AI called Flux to generate high-quality images, while matching the movie tones, which saved the production cost of professional poster designers. AI calls Flux to generate high-quality images, while matching the color tones of the movie, saving the production costs of professional posters.

(iv) Personal creativity and design assistance

• Designer efficiency enhancement: After receiving the demand for “brand poster design”, graphic designers first use Lovart to generate 10 initial cases, and then manually refine the adjustments after screening out 2-3 directions, shortening the design cycle from 3 days to 1 day;
• Individual creative landing: Illustrator input “Generate ‘future city + cat’ themed artwork, in the style of ‘cyberpunk + hand-painted’, including neon light and retro elements”, AI generated the basic composition, then Lovart generated 10 initial cases, then manually fine-tuned the design cycle from 3 days to 1 day. After the AI generates the basic composition, the illustrator adds details on the basis, and the speed of creative landing is increased by 50%.