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AI & Automation
Zeg.ai
Zeg.ai logo
AI & Automation

Zeg.ai

Zeg.ai is an AI-powered fashion design platform that enables designers, brands, and retailers to rapidly generate and visualize clothing concepts. It leverages generative AI models to transform text prompts, sketches, or reference images into high-quality, photorealistic fashion designs. The tool is designed to accelerate the ideation and prototyping phases of the fashion design process, allowing users to explore styles, patterns, colors, and fabrics without the need for extensive manual drawing or 3D modeling. It caters to individual fashion designers, design studios, e-commerce brands, and marketing teams looking to create visual content. By automating the initial visual creation, Zeg.ai helps reduce time-to-market, lower prototyping costs, and facilitate collaborative design reviews. The platform positions itself as a bridge between creative inspiration and tangible design assets, integrating AI into the creative workflow rather than replacing the designer.

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📊 At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
N/A
Engagement
0🔥
0👁️
Categories
AI & Automation
Generative Platforms

Key Features

Text-to-Fashion Design

Users input descriptive text prompts (e.g., 'a floral summer dress with puff sleeves') and the AI generates corresponding photorealistic or stylized fashion garment images.

Sketch-to-Design Enhancement

Allows designers to upload rough hand-drawn sketches or line art, which the AI then refines, adds textures, colors, and details to create a polished, realistic rendering.

Style Transfer & Remixing

Apply the style, pattern, or color scheme from a reference image (e.g., a famous painting, fabric swatch) to a base garment design generated by the AI or provided by the user.

Fabric and Texture Simulation

The AI can generate realistic depictions of different materials like silk, denim, leather, or knitwear, including how they drape, fold, and reflect light.

Design Variation Generation

With a single input, the tool can produce multiple design alternatives, allowing users to compare different interpretations, colorways, or minor stylistic changes side-by-side.

Pricing

Free / Starter

$0
  • ✓Limited number of AI generations per month (exact count unknown)
  • ✓Access to core text-to-image and image-to-image generation features
  • ✓Standard resolution image exports
  • ✓Basic community or email support

Pro

Usage-based or subscription (exact price unknown)
  • ✓Higher monthly credit allowance for more generations
  • ✓Priority generation queue for faster processing
  • ✓Higher resolution exports and possibly commercial usage rights
  • ✓Advanced editing and refinement tools
  • ✓Better support (e.g., priority email)

Enterprise / Custom

custom
  • ✓Custom credit packages and volume discounts
  • ✓Dedicated account management and technical support
  • ✓Potential for API access for integration into internal systems
  • ✓Enhanced security, data privacy controls, and SSO
  • ✓Custom model training or fine-tuning possibilities

Use Cases

1

Fashion Design Ideation & Concept Development

Fashion designers and design teams use Zeg.ai to quickly generate a wide range of visual concepts from mood boards or written briefs. Instead of spending days sketching, they can input descriptive keywords about a new collection (e.g., '90s minimalist, oversized tailoring, neutral palette') and receive numerous rendered garment options. This accelerates the initial creative phase, allows for rapid exploration of trends, and helps in presenting concrete visual ideas to stakeholders early in the process.

2

E-commerce Product Mockup Creation

Online fashion retailers and DTC brands utilize the tool to generate high-quality product images for websites and marketing campaigns before a physical sample is produced. By describing a planned product, they can create photorealistic mockups for landing pages, social media ads, and email newsletters. This enables marketing teams to gauge customer interest and launch pre-sales campaigns based on AI-generated visuals, reducing the risk and cost associated with traditional photoshoots for unproven designs.

3

Personalized Custom Apparel Design

Businesses offering made-to-order or personalized clothing services use Zeg.ai to let customers co-create designs. A customer can describe their ideal custom jacket or upload inspiration images, and the service provider can use the AI to generate a visual proposal for approval. This improves customer communication, ensures alignment on vision before production, and enhances the bespoke shopping experience by providing a tangible preview of the final product.

4

Educational Tool for Fashion Students

Institutions and instructors in fashion design incorporate Zeg.ai into their curriculum to help students visualize complex concepts and experiment with styles rapidly. Students can test how historical fashion elements translate into modern designs or explore sustainable material visualizations. The tool serves as a digital sandbox, allowing learners to iterate on ideas without material costs, thereby complementing traditional sketching and draping techniques with AI-assisted visualization.

5

Trend Forecasting and Market Analysis

Trend analysts and fashion buyers use the platform to visualize emerging trends described in reports or seen on runways. By generating images based on trend keywords (e.g., 'cottagecore dresses', 'techwear accessories'), they can create compelling visual materials for internal presentations or client reports. This helps brands make faster, data-informed decisions about which trends to invest in for upcoming seasons by seeing potential interpretations before commissioning physical samples.

How to Use

  1. Step 1: Visit the Zeg.ai website and sign up for an account using your email or social login. New users may start with a free trial or limited credits to explore the platform.
  2. Step 2: Upon logging in, familiarize yourself with the dashboard. You may need to configure basic profile settings or connect any external design tools if integrations are offered.
  3. Step 3: To create a design, navigate to the main design canvas or generation interface. Choose your input method: you can start with a text description (prompt), upload a rough sketch, or select a reference image for style inspiration.
  4. Step 4: Refine your generation parameters. Specify details such as garment type (e.g., dress, jacket), desired style (e.g., bohemian, minimalist), fabric texture, color palette, and any other attributes. Adjust AI strength and creativity sliders if available.
  5. Step 5: Initiate the AI generation. The platform will process your inputs and generate one or multiple visual design variations. This typically takes a few seconds to a minute.
  6. Step 6: Review the generated images. Use built-in editing tools to iterate: you can refine the prompt, use an image as a new reference, adjust specific elements, or generate more variations.
  7. Step 7: Once satisfied, export your final design. Download the high-resolution image in a standard format (PNG, JPG). The platform may also offer options to save designs to a project library, share them via a link, or export for use in other design software.
  8. Step 8: Integrate the output into your workflow. Use the generated designs for mood boards, client presentations, e-commerce product mockups, or as a base for further refinement in tools like Adobe Photoshop or CLO 3D.

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At a Glance

Pricing Model
Freemium
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