AI is changing the way fashion brands create content, and X-Design has become one of the go-to platforms for generating model imagery and styling visuals with artificial intelligence. But as brands demand more customization, localization and visual storytelling, many are looking for tools that go beyond what X-Design offers, some X-Design alternatives.
Whether you're a global fashion retailer, a marketplace or a DTC brand (Direct to Consumer), this guide covers 10 powerful X-Design competitors to consider in 2025. From advanced styling and emotional tagging to multilingual support and deep personalization, these alternatives offer unique advantages for every stage of content production and creative automation.
X-Design is an AI fashion content creation platform that generates realistic product images and model photography without the need for photoshoots. Brands upload images of garments or sketches and X-Design uses generative models to place them on diverse, digitally rendered models.
It’s used by fashion retailers to:
Visualize products faster
Cut down on photography costs
A/B test product visuals at scale
Create diverse, inclusive visuals for multiple markets
X-Design’s biggest strength is speed, it allows rapid content creation at scale with minimal effort. However, its closed customization model and limited support for brand-specific storytelling can leave some brands wanting more.
While X-Design is powerful, it may not be the best fit for every brand. Here’s why some teams are exploring alternatives:
Limited creative control: Templates and outputs can feel generic or off-brand
No emotional or intent-based content tagging
Minimal support for multilingual or regional content
Lack of integration with advanced PIM or CRM systems
No real-time trend, pricing, or behavioral data insights
If your brand needs more than just visuals: if you need connection, intelligence, and storytelling; keep reading.
First of all, here's a comparison table of the ten tools I'll be developing later, so you can visually see their strengths and weaknesses and discover which ones you'd be interested in exploring further.
Platform | AI Model Images | Emotional Tagging | Multilingual Support | Outfit Styling | Diversity / Inclusion | Fast Content Generation |
---|---|---|---|---|---|---|
Modelia | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
ZMO.ai | ✔️ | ❌ | ❌ | ❌ | ❌ | ✔️ |
Vue.ai | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Deep Agency | ✔️ | ❌ | ❌ | ❌ | ❌ | ✔️ |
Fashable | ✔️ | ❌ | ❌ | ❌ | ❌ | ✔️ |
Lalaland.ai | ✔️ | ❌ | ❌ | ❌ | ✔️ | ✔️ |
Fashn.ai | ❌ | ❌ | ❌ | ❌ | ❌ | ✔️ (Tagging) |
Lily AI | ❌ | ✔️ | ✔️ | ❌ | ❌ | ❌ |
Stylitics | ❌ | ❌ | ❌ | ✔️ | ❌ | ✔️ |
FindMine | ❌ | ❌ | ❌ | ✔️ | ❌ | ✔️ |
What it does well:
Modelia combines AI model imagery with emotional tagging, multilingual product descriptions, and personalized styling. It not only generates product images but also enriches them with intent-based and psychographic metadata that improves discovery, SEO, and campaign performance.
Standout features:
Upload flat-lay or ghost mannequin photos and generate realistic model images
Facial expression changer
Background remover
Image to video
Best for:
Global fashion brands and e-commerce teams looking to humanize and localize AI-generated fashion content at scale.
What it does well:
ZMO specializes in generating high-quality model images from product shots with minimal setup. Its strength lies in speed and visual realism, helping brands replace traditional photoshoots.
Best for:
Startups and mid-sized brands looking to create AI model photos for lookbooks, PDPs, and ads without studio costs.
What it does well:
Beyond visuals, Vue.ai offers a complete AI stack for fashion retailers—automated tagging, personalized styling, visual search, and more.
Best for:
Retailers that want an end-to-end fashion AI solution that connects content, commerce, and customer behavior.
What it does well:
Deep Agency uses generative AI to create hyper-realistic model imagery from uploaded clothing photos. It also offers virtual backgrounds and lighting control.
Best for:
Fashion DTC brands seeking polished, editorial-quality visuals for campaigns or e-commerce.
What it does well:
Fashable focuses on fashion-forward 3D visualization using generative AI, ideal for luxury and runway-style imagery.
Best for:
High-fashion or concept-driven labels looking for art-directed, futuristic visuals.
What it does well:
Lalaland lets you create virtual models that reflect real-world diversity in ethnicity, age, size, and identity, driving inclusive representation in fashion imagery.
Best for:
Brands prioritizing inclusivity in visual storytelling and customer resonance.
What it does well:
Great for bulk enrichment, Fashn.ai uses pre-trained AI models to tag thousands of SKUs by color, cut, pattern, and style in seconds.
Best for:
Retailers needing fast, scalable enrichment for large catalogs.
What it does well:
Lily AI excels at turning visual and text attributes into customer-centric insights. It powers emotional tagging, advanced personalization, and recommendation systems.
Best for:
Teams focused on conversion optimization and customer intent.
What it does well:
Stylitics creates shoppable outfit bundles from enriched product data, helping increase basket size and session time.
Best for:
Brands that want to enhance visual merchandising and styling across PDPs and emails.
What it does well:
FindMine automatically builds complete outfits with in-stock products, turning simple listings into inspiring, styled ensembles.
Best for:
Merchandisers and omnichannel brands looking to improve upselling and storytelling.
X-Design helped pave the way for AI fashion visuals, but the field has grown fast. Whether you need emotional content, better control, multilingual capability, or styling intelligence, there's a 2025-ready platform that offers more.
Modelia, in particular, stands out as the most complete and flexible solution, blending creativity, intelligence, and global adaptability into one platform.
Platform | Strength | Best For |
---|---|---|
Modelia | Emotion-driven, multilingual styling | Global brands & creative teams |
ZMO.ai | Fast AI model generation | Quick content for ads & PDPs |
Vue.ai | Full fashion AI suite | All-in-one automation for retail |
Deep Agency | Photorealistic visuals | Editorial-quality images |
Fashable | High-fashion 3D visuals | Conceptual or luxury fashion |
Lalaland.ai | Inclusive model diversity | Brands focused on representation |
Fashn.ai | Bulk product tagging | Catalog ops & enrichment at scale |
Lily AI | Intent + emotional tagging | Personalization & CRO |
Stylitics | Outfit bundling | Visual merchandising & styling |
FindMine | Inventory-aware styling | Cross-sell and dynamic outfit generation |
If you're rethinking your fashion content strategy for 2025, now is the perfect time to explore smarter, more adaptable tools beyond X-Design. Whether your priorities are deeper creative control, multi-language support for international growth, emotionally-driven product descriptions, or simply more flexible integration with your tech stack, there’s a platform out there tailored to your needs.
Before you commit to a new solution, take a moment to define your content goals. Do you need scalable AI styling? Richer personalization? Stronger taxonomy control? Are you focused on conversion, discoverability, or branding?
The platforms listed in this guide offer a wide range of strengths, and most include free demos, pilot programs, or flexible trials, so you can test them hands-on before making a long-term decision.
Don’t settle for a one-size-fits-all solution. Take control of your brand’s creative vision and start producing AI fashion content that truly resonates with your audience.
Explore the options. Pick your next creative AI partner. Your future visuals deserve it.
Modelia uses AI-generated models to help fashion retailers reduce photo production expenses and increase sales.
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