JoliGEN vs The New Black
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | JoliGEN | The New Black |
|---|---|---|
| Pricing | Contact for pricing | Freemium (Free tier available; Pro and Business tiers) |
| Primary Focus | General image/video generation with GANs and diffusion models | Specialized fashion design for apparel and accessories |
| Key Features | GAN & diffusion, inpainting, outpainting, style transfer, real-time video, multi-GPU, pretrained model library | Text-to-design, tech pack exports, virtual try-on, custom AI models, Fashion Diffusion AI |
| Target Users | Marketing teams, graphic designers, video creators, enterprise R&D | Fashion brands, accessories manufacturers, startup fashion labels, design teams |
| Output Resolution | High-resolution output supported | High-resolution output suitable for production |
| Integration | Integration with popular design tools (unspecified) | API access for integrations (Business tier) |
If your work is fashion-specific—designing apparel or accessories—The New Black's freemium model, tech pack exports, and virtual try-on make it a clear winner for speed and specialization. For broader image and video generation needs (marketing, graphic design, video content), JoliGEN's dual GAN/diffusion approach, real-time video, and multi-GPU support offer more flexibility, but you'll need to contact them for pricing. Choose based on your domain: fashion vs. general visual content.
AI fashion design platform that turns a prompt, sketch or product photo into on-model shots, virtual try-ons and factory-ready tech packs.
Visit WebsiteWhat real users say: JoliGEN vs The New Black
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
JoliGEN
3 mentions across 1 sources · 45% positive — mixed (averaged across 1 source)
GitHub
What users praise
- • Combines GANs and diffusion for versatile generation.
- • Supports real-world image and video generation.
- • Custom model training for domain-specific applications.
- • Offers inpainting, outpainting, and style transfer.
What frustrates them
- • Multi-GPU training fails with 3+ GPUs.
- • Docker deployment is buggy and poorly documented.
- • Small community makes finding help difficult.
- • 37 open issues indicate ongoing reliability problems.
Researched Jul 5, 2026
The New Black
68 mentions across 5 sources · 18% positive — critical (averaged across 5 sources)
Hacker News, YouTube, Product Hunt, Stack Overflow, Lemmy
What users praise
- • Purpose-built for fashion: tech packs, virtual try-on, model generation.
- • Saves costs on photoshoots and technical drafting for small brands.
- • Brand DNA ensures consistency across designs.
- • Bulk generation speeds up catalog creation.
What frustrates them
- • Very little verified community feedback outside Product Hunt.
- • Not for non-fashion creative work; limited to apparel.
- • Pricing may be opaque; credits and hidden costs not clear.
- • Learning curve for tech packs and fashion-specific features.
Researched Aug 29, 2026
Who should pick which
- Fashion startup founderPick: The New Black
The New Black's freemium pricing and fashion-specific features (text-to-design, tech pack exports, virtual try-on) directly accelerate concept-to-prototype, ideal for a startup with limited budget and need for speed.
- Video content creatorPick: JoliGEN
JoliGEN provides real-time video processing, style transfer, and high-resolution output, which are essential for video production. Its GAN and diffusion combination offers flexibility for creative video effects.
- Enterprise R&D teamPick: JoliGEN
JoliGEN's multi-GPU support, batch processing, and custom model training enable scalable content generation for research and development, with contact pricing allowing tailored enterprise agreements.
- Apparel manufacturerPick: The New Black
Tech pack exports with measurements and realistic virtual try-on streamline design iterations and reduce prototype costs, making The New Black a practical choice for production-oriented teams.
- Graphic designerPick: JoliGEN
For general graphic design work beyond fashion, JoliGEN's inpainting, outpainting, and style transfer offer broader creative control and integration with popular design tools.
Frequently Asked Questions
JoliGEN vs The New Black: which should you choose?
If your work is fashion-specific—designing apparel or accessories—The New Black's freemium model, tech pack exports, and virtual try-on make it a clear winner for speed and specialization. For broader image and video generation needs (marketing, graphic design, video content), JoliGEN's dual GAN/diffusion approach, real-time video, and multi-GPU support offer more flexibility, but you'll need to contact them for pricing. Choose based on your domain: fashion vs. general visual content.
Can JoliGEN generate video?
Yes, according to its features, JoliGEN supports diffusion-based video generation and real-time video processing.
Does The New Black offer a free tier?
Yes, The New Black has a freemium model, which includes a free tier with limited features.
Which tool is better for fashion design?
The New Black is purpose-built for fashion design, offering text-to-design, tech pack exports, and virtual try-on, making it superior for apparel and accessories.
Is JoliGEN suitable for beginners?
JoliGEN is best for users with some technical background; it's not recommended for complete beginners.
Can I get API access to The New Black?
Yes, API access is available on the Business tier according to its features.
Does JoliGEN integrate with design tools?
Yes, JoliGEN integrates with popular design tools, though the specific tools are not listed.
Which tool offers custom model training?
Both tools offer custom model training: JoliGEN for general image/video, and The New Black for brand-consistent fashion designs.
What is the pricing for JoliGEN?
JoliGEN requires contacting their sales team for pricing; no public tiers are available.
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Last reviewed: July 5, 2026