Qwen-Image-Layered vs The New Black

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionQwen-Image-LayeredThe New Black
Best ForGraphic designers extracting elements from imagesFashion brands designing new apparel collections
Core FunctionAI-driven image layer decomposition into RGBA layersText-to-fashion-design generation with tech pack exports
Key FeatureRecursive decomposition, semantic object separationRealistic virtual try-on, custom AI models
Not ForFull image editing suite (color grading, filters)General graphic design outside fashion
OutputLayered PNG with transparency, individual RGBA layersHigh-resolution images, tech packs (measurements)

Choose The New Black if you're a fashion brand needing AI-generated apparel designs with production-ready outputs. Choose Qwen-Image-Layered if you're a graphic designer or developer who needs to decompose images into editable layers for compositing. They serve completely different workflows—fashion creation vs. image asset extraction.

Qwen-Image-Layered
Qwen-Image-Layered

Qwen-Image-Layered splits a flat image into editable RGBA layers with AI object separation and recursive sub-layer breakdown.

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The New Black
The New Black

The New Black AI turns product photos, sketches or prompts into on-model fashion shots, 4K video, tech packs and Shopify listings

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Pricing
Free
Freemium
Plans
$0
One-off top-up
$15/mo
$35/mo
$65/mo
$195/mo
Popularity
26 views
7.3k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPI
Categories
🎨 Image Generation✨ Photo Editing & Enhancement
🎨 Image Generation📦 Product & Ecommerce Visuals🧊 3D Generation & Scanning
Features
AI-driven decomposition of a flat image into multiple RGBA layers
Semantic object separation into foreground, background and individual objects
Recursive decomposition that splits an extracted layer into sub-layers
Configurable number of output layers per request
Layer-level move, resize, reorder and delete without artifacts
Transparent background and full alpha channel preservation
PNG, JPG and WebP input support
Output as layered file or flattened PNG with transparency
Web app in the Qwen ecosystem
Android app
macOS desktop app
Windows desktop app
Open-source model released at no cost
AI clothing generator: text prompt to garment worn by an AI model, flat lay or white background
Product to model: product photo becomes on-model imagery with no photoshoot
Sketch to design: hand-drawn or digital fashion sketch becomes a realistic product image
Image to flat sketch: a garment photo becomes a clean technical flat
Change fabric, print and colour on an existing garment photo
AI virtual try-on: put clothing, jewelry, bags or shoes on a model you upload
Swap the model while keeping the outfit, or change the scene around a fixed look
Ghost mannequin images with the collar interior visible
AI tech pack generator: size charts, grading and bill of materials with AI review credits
AI lookbook generator published at its own address on your custom domain, no vendor mark
AI fashion video: UGC clips, lookbook videos, product 360s and fashion ads
Ultra AI video model producing clips up to 30 seconds
AI PRO video in 1080p, Ultra AI photos in 4K with HD 2K and 4K enhancement
Bulk generation to run a whole catalogue in one pass with Visual styles
Fashion AI agent Mila: designs, writes pages, reads store figures, posts on schedule, asks before spending
Integrations
Shopify
Klaviyo
Claude
ChatGPT
Google Analytics
Google Search Console
Instagram
Facebook
Pinterest
TikTok
YouTube
X
Threads
Meta Ads
Google Ads

What real users say: Qwen-Image-Layered 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.

Qwen-Image-Layered

27 mentions across 3 sources · 77% positive (averaged across 3 sources)

Hacker News, Product Hunt, Lemmy

What users praise

  • • Automatically decomposes flat images into multiple RGBA layers.
  • • Open-weight and Apache 2.0 licensed — free to use and modify.
  • • Eliminates manual masking and lassoing for element isolation.
  • • Preserves transparent backgrounds with clean alpha channels.

What frustrates them

  • • Large model size; a distilled version is needed for easier adoption.
  • • No official Windows installer — requires manual setup.
  • • Output format limited to PNGs; no direct PowerPoint export despite hints.
  • • API documentation is sparse, lacking production-grade SLAs.

Researched Jul 3, 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 founder
    Pick: The New Black

    Need to rapidly generate apparel concepts and tech packs; The New Black's text-to-design and high-res output fit this workflow.

  • Graphic designer extracting objects
    Pick: Qwen-Image-Layered

    Frequent need to isolate elements from images; Qwen-Image-Layered's RGBA decomposition saves manual masking.

  • Game developer separating sprites
    Pick: Qwen-Image-Layered

    Requires clean layer separation of game assets; tool's semantic object detection works well.

  • Accessories manufacturer exploring variations
    Pick: The New Black

    The New Black's style customization and virtual try-on help iterate designs before prototyping.

  • UI designer preparing asset layers
    Pick: Qwen-Image-Layered

    Need to decompose UI mockups into editable layers; Qwen-Image-Layered handles transparent backgrounds.

Frequently Asked Questions

Qwen-Image-Layered vs The New Black: which should you choose?

Choose The New Black if you're a fashion brand needing AI-generated apparel designs with production-ready outputs. Choose Qwen-Image-Layered if you're a graphic designer or developer who needs to decompose images into editable layers for compositing. They serve completely different workflows—fashion creation vs. image asset extraction.

Can The New Black generate non-fashion images?

No, it's designed specifically for apparel and accessories, not general graphic design.

Can Qwen-Image-Layered generate new images from text?

No, it only decomposes existing images into layers, not text-to-image generation.

Does The New Black offer a free trial?

Yes, it has a free tier with limited features; Pro starts at $29/mo.

Is Qwen-Image-Layered truly free?

Yes, it's free with no paid plans, though batch processing may require API integration skills.

Which tool integrates with other software?

The New Black offers API access on Business plans; Qwen-Image-Layered supports batch processing via API.

Do these tools support team collaboration?

The New Black has team management on Business; Qwen-Image-Layered does not mention team features.

Can I use The New Black for virtual try-ons?

Yes, it includes realistic virtual try-on functionality.

Does Qwen-Image-Layered preserve image quality?

Yes, it outputs PNG with transparency, and layer manipulation is artifact-free.

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Last reviewed: July 3, 2026