Imaginer 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

DimensionImaginerThe New Black
Primary UseGeneral AI image generation on LinuxFashion design (apparel & accessories)
PlatformLinux desktop (GNOME)Web-based
IntegrationsOpenAI API, HuggingFace, custom endpointsAPI access (Business)
Key DifferentiatorNative Linux app, local model supportFashion-specific features: tech packs, virtual try-on
PrivacyCan run fully offline with local modelsCloud-based (data sent to servers)

Choose The New Black if you're a fashion brand needing specialized tools like tech packs, virtual try-on, and custom AI models for apparel. Choose Imaginer if you're a Linux user who wants a native, privacy-focused image generator that can run offline. They serve entirely different needs — fashion vs. general image generation, and web vs. Linux desktop.

Imaginer
Imaginer

Imaginer is a free, open-source GTK4/libadwaita desktop app that generates AI images on Linux — you supply the OpenAI key or local HuggingFace model.

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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
8 views
7.3k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebAPI
Categories
🎨 Image Generation💾 Local & On-Device AI
🎨 Image Generation📦 Product & Ecommerce Visuals🧊 3D Generation & Scanning
Features
Generate AI images from text prompts in a native GTK4/libadwaita desktop app
Native GNOME/libadwaita interface that follows system theming
Connect your own OpenAI API key for cloud image generation
Point the app at any custom OpenAI-compatible endpoint
Run HuggingFace models locally for offline image generation
Keep prompts on your machine when using a local model backend
Install via Flathub from GNOME Software or flatpak install page.codeberg.Imaginer.Imaginer.Imaginer
Arch Linux AUR package: yay -S imaginer
Nixpkgs Unstable package for NixOS: nix-shell -p imaginer
Build from source with flatpak-builder using the bundled Flatpak manifest
Open-source code mirrored on Codeberg and GitHub
Translate the app via Codeberg Translate
Custom backend configuration for API keys and endpoints
No bundled model — you choose the image generation backend
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
OpenAI
HuggingFace
Shopify
Klaviyo
Claude
ChatGPT
Google Analytics
Google Search Console
Instagram
Facebook
Pinterest
TikTok
YouTube
X
Threads
Meta Ads
Google Ads

What real users say: Imaginer 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.

Imaginer

49 mentions across 4 sources · 8% positive — critical (averaged across 4 sources)

Hacker News, Bluesky, GitHub, Lemmy

What users praise

  • • Native GNOME/libadwaita interface fits neatly into Linux desktop.
  • • Supports multiple backends: OpenAI, HuggingFace, custom endpoints.
  • • Open-source code on Codeberg/GitHub with translation support.
  • • Flatpak, AUR, and Nixpkgs packages make installation easy.

What frustrates them

  • • Config does not save; API keys reset after each restart.
  • • Local model support buggy with common errors on Stable Diffusion.
  • • Cannot generate multiple images simultaneously from GUI.
  • • No built-in models; users must bring their own or API keys.

Researched Jul 4, 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

    Needs quick concept-to-prototype with tech pack exports and virtual try-on, tailored for apparel.

  • Linux enthusiast wanting AI image generation on GNOME
    Pick: Imaginer

    Imaginer is native, integrates seamlessly, and can run offline with local models for privacy.

  • Accessories manufacturer exploring design variations
    Pick: The New Black

    The New Black's fashion-specific features and custom AI models can generate diverse accessory designs efficiently.

  • Privacy-conscious developer
    Pick: Imaginer

    Open-source, no telemetry, and can run entirely offline with HuggingFace local models.

  • Design team needing brand-consistent fashion assets
    Pick: The New Black

    Custom AI models and team management (Business) ensure consistent brand identity.

Frequently Asked Questions

Imaginer vs The New Black: which should you choose?

Choose The New Black if you're a fashion brand needing specialized tools like tech packs, virtual try-on, and custom AI models for apparel. Choose Imaginer if you're a Linux user who wants a native, privacy-focused image generator that can run offline. They serve entirely different needs — fashion vs. general image generation, and web vs. Linux desktop.

Can Imaginer generate fashion-specific designs like tech packs?

No. Imaginer is a general image generation tool without fashion-specific features like tech pack exports or virtual try-on.

Does The New Black work on Linux?

The New Black is web-based, so it works on any platform with a browser, but it does not offer a native Linux desktop app like Imaginer.

Is Imaginer free?

Yes, Imaginer is free and open-source. You only pay for API usage if using OpenAI, or you can run local models for free (requires compatible hardware).

Does The New Black have a free tier?

Yes, it offers a free tier with limited credits. Pro ($20/mo) and Business (custom) tiers unlock more features.

Which tool is better for privacy?

Imaginer can run fully offline with local models, ensuring no data leaves your machine. The New Black sends prompts to its servers for processing.

Can I use Imaginer on Windows or macOS?

No. Imaginer is built for Linux, specifically GNOME. Windows and macOS users should look elsewhere.

What integrations does The New Black offer?

It provides API access on the Business plan for custom integrations. No native integration with OpenAI or HuggingFace like Imaginer.

Which tool is better for professional fashion design?

The New Black is purpose-built for fashion, with high-resolution outputs, tech packs, and virtual try-on. Imaginer lacks these features.

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Last reviewed: July 4, 2026