Point-e vs The New Black

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

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionPoint-eThe New Black
PricingFree (MIT License)Freemium (Free tier; Pro & Business paid plans)
Best ForResearchers, developers, students exploring 3D generative AIFashion brands, design teams seeking AI-assisted apparel design
Output Type3D point clouds (low resolution), optionally meshes2D fashion design images, tech packs, virtual try-on
User InterfaceCommand-line / Python API, Jupyter notebooks, no GUIWeb-based GUI with design editing tools
IntegrationPip installable, open source, no built-in integrationsAPI access (Business plan), team management
Production ReadinessNot production-quality; low resolution, one object per promptHigh-resolution output, tech pack exports suitable for manufacturing

Choose Point·E if you're a researcher or developer diving into 3D generative modeling and need a free, open-source starting point. Choose The New Black if you're a fashion professional seeking a polished, industry-specific tool to generate production-ready apparel designs quickly. For most commercial fashion needs, The New Black is the clear winner; for 3D research and prototyping, Point·E offers unique value at no cost.

Point-e
Point-e

Point·E is OpenAI's archived open-source 3D point cloud generation model for text-to-3D and image-to-3D synthesis.

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The New Black
The New Black

AI fashion design that turns product photos, sketches and prompts into on-model shots, 1080p video and factory-ready tech packs

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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
Advanced
Intermediate
API Available
Platforms
CLIAPI
WebAPIPlugin
Categories
🧊 3D Generation & Scanning
🎨 Image Generation📦 Product & Ecommerce Visuals🧊 3D Generation & Scanning
Features
Text-to-3D point cloud generation (limited to simple categories and colors)
Image-to-3D point cloud generation conditioned on synthetic view images
Point cloud to mesh conversion via SDF regression model
Diffusion model that synthesizes point clouds directly
Ships with pre-trained model weights
Jupyter notebooks: image2pointcloud.ipynb, text2pointcloud.ipynb, pointcloud2mesh.ipynb
evaluate_pfid.py and evaluate_pis.py compute P-FID and P-IS metrics
blender_script.py renders point clouds and meshes
MIT license permits commercial use and modification
Install via pip install -e .
Python API for sampling and inference
Command-line sampling interface
Conditions generation on CLIP embeddings
CUDA GPU acceleration for sampling
AI clothing generator: 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
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 in 1080p
Ultra AI photos in 4K, 7 credits per image; 1080p video at 15 credits per second
Upscale to HD 2K or 4K and upscale videos to HD
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
Blender
Shopify
Klaviyo
Claude
ChatGPT
Instagram
Facebook
Pinterest
TikTok
YouTube
X
Threads
Meta Ads
Google Ads
Google Analytics
Google Search Console

What real users say: Point-e 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.

Point-e

81 mentions across 5 sources · 24% positive — critical (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

What users praise

  • • Fast generation: one 3D sample in about a minute, far quicker than competitors
  • • Open source with MIT license, free for commercial use
  • • Modular pipeline: text-to-image, point cloud diffusion, and mesh conversion
  • • Includes pre-trained weights and Jupyter notebooks for each stage

What frustrates them

  • • Output is sparse point cloud, not a refined mesh asset
  • • Mesh conversion lacks color and texture (reported on GitHub)
  • • Text-to-3D only understands simple categories and colors
  • • Installation unclear: 'pip install -e' confuses users

Researched Aug 25, 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

  • AI Researcher (3D Generation)
    Pick: Point-e

    Point·E provides open-source diffusion models for point cloud synthesis, evaluation benchmarks (P-FID, P-IS), and customizable pipelines, making it ideal for research.

  • Fashion Designer / Brand Founder
    Pick: The New Black

    The New Black offers text-to-fashion design, high-resolution outputs, tech pack exports, and virtual try-on, tailored to the apparel industry.

  • Hobbyist Learning 3D GenAI
    Pick: Point-e

    Free and open-source, with Jupyter notebooks for hands-on experimentation, perfect for learning 3D generative models without cost.

  • Small Fashion Startup
    Pick: The New Black

    Freemium pricing allows cost-effective prototyping; tech pack exports and custom models speed up concept-to-sample workflows.

  • Software Developer Building 3D Pipeline
    Pick: Point-e

    Python API and command-line interface allow integration into custom pipelines; MIT license permits commercial use if adapted.

Frequently Asked Questions

Point-e vs The New Black: which should you choose?

Choose Point·E if you're a researcher or developer diving into 3D generative modeling and need a free, open-source starting point. Choose The New Black if you're a fashion professional seeking a polished, industry-specific tool to generate production-ready apparel designs quickly. For most commercial fashion needs, The New Black is the clear winner; for 3D research and prototyping, Point·E offers unique value at no cost.

Are these tools comparable?

Not directly. Point·E generates 3D point clouds for research; The New Black generates 2D fashion designs for commercial use. They serve different needs.

Which tool is better for a fashion brand?

The New Black, as it is purpose-built for apparel design with features like tech pack exports and virtual try-on.

Can Point·E be used commercially?

Yes, its MIT license allows free commercial use, but output quality is low-res and not production-ready.

Does The New Black have a free tier?

Yes, it is freemium; a free tier exists but with limitations (e.g., fewer generations).

Which tool offers 3D output?

Point·E outputs 3D point clouds (and optional meshes). The New Black outputs 2D images and tech packs.

Do these tools integrate with other software?

Point·E has no built-in integrations; The New Black offers API access on Business plan.

Which tool is easier to use?

The New Black has a web GUI; Point·E requires coding (Python, command line).

Has any tool been updated recently?

No recent news for either tool; current features are as described.

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Last reviewed: July 3, 2026