Open-Source AI · AI image generation

SD.Next vs Prompt Image

SD.Next vs Prompt Image compared for 2026 — features, license, ease of use, performance and which one to choose. Power-user fork with broad model support vs Text-to-image, text-to-video and a prompt library.

Updated regularly · curated by olud.ai

Choose SD.Next for power users who want the newest architectures. Choose Prompt Image for for creators making product and social visuals without running models locally.

SD.Next vs Prompt Image at a glance

SpecSD.NextPrompt Image
CategoryAI image generationAI image generation
TypeWeb UIHosted AI image and video studio
LicenseAGPL-3.0Proprietary
Runs locallyYesNo
Primary languagePython—
Ease of useAdvancedBeginner
Best forpower users who want the newest architecturesfor creators making product and social visuals without running models locally
GitHub stars7.2k—

How SD.Next and Prompt Image score

🤝 Too close to call — SD.Next and Prompt Image land within a hair (3.5 vs 3.3 / 5). Pick on fit, not on score.
CriterionSD.NextPrompt Image
Popularity2.5n/a
Maintenance4.0n/a
Ease of use2.55.0
Privacy5.03.5
License freedom3.51.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

SD.Next

Web UI · AGPL-3.0

SD.Next is a feature-forward web UI for image generation that supports a wide range of model architectures and backends with frequent updates.

  • Supports many model architectures and backends
  • Frequent updates and optimizations
  • Highly configurable for advanced users
See the SD.Next page →

Prompt Image

Hosted AI image and video studio · Proprietary

Prompt Image is a hosted web studio that turns text prompts or reference photos into images and video, behind an account. Billing is in credits: 100 at signup plus 440 over a 7-day check-in cycle with no card, free images capped at 1K, annual plans $8.3 to $75.0 a month. Note before using it: several library prompts reproduce named third-party brands and logos, while its FAQ says you need permission for reference material.

  • Free to start without a card: 100 signup credits plus 440 over a 7-day check-in cycle.
  • Image and video models in one account: Nano Banana Pro, Flux Kontext and Veo 3.
  • Plan cards list a credit cost per model; the FAQ says costs appear before submission.
Visit Prompt Image →

Key differences

SD.Next is web UI, while Prompt Image is hosted AI image and video studio. Their licenses differ (AGPL-3.0 vs Proprietary), which matters if you ship a commercial product. SD.Next leans more advanced-friendly, whereas Prompt Image is more suited to beginner users. They also differ in how they run (Yes vs No). In short, SD.Next fits power users who want the newest architectures, and Prompt Image fits for creators making product and social visuals without running models locally.

Which should you choose?

Choose SD.Next for power users who want the newest architectures. Choose Prompt Image for for creators making product and social visuals without running models locally.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is SD.Next or Prompt Image easier to use?

Prompt Image is generally the easier of the two to get started with, while SD.Next rewards more setup with more control.

Are SD.Next and Prompt Image free?

SD.Next is free and open source (AGPL-3.0), and Prompt Image is free to use but closed source. Neither charges for the core software.

Can I run SD.Next and Prompt Image locally?

SD.Next: yes · Prompt Image: no. Both can be used without sending your data to a third-party cloud where their setup allows.

SD.Next vs Prompt Image — which should I pick in 2026?

Choose SD.Next for power users who want the newest architectures. Choose Prompt Image for for creators making product and social visuals without running models locally.

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