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Meigen AI vs Stable Diffusion WebUI Forge

Meigen AI

meigenai.app

Stable Diffusion WebUI Forge

github.com

Side by side

FigureMeigen AIStable Diffusion WebUI Forge
Price from$9.99/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published101
Spec score · AI image generators7.6 (#85)8.9 (#12)
API accessYesYes
Output formatsPNG,JPGPNG,JPG,JPEG,WebP,AVIF,GIF
Reference imagesYesYes
SecurityThe privacy policy says Meigen AI uses reasonable technical and organizational measures to protect account and service data.The repository's Security page is titled Overview and provides no security or compliance details in the opened page.
SupportThe site lists [email protected] as its contact email.The maintainer invites users to open issues for problems and says they will check them every several days.
Text-to-imageYesYes

Plans

Meigen AI

  • Starter$9.99 a month
  • Pro$19.99 a month
  • Ultimate$49.99 a month
  • Starter$9.99, paid once
  • Pro$19.99, paid once
  • Ultimate$49.99, paid once
  • Student Pack₹99, paid once
  • Creator Pack₹199, paid once
  • Business Pack₹499, paid once
  • Pro Pack₹999, paid once

Meigen AI pricing →

Stable Diffusion WebUI Forge

  • FreeFree

Stable Diffusion WebUI Forge pricing →

In their own words

Meigen AI

Meigen AI has no write-up on Specifiction yet; its figures are above.

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Stable Diffusion WebUI Forge

Stable Diffusion WebUI Forge is a free, open-source platform built on Stable Diffusion WebUI for image generation and editing. It supports text-to-image creation, reference images, and image editing, with PNG, JPG, JPEG, WebP, AVIF, and GIF listed as output formats. The project aims to ease development, manage resources, speed inference, and explore experimental features. Its interface is based on Gradio, and the README offers a one-click installation package that includes Git and Python. Windows launch scripts, shell scripts, a macOS environment script, and source installation instructions are listed. Forge includes GPU memory management and components such as LoRAs, ControlNets, IP-Adapters, Instant-IDs, reference-only methods, and extensions. Several Flux BitsandBytes and GGUF variants are natively supported, with GPU weight and swap controls; some variants support LoRA. The README lists txt2img and img2img API endpoints as normal, while improved Flux support is pending. The project is described as under construction, so its documentation, interface, and functionality may change. Its license is AGPL-3.0.

Visit github.com