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Pixomi AI vs Stable Diffusion WebUI Forge

Pixomi AI

pixomi.ai

Stable Diffusion WebUI Forge

github.com

Side by side

FigurePixomi AIStable Diffusion WebUI Forge
Price from$8.33/moFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
API—Yes
Self-hosted—Yes
Plans published101
Spec score · AI image generators8.9 (#15)8.9 (#12)
API accessNoYes
API statusPixomi's home page says the SeeAPI unified public API for image, video, music and voice models is coming soon.The README marked txt2img and img2img API endpoints normal, with improved Flux support pending, in a status entry last tested in August 2024.
Image editingUsers can upload reference images and make prompt-guided changes such as background replacement, restyling, lighting changes and object removal.Yes
Output formatsJPG,PNG,WebPPNG,JPG,JPEG,WebP,AVIF,GIF
Reference imagesYesYes
Text-to-imageYesYes

Plans

Pixomi AI

  • Basic$29.90 a month
  • Essential$49.90 a month
  • Growth$99.90 a month
  • Basic YearlyPrice not published
  • Essential YearlyPrice not published
  • Growth YearlyPrice not published
  • FreeFree
  • Basic Yearly$100 a year
  • Essential Yearly$360 a year
  • Growth Yearly$599 a year

Pixomi AI pricing →

Stable Diffusion WebUI Forge

  • FreeFree

Stable Diffusion WebUI Forge pricing →

In their own words

Pixomi AI

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

Visit pixomi.ai

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