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Hotpot AI Art Generator vs Stable Diffusion WebUI Forge

Hotpot AI Art Generator

hotpot.ai

Stable Diffusion WebUI Forge

github.com

Side by side

FigureHotpot AI Art GeneratorStable Diffusion WebUI Forge
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published51
Spec score · AI image generators8.4 (#32)8.9 (#12)
APIHotpot offers a web API for adding its AI services to an app, website or workflow, and API access requires payment.The README lists txt2img and img2img API endpoints as normal in its status table, with improved Flux support pending.
API accessYesYes
Image editingYesYes
Output formatsPNGPNG,JPG,JPEG,WebP,AVIF,GIF
PurposeThe generator turns text prompts into images, including photos, paintings, illustrations and imagined scenes.Forge is a platform built on Stable Diffusion WebUI and Gradio to ease development, optimize resource management, speed up inference, and study experimental features.
Reference imagesYesYes
SupportThe help page directs users with questions or account issues to contact Hotpot.The maintainer invites users to open issues for problems and says they will check them every several days.
Text-to-imageYesYes

Plans

Hotpot AI Art Generator

  • 1,000 credits$12, paid once
  • 2,500 credits$30, paid once
  • 5,000 credits$60, paid once
  • 10,000 credits$120, paid once
  • 20,000 credits$240, paid once

Hotpot AI Art Generator pricing →

Stable Diffusion WebUI Forge

  • FreeFree

Stable Diffusion WebUI Forge pricing →

In their own words

Hotpot AI Art Generator

Hotpot AI Art Generator has no write-up on Specifiction yet; its figures are above.

Visit hotpot.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