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SnowArt vs Stable Diffusion WebUI Forge

SnowArt

snowart.ai

Stable Diffusion WebUI Forge

github.com

Side by side

FigureSnowArtStable Diffusion WebUI Forge
Price from$10/moFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published31
Spec score · AI image generators8.0 (#55)8.9 (#12)
Image editingUsers can upload a reference image to restyle, edit, or remix it with a prompt.Yes
Reference imagesYesYes
SupportSnowArt directs users to [email protected] for questions about plans, credits, and billing.The maintainer invites users to open issues for problems and says they will check them every several days.
Text-to-imageYesYes

Plans

SnowArt

  • FreeFree
  • Pro$10 a month
  • Ultimate$20 a month

SnowArt pricing →

Stable Diffusion WebUI Forge

  • FreeFree

Stable Diffusion WebUI Forge pricing →

In their own words

SnowArt

SnowArt is a web workspace for generating and editing images and making video clips. It combines models from Google, OpenAI, ByteDance, Kuaishou, and SnowArt. Image generation accepts plain-language prompts in English or Chinese, and the Enhance button expands short ideas into more detailed prompts. Each run can produce several variations side by side. An image expander accepts JPG, PNG, or WebP files up to 6MB and expands them to five aspect ratios. Listed video models create clips from text or images; some support native audio and clips up to fifteen seconds. The Free plan provides 10 credits per day and unlimited SnowArt 2.0 generations in a slow queue, with watermarked images for personal use only. Pro costs $10.00 per month billed annually ($120/year); Ultimate costs $20.00 per month billed annually ($240/year). Paid plans describe premium models as coming soon.

Visit snowart.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