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Shedevrum vs Stable Diffusion WebUI Forge

Shedevrum

yandex.ru

Stable Diffusion WebUI Forge

github.com

Side by side

FigureShedevrumStable Diffusion WebUI Forge
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
API—Yes
Self-hosted—Yes
Plans published31
Spec score · AI image generators8.8 (#17)8.9 (#12)
Image editingYesYes
Reference imagesYesYes
SupportOfficial support is available through a Shedevrum chatbot and an online feedback form.The maintainer invites users to open issues for problems and says they will check them every several days.
Text-to-imageYesYes

Plans

Shedevrum

  • Free appFree
  • ShedevrumFree
  • Shedevrum ProPriced on request

Shedevrum pricing →

Stable Diffusion WebUI Forge

  • FreeFree

Stable Diffusion WebUI Forge pricing →

In their own words

Shedevrum

Shedevrum is a generative-AI app for creating images, videos, clips, and text. YandexART powers image generation, while YandexGPT creates text. Prompts can be written in any language, and image generation offers Alice AI ART v.1.0 plus YandexART v.2.7 and v.2.5 models, usually producing a result in under a minute. Users can provide reference images and edit images. Short videos start with a described idea, a generated first frame, and an animation effect. Clips combine 3 to 30 content items, include music, and can run for up to two minutes; music can come from Yandex Music. A community layer lets users view and like posts, follow people, add friends, and share posts. Moderation combines automatic filters with human review, while Kids mode adds stricter controls and privacy protections. The free app runs on Android, iOS, and the web and requires internet access.

Visit yandex.ru

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.

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