Shakker

Shakker is a generative art tool. Shakker combines a streaming AI image generator, browser-hosted A1111 WebUI and ComfyUI, model training, and a curated library of Flux and XL checkpoints and LoRAs. It targets designers, illustrators and Stable Diffusion users who want hosted inference and a style catalog in one account.

Shakker is a generative image platform that bundles four distinct working environments into one account: a hosted Shakker AI Generator, an online A1111 WebUI, an online ComfyUI, and a training tool. The pitch is breadth rather than a single trick. Beginners can open the generator and start from a prompt, while users who already know Stable Diffusion workflows can load the WebUI or node-based ComfyUI in the browser without provisioning a GPU machine themselves. The site frames the generator as a streaming image tool, so results arrive progressively instead of after a long wait. The generator exposes a row of editing primitives beyond straight text to image. Color Palette handles grading, Entity Control and Spatial Control steer subjects and their placement, Style Transfer borrows the look of a reference, and Inpainting plus Outpainting cover local redraws and canvas extension. A Face Swap page rounds out the editing set. Because these are presented as first-class features rather than buried settings, the tool suits retouchers and concept artists who want to iterate on an existing image, not just spawn new ones from scratch. A model library anchors the whole product. Shakker hosts Flux.1 and XL checkpoints and LoRAs, including an exclusive tier authored by named creators such as DynamicWang and Dr_Dream, with work sorted into useful buckets like Game Design, Space Design, Illustration, Logo and Icon, Product Design, Architecture and Concept Art. The Playful Metropolis, Graffiti Art and Fashion LoRAs indicate a strong visual style catalog. Training is offered as a separate browser service, which matters for studios that need a private style or character rather than a public download. Where does it fit? The closest comparisons are model hosting sites and cloud GPU services for Stable Diffusion. Shakker competes by merging the model hub, the inference UI and the training pipeline under one login, which shortens the loop from finding a LoRA to testing it. The tradeoff is depth: users who want full control over extensions, custom nodes or local file access will still prefer a desktop install, and anyone who only needs a quick one-off image may find the multi-tool layout heavier than a simple prompt box.