Shakker
Streaming-first AI image generation with editing and web-based tools
What is Shakker?
Shakker is an online image generation and editing platform that emphasizes streaming output and a set of creator-focused tools. The service combines text-to-image generation with targeted editing capabilities to support iterative visual workflows.
The generator exposes controls for color, subject/entities, and style so users can refine aesthetics and composition. It also provides spatial and postural controls to influence layout and pose, alongside inpainting and outpainting for local edits and canvas expansion.
Shakker includes face-swap functionality and a collection of exclusive models that creators can discover and use. The platform is positioned for creators at various skill levels with hosted tooling rather than requiring local setup.
Hosted tooling features include an online Shakker Generator plus web-hosted interfaces such as an A1111 WebUI and ComfyUI, and options for online training. These web tools aim to let users prototype and train without configuring local environments.
Shakker Features
Color palette controls
Shakker exposes color palette controls so users can guide color and tonal choices in generated images. This helps maintain consistent palettes across iterations when refining a concept or series.
Entity / subject control
The platform provides entity or subject-level controls that let creators influence what appears in a scene and how key elements are rendered. This aids targeted edits when specific characters or objects must be preserved across variations.
Style transfer and model styles
Shakker includes style transfer capabilities and a range of exclusive models to apply different visual treatments. Creators can shift an image’s style while preserving composition and subject detail.
Spatial and postural controls
Spatial or postural controls allow users to direct layout, pose, and arrangement within a generated image. These controls support compositional adjustments without reworking the entire prompt from scratch.
Inpainting and outpainting for targeted edits
Shakker supports inpainting for localized corrections and outpainting to expand a scene beyond the original canvas. These workflows let users repair, replace, or extend image content while keeping consistent style and lighting.
Face-swap and model discovery
The platform lists face-swap among its editing capabilities and pairs this with an ecosystem of discoverable models. Creators can experiment with face edits alongside other model-driven transformations.
Hosted tools and online training
Shakker offers hosted generator tooling and web-hosted UIs so users can work without local installations. Available interfaces include a Shakker Generator, Online A1111 WebUI, Online ComfyUI, and options for online training to refine or build models.
Pricing
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