Slicy Docs
The reference for the Slicy AI canvas — node types, workflows, and the model-cost system.
Slicy Docs
Slicy is an AI canvas for building image and video assets. You wire prompt nodes into model nodes, see live cost before each run, and chain outputs into refinement steps without leaving the canvas.
Start here
Getting started
Log in, drop a prompt node, and generate your first image in under two minutes.
Node types
Prompt nodes, image input, model nodes, refine, save — what each does and how they connect.
Model menu
fal Nano Banana Pro, OpenAI gpt-image, Recraft v4, Google Imagen, and more — with live per-run cost.
Pricing & credits
How credits work, what each tier includes, top-up rules, and the 20 % vendor markup baked into per-run costs.
What Slicy is good for
- Marketing & e-commerce assets — product shots on white, variant grids, ad crops, layout-safe banners.
- Iteration over single-shot generation — connect prompt nodes to multiple model nodes and compare outputs side-by-side on one canvas.
- Composition workflows — cutouts, alpha matting, background swaps, copy overlays — all in one place.
- Cost-transparent generation — every model node shows the per-run cost before you click Run.
What Slicy is not
- A general-purpose chat AI (use ChatGPT or Claude for that).
- A code generator (use Cursor or Claude Code).
- A photo editor in the Photoshop sense — Slicy generates and refines via AI, not via pixel-level brush tools.
Help & feedback
- Email: hello@slicy.ai
- Status: status.slicy.ai (coming soon)
- This documentation is also machine-readable — see
/llms.txtand/llms-full.txtif you're building an agent that needs to ground answers in Slicy reference docs.