wavespeed

name	wavespeed
description	Generate or edit AI media (image, video, audio, 3D) by calling the wavespeed CLI on the user's machine. Use whenever the user asks to create, edit, animate, upscale, or transform a visual asset, generate audio/TTS/music, or produce marketing creatives. Every model on the WaveSpeed platform is one `wavespeed run <id>` call.

WaveSpeed

You have access to the wavespeed CLI. Every generation flows through one verb. There are no image / video shortcuts; the model id is always explicit.

The three-step pattern

# 1. FIND a model — search the live catalog
wavespeed models "nano banana"
wavespeed models --type image-to-video --popular

# 2. INSPECT its inputs — dynamic schema, per model
wavespeed run google/nano-banana-2/text-to-image -h

# 3. RUN it — always pass --json so you can read the result
wavespeed run google/nano-banana-2/text-to-image \
  -p "a cyberpunk skyline at golden hour" \
  -i aspect_ratio="16:9" -i resolution="2k" --json

run --json returns { model, prompt, outputs: [url, ...], saved: [path, ...], elapsed_ms, raw }. Use the URL when the user wants a link. Add --download if they need bytes on disk.

Recommended defaults

Use case	Model
Text → image	google/nano-banana-2/text-to-image
Image edit (instruction-driven)	google/nano-banana-2/edit — requires images: [url, ...]
Text → video	bytedance/seedance-2.0/text-to-video
Image → video	bytedance/seedance-2.0/image-to-video — requires image: url

These are good starting points. Browse alternatives with wavespeed models <query>.

Common recipes

# Edit an existing image — upload first, then pass the URL
URL=$(wavespeed upload ./input.jpg --json | jq -r .url)
wavespeed run google/nano-banana-2/edit \
  -p "replace the background with a sunlit kitchen" \
  -i images="[\"$URL\"]" --json

# Image-to-video — same pattern
URL=$(wavespeed upload ./hero.jpg --json | jq -r .url)
wavespeed run bytedance/seedance-2.0/image-to-video \
  -p "subtle parallax, gentle wind" \
  -i image="$URL" -i duration=5 --json

# Save outputs locally with a template
wavespeed run ... -p "..." --download "./out/{index}.{ext}"

Project config and aliases

If wavespeed.json exists (created by wavespeed init):

• defaultModel — lets wavespeed run -p "…" (no model arg) work.
• Aliases — named shortcuts that bundle model + default inputs. Run wavespeed aliases to see what's defined. wavespeed run <alias> -h shows the resolved schema. CLI -i k=v overrides alias defaults.

The CLI never modifies the user's prompt or inputs. What you typed is what hits the API.

Auth

wavespeed status shows whether the user is signed in. If not, ask them to run wavespeed login (opens https://wavespeed.ai/accesskey). Never ask the user to paste an API key into the chat — the CLI handles it.

Pitfalls

• Local file paths don't auto-upload — call wavespeed upload first to get a CDN URL.
• Don't invent model IDs. Always confirm via wavespeed models or wavespeed schema <id> before running.
• Use --json on every run so you can read outputs[0] programmatically.