genmedia

name

genmedia

description

Use the genmedia CLI to search, inspect, run, and manage 1200+ fal.ai model endpoints. Trigger when the user mentions "genmedia", "fal CLI", or asks to "search models", "run a model", "fetch schema", "check pricing", "upload to fal", "queue async job", "track request", or any direct interaction with the fal.ai endpoint catalog. This is the foundational skill. Every other fal.ai-related skill in this repo executes its work through genmedia commands. Use `--json` whenever the output will be parsed by an agent.

genmedia CLI: fal.ai endpoint runner

genmedia is the agent-first CLI for fal.ai. It works in a terminal for humans (pretty output) and equally well for agents (structured JSON when piped or with --json). All other skills in this repo call genmedia for execution, they do not wrap the fal.ai HTTP API directly.

For the full command surface (every flag, every option, every example), see references/full-reference.md.

Local setup notes

• If a shell cannot find genmedia, try running commands with PATH="$HOME/.local/bin:$HOME/.genmedia/bin:$PATH".
• Keep fal credentials in genmedia setup, FAL_KEY, or a local .env; never write API keys into skill files, scripts, logs, or generated docs.
• Save generated media and JSON receipts into a local outputs/ folder unless the user names another destination.
• If the user has a local editing mini app, set its path as [YOUR_MINI_APP_DIR] and its URL as [YOUR_MINI_APP_URL]. When the user asks for images, videos, edits, variants, or anything meant to be inspected visually, run genmedia locally and import the downloaded outputs into that app if available.

Optional mini app handoff

When the user says to use genmedia for an image/video/media prompt, treat the mini app as the working surface:

1. Interpret the user's prompt and pick an appropriate fal endpoint. Search models if the endpoint is not obvious, verify the endpoint, and inspect the schema before running.
2. Run genmedia locally with --json and --download, saving media and a JSON receipt under outputs/.
3. Import the downloaded files into the mini app grid with scripts/import-to-mini-app.mjs.
4. Make sure the app is running at [YOUR_MINI_APP_URL]; restart it if needed.
5. Reply with the local app link and a short note about what was added. The goal is that the user can immediately click, preview, edit, use as a reference, generate more variants, or save the outputs as Elements.

Use this helper after a genmedia run:

node "$HOME/.codex/skills/genmedia/scripts/import-to-mini-app.mjs" \
  --app-dir "[YOUR_MINI_APP_DIR]" \
  --prompt "the user prompt" \
  --endpoint-id "fal-ai/example" \
  --model-name "Model Name" \
  --category "text-to-image" \
  --receipt "./outputs/run.json" \
  ./outputs/image_0.png

If the user asks to edit an image already in the grid, use that asset as an input/reference, run the right genmedia edit model, then import the edited result back into the same grid. If the user asks for more options, generate more variants and import them as new grid items. If the user asks to save outputs as Elements, use the mini app's Elements UI or POST to /api/elements with the imported asset IDs returned by the helper.

Critical rules

1. Always use --json when an agent will read the output. Pretty mode is for humans only.
2. Never invent endpoint IDs. Use genmedia models "<query>" to discover, genmedia models --endpoint_id <id> to verify.
3. Inspect schema before running. genmedia schema <endpoint_id> --json shows the exact field names. Guessed flags fail with 422.
4. Save files with --download, not curl. The CLI handles authentication, naming, and file format detection.
5. Use --async for long-running generation. Image work usually completes inline; video/audio/3D usually need queue + status polling.

Command index

Command	Purpose
genmedia setup	Configure API key, output mode, auto-update
genmedia models <query>	Search the catalog (or --category, or --endpoint_id)
genmedia schema <endpoint_id>	Inspect inputs/outputs (compact or --format openapi)
genmedia run <endpoint_id> --<param> <value>	Execute a model
genmedia status <endpoint_id> <request_id>	Poll an async job (with --result, --logs, --cancel, --download)
genmedia upload <path-or-url>	Upload a local file or remote URL to the fal.ai CDN
genmedia pricing <endpoint_id>	Check cost per call
genmedia docs <query>	Search fal.ai documentation
genmedia init	Install the default skill bundle into .agents/skills/ or .claude/skills/
`genmedia skills <list	install
genmedia version / genmedia update	Check or apply CLI updates

Quick patterns

Run a model and download the result

genmedia run fal-ai/flux/dev \
 --prompt "a cat on the moon" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Async + poll

SUBMIT=$(genmedia run fal-ai/veo3.1 --prompt "a dog running" --async --json)
REQ=$(echo "$SUBMIT" | jq -r '.request_id')
genmedia status fal-ai/veo3.1 "$REQ" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Upload then run

URL=$(genmedia upload ./photo.jpg --json | jq -r '.url')
genmedia run fal-ai/nano-banana-pro/edit \
 --image_urls "$URL" \
 --prompt "make the sky stormy" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Discover when the user names a fuzzy task

genmedia models "background removal product image" --json
genmedia models --category text-to-video --limit 5 --json
genmedia docs "webhook callbacks" --json

Setup (first-time only)

If genmedia is not installed:

curl https://genmedia.sh/install -fsS | bash # Linux / macOS
irm https://genmedia.sh/install.ps1 | iex # Windows PowerShell
genmedia setup --non-interactive --api-key "$FAL_KEY"

For full setup details (output modes, auto-update, .env loading) see full-reference.md.