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Team"},"license":"MIT","homepage":"https://github.com/genfireai/cli#readme","keywords":["genfire","cli","ai","video-generation","image-generation","agents"],"repository":{"type":"git","url":"git+https://github.com/genfireai/cli.git"},"description":"Command-line interface for the Genfire generative media platform","maintainers":[{"name":"artificialyou","email":"theartificialyou@gmail.com"}],"readme":"# Genfire CLI\n\nCommand-line interface for [Genfire](https://genfire.ai) — generate images, videos, speech, music, and sound effects, and run multi-step workflows from your terminal.\n\n## Install\n\nPick whichever you prefer:\n\n```bash\n# Homebrew (macOS / Linux)\nbrew install genfireai/tap/genfire\n\n# Install script (auto-installs Node if needed)\ncurl -fsSL https://raw.githubusercontent.com/genfireai/cli/main/install.sh | sh\n\n# npm (requires Node 20+)\nnpm install -g @genfire/cli\n```\n\nPin to a specific version:\n\n```bash\nbrew install genfireai/tap/genfire # always installs the latest stable\ncurl -fsSL https://raw.githubusercontent.com/genfireai/cli/main/install.sh | sh -s -- --version 0.3.5\nnpm install -g @genfire/cli@0.3.5\n```\n\nRequires Node.js 20 or newer for the npm and script paths. Homebrew installs Node automatically as a dependency.\n\n## Quick start\n\n```bash\ngenfire auth login # opens your browser to authorize the CLI\ngenfire account # confirms you're signed in, shows your credit balance\ngenfire models list # see available models\ngenfire generate image \"a neon-lit alley at dusk\" -o alley.png\n```\n\n## Use with Claude Code\n\nAfter installing the CLI, install the Genfire Skills bundle inside Claude Code:\n\n```\n/plugin marketplace add genfireai/skills\n/plugin install genfire@genfire\n```\n\nThen ask Claude in plain English — *\"generate a hero image of a neon-lit alley\"*, *\"run the hook_pack workflow with these inputs\"*, *\"what's my credit balance?\"* — and Claude runs the right `genfire` command for you. See [genfireai/skills](https://github.com/genfireai/skills) for what's bundled.\n\n## Interactive shell\n\nRun `genfire` with no arguments to drop into an interactive TUI with slash commands, autocomplete, command history, and a live job tracker:\n\n```bash\ngenfire\n```\n\nInside the shell:\n\n```\n› /login\n› /generate image \"a neon-lit alley at dusk\" -o alley.png\n› /workflow run hook_pack --inputs '{\"prompt\":\"sci-fi rooftop chase\"}'\n› /runs list\n› /usage\n› /quit\n```\n\n`/help` lists every slash command. Alongside the generation commands there are quick read commands for\n`/account`, `/credits`, `/models`, `/pricing`, `/cost`, `/jobs`, `/usage`, `/brands`, `/elements`,\n`/voices`, `/documents`, `/skills`, `/social`, `/webhooks`, `/batches`, `/music-videos`, `/reels`,\nand `/ads `.\n\nTab completes slash commands, ↑/↓ navigate history, Ctrl+C clears the input (twice to exit). The TUI auto-detects whether stdout is a terminal — when piped (e.g., `genfire | jq`), the CLI prints help instead of dropping into the TUI, so scripting still works.\n\n## Authentication\n\n`genfire auth login` opens a browser to `https://genfire.ai/cli-auth?session=...`, where you click **Approve**. The CLI exchanges a PKCE-protected code for an API key bound to your account, then stores it in your OS keychain (or `~/.config/genfire/credentials.json` with `chmod 600` if no keychain is available).\n\nFor headless / CI use, two alternatives:\n\n```bash\n# Either pass the API key once (still stored in keychain)\ngenfire auth login --api-key gfa_live_...\n\n# Or set the env var (takes precedence over stored credentials)\nexport GENFIRE_API_KEY=gfa_live_...\n```\n\nSign out and clear stored credentials:\n\n```bash\ngenfire auth logout\n```\n\n### MCP setup\n\nAfter logging in, one command configures the Genfire MCP server in your AI client — no manual key pasting:\n\n```bash\ngenfire mcp setup # Claude Code (default)\ngenfire mcp setup --client claude-desktop\ngenfire mcp setup --client cursor\n```\n\nThis reads the key from your keychain and writes the correct MCP config. Restart your client, then run `/mcp` (Claude Code) or check MCP settings to confirm the Genfire tools are connected (~100 in the default profile; the `/lite` profile exposes a trimmed set).\n\n## Commands\n\n### Generate\n\n```bash\ngenfire generate image [-m model] [-a 16:9] [-n 4] [-i ref.png] [--quality high] [--resolution 2K] [-o out.png]\ngenfire generate video [-m model] [-d 8] [-r 1080p] [-i first-frame.png] [-o out.mp4]\ngenfire generate speech --voice-id [--format mp3_44100_128] [-o speech.mp3]\ngenfire generate music [-d 30] [--instrumental] [-o track.mp3]\ngenfire generate sfx [-d 5] [--loop] [-o sfx.mp3]\ngenfire generate lipsync --video clip.mp4 --audio voice.mp3 [-o synced.mp4]\ngenfire generate transcribe [--with-timestamps]\ngenfire generate 3d --image ref.png [--rigging] [--pbr] [-o model.glb]\ngenfire generate upscale-image --image in.png [-s 4] [-o out.png]\ngenfire generate upscale-video --video in.mp4 [-s 2] [-o out.mp4]\ngenfire generate remove-bg --image in.png [-o cutout.png]\ngenfire generate upload # raw upload, prints the asset URL\n```\n\n`generate 3d` accepts `--image` up to four times — several angles of the *same* object route through the multi-image-to-3D path. Rigging, animation, and PBR each add cost; price the exact configuration with `genfire cost 3d` first.\n\nBy default every generate command waits for the run and downloads the result. Pass `--no-wait` to submit and exit, or `--no-download` to print URLs without saving files.\n\nEvery media flag (`--image`, `--video`, `--audio`) accepts either an `https://` URL or a local file path. Local files are uploaded automatically before the generation runs.\n\nModel-specific image flags:\n\n| Flag | Values | Applies to |\n|---|---|---|\n| `--quality` | `low` `medium` `high` `auto` | `image.gpt_image_2` only. Defaults to `high`. Cost multiplier: low=1×, medium=6×, high=22×. |\n| `--resolution` | `1K` `2K` `4K` | Nano Banana family edit only (`image.nano_banana`, `image.nano_banana_2`, `image.nano_banana_pro`) — supply `--image` or `@` to route through the edit path. Cost multiplier: 1K=1×, 2K=1.5×, 4K=3×. |\n\n### Cost preview\n\nEstimate the credit cost of a generation before running it:\n\n```bash\ngenfire cost image \"...\" -m image.nano_banana_2 -n 4\ngenfire cost video \"...\" -m video.veo_3_1 -d 8\ngenfire cost speech \"...\" --voice-id \ngenfire cost music \"...\" -d 30\ngenfire cost sfx \"...\" -d 5\ngenfire cost 3d [--rigging] [--pbr]\ngenfire cost lipsync --video clip.mp4 --audio voice.mp3\n```\n\n### Runs\n\n```bash\ngenfire runs list [-s completed] [-c image_generation] [-l 50]\ngenfire runs get \ngenfire runs output [-o downloads/]\n```\n\n### Batches\n\nRun up to 50 generations (or workflow executions) as one job, processed in parallel. Each item becomes its own run; one item failing doesn't stop the rest.\n\n```bash\ngenfire batch create --mode operation --target images.generations.create --items items.json -c 3 -o out/\ngenfire batch list [-s completed] [-m operation] [-l 50]\ngenfire batch get \ngenfire batch items [-o out/]\n```\n\n`--items` accepts a path to a JSON file or a literal JSON array. Each entry is either `{ \"input\": { ... } }` or a bare input object (auto-wrapped). For image batches, set `quality` per item (`low` | `medium` | `high` | `auto`) — `image.gpt_image_2` defaults to `high`, which costs 22× a `low` image, and that multiplies across every item:\n\n```json\n[\n { \"input\": { \"prompt\": \"a red fox in snow\", \"model\": \"image.gpt_image_2\", \"quality\": \"low\" } },\n { \"input\": { \"prompt\": \"a blue jay on a branch\", \"model\": \"image.gpt_image_2\", \"quality\": \"low\" } }\n]\n```\n\n`batch create` waits and polls by default (use `--no-wait` to submit and exit); completed item outputs download into `out/item-/`.\n\n### Workflows\n\nGenfire's workflow system lets you chain multiple generations into one pipeline. Use `genfire workflow` to run published workflows from the CLI:\n\n```bash\ngenfire workflow list\ngenfire workflow get hook_pack\ngenfire workflow run hook_pack --inputs vars.json -o results/\n```\n\n`--inputs` accepts either a path to a JSON file or a literal JSON string.\n\n### Influencers\n\nTrain influencer characters in the [Genfire dashboard](https://genfire.ai/dashboard/influencers), then reference them in CLI prompts with `@` to inject identity-preserving conditioning. The CLI auto-switches to the model's edit variant and adds the influencer's reference photos behind the scenes.\n\n```bash\ngenfire influencers list # show your ready influencers\ngenfire influencers get # full details\n\n# Reference an influencer in any image generation:\ngenfire generate image \"@sarah at a coffee shop\" -o sarah.png\ngenfire generate image \"...\" --influencer -o out.png # explicit alternative\n```\n\nIn the interactive shell (`genfire`), typing `@` opens a live picker — arrow keys navigate, Enter or Tab inserts the handle, Esc cancels.\n\nNotes:\n- Only influencers in `ready` status can be referenced. Train and finalize them in the dashboard first.\n- Currently one mention per request.\n- Mention support requires a model with an internal edit variant (most do — see `genfire models list`). Pass `--model` to override the default.\n\n### Models\n\n```bash\ngenfire models list [-c image_generation]\ngenfire models get \ngenfire models pricing [-c video_generation]\n```\n\n### Music videos\n\nTurn a song into a styled, scene-cut video. Bring your own track, or have one generated inline.\n\n```bash\ngenfire music-videos styles\ngenfire music-videos estimate-cost -d 180 --scene-density high --lyric-captions\ngenfire music-videos create \"\" --style --song track.mp3 [--lyric-captions] [-o video.mp4]\n\n# Generate the song inline instead of supplying one:\ngenfire music-videos create \"\" --style --song-prompt \"dreamy synthwave\" --song-duration 120000\n```\n\n`estimate-cost` prices the video stage only — an inline `--song-prompt` track is billed separately when generated. Use `--influencer-id` to keep the same character across every scene, and `--reference-image` (up to 8) to pin products or looks.\n\n### Faceless reels\n\n```bash\ngenfire faceless-reels presets # niche presets\ngenfire faceless-reels styles # visual styles\ngenfire faceless-reels music-presets\ngenfire faceless-reels caption-presets\ngenfire faceless-reels estimate-cost [-d 60]\n\ngenfire generate faceless-reel \"\" [-p preset] [-s style] [-d 60] [-o reel.mp4]\n```\n\nRecurring \"Stories\" that auto-generate on a schedule:\n\n```bash\ngenfire faceless-reels subscriptions list\ngenfire faceless-reels subscriptions create [options]\ngenfire faceless-reels subscriptions update [options]\ngenfire faceless-reels subscriptions run-now \ngenfire faceless-reels subscriptions delete \n```\n\n### Explainers\n\n```bash\ngenfire explainers styles\ngenfire explainers estimate [options]\ngenfire generate explainer \"\" [-s style] [-o explainer.mp4]\n```\n\n### Brands\n\nBuild a brand profile from a URL (logo, colors, fonts, voice, products), then use it to ground generations.\n\n```bash\ngenfire brands ingest # free; ~30–90s\ngenfire brands list\ngenfire brands get \ngenfire brands update [options]\ngenfire brands delete \ngenfire brands add-product [options]\ngenfire brands delete-product \n```\n\n### Elements\n\nReusable image elements (a product, a prop, a logo) you can name in any prompt.\n\n```bash\ngenfire elements create [options]\ngenfire elements list\ngenfire elements get \ngenfire elements delete \n```\n\n### Voices\n\n```bash\ngenfire voices list [--stock] # --stock also lists built-in ElevenLabs voices\n```\n\n### Apps and games\n\nSingle-file apps and websites, either generated from a prompt or deployed from HTML you already have.\n\n```bash\ngenfire apps create \"\" [--kind website] [--high-quality] [--asset logo.png]\ngenfire apps create \"\" --app-id # iterate on an existing app\ngenfire apps deploy -f index.html [-t \"Title\"] [--brief \"...\"]\ngenfire apps publish \ngenfire apps unpublish \n\ngenfire games create \"\"\ngenfire games publish \ngenfire games unpublish \n```\n\n`apps deploy` smoke-boots the page before it goes live: a document that throws on load is rejected with `boot_failed` rather than deployed. Fix the code and deploy again. The HTML must be one complete document (`` … ``) under 1.5MB — load large libraries from a CDN instead of inlining them.\n\n### Documents\n\nShareable HTML deliverables (reports, pages, decks) in your Drive, each with a permanent URL. Free.\n\n```bash\ngenfire documents list\ngenfire documents create --html-file report.html [-t \"Q3 Report\"] [--kind deck]\ngenfire documents append --html-file next-section.html\ngenfire documents edit --find \"old text\" --replace \"new text\"\n```\n\nLong documents compose iteratively: `create` with the opening sections, then `append` each chunk.\n\n### Skills\n\n```bash\ngenfire skills list\ngenfire skills market # browse published skills\ngenfire skills create \"\" -f SKILL.md [--category ops] [--publish]\ngenfire skills show <skillId>\ngenfire skills publish <skillId>\ngenfire skills unpublish <skillId>\ngenfire skills install <publishedId>\n```\n\n`--attach <path...>` bundles extra files alongside the SKILL.md body.\n\n### Social publishing\n\n```bash\ngenfire social accounts # lists the target refs to post to\ngenfire social post -t tiktok:<accountId> --video clip.mp4 -c \"caption\"\ngenfire social post -t youtube:<accountId> --reel-id <reelId> --title \"Title\"\ngenfire social post -t linkedin:<accountId> -c \"text-only post\"\ngenfire social post -t instagram:<accountId> --image a.png --schedule 2026-09-01T14:00:00Z\n\ngenfire social lookup /v1/tiktok/profile -p handle=someone\n```\n\n`social accounts` prints a `target` for each connected account — pass those to `--target`. Provide exactly one source per post (`--reel-id`, `--video`, or `--image`); a bare `--caption` publishes a text post on the platforms that support it. `social lookup` is free read-only access to public platform data (profiles, posts, transcripts, trends).\n\n### Ad research\n\n```bash\ngenfire ads search -q \"<brand>\" # or --mode niche for a category\ngenfire ads search -q \"<brand>\" --platform meta --cursor <next_cursor>\ngenfire ads analyze --page-id <id> --ad-id <id>\ngenfire ads get <researchId>\n```\n\n`days_running` is the performance proxy — 45+ days (marked ✓) means the ad is proven. `analyze` extracts the reusable *format* and returns a `research_id` you can pass as `reference_ad_research_id` to the `ugc_ad_video` workflow; wording and assets are never copied.\n\n### Usage\n\n```bash\ngenfire usage # last 30 days, grouped by model\ngenfire usage -g capability\ngenfire usage -g day -s 2026-08-01 -e 2026-08-11\ngenfire usage -c video_generation\n```\n\n### Webhooks\n\nReceive `run.completed`, `run.failed`, `batch.completed`, and `batch.failed` events.\n\n```bash\ngenfire webhooks list\ngenfire webhooks create <url> [-e run.completed,run.failed] [-d \"prod handler\"]\ngenfire webhooks update <endpointId> [--status disabled] [--events ...] [--url ...]\ngenfire webhooks delete <endpointId>\ngenfire webhooks deliveries [-e <endpointId>] [-n 50]\ngenfire webhooks replay <deliveryId>\n```\n\n`webhooks create` returns the signing secret exactly once — save it when you see it. Afterwards only a preview is available.\n\n## Global flags\n\nThese work on every command:\n\n| Flag | Effect |\n|---|---|\n| `--json` | Print machine-readable JSON to stdout instead of pretty output |\n| `--no-color` | Disable ANSI color in pretty output |\n| `--no-wait` | (generation/workflow commands) Submit the run and exit immediately, instead of polling |\n| `--wait-timeout <duration>` | Maximum poll time, e.g. `30m`, `600s` |\n| `--wait-interval <duration>` | Polling interval, e.g. `2s`, `500ms` |\n| `--no-download` | (generation/workflow commands) Don't download outputs locally; print URLs only |\n\n## Scripting\n\nThe CLI is designed to compose with shell tools:\n\n```bash\n# Generate 10 variants from a CSV of prompts, save URLs to a file\nwhile IFS= read -r prompt; do\n genfire generate image \"$prompt\" --json --no-download \\\n | jq -r '.run.output.images[0].url'\ndone < prompts.csv > image_urls.txt\n\n# Get the most recent completed video and play it\nrunId=$(genfire runs list --status completed --capability video_generation --limit 1 --json | jq -r '.data[0].id')\ngenfire runs output \"$runId\" -o ./latest.mp4\nopen ./latest.mp4\n```\n\n## Configuration\n\nPersistent settings live at `~/.config/genfire/config.json` (or `%APPDATA%\\genfire\\config.json` on Windows). Override the API base URL with `GENFIRE_API_BASE_URL` for local development.\n\n## Troubleshooting\n\nIf a command fails, the CLI prints a structured error like:\n\n```\nAPI error 401 (authentication_required): A Bearer token is required for this endpoint.\n```\n\nThe first parenthetical (`authentication_required`) is the stable error code. The list below maps the most common ones to their fix.\n\n| Error code | What it means | Fix |\n|---|---|---|\n| `authentication_required` | No API key found, or the key was rejected | Run `genfire auth login`. If you set `GENFIRE_API_KEY`, confirm the value matches a current key on your developer page. |\n| `invalid_api_key` | The stored key was revoked or rotated | `genfire auth logout && genfire auth login` |\n| `cli_session_expired` | Browser approval took longer than 10 minutes | `genfire auth login` again |\n| `cli_session_pending` | You haven't clicked Approve in the browser yet | Click Approve at the URL the CLI printed |\n| `invalid_model` | The model id you passed isn't recognized | `genfire models list` (or `genfire models list -c image_generation`) to see valid ids |\n| `insufficient_credits` | Your balance is too low for this run | `genfire credits` to check balance, top up at https://genfire.ai/dashboard/credits |\n| `invalid_prompt` | Prompt was empty or malformed | Provide a non-empty prompt as a positional argument |\n| `invalid_count` | Image count is outside `1..4` | Use `-n 1` through `-n 4` |\n| `invalid_aspect_ratio` | Aspect ratio not supported by this model | `genfire models get <id>` to see supported ratios |\n| `upload_too_large` | File exceeds 5GB | Compress, trim, or split the source file |\n| `invalid_size_bytes` | Upload size header is wrong | Re-run; usually transient |\n| `cli_session_consumed` | Login session was already exchanged | `genfire auth login` to start a fresh session |\n| `wait_timeout` | The poll loop hit `--wait-timeout` before the run finished | The run is still going on the server. Check it with `genfire runs get <id>`. Increase `--wait-timeout 30m` next time. |\n| `download_failed` | Output URL was unreachable | Re-run `genfire runs output <id> -o <path>` to retry the download. Run is unaffected. |\n| `invalid_inputs` | Workflow `--inputs` JSON didn't parse or wasn't an object | Check the workflow's expected schema with `genfire workflow get <id>` |\n| `unknown_model` | Cost preview can't find pricing for that model | `genfire models pricing` to see priced models |\n| `not_authenticated` | (TUI only) You ran a slash command before `/login` | Run `/login` first |\n| `auth_denied` | You clicked Deny in the browser | Run `genfire auth login` again to retry |\n\nIf a generation **submitted but failed**, the run still has an id — `genfire runs get <id>` will print the underlying provider error. Common provider errors:\n\n- `content_policy_violation` — the prompt was rejected by the model's safety filter. Rephrase and re-run.\n- `provider_timeout` — the upstream model took too long. Safe to re-run; you'll only be charged once thanks to idempotency keys.\n\n### Reporting bugs\n\nWhen filing an issue at [genfireai/cli](https://github.com/genfireai/cli/issues), include:\n\n1. The exact command you ran (redact any prompts containing private content)\n2. The full error output\n3. The output of `genfire --version`\n4. Your OS and Node version (`node --version`)\n5. Whether you're using the keychain (default) or `GENFIRE_DISABLE_KEYTAR=1`\n\n### Common environment problems\n\n- **`zsh: command not found: genfire`** — the global install didn't add `genfire` to your PATH. Check `npm config get prefix` and confirm its `bin/` is on your `$PATH`. The fix is usually `export PATH=\"$(npm config get prefix)/bin:$PATH\"` in your shell rc file.\n- **Browser doesn't open during `auth login`** — pass `--no-browser` and copy the URL manually. Common in SSH sessions, WSL2, and some sandboxed environments.\n- **OS keychain unavailable** — on Linux without `libsecret-tools` installed, the CLI falls back to a chmod-600 file at `~/.config/genfire/credentials.json`. To install the keychain: `apt install libsecret-1-dev` (Debian/Ubuntu) or equivalent.\n\n## License\n\nMIT — see [LICENSE](./LICENSE).\n","readmeFilename":"README.md"}