corespeed-studio

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name: corespeed-studio description: Generate video, images, audio, and music using 40+ AI models via fal.ai. Use for video generation (Kling v3, Sora 2, Veo 3.1, LTX 2.3, Pixverse v5), image generation (Nano Banana 2, FLUX 2 Pro/Schnell, GPT Image 1.5, Qwen Image 2 Pro, Recraft V4, Seedream 5), text-to-speech (MiniMax Speech-02 HD), music/sound effects (Beatoven), and utilities (Topaz upscale, background removal, lipsync). Use when a user asks to create videos, generate images, produce voiceovers, create music/sound effects, upscale media, remove backgrounds, or combine multiple AI media models in a single workflow. metadata: { "openclaw": { "emoji": "🎬", "requires": { "bins": ["uv"], "env": ["FAL_KEY"] }, "install": [ { "id": "uv-pip", "kind": "shell", "command": "pip install uv || pip3 install uv", "bins": ["uv"], "label": "Install uv via pip (https://github.com/astral-sh/uv)", }, ], }, }

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Corespeed Art — Multi-Model AI Media via fal.ai

Auth: Set FAL_KEY with your fal.ai API key (get one at https://fal.ai/dashboard/keys).

Workflow

1. Pick a model from the tables below 2. Read its reference file to get the exact endpoint and parameters 3. Run the command with the endpoint and JSON parameters

Usage

uv run {baseDir}/scripts/fal.py ENDPOINT --json '{"param":"value"}' -f output.ext [-i input.ext]

ENDPOINT — the fal.ai model path from the reference file (e.g. fal-ai/nano-banana-2)

--json — model parameters as JSON object

-f — output filename

-i — input file(s) to upload (repeat for multiple), auto-injected as image_url/image_urls/start_image_url/video_url

--audio — audio input file (for lipsync)

Image Generation

| Model | Best For | Reference | |-------|----------|-----------| | Nano Banana 2 | Pro quality, web search, thinking | Read nanobanana.md | | FLUX 2 Pro | Photorealistic, zero-config | Read flux.md | | FLUX Schnell | ⚡ Fastest iteration | Read flux.md | | FLUX Pro v1.1 | Accelerated, commercial use | Read flux.md | | FLUX.1 Dev | 12B params, fine-tuning friendly | Read flux.md | | GPT Image 1.5 | Transparent bg, instruction following | Read gpt.md | | Qwen Image 2 Pro | Chinese+English, typography, native 2K | Read qwen.md | | Recraft V4 Pro | Design/marketing, color control | Read recraft.md | | Seedream 5 Lite | Multi-image editing, reasoning | Read seedream.md |

Video Generation

| Model | Best For | Reference | |-------|----------|-----------| | Kling v3 Pro I2V | Best I2V, multi-shot, audio, 3–15s | Read kling.md | | Sora 2 T2V | Long video up to 20s, characters | Read sora.md | | Sora 2 I2V | Image→video with Sora | Read sora.md | | Veo 3.1 T2V | Cinematic + native audio/dialogue | Read veo.md | | Veo 3.1 I2V | Image→video with audio | Read veo.md | | LTX 2.3 T2V Fast | ⚡ Fast, up to 2160p/20s, open source | Read ltx.md | | LTX 2.3 I2V | Image→video, start+end frame | Read ltx.md | | Pixverse v5 I2V | Anime, 3D, clay, cyberpunk styles | Read pixverse.md |

Audio / TTS

| Model | Best For | Reference | |-------|----------|-----------| | MiniMax Speech-02 HD | 30+ languages, loudness normalization | Read minimax-speech.md |

Music & Sound Effects

| Model | Best For | Reference | |-------|----------|-----------| | Beatoven Music | AI music, up to 90s | Read beatoven-music.md |

Utilities

| Tool | Best For | Reference | |------|----------|-----------| | Topaz Upscale | AI image/video upscale 2x–4x | Read topaz.md | | BRIA RMBG | Professional background removal | Read bria-rmbg.md | | Sync Lipsync | Audio-driven lip sync on video | Read sync-lipsync.md |

Notes

No manual Python setup required. The script uses PEP 723 inline metadata. uv run automatically creates an isolated virtual environment and installs the fal-client dependency on first run.

fal.ai uses a queue system — the script polls until generation completes.

Video generation can take 30s–3min.

Use timestamps in filenames: yyyy-mm-dd-hh-mm-ss-name.ext.

Script prints MEDIA: line for OpenClaw to auto-attach.

Do not read generated media back; report the saved path only.

Support

Built by Corespeed. If you need help or run into issues:

💬 Discord: discord.gg/mAfhakVRnJ

🐦 X/Twitter: @CoreSpeed_io

🐙 GitHub: github.com/corespeed-io/skills

uv run {baseDir}/scripts/fal.py ENDPOINT --json '{"param":"value"}' -f output.ext [-i input.ext]

ENDPOINT — the fal.ai model path from the reference file (e.g. fal-ai/nano-banana-2)

--json — model parameters as JSON object

-f — output filename

-i — input file(s) to upload (repeat for multiple), auto-injected as image_url/image_urls/start_image_url/video_url

--audio — audio input file (for lipsync)

No manual Python setup required. The script uses PEP 723 inline metadata. uv run automatically creates an isolated virtual environment and installs the fal-client dependency on first run.

fal.ai uses a queue system — the script polls until generation completes.

Video generation can take 30s–3min.

Use timestamps in filenames: yyyy-mm-dd-hh-mm-ss-name.ext.

Script prints MEDIA: line for OpenClaw to auto-attach.

Do not read generated media back; report the saved path only.