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corespeed-studio
by
Zypher Agent
· GitHub ↗
· v1.0.0
· MIT-0
147
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Install in OpenClaw
/install 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 ge...
README (SKILL.md)
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
- Pick a model from the tables below
- Read its reference file to get the exact endpoint and parameters
- 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 asimage_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 runautomatically creates an isolated virtual environment and installs thefal-clientdependency 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
Usage Guidance
This skill appears to do what it says: it will use your FAL_KEY to call fal.ai, upload any local input files you pass, and download generated media to disk. Before installing or running it, ensure you: (1) only provide a fal.ai API key you control and understand the billing/permissions tied to it; (2) avoid uploading sensitive local files (they will be transmitted to fal.ai); (3) review the 'uv' package provenance before pip-installing it or run the script inside an isolated environment; (4) be aware the script will fetch output URLs and save them locally (network fetches could reach external hosts returned by fal.ai); and (5) monitor your fal.ai usage to avoid unexpected costs. If you need stronger guarantees, request that the skill author provide a signed package or host the runner in a sandboxed environment.
Capability Analysis
Type: OpenClaw Skill
Name: corespeed-studio
Version: 1.0.0
The skill bundle provides a comprehensive and well-structured interface for generating AI media (images, video, audio) via the fal.ai API. The core logic in `scripts/fal.py` uses the official `fal-client` library to handle file uploads, poll for results, and download generated media to the local system. The documentation in `SKILL.md` and the `references/` directory is extensive, providing clear schemas and examples for over 40 models. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the script's behavior is entirely consistent with its stated purpose.
Capability Assessment
Purpose & Capability
Name/description (multi-model media via fal.ai) matches requirements and artifacts: the script calls fal_client, needs FAL_KEY, and the SKILL.md lists many fal.ai model endpoints. Requesting the 'uv' runner and FAL_KEY is appropriate for this functionality.
Instruction Scope
The SKILL.md and script restrict actions to interacting with fal.ai. The script uploads any local input files (via fal_client.upload_file) and downloads output URLs (urllib.request.urlretrieve). These are expected for a media generation tool, but users should note that local files are transmitted to fal.ai and output URLs are fetched from the network and saved to disk; the script also prints 'MEDIA:' lines for automatic attachment.
Install Mechanism
No registry install spec; the skill is instruction-only with one script file. SKILL.md includes an optional install step (pip install uv). That is a normal package installation method (uv is a known runner). There are no downloads from untrusted hosts or extract/install of arbitrary archives in the repository.
Credentials
Only FAL_KEY is required and used. No additional unrelated secrets/config paths are requested. The script checks only FAL_KEY and does not read other environment variables or system credentials.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or system-wide agent configuration. It writes generated media to disk (expected behavior) but does not persist credentials or enable itself automatically.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install corespeed-studio - After installation, invoke the skill by name or use
/corespeed-studio - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of corespeed-studio — multi-model AI media generator via fal.ai.
- Supports video, image, audio, and music generation using 40+ fal.ai models.
- Easy command-line workflow with isolated environment and automatic dependency setup.
- Includes video generation (Kling, Sora, Veo, LTX, Pixverse), image generation (Nano Banana, FLUX, GPT Image, Recraft), text-to-speech, AI music, upscaling, background removal, and lipsync.
- Tables describe best use per model and link to reference files for parameters.
- No manual Python setup required; outputs ready-to-use media files.
Metadata
Frequently Asked Questions
What is corespeed-studio?
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 ge... It is an AI Agent Skill for Claude Code / OpenClaw, with 147 downloads so far.
How do I install corespeed-studio?
Run "/install corespeed-studio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is corespeed-studio free?
Yes, corespeed-studio is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does corespeed-studio support?
corespeed-studio is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created corespeed-studio?
It is built and maintained by Zypher Agent (@zypher-agent); the current version is v1.0.0.
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