Agent skill

Fal AI

by mikeOnBreeze in mikeOnBreeze/cc-crossbeam

This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API.

Install Fal AI

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/fal-ai .claude/skills/fal-ai && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .claude/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/fal-ai .agents/skills/fal-ai && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .agents/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/fal-ai .cursor/skills/fal-ai && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .cursor/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mikeOnBreeze/cc-crossbeam.git --path .claude/skills/fal-ai

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/fal-ai .gemini/skills/fal-ai && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .gemini/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/fal-ai .github/skills/fal-ai && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .github/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mikeOnBreeze/cc-crossbeam fal-ai --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeam.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/fal-ai .opencode/skills/fal-ai && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "fal-ai" agent skill from https://github.com/mikeOnBreeze/cc-crossbeam/tree/main/.claude/skills/fal-ai into .opencode/skills/fal-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: fal-ai
GitHub stars: 293
Token cost: ~1.9k tokens
SKILL.md length: 566 words
Files: 7 (incl. scripts, references)
Skills in repo: 20
Repo updated: Mar 2, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API.

Works in 3 steps: Iterate with cheap models (Wan/Kling) -… → Test with Veo Fast - Verify quality… → Final render with Veo Standard - Premium…
The user asks to
SKILL.md covers Prerequisites, Primary Capability:…, Model Selection Strategy and Quick Model Reference (January…, plus 5 more sections
Runs Python scripts from its folder; calls python and pip; needs FAL_API_KEY

What it does

Fal AI is an agent skill from mikeOnBreeze/cc-crossbeam. This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API. Use this skill when the user asks to (1) generate videos from images (image-to-video), or (2) generate voiceovers/narration from text (text-to-speech via ElevenLabs). Works seamlessly with the nano-banana skill for image-to-video workflows. IMPORTANT: Check references/ for latest models and pricing - AI models change frequently.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `env.md`, `references/api_reference.md` and `references/tts_reference.md`).

It sits in Media & Creative, covering Text to speech and voice and AI video generation. It works with fal, Google Gemini and ElevenLabs. The repository describes itself as: CrossBeam Permits — AI-assisted building-permit plan review for cities and builders. The licence is MIT.

When your agent uses it

The user asks to
Generate videos from images (image-to-video)
Generate voiceovers/narration from text (text-to-speech via ElevenLabs)

Example prompts

“/fal-ai”

Requirements

Python 3
A credential in FAL_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Iterate with cheap models (Wan/Kling) - Perfect your prompts at $0.05-0.07/sec
Test with Veo Fast - Verify quality improvement at $0.15/sec
Final render with Veo Standard - Premium output at $0.40/sec

What it can do on your machine

Read from SKILL.md and the folder at commit cc5591e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- fal.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- FAL_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fal AI loads about 1.9k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 566 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~112
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:16

quires a `FAL_API_KEY` in the project's `.env` or `.env.local` file:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mikeOnBreeze/cc-crossbeam at commit cc5591e, republished under its MIT licence (© mikeOnBreeze). 566 words, ~1,896 tokens.

Download SKILL.mdSave it as .claude/skills/fal-ai/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: fal-ai
description: This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API. Use this skill when the user asks to (1) generate videos from images (image-to-video), or (2) generate voiceovers/narration from text (text-to-speech via ElevenLabs). Works seamlessly with the nano-banana skill for image-to-video workflows. IMPORTANT: Check references/ for latest models and pricing - AI models change frequently.

Fal.ai Media Generation

Generate AI videos from images and AI voiceovers from text using Fal.ai's API.

Capabilities:

Image-to-Video: Generate video clips from static images (see below)
Text-to-Speech: Generate voiceovers using ElevenLabs voices (see TTS section)

Prerequisites

This skill requires a FAL_API_KEY in the project's .env or .env.local file:

env

FAL_API_KEY=your_api_key_here

To obtain an API key, visit: https://fal.ai/dashboard/keys

Primary Capability: Image-to-Video

Generate video clips from static images using scripts/image_to_video.py:

bash

python scripts/image_to_video.py image.png \
  --prompt "camera slowly pans right, gentle motion"

Parameters:

image (required): Path to input image or URL
--prompt, -p: Motion/action description for the video
--model, -m: Video model to use (default: kling)
--output, -o: Output directory or file path (default: current directory)
--duration, -d: Video duration in seconds (model-dependent, typically 5-10)

Model Selection Strategy

Video generation is expensive. Follow this workflow:

Iterate with cheap models (Wan/Kling) - Perfect your prompts at $0.05-0.07/sec
Test with Veo Fast - Verify quality improvement at $0.15/sec
Final render with Veo Standard - Premium output at $0.40/sec

Quick Model Reference (January 2026)

Flag	Model	Price/sec	5-sec Cost	Best For
`wan`	Wan 2.5	$0.05	$0.25	Cheapest iteration
`kling`	Kling 2.5 Turbo Pro	$0.07	$0.35	Best value (default)
`veo-fast`	Veo 3.1 Fast	$0.15	$0.75	Quality test
`veo`	Veo 3.1 Standard	$0.40	$2.00	Premium final

For detailed model comparison, strengths/weaknesses, and latest updates, see references/api_reference.md.

Usage Examples

Basic video generation (default Kling model):

bash

python scripts/image_to_video.py photo.png \
  --prompt "gentle breeze moves the leaves, soft lighting"

Budget iteration with Wan:

bash

python scripts/image_to_video.py photo.png \
  --prompt "camera zooms in slowly" \
  --model wan

Premium render with Veo:

bash

python scripts/image_to_video.py photo.png \
  --prompt "cinematic dolly shot, dramatic lighting" \
  --model veo \
  --output final_video.mp4

Specify duration:

bash

python scripts/image_to_video.py photo.png \
  --prompt "waves crash on the shore" \
  --duration 10

Workflow with Nano Banana

Generate an image, then create a video from it:

bash

# Step 1: Generate image with Nano Banana
python .claude/skills/nano-banana/scripts/generate_image.py \
  "a serene Japanese garden with cherry blossoms" \
  --output garden.png

# Step 2: Iterate with Kling (default, $0.35 for 5 sec)
python skills/fal-ai/scripts/image_to_video.py \
  garden.png \
  --prompt "gentle breeze moves cherry blossom petals, camera slowly pans right"

# Step 3: Final render with Veo when satisfied ($2.00 for 5 sec)
python skills/fal-ai/scripts/image_to_video.py \
  garden.png \
  --prompt "gentle breeze moves cherry blossom petals, camera slowly pans right" \
  --model veo

Text-to-Speech Voiceovers

Generate AI voiceovers using ElevenLabs voices via scripts/text_to_speech.py:

bash

python scripts/text_to_speech.py "Your text here" --voice george

Parameters:

text (required): Text to convert to speech
--voice, -v: Voice name (see casting guide below)
--model, -m: TTS model (default: eleven-v3)
--output, -o: Output directory or file path
--stability: Emotion control 0-1 (lower = more emotion)
--similarity: Voice matching 0-1
--style: Expression exaggeration 0-1
--speed: Speaking pace 0.7-1.2
--list-voices: Show all available voices

TTS Model Reference (January 2026)

Flag	Model	Price/1K chars	Best For
`eleven-v3`	ElevenLabs Eleven v3	$0.10	Latest, audio tags `[whispers]` etc.
`turbo`	ElevenLabs Turbo v2.5	$0.05	Fast iteration, low latency
`multilingual`	Multilingual v2	$0.10	Best stability

Show full SKILL.md (231 more words)Show less

Voice Casting Quick Reference

When the user describes what they're looking for, match to these voices:

Female Voices:

Voice	Best For
`rachel`	Narration, explainers, tutorials (calm, warm)
`aria`	Conversational, podcasts (engaging, social)
`sarah`	Corporate, professional (clear, neutral)
`laura`	Marketing, launches (upbeat, energetic)
`charlotte`	Premium brands (British, elegant)
`lily`	Wellness, calm content (soft, gentle)

Male Voices:

Voice	Best For
`george`	Documentaries, serious narration (British, authoritative)
`charlie`	Casual explainers (natural, relaxed)
`roger`	Trailers, announcements (deep, commanding)
`eric`	News-style, corporate (professional, clear)
`chris`	Brand voices, ads (warm, trustworthy)
`brian`	Educational, history (mature, wise)

For full casting descriptions and parameter presets, see references/tts_reference.md.

TTS Usage Examples

Basic voiceover:

bash

python scripts/text_to_speech.py "Welcome to our product demo." --voice george

Voice casting (run multiple to compare):

bash

TEXT="Introducing the future of productivity."
python scripts/text_to_speech.py "$TEXT" --voice george -o casting_george.mp3
python scripts/text_to_speech.py "$TEXT" --voice eric -o casting_eric.mp3
python scripts/text_to_speech.py "$TEXT" --voice chris -o casting_chris.mp3

Documentary style (authoritative, slower):

bash

python scripts/text_to_speech.py "In the depths of the ocean..." \
  --voice george --stability 0.65 --speed 0.95

Conversational style (more emotion):

bash

python scripts/text_to_speech.py "Hey, check this out!" \
  --voice aria --stability 0.4 --style 0.3

With audio tags (eleven-v3 only):

bash

python scripts/text_to_speech.py "[whispers] This is a secret..." --voice rachel

Resources

scripts/

image_to_video.py - Image-to-video generation script
text_to_speech.py - Text-to-speech voiceover script
requirements.txt - Python dependencies (install with pip install -r requirements.txt)

references/

api_reference.md - Video model comparison, pricing, best practices
tts_reference.md - Voice casting guide, parameter presets, TTS best practices

Notes

Models evolve rapidly: Check reference docs dates. If >1 month old, research latest models on Fal.ai before generating
Video is expensive: Always be aware of costs. Iterate cheap, render expensive.
TTS is cheap: Run voice casting calls (~$0.02 for 3 samples) before committing to full narration
Queue-based API: Generation takes time. Scripts show progress updates.
Output formats: Videos = MP4, Audio = MP3
Duration limits: Video models typically support 5-10 seconds. Check api_reference.md.

Files

SKILL.md and 6 other files (scripts, references) in .claude/skills/fal-ai of mikeOnBreeze/cc-crossbeam.

SKILL.md
env.md
references/api_reference.md
references/tts_reference.md
scripts/image_to_video.py
scripts/requirements.txt
scripts/text_to_speech.py

Open the folder on GitHubat commit cc5591e

Compare with similar skills

Fal AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fal AI compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Fal AI this skillmikeOnBreeze/cc-crossbeam	293	—	~1.9k	Automated safety check: Notes	MIT	7 mo ago
Fal AI Mediaaffaan-m/ECC	277k	4 repos	~1.9k	Automated safety check: Pass	MIT	today
Super Video MakerBomx/super-video-maker-skill	310	—	~11k	Automated safety check: Notes	None	2 mo ago
Hearyourvoicekillernay/HearYourVOICE	140	—	~10k	Automated safety check: Notes	MIT	2 mo ago
AI Video Gencalesthio/OpenMontage	66k	—	~3k	Automated safety check: Pass	AGPL-3.0	7 days ago
AI Video Gencalesthio/OpenMontage	66k	—	~2.8k	Automated safety check: Pass	AGPL-3.0	7 days ago

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Questions about Fal AI

What does Fal AI do?

This skill enables AI video generation from images AND text-to-speech voiceover generation using Fal.ai's API. Fal AI is an agent skill from mikeOnBreeze/cc-crossbeam.ai's API.

When should I use Fal AI?

Fal AI fits situations like: the user asks to; generate videos from images (image-to-video); generate voiceovers/narration from text (text-to-speech via ElevenLabs).

How do I install Fal AI in Claude Code?

Run `npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a claude-code`. Or copy the skill folder (.claude/skills/fal-ai in mikeOnBreeze/cc-crossbeam) into .claude/skills/fal-ai in your project. Claude Code loads it when a task matches its description.

How do I install Fal AI in Codex?

Run `npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a codex`. Or copy the skill folder (.claude/skills/fal-ai in mikeOnBreeze/cc-crossbeam) into .agents/skills/fal-ai in your project. Codex loads it when a task matches its description.

Can I use Fal AI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikeOnBreeze/cc-crossbeam --skill fal-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fal-ai, .gemini/skills/fal-ai, .github/skills/fal-ai and .opencode/skills/fal-ai in your project.

What does Fal AI need to run?

Going by SKILL.md and its folder, Fal AI needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named FAL_API_KEY. Our summary lists: Python 3; A credential in FAL_API_KEY.

Does Fal AI access the network?

SKILL.md names 1 domain. As links in the text: fal.ai. This is read from the text; nothing was executed.

Is Fal AI safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Fal AI use?

Fal AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fal AI use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Fal AI?

Skills that share tags, products or a category with Fal AI: Fal AI Media (affaan-m/ECC, 277k stars), Super Video Maker (Bomx/super-video-maker-skill, 310 stars), Hearyourvoice (killernay/HearYourVOICE, 140 stars) and AI Video Gen (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fal AI?

mikeOnBreeze (a GitHub user) maintains it in mikeOnBreeze/cc-crossbeam, which has 293 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on March 2, 2026.

Source: mikeOnBreeze/cc-crossbeam on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Fal AI

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Fal.ai Media Generation

Prerequisites

Primary Capability: Image-to-Video

Model Selection Strategy

Quick Model Reference (January 2026)

Usage Examples

Workflow with Nano Banana

Text-to-Speech Voiceovers

TTS Model Reference (January 2026)

Voice Casting Quick Reference

TTS Usage Examples

Resources

scripts/

references/

Notes

Files

Compare with similar skills

Similar skills

More from mikeOnBreeze/cc-crossbeam

Related

Questions about Fal AI