Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
Generate videos via LTX-2.3 API (ltx.video). An agent skill from LeoYeAI/openclaw-master-skills.
Install Ltx Video
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ltx-video .claude/skills/ltx-video && rm -rf skills-srcUse ~/.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/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .claude/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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 install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-videoType 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ltx-video .agents/skills/ltx-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .agents/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ltx-video .cursor/skills/ltx-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .cursor/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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 https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/ltx-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ltx-video .gemini/skills/ltx-video && rm -rf skills-srcUse ~/.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/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .gemini/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-videoInstalls 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).
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ltx-video .github/skills/ltx-video && rm -rf skills-srcUse ~/.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/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .github/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ltx-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ltx-video .opencode/skills/ltx-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ltx-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/ltx-video into .opencode/skills/ltx-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ltx-video", 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
ltx-video- GitHub stars
- 2.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 458 words
- Files
- 2
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate videos via LTX-2.3 API (ltx.video). An agent skill from LeoYeAI/openclaw-master-skills.
- Works in 7 steps: Use Verbs, Not Nouns → Block the Scene Like a Director → Describe Audio Explicitly (for… → …
- : generating AI video from text/image/audio
- SKILL.md covers API Reference, Quick Examples, ⚠️ Critical Rules (learned… and Prompting Guide (LTX-2.3), plus 2 more sections
- Calls curl, python3 and ffmpeg; reaches api.ltx.video and uguu.se; needs LTX_API_KEY and API_KEY
What it does
Ltx Video is an agent skill from LeoYeAI/openclaw-master-skills. Generate videos via LTX-2.3 API (ltx.video). Supports text-to-video, image-to-video, audio-to-video (lip-sync from audio + image), extend, and retake. Use when: generating AI video from text/image/audio, animating a portrait, creating lip-sync video from an existing image + audio recording.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.
It sits in Media & Creative, covering AI video generation. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
- : generating AI video from text/image/audio
- Animating a portrait
- Creating lip-sync video from an existing image + audio recording
Example prompts
- “/ltx-video”
Requirements
- Python 3
- A credential in API_KEY
- A credential in LTX_API_KEY
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. 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
Shell commands in SKILL.md call:
curlpython3ffmpeggit
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.ltx.videouguu.segithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LTX_API_KEYAPI_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ltx Video loads about 1.6k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 458 words of instructions outside code blocks.
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:194
Paul's key: stored in `~/clawd/.env` as `LTX_API_KEY`
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 458 words, ~1,648 tokens.
Download SKILL.mdSave it as
.claude/skills/ltx-video/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ltx-video
- description
- Generate videos via LTX-2.3 API (ltx.video). Supports text-to-video, image-to-video, audio-to-video (lip-sync from audio + image), extend, and retake. Use when: generating AI video from text/image/audio, animating a portrait, creating lip-sync video from an existing image + audio recording.
LTX-2.3 Video API
API Reference
Base URL: https://api.ltx.video/v1
Auth: Authorization: Bearer <API_KEY>
Response: MP4 binary (direct download, no polling)
Endpoints
| Endpoint | Input | Use |
|---|---|---|
/v1/text-to-video | prompt | Generate video from text |
/v1/image-to-video | image_uri + prompt | Animate a still image |
/v1/audio-to-video | audio_uri + image_uri + prompt | Lip-sync video from audio + image |
/v1/extend | video_uri + prompt | Extend a video at start or end |
/v1/retake | video_uri + time range | Regenerate a section of a video |
Models
| Model | Speed | Quality |
|---|---|---|
ltx-2-3-fast | ~17s | Good (use for tests) |
ltx-2-3-pro | ~30-60s | Best (use for final) |
Supported Resolutions
1920x1080(landscape 16:9)1080x1920(portrait 9:16 — native vertical, trained on vertical data)1440x1080,4096x2160(text-to-video only)
audio-to-video only supports: 1920x1080 or 1080x1920
Quick Examples
Text to Video
curl -X POST "https://api.ltx.video/v1/text-to-video" \
-H "Authorization: Bearer $LTX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A man in a navy blue suit sits at a luxury restaurant table...",
"model": "ltx-2-3-pro",
"duration": 8,
"resolution": "1920x1080"
}' -o output.mp4Audio to Video (Lip-sync)
curl -X POST "https://api.ltx.video/v1/audio-to-video" \
-H "Authorization: Bearer $LTX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio_uri": "https://example.com/voice.mp3",
"image_uri": "https://example.com/portrait.jpg",
"prompt": "A man speaks directly to camera...",
"model": "ltx-2-3-pro",
"resolution": "1920x1080"
}' -o output.mp4Python Wrapper
import requests
def ltx_audio_to_video(audio_url, image_url, prompt, api_key,
model="ltx-2-3-pro", resolution="1920x1080",
output_path="output.mp4"):
r = requests.post(
"https://api.ltx.video/v1/audio-to-video",
headers={"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"},
json={"audio_uri": audio_url, "image_uri": image_url,
"prompt": prompt, "model": model, "resolution": resolution},
timeout=300, stream=True
)
if r.status_code != 200:
raise RuntimeError(f"LTX error {r.status_code}: {r.text}")
with open(output_path, "wb") as f:
for chunk in r.iter_content(8192): f.write(chunk)
return output_path⚠️ Critical Rules (learned from experience)
File Hosting
- URLs must be HTTPS — HTTP is rejected
- Files must return correct MIME type (not
application/octet-stream) - uguu.se works: upload with
curl -F "files[]=@file.mp3" https://uguu.se/upload - Audio: upload as MP3 (not WAV) → uguu returns
audio/mpeg✅ - 4K images fail → resize to 1920x1080 before uploading
# Upload MP3 to uguu.se
AUDIO_URL=$(curl -s -F "files[]=@audio.mp3" "https://uguu.se/upload" | \
python3 -c "import sys,json; print(json.load(sys.stdin)['files'][0]['url'])")
# Upload image
IMAGE_URL=$(curl -s -F "files[]=@portrait.jpg" "https://uguu.se/upload" | \
python3 -c "import sys,json; print(json.load(sys.stdin)['files'][0]['url'])")Image Size Limit
# Resize large images before upload
ffmpeg -y -i input_4k.png -vf "scale=1920:1080" output_1080.jpgFace Consistency
- Avoid prompts where the character looks down — breaks face consistency
- Keep head level and gaze forward throughout
- Place objects already in frame instead of having character reach below frame
Last Frame
- LTX does not support first+last frame natively
- Workaround: generate clip A, generate clip B, then use
/v1/extendto chain them
Prompting Guide (LTX-2.3)
LTX-2.3 has a much stronger text connector. Specificity wins.
1. Use Verbs, Not Nouns
❌ "A dramatic portrait of a man standing"
✅ "A man stands on a rooftop. His coat flaps in the wind. He adjusts his collar and steps forward as the camera tracks right."
Show full SKILL.md (191 more words)Show less
2. Block the Scene Like a Director
- Specify left vs right, foreground vs background
- Describe who moves, what moves, how they move, what the camera does
- Spatial relationships are now respected
3. Describe Audio Explicitly (for text-to-video)
- Name the type of sound: dialogue, ambient, music
- Specify tone and intensity
- Example:
"His voice is clear and warm. Restaurant ambient sound softly in the background."
4. Avoid Static Photo-Like Prompts
- If the prompt reads like a still image → the output behaves like one
- Add wind, motion, breathing, gestures, camera movement
5. Describe Texture and Material
- Hair, fabric, surface finish, lighting fall-off
"Individual hair strands visible in the backlight"→ now renders correctly
6. Portrait (9:16) Native
resolution: "1080x1920"→ trained on vertical data- Frame for vertical intentionally, don't treat as cropped landscape
7. Complex Shots Work Now
- Layer multiple actions:
"He picks up the banana, raises it to his ear, and smirks" - Combine character performance + environment + camera motion
Lip-Sync Prompt Template
A [description of person] sits/stands [location]. He/she speaks directly
to camera, lips moving in perfect sync with his/her voice. [Gesture details].
Head stays level and gaze remains locked on camera throughout.
[Environment description softly blurred in background].
[Lighting]. [Camera: holds steady at eye level, front-on].ComfyUI Node
Custom nodes for ComfyUI (no manual API calls):
cd ComfyUI/custom_nodes
git clone https://github.com/PauldeLavallaz/comfyui-ltx-nodeNodes: LTX Text to Video, LTX Image to Video, LTX Extend Video
Category: LTX Video
API Key
Paul's key: stored in ~/clawd/.env as LTX_API_KEY
ltxv_RfSU5hdKJb_g5dwbECZWnilE1P8dJzbavz6niP_0LQJ942ARHIVhrBCfebcytEL1efLVx_63S_PJyWTzicrBcWEkOXfCbGTl8JSzlJJk329MwRViEgOoE2KnE9LIA5t6QSFeBy7DLnTIcX0AZNbV9Jv0TuC7qcq2gV33G6ROhUVUDCuN© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/ltx-video of LeoYeAI/openclaw-master-skills.
- SKILL.md
- LICENSE.txt
Open the folder on GitHubat commit e5199b5
Compare with similar skills
Ltx Video 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ltx Video this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~1.6k | Automated safety check: Notes | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Ltx Video
What does Ltx Video do?
Generate videos via LTX-2.3 API (ltx.video). An agent skill from LeoYeAI/openclaw-master-skills. Ltx Video is an agent skill from LeoYeAI/openclaw-master-skills.video).
When should I use Ltx Video?
Ltx Video fits situations like: : generating AI video from text/image/audio; animating a portrait; creating lip-sync video from an existing image + audio recording.
How do I install Ltx Video in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a claude-code`. Or copy the skill folder (skills/ltx-video in LeoYeAI/openclaw-master-skills) into .claude/skills/ltx-video in your project. Claude Code loads it when a task matches its description.
How do I install Ltx Video in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ltx-video -a codex`. Or copy the skill folder (skills/ltx-video in LeoYeAI/openclaw-master-skills) into .agents/skills/ltx-video in your project. Codex loads it when a task matches its description.
Can I use Ltx Video 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 LeoYeAI/openclaw-master-skills --skill ltx-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ltx-video, .gemini/skills/ltx-video, .github/skills/ltx-video and .opencode/skills/ltx-video in your project.
What does Ltx Video need to run?
Going by SKILL.md and its folder, Ltx Video needs the command-line tools its instructions call (curl, python3, ffmpeg and git) and credentials named LTX_API_KEY and API_KEY. Our summary lists: Python 3; A credential in API_KEY; A credential in LTX_API_KEY.
Does Ltx Video access the network?
SKILL.md names 3 domains. In commands or code: api.ltx.video, uguu.se and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Ltx Video 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. Review the folder before installing.
What licence does Ltx Video use?
Ltx Video is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ltx Video use?
About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ltx Video?
Skills that share tags, products or a category with Ltx Video: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ltx Video?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.