Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Venice AI Media
Generate, edit, and upscale images; create videos from images via Venice AI. Supports text-to-image, image-to-video (Sora, WAN), upscaling, and AI editing.
skill openclawclawhub Free
Generate, edit, and upscale images; create videos from images via Venice AI. Supports text-to-image, image-to-video (Sora, WAN), upscaling, and AI editing.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/venice_common.py, scripts/venice-upscale.py, scripts/venice-edit.py, scripts/venice-video.py, scripts/venice-image.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- nhannah
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Venice AI Media
Generate images and videos using Venice AI APIs. Venice is an uncensored AI platform with competitive pricing.
Prerequisites
Python 3.10+ (brew install python or system Python) Venice API key (free tier available) requests library (auto-installed by scripts if missing)
1. Get Your API Key
Create account at venice.ai Go to venice.ai/settings/api Click "Create API Key" Copy the key (starts with vn_...)
2. Configure the Key
Option A: Environment variable export VENICE_API_KEY="vn_your_key_here" Option B: Clawdbot config (recommended - persists across sessions) Add to ~/.clawdbot/clawdbot.json: { skills: { entries: { "venice-ai-media": { env: { VENICE_API_KEY: "vn_your_key_here", }, }, }, }, }
3. Verify Setup
python3 {baseDir}/scripts/venice-image.py --list-models If you see a list of models, you're ready!
Pricing Overview
FeatureCostImage generation~$0.01-0.03 per imageImage upscale~$0.02-0.04Image edit$0.04Video (WAN)~$0.10-0.50 depending on durationVideo (Sora)~$0.50-2.00 depending on duration Use --quote with video commands to check pricing before generation.
Quick Start
# Generate an image python3 {baseDir}/scripts/venice-image.py --prompt "a serene canal in Venice at sunset" # Upscale an image python3 {baseDir}/scripts/venice-upscale.py photo.jpg --scale 2 # Edit an image with AI python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "add sunglasses" # Create a video from an image python3 {baseDir}/scripts/venice-video.py --image photo.jpg --prompt "gentle camera pan" --duration 5s
Image Generation
python3 {baseDir}/scripts/venice-image.py --prompt "a serene canal in Venice at sunset" python3 {baseDir}/scripts/venice-image.py --prompt "cyberpunk city" --count 4 python3 {baseDir}/scripts/venice-image.py --prompt "portrait" --width 768 --height 1024 python3 {baseDir}/scripts/venice-image.py --prompt "abstract art" --out-dir /tmp/venice python3 {baseDir}/scripts/venice-image.py --list-models python3 {baseDir}/scripts/venice-image.py --list-styles python3 {baseDir}/scripts/venice-image.py --prompt "fantasy" --model flux-2-pro --no-validate python3 {baseDir}/scripts/venice-image.py --prompt "photo" --style-preset "Cinematic" --embed-exif Key flags: --prompt, --model (default: flux-2-max), --count (uses efficient batch API for same prompt), --width, --height, --format (webp/png/jpeg), --resolution (1K/2K/4K), --aspect-ratio, --negative-prompt, --style-preset (use --list-styles to see options), --cfg-scale (prompt adherence 0-20, default 7.5), --seed (for reproducible results), --safe-mode (disabled by default for uncensored output), --hide-watermark (only use if explicitly requested - watermark supports Venice), --embed-exif (embed prompt in image metadata), --lora-strength (0-100 for applicable models), --steps (inference steps, model-dependent), --enable-web-search, --no-validate (skip model check for new/beta models)
Image Upscale
python3 {baseDir}/scripts/venice-upscale.py photo.jpg --scale 2 python3 {baseDir}/scripts/venice-upscale.py photo.jpg --scale 4 --enhance python3 {baseDir}/scripts/venice-upscale.py photo.jpg --enhance --enhance-prompt "sharpen details" python3 {baseDir}/scripts/venice-upscale.py --url "https://example.com/image.jpg" --scale 2 Key flags: --scale (1-4, default: 2), --enhance (AI enhancement), --enhance-prompt, --enhance-creativity (0.0-1.0), --replication (0.0-1.0, preserves lines/noise, default: 0.35), --url (use URL instead of local file), --output, --out-dir
Image Edit
python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "add sunglasses" python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "change the sky to sunset" python3 {baseDir}/scripts/venice-edit.py photo.jpg --prompt "remove the person in background" python3 {baseDir}/scripts/venice-edit.py --url "https://example.com/image.jpg" --prompt "colorize" Key flags: --prompt (required - AI interprets what to modify), --url (use URL instead of local file), --output, --out-dir Note: The edit endpoint uses the Qwen-Image model which has some content restrictions (unlike other Venice endpoints).
Video Generation
# Get price quote first (no generation) python3 {baseDir}/scripts/venice-video.py --quote --model wan-2.6-image-to-video --duration 10s --resolution 720p # Image-to-video (WAN 2.6 - default) python3 {baseDir}/scripts/venice-video.py --image photo.jpg --prompt "camera pans slowly" --duration 10s # Image-to-video (Sora) python3 {baseDir}/scripts/venice-video.py --image photo.jpg --prompt "cinematic" \ --model sora-2-image-to-video --duration 8s --aspect-ratio 16:9 --skip-audio-param # List models (shows available durations per model) python3 {baseDir}/scripts/venice-video.py --list-models # Clean up a video downloaded with --no-delete python3 {baseDir}/scripts/venice-video.py --complete <queue_id> --model <model> Key flags: --image (required for generation), --prompt (required for generation), --model (default: wan-2.6-image-to-video), --duration (model-dependent, see --list-models), --resolution (480p/720p/1080p), --aspect-ratio, --audio/--no-audio, --skip-audio-param, --quote (price estimate), --timeout, --poll-interval, --no-delete (keep server media), --complete (cleanup previously downloaded video), --no-validate (skip model check) Progress: During generation, the script shows estimated progress based on Venice's average execution time.
Model Notes
Use --list-models to see current availability and status. Models change frequently. Image: Default is flux-2-max. Common options include flux, gpt-image, and nano-banana variants. Video: WAN models: Image-to-video, configurable audio, various durations (5s-21s) Sora models: Requires --aspect-ratio, use --skip-audio-param Tips: Use --no-validate for new or beta models not yet in the model list Use --quote for video to check pricing before generation Safe mode is disabled by default (Venice is an uncensored API)
Output
Scripts print a MEDIA: /path/to/file line for Clawdbot auto-attach. Tip: Use --out-dir /tmp/venice-$(date +%s) when generating media to send via iMessage (ensures accessibility across user accounts).
Troubleshooting
"VENICE_API_KEY not set" Check your config in ~/.clawdbot/clawdbot.json Or export the env var: export VENICE_API_KEY="vn_..." "Invalid API key" Verify your key at venice.ai/settings/api Keys start with vn_ "Model not found" Run --list-models to see available models Use --no-validate for new/beta models Video stuck/timeout Videos can take 1-5 minutes depending on model and duration Use --timeout 600 for longer videos Check Venice status at venice.ai "requests" module not found Install it: pip3 install requests
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/venice_common.py
- scripts/venice-edit.py
- scripts/venice-image.py
- scripts/venice-upscale.py
- scripts/venice-video.py