据 AlphaMoat 统计,截至 2026-09,Venice AI Media 累计下载 3,377 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 3,331 位,在「设计创意」分类(512 个)中排名第 308 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 107 | 3,184 | 6 | - |
| SkillHub ↗ | 431 | 3,377 | 6 | — |
各平台的计数口径不同,统计时间不一致。
Python脚本需要VENICE_API_KEY与requests,可设置模型、提示词和输出位置,视频通过队列等待结果。模型可用性与参数需查询,编辑端点存在内容限制,生成完成后仍需检查媒体文件。 保护 VENICE_API_KEY,不要放进提示词或日志。URL 图片输入可能访问内部或私有资源并转发给 Venice;优先使用本地文件或可信公开 URL。敏感提示词不要写入 EXIF。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,377 | — | 6 |
| 2026-08 | 3,097 | +2.4% | 6 |
| 2026-07 | 3,025 | +8.1% | 6 |
| 2026-06 | 2,798 | -0.9% | 6 |
| 2026-05 | 2,823 | — | 6 |
| 2026-03 | 2,554 | — | 6 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: venice-ai-media
description: 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.
homepage: https://venice.ai
metadata:
{
"clawdbot":
{
"emoji": "🎨",
"requires": { "bins": ["python3"], "env": ["VENICE_API_KEY"] }, "primaryEnv": "VENICE_API_KEY",
"notes": "Requires Python 3.10+",
"install":
[
{
"id": "python-brew",
"kind": "brew",
"formula": "python",
"bins": ["python3"],
"label": "Install Python (brew)",
},
],
},
}
---
# 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)
## Setup
### 1. Get Your API Key
1. Create account at [venice.ai](https://venice.ai)
2. Go to [venice.ai/settings/api](https://venice.ai/settings/api)
3. Click "Create API Key"
4. Copy the key (starts with `vn_...`)
### 2. Configure the Key
**Option A: Environment variable**
```bash
export VENICE_API_KEY="vn_your_key_here"
```
**Option B: Clawdbot config** (recommended - persists across sessions)
Add to `~/.clawdbot/clawdbot.json`:
```json5
{
skills: {
entries: {
"venice-ai-media": {
env: {
VENICE_API_KEY: "vn_your_key_here",
},
},
},
},
}
```
### 3. Verify Setup
```bash
python3 {baseDir}/scripts/venice-image.py --list-models
```
If you see a list of models, you're ready!
## Pricing Overview
| Feature | Cost |
| ---------------- | --------------------------------- |
| Image generation | ~$0.01-0.03 per image |
| Image upscale | ~$0.02-0.04 |
| Image edit | $0.04 |
| Video (WAN) | ~$0.10-0.50 depending on duration |
| Video (Sora) | ~$0.50-2.00 depending on duration |
Use `--quote` with video commands to check pricing before generation.
## Quick Start
```bash
# 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
```bash
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
```bash
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
```bash
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
```bash
# 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](https://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](https://venice.ai)
**"requests" module not found**
- Install it: `pip3 install requests`
ContextWeave 架构图一键生成
用 Nano Banana Pro 生成或编辑图片的脚本技能。
用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
通过 MCP 服务生成与编辑图表的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
面向多家视频模型 API 的 AI 视频生成与编排技能。
用 ffmpeg 从视频里取出画面帧,或生成便于快速查看的缩略图。
用本地 Whisper 把音频文件转成文字,模型下载完成后可完全离线运行。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。