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venice-ai-media威尼斯 AI 媒体

Agent Skill

venice-ai-media 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

78,050

周安装

3,127

GitHub Stars

6

下载量

25,266
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:venice-ai-media(威尼斯 AI 媒体)
来源仓库:https://github.com/nhannah/venice-ai-media
安装命令:
openclaw skills install venice-ai-media
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install venice-ai-media

简介

生成、编辑和升级图像;通过 Venice AI 从图像创建视频。支持文本转图像、图像转视频(Sora、WAN)、放大和AI编辑。

SKILL.md

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

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
  2. Go to venice.ai/settings/api
  3. Click "Create API Key"
  4. 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

FeatureCost
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

# 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"

"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

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.25%
按下载量换算21,792

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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