Neil

Venice AI Media

設計創意v1.0.2
作者:Neil更新於 2026-05-11共 3 個版本 · 最新版本釋出於 2026-02-05venice-ai-media@clawhub_nhannah/venice-ai-media
圖片生成圖片編輯影片處理

據 AlphaMoat 統計,截至 2026-09,Venice AI Media 累計下載 3,377 次、獲 6 個星標,在全部 5,078 個 AI 技能中排名第 3,331 位,在「設計創意」分類(512 個)中排名第 308 位。

累計安裝
431
累計下載
3377
星標
6
全站排名
#3,331
全站前 66% · 「設計創意」前 61%
平台累計安裝累計下載星標評論
ClawHub ↗10731846-
SkillHub ↗43133776—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

Python指令碼需要VENICE_API_KEY與requests,可設定模型、提示詞和輸出位置,影片透過佇列等待結果。模型可用性與引數需查詢,編輯端點存在內容限制,生成完成後仍需檢查媒體檔案。 保護 VENICE_API_KEY,不要放入提示詞或日誌。URL 圖片輸入可能存取內部或私人資源並轉送至 Venice;優先使用本機檔案或可信的公開 URL。敏感提示詞不要寫入 EXIF。

資料釋出於 2026-10-27

可以用來做什麼

  • 準備圖片編輯與圖生影片任務

什麼時候用

  • 已有提示詞或參考圖並具備Venice API認證時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

列出這張圖的編輯和影片生成引數,先核對模型與認證,再決定執行。

月度資料趨勢

累計下載3377
2488296634432026-03 · 累計下載 25542026-05 · 累計下載 28232026-06 · 累計下載 27982026-07 · 累計下載 30252026-08 · 累計下載 30972026-09 · 累計下載 337726-0326-09
星標6
5672026-03 · 星標 62026-05 · 星標 62026-06 · 星標 62026-07 · 星標 62026-08 · 星標 62026-09 · 星標 626-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-093377—6
2026-083097+2.4%6
2026-073025+8.1%6
2026-062798-0.9%6
2026-052823—6
2026-032554—6

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。

8.0 KB · ClawHub v1.0.2
---
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"] },
展開全部(共 222 行)
        "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`

「設計創意」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。