According to AlphaMoat, as of 2026-09, SiliconFlow 多模态服务,支持图片生成(FLUX/Qwen)、视频生成(Wan)、TTS语音合成、ASR语音识别。使用代金券支付。 has 3,433 downloads and 4 stars — ranked #3,243 of 5,078 AI skills overall, and #300 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 44 | 1.6K | 3 | - |
| SkillHub ↗ | 701 | 3.4K | 4 | — |
Platforms count differently and update at different times.
It covers image generation, video generation, speech synthesis and speech recognition, with FLUX or Qwen for images and separate text-to-video and image-to-video routes. Calls go through the bundled scripts run with uv, passing the prompt, filename and model as arguments.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.4K | — | 4 |
| 2026-08 | 2.8K | +4.8% | 4 |
| 2026-07 | 2.7K | +9.7% | 4 |
| 2026-06 | 2.4K | +9.4% | 3 |
| 2026-05 | 2.2K | — | 3 |
| 2026-03 | 1.2K | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: siliconflow-media
description: SiliconFlow 多模态服务,支持图片生成(FLUX/Qwen)、视频生成(Wan)、TTS语音合成、ASR语音识别。使用代金券支付。
metadata:
openclaw:
emoji: "🚀"
requires:
env:
- SILICONFLOW_API_KEY
primaryEnv: SILICONFLOW_API_KEY---
# SiliconFlow 媒体服务
SiliconFlow 提供丰富的 AI 模型服务,支持代金券支付(当前余额 3000+)。
## 环境变量
- `SILICONFLOW_API_KEY` - SiliconFlow API Key
## 🎨 图片生成
```bash
uv run {baseDir}/scripts/image_gen.py --prompt "描述" --filename "output.png" [--model MODEL]
```
**可用模型**:
| 参数 | 模型 | 说明 |
|------|------|------|
| `flux` (默认) | FLUX.1-schnell | 快速高质量,约 5-10 秒 |
| `flux-dev` | FLUX.1-dev | 开发版 |
| `flux-pro` | FLUX.1-pro | 专业版 |
| `qwen` | Qwen/Qwen-Image | 通义图片生成 |
| `qwen-edit` | Qwen/Qwen-Image-Edit | 图片编辑 |
| `qwen-edit-2509` | Qwen/Qwen-Image-Edit-2509 | 最新编辑版 |
**示例**:
```bash
# FLUX 快速生成
uv run {baseDir}/scripts/image_gen.py --prompt "a cute robot assistant" --filename "robot.png"
# Qwen 生成
uv run {baseDir}/scripts/image_gen.py --prompt "山水画" --filename "landscape.png" --model qwen
```
## 🎬 视频生成
```bash
# 文生视频
uv run {baseDir}/scripts/video_gen.py --prompt "描述" --filename "output.mp4"
# 图生视频
uv run {baseDir}/scripts/video_gen.py --prompt "描述" --image "input.png" --filename "output.mp4"
```
**模型**:
- 文生视频: `Wan-AI/Wan2.2-T2V-A14B`
- 图生视频: `Wan-AI/Wan2.2-I2V-A14B`
⚠️ 视频生成时间较长(约 2-5 分钟)
## 🎤 语音合成 (TTS)
```bash
uv run {baseDir}/scripts/tts.py --text "要合成的文字" --filename "output.mp3" [--model MODEL]
```
**可用模型**:
| 参数 | 模型 | 说明 |
|------|------|------|
| `fish-speech` (默认) | fish-speech-1.5 | Fish Audio 高质量 |
| `cosyvoice` | CosyVoice2-0.5B | 阿里语音克隆 |
| `indextts` | IndexTTS-2 | Index TTS |
| `moss` | MOSS-TTSD-v0.5 | MOSS 多语言 |
**示例**:
```bash
uv run {baseDir}/scripts/tts.py --text "你好世界" --filename "hello.mp3"
```
## 👂 语音识别 (ASR)
```bash
uv run {baseDir}/scripts/asr.py --audio "input.mp3" [--model MODEL]
```
**可用模型**:
| 参数 | 模型 | 说明 |
|------|------|------|
| `sensevoice` (默认) | SenseVoiceSmall | 阿里语音识别 |
| `teleai` | TeleSpeechASR | TeleAI 识别 |
**示例**:
```bash
uv run {baseDir}/scripts/asr.py --audio "recording.mp3"
```
## 注意事项
1. ✅ 费用从代金券扣除,无需额外付费
2. ⏱️ 图片生成约 5-10 秒
3. ⏱️ 视频生成约 2-5 分钟(耐心等待)
4. 📝 所有脚本会打印 `MEDIA:` 行用于自动附加文件
ContextWeave one-shot architecture diagram generation
A script-based skill that generates or edits images with Nano Banana Pro.
Runs the whisper command line to transcribe audio locally.
A skill that generates and edits diagrams through an MCP server.
Design intelligence and implementation guidance for polished interfaces, from layout and flows to tokens and frontend changes.
An AI video generation and orchestration skill across several model APIs.
Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.