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Generate images via SiliconFlow API (OpenAI compatible). Uses Qwen/Qwen-Image model.
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Basé sur la classification professionnelle SOC
🧠 ontology-clawra v5.1 - Local Ontology Reasoning & Learning Engine **USE THIS SKILL WHENEVER** you need structured reasoning, knowledge graph management, logical inference, or learning from interactions. This is your go-to tool for: - Building and querying ontology knowledge graphs (concepts, entities, relationships) - Performing confidence-based reasoning with evidence tracking - Recording insights and patterns from completed tasks - Local memory search and knowledge retrieval **Key Use Cases:** - Before making complex decisions: "Let me use ontology-clawra to reason about this" - After completing tasks: "Record this learning to ontology-clawra" - Building domain expertise: "Create concepts for [domain] in ontology-clawra" - Analyzing patterns: "Query ontology-clawra for similar past cases" **Core Capabilities:** ✅ Local ontology storage in `~/.openclaw/skills/ontology-clawra/memory/` ✅ Confidence calculation (CONFIRMED/ASSUMED/SPECULATIVE) ✅ Learning from user confirmations ✅ Local memory search (no ne
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| name | openai-image-gen-siliconflow |
| description | Generate images via SiliconFlow API (OpenAI compatible). Uses Qwen/Qwen-Image model. |
| metadata | {"openclaw":{"emoji":"🖼️","requires":{"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY"}} |
使用 SiliconFlow API 生成图片，支持 Qwen/Qwen-Image 模型。
export OPENAI_API_KEY="your-siliconflow-api-key"
# base URL 已默认配置
必须用 python3.12+，不能用系统默认的 python3（macOS 默认是 3.9）
原因：gen.py 使用了 str | None 类型注解语法（Python 3.10+ 才支持），在 3.9 上会报错：
TypeError: unsupported operand type(s) for |: 'types.GenericAlias' and 'NoneType'
Qwen/Qwen-Image 模型用 image_size 而不是 sizequality 参数gpt-image-1（OpenAI），需显式指定 --model "Qwen/Qwen-Image"/images/generations（不是 /image_generation）OPENAI_API_KEY="sk-..." python3.12 {baseDir}/gen.py \
--model "Qwen/Qwen-Image" \
--prompt "描述" \
--count 1 \
--out-dir /tmp/output
import requests
api_key = "sk-..." # SiliconFlow key
r = requests.post(
"https://api.siliconflow.cn/v1/images/generations",
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
json={"model": "Qwen/Qwen-Image", "prompt": "test", "image_size": "1024x1024", "n": 1}
)
print(r.json()) # 成功返回 {"images": [{"url": "..."}]}
--model: 模型名称（必须填 Qwen/Qwen-Image）--prompt: 图片描述--count: 生成数量--size/--image_size: 尺寸（Qwen 模型用 image_size）a beautiful Chinese woman, 28 years old, elegant makeup, stunning appearance,
taking a mirror selfie, wearing stylish outfit, realistic photo style, soft lighting
注意：Qwen-Image 模型生成的风格是"规矩流动"型，和 MiniMax 风格不同。人物一致性不如专业模型，但真实感较好。
OPENAI_API_KEY=sk-cyfunmsszjrqumckweykgkjojjfbclilbbochdvprfezqgcw
SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1
| 问题 | 原因 | 解决方案 |
|---|---|---|
401 Invalid token | endpoint 路径写错 | 用 /images/generations 不是 /image_generation |
TypeError: unsupported operand | Mac python3 是 3.9 | 必须用 python3.12 |
| 生成图片糊/不像 | prompt 没加 realistic photo style | 显式指定风格关键词 |