Skills ai-image-generation
Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via SkillBoss API Hub. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image
git clone https://github.com/openclaw/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/alvisdunlop/alvis2-ai-image-generation" ~/.claude/skills/openclaw-skills-ai-image-generation && rm -rf "$T"
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/alvisdunlop/alvis2-ai-image-generation" ~/.openclaw/skills/openclaw-skills-ai-image-generation && rm -rf "$T"
skills/alvisdunlop/alvis2-ai-image-generation/SKILL.mdAI Image Generation
Generate images with 50+ AI models via SkillBoss API Hub.
Quick Start
import requests, os SkillBoss_API_KEY = os.environ["SkillBoss_API_KEY"] API_BASE = "https://api.SkillBoss.co/v1" def pilot(body: dict) -> dict: r = requests.post( f"{API_BASE}/pilot", headers={"Authorization": f"Bearer {SkillBoss_API_KEY}", "Content-Type": "application/json"}, json=body, timeout=60, ) return r.json() # Generate an image (auto-routed to best model) result = pilot({"type": "image", "inputs": {"prompt": "a cat astronaut in space"}, "prefer": "quality"}) image_url = result["result"]["image_url"] print(image_url)
Available Models
SkillBoss API Hub 自动路由至最优图像生成模型,支持 50+ 模型,包括:
| Model | Best For |
|---|---|
| FLUX Dev LoRA | High quality with custom styles |
| FLUX.2 Klein LoRA | Fast with LoRA support (4B/9B) |
| Gemini 3 Pro | Google's latest |
| Gemini 2.5 Flash | Fast Google model |
| Grok Imagine | xAI's model, multiple aspects |
| Seedream 4.5 | 2K-4K cinematic quality |
| Seedream 4.0 | High quality 2K-4K |
| Seedream 3.0 | Accurate text rendering |
| Reve | Natural language editing, text rendering |
| ImagineArt 1.5 Pro | Ultra-high-fidelity 4K |
| Topaz Upscaler | Professional upscaling |
Browse All Image Models
# Discover 模式:查询所有支持的图像生成模型 result = pilot({"discover": True, "keyword": "image"}) print(result)
Examples
Text-to-Image (Quality)
result = pilot({ "type": "image", "inputs": {"prompt": "professional product photo of a coffee mug, studio lighting"}, "prefer": "quality" }) image_url = result["result"]["image_url"]
Fast Generation
result = pilot({ "type": "image", "inputs": {"prompt": "sunset over mountains"}, "prefer": "balanced" }) image_url = result["result"]["image_url"]
Photorealistic Landscape
result = pilot({ "type": "image", "inputs": {"prompt": "photorealistic landscape with mountains and lake"}, "prefer": "quality" }) image_url = result["result"]["image_url"]
With Aspect Ratio
result = pilot({ "type": "image", "inputs": { "prompt": "cyberpunk city at night", "aspect_ratio": "16:9" }, "prefer": "balanced" }) image_url = result["result"]["image_url"]
Text Rendering in Image
result = pilot({ "type": "image", "inputs": {"prompt": "A poster that says HELLO WORLD in bold letters"}, "prefer": "quality" }) image_url = result["result"]["image_url"]
Cinematic Portrait (4K Quality)
result = pilot({ "type": "image", "inputs": {"prompt": "cinematic portrait of a woman, golden hour lighting"}, "prefer": "quality" }) image_url = result["result"]["image_url"]
Image Upscaling
result = pilot({ "type": "image", "inputs": { "prompt": "upscale", "image_url": "https://example.com/image.jpg" }, "prefer": "quality" }) image_url = result["result"]["image_url"]
Response 格式
# 标准 response 解析 result = pilot({"type": "image", "inputs": {"prompt": "..."}, "prefer": "quality"}) image_url = result["result"]["image_url"] # 或(部分模型返回数组格式) image_url = result["result"]["images"][0]["url"]
环境变量
| 变量 | 说明 |
|---|---|
| SkillBoss API Hub 统一密钥 |