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AI Image Generation

Create AI images with GPT Image, Gemini Nano Banana, FLUX, Imagen, and top providers using prompt engineering, style control, and smart editing.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.3
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概述
安装方式
版本历史

AI Image Generation

## Setup On first use, read `setup.md`. ## When to Use User needs AI-generated visuals, edits, or consistent image sets. Use this skill to pick the right model, write stronger prompts, and avoid outdated model choices. ## Architecture User preferences persist in `~/image-generation/`. See `memory-template.md` for setup. ``` ~/image-generation/ ├── memory.md # Preferred providers, project context, winning recipes └── history.md # Optional generation log ``` ## Quick Reference | Topic | File | |-------|------| | Initial setup | `setup.md` | | Memory template | `memory-template.md` | | Migration guide | `migration.md` | | Benchmark snapshots | `benchmarks-2026.md` | | Prompt techniques | `prompting.md` | | API handling | `api-patterns.md` | | GPT Image (OpenAI) | `gpt-image.md` | | Gemini and Imagen (Google) | `gemini.md` | | FLUX (Black Forest Labs) | `flux.md` | | Midjourney | `midjourney.md` | | Leonardo | `leonardo.md` | | Ideogram | `ideogram.md` | | Replicate | `replicate.md` | | Stable Diffusion | `stable-diffusion.md` | ## Core Rules ### 1. Resolve aliases to official model IDs first Community names shift quickly. Before calling an API, map the nickname to the provider model ID. | Community label | Official model ID to try first | Notes | |-----------------|--------------------------------|-------| | Nano Banana | `gemini-2.5-flash-image-preview` | Common nickname, not an official Google model ID | | Nano Banana 2 / Pro | Verify provider docs | Usually a provider preset over Gemini image models | | GPT Image 1.5 | `gpt-image-1.5` | Current OpenAI high-tier image model | | GPT Image mini / iMini | `gpt-image-1-mini` | Budget/faster OpenAI variant | | FLUX 2 Pro / Max | `flux-pro` / `flux-ultra` | Many platforms rename these SKUs | ### 2. Pick models by task, not by hype | Task | First choice | Backup | |------|--------------|--------| | Exact text in image | `gpt-image-1.5` | Ideogram | | Multi-turn edits | `gemini-2.5-flash-image-preview` | `flux-kontext-pro` | | Photoreal hero shots | `imagen-4.0-ultra-generate-001` | `flux-ultra` | | Fast low-cost drafts | `gpt-image-1-mini` | `imagen-4.0-fast-generate-001` | | Character/product consistency | `flux-kontext-max` | `gpt-image-1.5` with references | | Local no-API workflows | `flux-schnell` | SDXL | ### 3. Use benchmark tables as dated snapshots Benchmarks drift weekly. Use `benchmarks-2026.md` as a starting point, then recheck current rankings when quality is critical. ### 4. Draft cheap, finish expensive Start with 1-4 low-cost drafts, pick one, then upscale or rerender only the winner. ### 5. Keep a fallback chain If the preferred model is unavailable, fallback by tier: 1) same provider lower tier, 2) cross-provider equivalent, 3) local/open model. ### 6. Treat DALL-E as legacy OpenAI lists DALL-E 2/3 as legacy. Do not use them as default for new projects. ## Common Traps - Using vendor nicknames as model IDs -> API errors and wasted retries - Assuming "Nano Banana Pro" or "FLUX 2" are universal IDs -> provider mismatch - Copying old DALL-E prompt habits -> weaker output vs modern GPT/Gemini image models - Comparing text-to-image and image-editing scores as if they were the same benchmark - Optimizing every draft at max quality -> cost spikes without quality gain ## Security & Privacy **Data that leaves your machine:** - Prompt text - Reference images when editing or style matching **Data that stays local:** - Provider preferences in `~/image-generation/memory.md` - Optional local history file **This skill does NOT:** - Store API keys - Upload files outside chosen provider requests - Persist generated images unless user asks to save them ## External Endpoints | Provider | Endpoint | Data Sent | Purpose | |----------|----------|-----------|---------| | OpenAI | `api.openai.com` | Prompt text, optional input images | GPT Image generation/editing | | Google Gemini API | `generativelanguage.googleapis.com` | Prompt text, optional input images | Gemini image generation/editing | | Google Vertex AI | `aiplatform.googleapis.com` | Prompt text, optional input images | Imagen 4 generation | | Black Forest Labs | `api.bfl.ai` | Prompt text, optional input images | FLUX generation/editing | | Replicate | `api.replicate.com` | Prompt text, optional input images | Hosted third-party image models | | Midjourney | `discord.com` | Prompt text | Midjourney generation via Discord workflows | | Leonardo | `cloud.leonardo.ai` | Prompt text, optional input images | Leonardo generation/editing | | Ideogram | `api.ideogram.ai` | Prompt text | Typography-focused image generation | No other data is sent externally. ## Migration If upgrading from a previous version, read `migration.md` before updating local memory structure. ## Trust This skill may send prompts and reference images to third-party AI providers. Only install if you trust those providers with your content. ## Related Skills Install with `clawhub install <slug>` if user confirms: - `image-edit` - Specialized inpainting, outpainting, and mask workflows - `video-generation` - Convert image concepts into video pipelines - `colors` - Build palettes for visual consistency across assets - `ffmpeg` - Post-process image sequences and exports ## Feedback - If useful: `clawhub star image-generation` - Stay updated: `clawhub sync`

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 image-generation-1775992262 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 image-generation-1775992262 技能

通过命令行安装

skillhub install image-generation-1775992262

下载 Zip 包

⬇ 下载 AI Image Generation v1.0.3

文件大小: 19.71 KB | 发布时间: 2026-4-13 10:38

v1.0.3 最新 2026-4-13 10:38
Updated for 2026 with benchmark-backed model selection and clearer guidance for modern image generation stacks.

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