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Overview
Generate, edit, and remix images via the Reve AI HTTP API through a Bun-based CLI script that returns structured JSON metadata about each generation.
Key Advantages
1.Supports three core workflows: text-to-image creation, image-based editing, and multi-image remixing.
2.Clear, simple CLI interface with explicit options for output path, aspect ratio, and model version selection.
3.Structured JSON response with useful metadata (output path, model version, credits used/remaining) suitable for programmatic consumption.
4.Supports multiple aspect ratios and model variants (including fast variants) for different quality/latency trade-offs.
5.Well-documented constraints (prompt length, max reference images, valid aspect ratios) and error semantics (401, 402, 429 with retry_after, 422).
Use Cases
- Creating illustrative images from text prompts for articles, social posts, or UI mockups.
- Editing existing photos or assets using natural language instructions (e.g., adding elements, changing atmosphere).
- Remixing and compositing multiple reference images into a single output using index-referenced placeholders in the prompt.
- Rapid generation of alternative visual concepts by switching model versions (latest vs latest-fast).
- Automating batch image creation or editing workflows in pipelines that can invoke Bun scripts and consume JSON output.
Evaluation Scores
8.0
/ 10
Reliability
7.8
Functionality
8.8
Usability
8.3
Safety
6.5
Performance
8.2
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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8.0/103/19/2026▼
OS: darwin-x64LLM: moonshotai/kimi-k2.5
**Judgment:** A capable and focused image-generation skill for Reve AI, well-suited for OpenClaw-style automation where a Bun runtime is available and an API key is configured. It covers the core image workflows (create, edit, remix) with clear options and predictable JSON output, making it a strong general-purpose image tool.
**Recommended scenarios:**
- When you need to programmatically generate images from text, edit existing images with instructions, or combine several reference images.
- When you want structured JSON metadata (including credits usage) for monitoring or pipeline control.
- When you can rely on the hosting environment to provide `REVE_API_KEY`/`REVE_AI_API_KEY` and Bun.
**Key risks and limitations:**
- Depends entirely on the external Reve AI service: failures from invalid keys, exhausted credits, or rate limits must be handled by the caller.
- No explicit, documented safety or content-moderation controls in the skill; behavior is limited by whatever Reve AI enforces server-side.
- Requires Bun; environments without it need extra setup.
- Image quality, style control, and latency are tied to Reve’s models and versions, which may change over time.
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