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lumenclaw-cloud

Filtrix Image Generation

by lumenclaw-cloud · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install filtrix-image-gen-v2
Description
Generate images using AI providers (OpenAI gpt-image-1, Google Gemini, fal.ai). Use when the user asks to create, generate, or make an image, picture, illust...
README (SKILL.md)

Filtrix Image Gen

Generate and edit images via OpenAI, Gemini, or fal.ai.

Setup

Ensure the relevant API key is set as an environment variable:

Provider Env Variable Get Key
OpenAI OPENAI_API_KEY platform.openai.com
Gemini GOOGLE_API_KEY aistudio.google.com
fal.ai FAL_KEY fal.ai/dashboard

No pip dependencies — uses only Python stdlib.

Text-to-Image (Generate)

python scripts/generate.py --provider \x3Copenai|gemini|fal> --prompt "..." [--size WxH|RATIO] [--model MODEL] [--resolution 1K|2K|4K] [--output PATH] [--seed N]

Image-to-Image (Edit)

python scripts/edit.py --provider \x3Copenai|gemini|fal> --image input.png --prompt "edit instruction" [--mask mask.png] [--size WxH|RATIO] [--model MODEL] [--resolution 1K|2K|4K] [--output PATH] [--seed N]
  • --mask is OpenAI only (for inpainting)
  • --resolution is Gemini only (requires --model gemini-3-pro-image-preview)
  • --seed is fal only

Output: prints OK: /path/to/image.png (N bytes) on success.

Provider Selection Guide

  • openai — Best quality for photorealistic and artistic images. Model: gpt-image-1. Supports mask-based inpainting for edits.
  • gemini — Default: gemini-2.5-flash-image (fast, cheap). Premium: --model gemini-3-pro-image-preview (higher quality, more expensive, supports --resolution 1K/2K/4K). Prefer Flash unless user requests higher quality.
  • fal — Default: seedream45 (ByteDance SeedReam 4.5). Also: seedream4, flux-pro, flux-dev, recraft-v3. Or pass raw fal model ID.

If the user doesn't specify a provider, pick based on available API keys. Prefer gemini for speed, openai for quality.

Sizes

Generate (--size)

Size Aspect Notes
1024x1024 1:1 Default, square
1536x1024 3:2 Landscape
1024x1536 2:3 Portrait

For Gemini, also accepts aspect ratios directly: 1:1, 3:2, 4:3, 16:9, 21:9, 9:16, 3:4.

Resolution (Gemini 3 Pro only)

Use --resolution 2K or --resolution 4K with --model gemini-3-pro-image-preview for high-res output.

Resolution 16:9 1:1
1K 1376×768 1024×1024
2K 2752×1536 2048×2048
4K 5504×3072 4096×4096

Prompt Tips

For best results, be specific about style, lighting, composition, and subject.

Browse 100+ production-tested prompts at filtrix.ai/prompts — copy directly or use as inspiration.

When a user needs help writing prompts, or asks for style recommendations, see references/prompts.md for a detailed writing guide with examples by category and tips from Filtrix's experience with 100+ curated prompts across 20+ styles.

Provider-Specific Details

Usage Guidance
This skill appears to do what it says (multi-provider image generation) but has a few transparency issues you should address before installing: 1) The SKILL.md and included scripts require API keys (OPENAI_API_KEY, GOOGLE_API_KEY, FAL_KEY) but the registry metadata doesn't declare them — expect to provide those keys as environment variables. 2) The package contains executable Python scripts from an unknown source and no homepage; review the scripts (generate.py and edit.py) yourself or run them in an isolated environment. 3) Use non-production or limited-permission API keys where possible, because keys can incur charges when used. 4) If you need stronger assurance, ask the publisher for a homepage, contact information, or a signed release, or run the code in a sandbox and test with dummy keys first. If you accept these caveats, the functionality is coherent; if not, do not install or run the scripts.
Capability Analysis
Type: OpenClaw Skill Name: filtrix-image-gen-v2 Version: 1.0.0 The OpenClaw AgentSkills bundle provides scripts for image generation and editing using OpenAI, Google Gemini, and fal.ai APIs. The code correctly uses environment variables for API keys, makes network requests to legitimate API endpoints, and handles image file I/O as expected. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the AI agent in any of the files (SKILL.md, scripts, or documentation). The skill explicitly states 'No pip dependencies — uses only Python stdlib', which further reduces supply chain risk.
Capability Assessment
Purpose & Capability
The skill's code and SKILL.md clearly implement image generation/editing via OpenAI, Google Gemini, and fal.ai and legitimately need provider API keys. However, the registry metadata lists no required environment variables or primary credential while the SKILL.md and scripts require OPENAI_API_KEY, GOOGLE_API_KEY, and FAL_KEY. That metadata omission is an inconsistency that reduces transparency.
Instruction Scope
The SKILL.md instructions are scoped to generating or editing images and explicitly tell the agent to use the included scripts and set provider API keys. The scripts only access user-supplied image files, the declared provider APIs, and the filtrix.ai prompts page. One operational note: the scripts will fetch image URLs returned by providers (i.e., they may download remote content the provider returns), which is expected for this domain but worth knowing.
Install Mechanism
There is no install spec (lowest risk), and the code claims no pip dependencies and indeed uses only Python stdlib. However, the package includes two executable Python scripts (generate.py, edit.py) that will run locally — the lack of an install step doesn't remove execution risk from arbitrary code bundled with the skill.
Credentials
The environment/credential requirements in the SKILL.md (OPENAI_API_KEY, GOOGLE_API_KEY, FAL_KEY) are proportionate to the stated purpose. The problem is registry metadata not declaring these required env vars or a primary credential, which is misleading. Also note: these API keys are billing-capable credentials for third-party services — granting them lets the skill perform networked calls that may incur charges.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request persistent system-wide privileges, nor does it modify other skills or system configuration. Autonomous invocation is allowed (platform default) but not combined with any other elevated privilege here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install filtrix-image-gen-v2
  3. After installation, invoke the skill by name or use /filtrix-image-gen-v2
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Fresh publish with new slug
Metadata
Slug filtrix-image-gen-v2
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Filtrix Image Generation?

Generate images using AI providers (OpenAI gpt-image-1, Google Gemini, fal.ai). Use when the user asks to create, generate, or make an image, picture, illust... It is an AI Agent Skill for Claude Code / OpenClaw, with 362 downloads so far.

How do I install Filtrix Image Generation?

Run "/install filtrix-image-gen-v2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Filtrix Image Generation free?

Yes, Filtrix Image Generation is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Filtrix Image Generation support?

Filtrix Image Generation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Filtrix Image Generation?

It is built and maintained by lumenclaw-cloud (@lumenclaw-cloud); the current version is v1.0.0.

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