evolink-image

Generate bitmap images from prompts and reference images via Evolink's gpt-image-2 model.

37|7|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/archibate/dotfiles-claude --skill evolink-image
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evolink-image
Source: https://github.com/archibate/dotfiles-claude/tree/main/skills/evolink-image
Command: npx skills add https://github.com/archibate/dotfiles-claude --skill evolink-image

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Automates the creation and editing of bitmap images using Evolink AI, enabling you to turn descriptive prompts into visuals or refine existing images without manual drawing.

Core Features & Use Cases

  • Async image generation via Evolink's gpt-image-2 model (text-to-image, image-to-image, edit-with-reference).
  • Bundled script scripts/generate_image.py handles task creation, polling, and downloading results locally.
  • Flexible outputs: specify size, resolution, quality, and number of images; results are downloaded to a local directory for quick access.

Quick Start

Run the generate_image.py script with a prompt describing the image you want to create.

Frequently Asked Questions about evolink-image

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate images from text prompts using AI?

Generate images from text prompts by running the bundled generate_image.py script, which sends your descriptive text to Evolink's gpt-image-2 model. The script handles task creation, asynchronous polling, and downloads the resulting bitmap images directly to a local directory.

Can I edit an existing image using AI to refine the details?

You can edit existing images using the image-to-image and edit-with-reference scenarios supported by the script. By providing an optional reference image alongside your prompt, Evolink's gpt-image-2 model will refine and modify the original bitmap visuals according to your descriptive instructions.

How does asynchronous AI image generation handle long processing times?

Asynchronous AI image generation handles long processing times by creating a background task and polling for the status until completion. This approach prevents timeouts while the model processes your prompt, automatically downloading the final bitmap images to your local directory once the task succeeds.

Do I need an API key to use Evolink for image generation?

You need an Evolink API key to authenticate requests for image generation. The script enforces environment-based API key usage, requiring you to configure the key in your local environment variables before creating tasks or downloading results.

What parameters can I customize when generating AI images?

You can customize the size, resolution, quality, and number of images when generating AI visuals. These flexible output options are passed to the script, allowing you to control the final dimensions and detail level of the bitmap images downloaded locally.

What happens if the asynchronous image generation task fails?

If the asynchronous image generation task fails, the script provides status and error reporting to indicate what went wrong. This reporting covers issues during task creation, polling, or downloading, helping you troubleshoot API connectivity or prompt processing failures.