Verified project record

freestylefly/awesome-gpt-image-2

Provides Prompt-as-Code assets that structure visual instructions into composable components for controllable image-generation workflows. Includes a 520-case gallery, a style-library agent skill, and a website for browsing and copying prompts, relying on external services for visual-site case generation.

Project overview

Decomposes scattered image prompts into reusable templates and supports an agent skill for style selection, addressing the need for reliable prompt reuse in batch and template workflows.

Project type: AI Agent · Workflow · Image & Vision
Use cases: Image Processing
Deployment: Refer to project documentation
License: MIT

Best for

Creators and developers who need to produce structured, reusable image prompts for batch, template, or production workflows.

Key capabilities

Provides reusable prompt templates that decompose visual elements into composable parts for controllable image-generation workflows.
Provides a gallery of 520 documented cases organized by visual category for finding prompt references.
Includes an agent skill that selects styles, templates, categories, and scene tags from the project's shared style-library data.
Offers a live website for browsing previews, copying complete prompts, filtering cases, and returning to source cases.

Limitations and risks

The homepage provides an English navigation layer, while the prompt body remains in the original template document.
The project references public prompt-library content owned by original authors or platforms, with potential infringing or inappropriate content subject to correction or removal.
Visual-site case generation requires the GPT Image 2 API, and operation depends on external services including Supabase Auth, Supabase Postgres, Vercel Function proxy, and Ciyuan API.
GPU, data boundary, cost dependency, coding requirement, and telemetry are not documented.

Getting started

The documented setup is easy: start from featured cases and choose an output type, find nearby cases in the gallery, and fill business variables into general or JSON templates.

Alternatives and comparisons

Provides an AI-powered assistant for generating, debugging, and tuning ComfyUI image generation workflows.
Bridges AI agents and ComfyUI through a CLI that executes registered workflows and returns structured JSON outputs.
Turns ComfyUI workflows into callable skills with schema-based parameter mapping and an agent-friendly CLI.

Project comparisons

Evidence and sources

README: Prompt as Code | GPT-Image2 Industrial Prompt Engine & Template Library, 500+ Reverse-Engineered Cases, 20+ Industrial Templates
README: This project turns scattered community examples into Prompt-as-Code assets that are easier for agents and automation workflows to reuse.
README: Browse all 520 cases by gallery part and category.
README: This repository includes an agent skill for choosing GPT-Image2 styles, templates, categories, and scene tags from the same data used by the website.
README: Use the live site at [gpt-image2.canghe.ai](https://gpt-image2.canghe.ai/) to browse the gallery as a product experience: open large previews, copy full prompts, filter by style o…

Reviewed at: 2026-07-15T19:02:47Z

Open original GitHub project