Awesome GPT-Image-2
A Chinese-language handbook of prompt techniques for the GPT-Image-2 model, built from six in-depth field-test articles into more than 770 reusable prompts and a searchable case library aimed at designers and content creators.
Awesome GPT-Image-2 organizes practical prompt engineering for GPT-Image-2 into a reusable methodology built around task type, subject description, style definition, technical parameters and output specification, aimed at designers, marketing and e-commerce teams and other AI image workflow users. Its structured case library holds 772 deduplicated prompt records, each with a stable identifier, locale, category, source and license, image, tags and a content fingerprint, combining the maintainer's own material with cases synced from other community repositories and checked against duplicates before being added.
A scheduled job checks upstream sources for new community cases every six hours and appends only new, validated entries, with build, check, statistics and search commands provided as Python scripts over the case-library data file. The project separately maintains a newer, actively developed site for a later image model version, and links out to several of the maintainer's other repositories covering different AI tools and services.