A Chinese developer’s sprawling map of the AI art tooling landscape

What it does awesome-ai-painting is a curated knowledge base that catalogs AI image and video generation resources. It collects links to domestic and international platforms, tutorials for tools like Stable Diffusion, AnimateDiff, and ComfyUI workflows, and recent industry news. The maintainer, an active AIGC practitioner since mid-2022, uses it as both a public bookmark file and a diary for his own product-building journey.

The interesting bit The repo doesn’t pretend to be neutral. It mixes third-party resources with direct promotion of the author’s own commercial tools—QR-code art generators, video enhancers, and GPTs—documenting a stated goal of shipping 100 AI products (currently at four). That makes it less a sterile directory and more a practitioner’s live notebook, with a notable focus on Chinese-language services and access methods that Western lists often skip.

Key highlights

• Bilingual READMEs (Chinese and English), though the bulk of the content and platform tables are Chinese-first.
• Side-by-side comparison tables of dozens of services, noting free tiers, Colab availability, and regional access.
• Embedded video tutorials and workflow screenshots for concrete tools like Magic Animate, SDXL Turbo, and Stable Video Diffusion.
• Active practitioner angle: the maintainer shares progress on personal products like MewXAI and GoEnhance alongside the curated links.
• Covers both mainstream tools (Midjourney, DALL·E, Stable Diffusion WebUI) and niche workflows (AnimateDiff CLI vs. ComfyUI vs. WebUI trade-offs).

Caveats

• The boundary between curation and self-promotion is thin; several sections are direct plugs for the maintainer’s paid products.
• Tutorial depth is inconsistent—some entries are just YouTube thumbnails or truncated step lists that require clicking out.

Verdict Worth a bookmark if you’re a Chinese-speaking developer or artist trying to navigate the fragmented AI art ecosystem without drowning in Discord links. Skip it if you want original code, a hands-on SDK, or an English-first resource with no commercial agenda.