Intro to AI Image Generation Tools: From Text-to-Image to Post-processing

Published 2026-10-23

Understand the workflow first

AI imaging is not one tool for everything — it's a pipeline: text-to-image → image-to-image refinement → upscaling/restoration → cutout/compression for delivery. Different stages call for different tools.

Text-to-image: platform or model

  • Domestic platforms: Tongyi Wanxiang, WHEE, SeaArt — Chinese-prompt friendly, stable access, daily free credits for practice.
  • Self-hosted/open source: the Stable Diffusion ecosystem (WebUI, ComfyUI) offers maximum control over composition and consistency, at the cost of a GPU.
  • Design-oriented: Recraft excels at vector styles and icons.

The post-processing trio

  1. Upscale/restore: online with Bigjpg or PicWish; for local quality, see Topaz Labs.
  2. Cutout/background: remove.bg removes backgrounds in one click; free credits cover standard-resolution downloads.
  3. Compress for delivery: shrink files with TinyPNG or Squoosh — the latter processes locally for privacy.

A free starting stack

Zero-cost combo: Tongyi Wanxiang/WHEE for generation → Bigjpg for upscaling → remove.bg for cutout → Squoosh for compression. All have free tiers; upgrade only after the pipeline proves itself.

Tips and red lines

  • Write prompts in this order: subject, style, composition, lighting, then details — change one variable at a time.
  • Check each platform's commercial-use terms before client work; they differ.
  • Be careful generating real-person likenesses or famous IPs; follow platform rules.

More image tools in our AI Image & Design category; online utilities in the Online Tools directory.

AI artText-to-imageImage processingTool selection