A teacher asks what image-generation stack now best teaches realistic outputs
Odd-Fig-7609 · reddit · 2026-07-23
A media-technology teacher is looking for the best image-generation setup to teach students realism with minimal friction.
Requirements
- easy to use, since class time is limited
- flexible enough for multiple styles, mostly realistic images
- good-looking results with little or no tuning
Their tradeoff
They note that GPT or Gemini would be easier for prompting, but Stable Diffusion is better for teaching what a model is and how it is trained, as well as for explaining prompts, weights, and negative prompts.
What they are asking
They want a current baseline after a year away from SD 1.5 / Automatic1111, and are considering:
- Forge UI for simplicity
- ComfyUI, though it seems too complex for students
- Flux models
It is essentially a practical teaching-choice question about which image-generation stack is best for beginners.
More from Multimodal
- Alibaba launches Qwen-Audio-3.0-TTS with 16 languages and 3-minute one-pass audio — Alibaba_Qwen · 2026-07-23
- Kling AI is said to handle close-up facial expressions better — burny_tech · 2026-07-23
- A reusable ChatGPT image prompt for a realistic portrait plus doodle-shadow twin — SimplyAnnisa · 2026-07-23
- Qwen-Image-3.0 aims for practical image generation, but still needs prompt tuning — 量子位 · 2026-07-23
- User showcases LTX 2.3 animations with a cinematic ogre-at-the-cake scene — Wise_Revolution385 · 2026-07-23
- MineExplorer shows top multimodal models collapse on long-horizon open-world tasks — 美团技术团队 · 2026-07-23