Yeri AI: working notes for image and video generation: lessons from real projects

This repository keeps my notes on Yeri AI, an online tool that turns prompts and photos into images and short clips. I keep the notes in a repo because prompts drift: a wording that worked last month may need a tweak after a model update, and the history makes that easy to see.

Templates

Video templates and photo effects are the fastest way to get something social-ready; swap in your own photo and adjust the text. The prompt library is useful when you are stuck: copy a prompt, change the subject, keep the lighting and composition terms.

Tips

• Generate four variations, pick one, then iterate on that one only.
• Keep a log of prompt, model and seed for every image you plan to reuse.
• Use the same reference image across a series to keep characters consistent.

Editing tools

Upscaling and enhancement fix soft or low-resolution sources before you animate them, which noticeably improves video results. The watermark remover and style changer cover most quick fixes that used to need a desktop editor.

Video

Text-to-video clips are short, so plan one idea per clip and cut several together afterwards. For image-to-video, keep motion prompts small: 'slow push-in', 'hair moves in the wind', 'steam rises'. Big camera moves tend to warp faces.

Models

Yeri AI lets you choose the model per job. Seedream is my pick for detailed product shots, Nano Banana for fast drafts and multi-reference edits, and GPT Image when the picture has to contain readable text. Model choice matters more than prompt length. Fast models are fine for exploring ideas; switch to a pro model only for the final render to save credits.

Links

Try it here: https://yeri.ai

Corrections and new prompt ideas are welcome.