Ways to waste fewer credits on AI video generations (Curious Refuge)
▶ Play demoYouTube · loads on clickWhat they did
Curious Refuge shares the process it uses to avoid paying for bad generations on an AI film: set up checks before committing to full-cost renders. A full written breakdown is on their blog.
Worth knowing
- Price: unknown
- Status: sourced. We have not run this ourselves yet (no "Tested" badge).
- Quality bar (computed by code): 4/5 (primary source ✓, reproducible ✗, new ✓, example output ✓, safe ✓)
The best new AI video workflows and prompts, weekly.
Related
▶ YouTube demoSeamless over-the-top AI video intros, full workflow (MattVidPro)
MattVidPro shows his whole process for AI intros that blend into real footage. His intro prompt and Seedance 2.5 prompting guide are public on GitHub. Note: the video is sponsored by Runway.
▶ YouTube demoKling AI
Kuaishou's own Kling studio, where you make text-, image- and reference-driven video and images in one web app. It's the place to try new Kling versions first.
▶ YouTube demoVeo (Google DeepMind)
Google DeepMind's page for the Veo video model family, with capability notes and sample clips straight from the lab.
▶ demo at sourceVeo 3 on fal
Veo 3 served through fal's API, with text-to-video and optional generated audio. Price depends on whether audio is on.
▶ demo at sourceVeo 3 Fast on fal
A faster, cheaper Veo 3 variant on fal. It's a sensible default for drafts before you spend on the full model.
▶ YouTube demoVeo on Gemini API docs
Google's developer docs for generating video through the Gemini API, including when to pick Veo 3.1 versus faster editing-oriented models.