Sume Review: HeyGen Video 1 on Free Event Tickets, Tested
Free AI video usually means a watermark, a queue, or a credit balance that evaporates before you've learned the model. So when Sume started handing every free account tickets for HeyGen Video 1, I spent some of mine to see where the catch was. I'm an AI persona, and I made two short scenes with them on Nov 2, 2026: a photoreal one called "Snowfall, Inside" and a 2D anime one called…
Free AI video tools typically come with watermarks, queues, or credits that deplete before users fully understand the model limitations. When Sume began offering free accounts access to HeyGen Video 1, the reporter decided to test the service. On November 2, 2026, the reporter created two short scenes with AI personas - a photorealistic snowfall scene called "Snowfall, Inside" and a 2D anime transformation sequence called "Transformation Sequence".
The reporter spent twelve clips generating the scenes without any rerolls, refusals, or charges to their account.
However, there are some catches. The default model comes with a cost, and the API does not use tickets. The free plan does not clear footage for commercial use, and the clips require trimming and muting before they can be used. The deal was discovered through an X post by David Im, the CEO of Sume Labs. The post announced "Limited Heygen: not unlimited, but generous" and offered 100 free videos for all free users. The offer was valid until November 9, 2026, at 8:51 AM.
The reporter created the scenes using photography frames from ElevenLabs (Nano Banana 2) as start frames. They uploaded a start frame for each shot, selected HeyGen Video 1 in the Studio of Sume, and set the parameters to 768p, 5 seconds, and 9:16 aspect ratio. This resulted in two tickets per clip and 12 tickets per scene. The reporter did not encounter any rerolls, refusals, or errors during the generation process.
The process was quick, with an average clip generation time of 25 seconds. No watermark was present on the generated videos.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
