The duration problem in AI video is narrowing
On August 3, 2026 Dreamina launched Seedance 2.5 globally. The model generates up to 30 seconds continuously in standard mode, supports projects up to three minutes in Long Video Mode, and accepts 50 reference assets. The promise is less manual stitching of short clips.
The problem was not quality but continuity
Per Dreamina's announcement of August 3, 2026, Seedance 2.5 launched globally. The framing of the announcement is notable in itself: producing longer AI video is still hard, and the real problem is not the quality of a single frame but holding consistency across several scenes.
That is a constraint anyone working in the field recognises. When you have to generate short clips and stitch them by hand, a character's face, a product's colour and the direction of the light drift from scene to scene. The announcement says the model targets exactly that continuity problem.
Social Media Today covered it on August 3 from the TikTok side, reporting that the updated video model will enable deeper storytelling and that advertisers can generate 30 second clips, up from 15 seconds previously. The same report notes the model reaching select paid advertisers in select markets.
30 seconds as standard, three minutes in a special mode
The technical frame in the announcement runs as follows. Standard mode supports up to 30 seconds of continuous video generation. Long Video Mode, accessed through Dreamina, supports projects of up to three minutes.
References are the second leg of this release. The model accepts up to 50 reference assets, and they are not only visual: images, video clips and audio files. So a brand can feed product photography, existing footage and audio material into the same generation as inputs.
Editing changes too. The announcement describes local editing capabilities, green screen support and 3D workflow compatibility, and notes that creators can adjust selected parts instead of rebuilding the entire video. That targets the most expensive step in the production loop, which is starting over.
The consistency claim rests on cross scene continuity: maintaining character identity, product appearance and visual direction across scenes. One boundary appears in the announcement as well: model access, output options, subscription plans and promotional pricing may vary by market.
Ad format and production capability line up
In social video the gap between 15 and 30 seconds looks small, but not narratively. Fifteen seconds carries a hook and a message; thirty can hold setup, development and a call to action. The framing Social Media Today reports points the same way: deeper storytelling.
The real gain, though, is in production. Working with short clips, a large share of the time goes not to generating but to stitching and fixing inconsistencies. As continuous duration grows and selected sections can be corrected without regenerating, that invisible labour shrinks. That assessment is ours.
Wider reference capacity carries separate meaning for brands. If real product photography, existing ad footage and brand colours can be supplied as inputs, the output shifts from a stock image aesthetic toward the brand's own world. Brand consistency has been the weakest point of AI video.
Finally, a constraint worth remembering: this is a production tool, not a strategy. As duration grows, so does the duration of a bad idea. That last sentence is our own comment.
What it means for businesses in Türkiye
The assessment below is our reading, not something stated in the sources. The announcement says access may vary by market but gives no information specific to Türkiye, and advertiser access is reported as limited to select markets.
For small and mid sized brands in Türkiye the main obstacle in video production is not ideas but production cost and time. Tools like this lower that obstacle, but they bring two new responsibilities with them.
Three practical notes. First, disclosure: the commercial advertising regulation that took effect on August 1, 2026 requires disclosure for AI generated content, so keep a record of how your video was produced from the start. Second, brand consistency: because reference capacity has widened, keeping your brand kit, product photography and colour values in an organised archive now directly affects output quality. Third, format discipline: the option of 30 seconds does not mean every video should be 30 seconds, and the rule about establishing the hook in the first three seconds has not changed.
In short, as the tool gets cheaper the difference is made in the brief rather than the tool. That last sentence is our own comment.
The UNALSOFT take
In our AI ad film production, model choice is not the start of the job but its middle. What gets said, which scene is generated from which reference, and how consistency will be judged are decided first. Longer duration and wider reference capacity strengthen that structure: less stitching, more managed production. Even so, what determines the output is not the model but the quality of the reference archive and the brief.
The duration grew, the idea is still yours.
Let's build your video production flow and reference archive together.