Google DeepMind 全量开放视频模型 Gemini Omni 1.2 Flash,片段最长 15 秒并降价 30%
Google's Gemini Omni 1.2 Flash stretches AI video clips to 15 seconds and cuts pricing by 30 percent
- 1Google DeepMind 全量开放视频生成模型 Gemini Omni 1.2 Flash,覆盖 API、Flow 与 Google Ads 等渠道
- 2片段上限从 10 秒延长到 15 秒,720p 价格下调 30% 至每秒 $0.07,生成视频均带 SynthID 水印
- 3新增对话式编辑,改背景、光照或画幅无需重生成整段视频,官方称配合分级流程可降低成本
- 4官方称参考一致性明显改善,虚拟试穿示例中人脸、服装版型跨机位保持稳定(官方口径)
视频生成正从一次性出片转向可反复修改的迭代工作流,叠加 30% 降价,营销内容的批量生产成本进一步下探。
- 影响:营销与电商素材的制作成本结构变化,每秒 $0.07 的 720p 定价让小批量试错更可行;人脸、包装字体与品牌色跨机位保持一致的能力使虚拟试穿等商品展示场景更接近可用;SynthID 水印成为生成视频的默认溯源配置。
- 参考:可考虑用自有商品图试点一段 15 秒产品展示或虚拟试穿视频,按 360p 或 720p 起草、成片再升 1080p 或 4K 来核算实际支出;值得把现有视频外包报价与每秒 $0.07 的官方定价做一次对比。
- 依据:时长、价格、渠道与水印均为 Google 官方发布信息;一致性、口型同步与镜头运动等效果描述出自官方口径,暂无独立验证。
Google Deepmind is making its Gemini Omni 1.2 Flash video-generation model generally available. The updated model creates clips up to 15 seconds long, supports conversational editing, and costs 30 percent less than its predecessor.
Google says Gemini Omni 1.2 Flash is rolling out through the Gemini API, Google AI Studio, the Google Cloud Console, Flow, Google Vids, the Gemini app for Google AI Ultra subscribers, and Google Ads. Every generated video carries an imperceptible SynthID watermark to indicate its origin.
Clips can now run between three and 15 seconds, up from a maximum of 10 seconds previously, and pricing drops 30 percent to $0.07 per second for 720p video. Generated clips can also be edited through an ongoing conversation.
A standout feature is what Google calls "Conversational Editing." Users can tweak a generated clip step by step, changing the background, lighting, or aspect ratio without regenerating the entire clip. Google says this works across the full 15-second length. Paired with a tiered workflow, the feature is supposed to cut costs. Drafts are first created at 360p or 720p, individual details are corrected with a follow-up edit, and only the final result is upscaled to 1080p or 4K.
Google promises more consistent results with reference images
Google also promises significantly better reference adherence. According to the announcement, the model can take character images, product photos, short motion clips of up to three seconds, and audio cues as inputs. Faces, clothing, packaging typography, and brand colors are supposed to stay consistent across different camera angles.
As an example, Google shows a virtual try-on clip. From a single model photo and product shots of three outfits, the model generates a 15-second sequence with 360-degree turns while preserving the model's identity and each garment's cut and drape.
Overall visual consistency is said to have improved as well. Google says there is less visual drift or morphing across motion and camera transitions than with the predecessor.
Beyond that, Gemini Omni 1.2 Flash is supposed to produce more fluid, natural-sounding dialogue with clearer lip-sync and the ability to distinguish between multiple speakers. The model further handles complex, continuous camera movements such as FPV drone flights or dramatic zoom-outs, with significantly fewer unwanted jump cuts.
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来源:The Decoder:AI News · the-decoder.com