How do I use the Dreamlux image to video AI generator step by step?

High-quality video creation can be completed in just five steps using the Dreamlux ai video generator. The first step is to log in to the platform and upload the source file: It supports JPEG/PNG (up to 8K resolution) and RAW formats (such as). CR3/.nef) and PSD layered files, with a single file size limit of 2GB. The system compresses the image loading time to 0.3 seconds per image through an intelligent noise reduction algorithm, which is 6 times faster than traditional tools. For instance, after the Nike design team uploaded 300 product concept images, the system completed all preprocessing within 18 seconds, saving 97% of the time cost compared to manual image editing.

The second step is to select a video template or custom parameters: The platform offers 1,200 preset templates (covering 15 categories such as e-commerce, education, and film and television), supporting adjustments to frame rate (24-120FPS), resolution (720p to 8K), duration (5 seconds to 10 minutes), and dynamic effect density (for example, particle effects can render up to 5,000 per second). According to a 2025 Gartner survey, 89% of users who employed the “Smart Match” feature selected the best template within 30 seconds, a 240% improvement in efficiency compared to manual configuration. For instance, a certain MCN agency on TikTok has raised the probability of short videos becoming popular from 12% to 38% through the “blockbuster prediction” template, with the peak commission for a single advertisement reaching 4,500 US dollars.

Step 3: Start AI generation and real-time preview: The distributed rendering engine of Dreamlux AI video generator can generate a 10-second 4K video (including multi-track BGM and subtitles) within 4 seconds and supports frame-by-frame editing. On the NVIDIA H100 GPU cluster, its parallel task processing capacity reaches 500 tasks per minute, and the power consumption is only 1.8 watts per task, which is 73% higher than the rendering energy efficiency ratio of Adobe Premiere. Walmart once used this function to generate 24,000 promotional videos within 1.2 hours, reducing the cost by 99.6% compared with outsourcing production.

Step 4: Export and multi-platform adaptation: The output supports MP4/MOV/WebM formats with a bitrate range of 2-100Mbps, and automatically ADAPTS to the compression standards of Douyin (H.264 encoding), Instagram (VP9), and YouTube (AV1). According to the 2025 IDC report, enterprises using Dreamlux ai video generator have increased their cross-platform publishing efficiency by 55% and saved an average of 34% in CDN traffic costs. For instance, through this tool, Xiaomi has shortened the localization adaptation cycle of its global new product launch videos from 72 hours to 40 minutes, and the click-through rate in overseas markets has increased by 27%.

Step 5: Compliance and Copyright Management: The system is equipped with a real-time detection module that can identify 99.1% of infringing materials (based on a comparison with a copyright database of over 1 billion), and automatically add watermarks or replace unauthorized elements. According to the compliance case of the EU’s Digital Services Act, Adobe used this feature to reduce the risk of content removal from 0.9% to 0.07%, saving an average of 12 million US dollars in legal dispute costs annually. In addition, users can integrate the tool into the internal CMS through the API to achieve the automated production of an average of one million videos per day. For instance, Xinhua News Agency generated 78,000 short news videos in its coverage of the Two Sessions in 2025, which increased the number of users reached by 50 times compared to manual production.

Through the above steps, Dreamlux image to video ai generator reduces the threshold for video creation to nearly zero: The MAU of individual users has exceeded 25 million, among which 68% are non-professional creators. Its “one-click optimization” function, by analyzing data from 1 billion popular videos, can increase the median first-week play count of new works from 1,200 times to 98,000 times, completely rewriting the rules of content production.

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