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2. Vyond - Wikipedia

   en.wikipedia.org/wiki/Vyond

   On May 3, 2023, Vyond announced Vyond Go, an artificial intelligence-based feature in the video maker that generates videos based on user-provided prompts, similar to ChatGPT. [26] The first public beta was released on June 28, 2023, and is accessible to all users but it can only be used 3 times every 24 hours.

3. List of video editing software - Wikipedia

   en.wikipedia.org/wiki/List_of_video_editing_software

   The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:

4. List of YouTubers - Wikipedia

   en.wikipedia.org/wiki/List_of_YouTubers

   Video creator, animator, and musician who makes surreal videos, most notably "history of japan" and "history of the entire world, i guess". Natalie Wynn: United States ContraPoints A former philosophy graduate student and instructor who creates videos about gender, race, politics. X ; Y ; Ami Yamato: Japan Ami Yamato A VTuber vlogger

5. 5 new AI products worth trying from the avalanche of ... - AOL

   www.aol.com/5-ai-products-worth-trying-103201896...

   It can create videos up to 1080p resolution lasting up to 20 seconds from your written prompts or make up for missing frames by completing a scene or extending the length of an existing video.

6. Comparison of video editing software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_video...

   AVS Video Editor: Yes No No Intel / AMD compatible at 2500 MHz or higher 1 GB 1 GB Blender (VSE : Video Sequence Editor) Yes Yes Yes 2 GHz+ with SSE2 support [24] 2 GB [24] 512 MB [24]? Cinelerra: No No Yes x86-64 compatible processor 256 MB 0.25 GB Cinelerra-GG Infinity: No No Yes x86-64 compatible processor, recommended minimum: 2 GHz, 4 cores

7. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [6]