The new updated Sora 2 on OpenArt gives you longer AI videos with consistent characters, detailed environments, and production-ready visuals. With support for up to 20-second video generation and full 1080p output, Sora 2 makes it easier to create high-quality scenes for storytelling, content creation, and visual experimentation.
Sora 2 update supports longer AI video generation with clips up to 20 seconds in a single output. This extended duration allows creators to produce more complete scenes with smoother motion and continuous action. Instead of combining multiple short clips, creators can generate longer sequences that better capture storytelling moments and environmental movement.
Sora 2 update improves character consistency in AI-generated video while supporting up to two characters within the same scene. Characters maintain recognizable details such as clothing, facial structure, and overall design across frames, helping scenes feel stable and believable. This makes it easier to create interactions, dialogue-style moments, and character-driven storytelling within a single generated video.
Sora 2 now generates videos in full 1080p resolution, supporting both portrait (1080 × 1920) and landscape (1920 × 1080) formats. The higher resolution helps preserve visual detail in lighting, textures, and motion throughout the video. This makes the output suitable for social media, digital storytelling, and cinematic content creation.
Go from a text prompt to a finished 1080p AI video in four simple steps.
Include specific details about the characters, environment, lighting, and mood. More precise prompts give the model clearer direction and tend to produce more accurate results.
Starting with a focused scene — one or two elements — can improve consistency. Complex multi-action prompts may produce less predictable output, especially on first generations.
Describe each character with specific physical details — hair color, clothing, build — and keep those descriptions the same across prompts to help the model maintain a stable appearance.
Adding camera language to your prompt — such as "wide shot", "close-up", "slow pan", or "tracking shot" — can significantly shape the visual style and framing of the generated video.
Small changes in wording can lead to noticeably different outputs. Try reframing the same scene with different vocabulary or emphasis to explore the range of what the model can produce.
Each generation gives you new information about what works. Use the results to refine your prompt progressively — adjusting details, removing noise, and honing in on the output you want.