Posted on Feb 15, 2024
Sora by OpenAI
Sora Text-to-Video Demos
Prompt: A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about.
Prompt: Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk, snow covered trees and dramatic snow capped mountains in the distance, mid afternoon light with wispy clouds and a sun high in the distance creates a warm glow, the low camera view is stunning capturing the large furry mammal with beautiful photography, depth of field.
Prompt: Historical footage of California during the gold rush.
Prompt: The camera follows behind a white vintage SUV with a black roof rack as it speeds up a steep dirt road surrounded by pine trees on a steep mountain slope, dust kicks up from it’s tires, the sunlight shines on the SUV as it speeds along the dirt road, casting a warm glow over the scene. The dirt road curves gently into the distance, with no other cars or vehicles in sight. The trees on either side of the road are redwoods, with patches of greenery scattered throughout. The car is seen from the rear following the curve with ease, making it seem as if it is on a rugged drive through the rugged terrain. The dirt road itself is surrounded by steep hills and mountains, with a clear blue sky above with wispy clouds.
What is OpenAI's Sora Model?
Sora is an innovative AI model developed by OpenAI, capable of creating realistic and imaginative video scenes directly from text instructions.
It focuses on understanding and simulating the physical world in motion, aiding in solving real-world interaction problems. Sora can generate videos up to a minute long, maintaining visual quality and adhering to user prompts.Capabilities of Sora
- Generates complex scenes with multiple characters and specific motions.
- Accurately details subjects and backgrounds based on user prompts.
- Understands the physical existence of requested elements within the generated scenes.
How to get access to Sora and use Sora?
You can not yet login to use Sora AI. There is no way to request access at the moment.
Access to Sora is currently restricted to only a select group of testers. OpenAI has granted access to red team researchers, visual artists, designers and filmmakers to assess potential harms, gather creative feedback, and advance the Sora model capabilities. However, there is no public API or broader availability at this time. The capabilities showcased on OpenAI's site demonstrate the potential of this text-to-video generation model, but actual hands-on access remains limited to internal testing and certain external pilot groups. OpenAI notes they may consider wider access when integrating Sora into commercial products in the future, but the timeline for any public access is still undefined. For now, the innovative Sora model is only enabled for a small set of test users outside of OpenAI. Broader public access will likely depend on OpenAI's own usage policies and risk tolerance as this technology continues to evolve.
Sora's content limitations
Sora follows ethical guidelines and safety protocols, restricting content that promotes violence, violates copyright, or is deemed harmful. It encourages creativity within a safe, respectful framework.
OpenAI Sora API
According to OpenAI's blog post introducing Sora, the Sora model does not currently have a public API available.
This means that access to Sora is currently limited to specific testing users and is not open to the general public. This is primarily out of consideration for potential risks.
The post also mentions plans to potentially deploy Sora in OpenAI's products in the future. This suggests that longer term, OpenAI may open up access to Sora for users through commercial products, but there is not currently a public API or other access channel available.
In summary, the Sora model does not presently have any form of public API enabled, and is limited to internal testing and selected users. Whether OpenAI decides to open up API access likely depends on their future commercial plans. Please let me know if this English explanation needs any additional clarification!
Sora Pricing & Sora API's Pricing
Will Sora AI be free to use? I don't think so since generating videos costs GPU.
There has been a lot of curiosity around how much OpenAI will charge for access to its Sora model once it is released to the public. After reviewing Sora's capabilities based on OpenAI's published research, I predict they will take a tiered pricing approach based on factors like output resolution. For full HD quality video, which requires the most computational resources, prices may start at $10 per minute generated; higher prices would not be unexpected either. My sense is that initial demand will be strongest from entertainment sectors like movies, streaming shows, and game development that can make the most use of a video AI assistant. But costs will determine how widely professional creators beyond those industries could leverage Sora as well.
As we await OpenAI’s formal pricing announcement, there is plenty of speculation swirling about the implications this groundbreaking yet expensive model could have on diverse fields.
Can I use Sora AI on ChatGPT?
Sora is not yet usable within the ChatGPT system or other OpenAI products. As access remains restricted to select test groups, integration with public tools like ChatGPT has not been enabled.
Is there any Sora GPT on the GPT Store?
There is currently no GPT available that can utilize Sora AI. Some may use the keyword 'Sora' to attract attention, but in reality, it is not usable.
Sora VS Diffusion
Sora stands out from previous diffusion models for text-to-video generation due to its impressive coherence over longer 1 minute videos. Where prior models like DALL-E focused solely on images, Sora demonstrates the capability to dynamically render persisting identities and context across dozens of generated frames. The model displays remarkable proficiency at translating written prompts not only into standalone scenes, but smoothly transitioned, multi-perspective video sequences.
This represents a significant leap from static image diffusion techniques. By accounting for temporal consistency across frames, Sora addresses a core challenge that has plagued other generative video approaches – maintaining identity and physical plausibility in a dynamic context. The research team credits transformer-based architecture enabling better integration across space and time, as well as novel patch-based training for unlocking Sora’s robust video capabilities.
While image quality and fidelity continues to see rapid progress, Sora makes strides in coherent, contiguous generated video lacking in other diffusion implementations. Its motion modeling and physical awareness show unique promise for longer-form video applications. Looking forward, Sora appears to set up further exploration into just how capable diffusion methods might become at replicating core tenets of the visible world around us.
Sora VS Midjourney
While Sora and Midjourney both showcase compelling text-to-image/video generation capabilities, their approaches currently preclude direct comparison. Midjourney has focused on enabling broad public access to its image diffusion model, establishing a strong artistic community in the process. However access to Sora remains narrowly restricted for internal testing, limiting visibility into the strengths and weaknesses of its methodologies. We have yet to observe the level of fine-grained control and customization that Midjourney empowers for each user across prompts and styles. And video poses innate complexity beyond individual images. That said, Sora’s apparent proficiency in coherent longer-form video with smoothing and perspectives does seem differentiated from Midjourney's core competencies today. Ultimately, the lack of public Sora access means robust benchmarking against creative platforms like Midjourney is not yet feasible. Assessing to what degree Sora’s techniques might enhance, extend or supersede solutions like Midjourney will have to wait until OpenAI opens up formal access or provides more transparency. For now, both point toward the future of AI creativity, but comparing outputs will require more openavailability from Sora first.
Sora VS DALL·E 3
Sora is OpenAI's largest model capable of generating high-fidelity videos up to a minute long. It is a generative model trained on video and image data of various durations, resolutions, and aspect ratios, using a transformer architecture that operates on spacetime patches of video and image latent codes. Sora's development is part of a broader effort to scale video generation models, which is seen as a promising path towards building general-purpose simulators of the physical world.
The relationship between Sora and DALL-E 3 is primarily in their shared approach to generative modeling and their use in simulating aspects of the physical world. DALL-E 3, known for generating images from textual descriptions, uses a similar approach to Sora in terms of leveraging large-scale generative models. Sora extends this capability to video generation, allowing for the creation of dynamic visual content. Both models demonstrate the potential of using generative models for creating diverse and complex media outputs, contributing to the advancement of AI-driven content creation.
Alternative to OpenAI's Sora?
No, there is none currently. It surpasses other products in video quality, such as Runway, Pika, Stable video.
Sora VS Pika, Runway, Stable Video Diffusion
| Model | Release date | Ease of use | Features | Price |
|---|---|---|---|---|
| OpenAI Sora | February 2024 | Unknown | Powerful, versatile | Not Open Yet |
| Pika | January 2023 | Easy | User-friendly, variety of styles and effects | Subscription |
| Runway | 2023 | Difficult | Powerful, versatile | Subscription |
| Stable Video Diffusion | 2023 | Difficult | Video stabilization and enhancement | Self-hosted / Subscription |
Different points
- OpenAI Sora is the most powerful text-to-video generation model, but it is still under development and can be difficult to use.
- Pika is a more user-friendly alternative to Sora and can be used to generate videos with a variety of styles and effects.
- Runway and Stable Video Diffusion are video editing platforms that offer a variety of tools for creating and editing videos, including text-to-video generation.
Current Limitations of Sora
- Struggles with simulating complex physics accurately.
- Sometimes misinterprets spatial details and specific event sequences.
- Issues with creating plausible motion and accurately modeling interactions between objects and characters.
Safety Measures
- Collaborating with red teamers for assessing potential harms or risks.
- Developing detection tools for misleading content.
- Applying existing safety methods from DALL·E 3, including text and image classifiers to ensure adherence to usage policies.
Future Plans
- Making Sora accessible to red teamers, visual artists, designers, and filmmakers for feedback.
- Intending to incorporate C2PA metadata in future deployments.
- Engaging with policymakers, educators, and artists globally to understand potential positive use cases and concerns.