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Video Crafter



The "video-crafter" is an open diffusion model used for high-quality video generation. Users input parameters such as frames per second (fps), a seed number for randomness, steps for video duration, the video's width and height, and a text prompt describing the scene to be generated. The model then creates a video based on these specifications, providing a URL link to the generated video as output. For example, given the prompt "an astronaut running away from a dust storm on the surface of the moon...", the model would generate a corresponding video about this scene.

Use cases

The 'video-crafter' AI model is an open source tool designed for high-quality video generation. It can be controlled via various parameters, such as frames per second, seed, steps, width, and height, and can also be directed using a narrative prompt, such as "an astronaut running away from a dust storm on the surface of the moon, the astronaut is running towards the camera, cinematic". This AI tool has numerous practical applications. For instance, filmmakers can leverage it to generate explicit scenes without incurring the costs associated with physical production. Animators could use the model to cut back on manual animation work by generating portions of animations or even creating entire sequences. It can also be incorporated in video games to produce dynamic cutscenes or in-game videos based on the narrative, or could be useful for virtual reality content generation. Furthermore, commercial advertisers may employ this model to create compelling digital narratives for their products or services, as could educators and communicators to visualize complex ideas or historical events. Possible products may include a standalone video generation software, or it could be integrated into existing video production or editing tools. It could also find its way into a plug-in for game engines, very useful for indie developers or those on a tight budget. Plus, movie production companies might harness it in evaluating potential scenes for live-action filming, saving time and resources in pre-production. In education, it could be incorporated into platforms providing visually immersive instructional content. Despite its utility across these sectors, successful deployment of this AI model would require attention to fair usage rights, potential misuse or abuse, and ethical considerations around user data and privacy.



Cost per run
Avg run time

Creator Models

Realvisxl2 Lora Inference$?1,987
Wizardcoder 15b V1$?459
Vicuna 13b V1.3$?3,554
Wizardcoder Python 34b V1.0$?830

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Try it!

You can use this area to play around with demo applications that incorporate the Video Crafter model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.


Summary of this model and related resources.

Model NameVideo Crafter
Open diffusion model for high-quality video generation
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

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How much does it cost to run this model? How long, on average, does it take to complete a run?

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