24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
<!--[metadata]
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title = "Vista driving world model"
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tags = ["2D", "Diffusion", "HuggingFace", "Video"]
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source = "https://github.com/rerun-io/hf-example-vista"
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thumbnail = "https://static.rerun.io/vista/1db07fa2bffee2351066e1768be5c7c72f9af0aa/480w.png"
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thumbnail_dimensions = [480, 480]
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-->
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https://vimeo.com/969623509?autoplay=1&loop=1&autopause=0&background=1&muted=1&ratio=2802:1790
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## Background
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Vista is a generative driving world model. Built on Stable Video Diffusion it can generate driving scenes conditioned on a single input image and optional, additional control inputs. In this example we visualize the latent diffusion steps and the generated, decoded image sequence.
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## Run the code
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This is an external example, check the [repository](https://github.com/rerun-io/hf-example-vista) for more information.
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You can try the example on Rerun's HuggingFace space [here](https://huggingface.co/spaces/rerun/Vista).
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If you have a GPU with ~20GB of memory you can run the example locally. To do so, clone the repo and run:
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```
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pixi run example
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```
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