Add Web Demo & Docker environment

[chenxwh]

This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.

This also means we can make a web page where other people can try out your model! View it here: https://replicate.com/energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch. You can find the docker file under the tab ‘Run on your own computer’.

We have added some examples to the page, but do claim the page so you can own the page, customise the Example gallery as you like, push any future update to the web demo, and we'll feature it on our website and tweet about it too. You can find the 'Claim this model' button on the top of the page ~ When the page is claimed, it will be automatically linked to the arXiv website as well (under “Demos”)

In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊

[nanlliu]

hi i think it would be great! im just wondering if we can run multiple models on your webpage since we also show that we can compose stable diffusion model.

[chenxwh]

Hi, you can create as many demo pages as you like on Replicate. The document here https://github.com/replicate/cog and the demonstration in this PR should help you with deploying and updating any models. We look forward to seeing your stable-diffusion composed model hosted on Replicate!

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From: Nan Liu @.> Sent: Thursday, September 1, 2022 3:05:44 AM To: energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch @.> Cc: Chenxi @.>; Author @.> Subject: Re: [energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch] Add Web Demo & Docker environment (PR #2)

hi i think it would be great! im just wondering if we can run multiple models on your webpage since we also show that we can compose stable diffusion model.

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