jbilcke-hf HF Staff commited on
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add some news

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  1. README.md +13 -5
README.md CHANGED
@@ -21,15 +21,15 @@ VMS is a Gradio app that wraps around Finetrainers, to provide a simple UI to tr
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  You can deploy it to a private space, and start long-running training jobs in the background.
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- ### One-user-per-space design
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- Currently CMS can only support one training job at a time, anybody with access to your Gradio app will be able to upload or delete everything etc.
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- This means you have to run VMS in a *PRIVATE* HF Space, or locally if you require full privacy.
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- ### Similar projects
 
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- I wasn't aware of its existence when I started my project, but there is also this open-source initiative: https://github.com/alisson-anjos/diffusion-pipe-ui
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  ## Features
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@@ -74,6 +74,14 @@ It requires about 47~49 Gb of VRAM, depending on your settings.
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  Do you want support for this one? Let me know in the comments!
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  ## Deployment
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  VMS is built on top of Finetrainers and Gradio, and designed to run as a Hugging Face Space (but you can deploy it anywhere that has a NVIDIA GPU and supports Docker).
 
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  You can deploy it to a private space, and start long-running training jobs in the background.
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+ ### Similar projects
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+ I wasn't aware of its existence when I started my project, but there is also this open-source initiative: https://github.com/alisson-anjos/diffusion-pipe-ui
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+ ## News
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+ - 🔥 **2025-02-18**: I am working to add better recovery in case of a failed run (this is still in beta)
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+ - 🔥 **2025-02-18**: I have added persistence of UI settings. So if you reload Gradio, you won't lose your settings!
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  ## Features
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  Do you want support for this one? Let me know in the comments!
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+ ## Limitations
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+ ### One-user-per-space design
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+ Currently CMS can only support one training job at a time, anybody with access to your Gradio app will be able to upload or delete everything etc.
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+ This means you have to run VMS in a *PRIVATE* HF Space, or locally if you require full privacy.
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  ## Deployment
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  VMS is built on top of Finetrainers and Gradio, and designed to run as a Hugging Face Space (but you can deploy it anywhere that has a NVIDIA GPU and supports Docker).