Spaces:
Running
Running
dasghost65536
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Update README.md
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README.md
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@@ -11,12 +11,36 @@ python_version: 3.10.6
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duplicated_from: DreamSunny/stable-diffusion-webui-cpu
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---
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By default, this space is running on CPU, which might be slow and certain features may or may not work at all.
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If you want to run it on GPU, you must duplicate this space first, after that,
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upgrade your newly duplicated space to run it on a GPU.
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Do keep in mind that its default startup settings are geared towards running it on CPU (and CPU upgrade),
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so check up with the source code (its the app dot py file) that runs this space to read instructions on how to
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change startup settings that are geared towards running it on an upgraded GPU.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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duplicated_from: DreamSunny/stable-diffusion-webui-cpu
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---
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This space is duplicated from DreamSunny's space, except that I've thrown in some
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quality of life improvements, disabled some extensions (especially the ones that required
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a GPU, but yet works on CPU, but awfully slow or don't work at all), different selection
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of checkpoint models compared to the original space (including optional ones to install),
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bug fixes in terms of how the original author of the space coded (Loras not showing up on
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Lora tab for example), as well as a few nice extensions that could be useful in some way.
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The most important one (but optional) is that there is now an option to change startup code
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geared towards running it on GPU, but it's not tested a lot sadly, more on that little later.
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This can be viewed as a better version of the original space, of which this space was
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originally duplicated from. Credits to the original author of that space that made this
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possible that made this space exist in the first space.
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By default, this space is running on CPU, which might be slow and certain features may or may not work at all.
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If you want to run it on GPU, you must duplicate this space first, after that,
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upgrade your newly duplicated space to run it on a GPU.
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Using Stable Diffusion XL-based checkpoint models when a space is running CPU-powered is unfortunately not supported and may actually crash
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the whole space (it might get a connection time out I think) if one tries to do so (be it edited by its source code or downloaded via
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the use of extensions installed by default), so basically it's probably clear that the only actual way (as far as I am aware of) to use
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SDXL-based checkpoints is to in fact upgrade it to GPU in order to use them without any kinds of issues.
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Do keep in mind that its default startup settings are geared towards running it on CPU (and CPU upgrade),
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so check up with the source code (its the app dot py file) that runs this space to read instructions on how to
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change startup settings that are geared towards running it on an upgraded GPU.
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Another thing to point out is that unfortunately, the option to change startup settings to run it
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on GPU is not actually tested at all, so it'd be of great help if you can help test out that option
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by at least duplicating this space, change the source code by reading the instructions, and
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upgrading a newly duplicated space to run it on a GPU to test if it's working well or not.
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I could provide a few startup options, if necessary, in the source code if I get some kind
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of feedback depending on the hardware upgrade options in question they used.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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