Spaces:
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title: README | |
emoji: π | |
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sdk: static | |
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# ZeroGPU Spaces | |
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<span style="font-weight: 600;">π¨ NEW - Setember 2024 Update</span>: check what's new in this <a class="underline" target="_blank" href="https://huggingface.co/spaces/zero-gpu-explorers/README/discussions/107" style="color: inherit;">discussion</a>. | |
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<span style="font-weight: 600;">ZeroGPU is currently in beta:</span> | |
<ul class="list-disc list-inside pl-8"> | |
<li>It's available for everyone to use for free: <a class="underline" target="_blank" href="https://huggingface.co/spaces/enzostvs/zero-gpu-spaces">Browse dedicated Spaces list</a>.</li> | |
<li>Hosting ZeroGPU Spaces is available for <a class="underline" target="_blank" href="https://huggingface.co/subscribe/pro">PRO</a> users or <a class="underline" target="_blank" href="https://huggingface.co/enterprise">Enterprise</a> organizations.</li> | |
<li><a class="underline" target="_blank" href="https://huggingface.co/subscribe/pro">PRO</a> users also get x5 more daily usage quota and highest priority in GPU queues when using any ZeroGPU Spaces.</li> | |
</ul> | |
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<span style="font-weight: 600;">Please share your feedback about ZeroGPU</span> in the <a class="underline" target="_blank" href="https://huggingface.co/spaces/zero-gpu-explorers/README/discussions" style="color: inherit;">Community tab</a>. | |
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<span style="font-weight: 600;">ZeroGPU works great with Dev Mode.</span> Learn more about <a target="_blank" href="https://huggingface.co/spaces/dev-mode-explorers/README" class="underline">Dev Mode</a>. | |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/cAlvAOu9QC547zrmRVpS5.gif" style="width: 100%; max-width:950px"/> | |
*ZeroGPU* is a new kind of hardware for Spaces. | |
It has two goals : | |
- Provide **free GPU access** for Spaces | |
- Allow Spaces to run on **multiple GPUs** | |
This is achieved by making Spaces efficiently hold and release GPUs as needed | |
(as opposed to a classical GPU Space that holds exactly one GPU at any point in time) | |
ZeroGPU uses _Nvidia A100_ GPU devices under the hood (40GB of vRAM are available for each workloads) | |
<img src="https://cdn-uploads.huggingface.co/production/uploads/5f17f0a0925b9863e28ad517/naVZI-v41zNxmGlhEhGDJ.gif" style="width: 100%; max-width:550px"/> | |
## Compatibility | |
*ZeroGPU* Spaces should mostly be compatible with any PyTorch-based GPU Space.<br> | |
Compatibility with high level HF libraries like `transformers` or `diffusers` is slightly more guaranteed<br> | |
That said, ZeroGPU Spaces are not as broadly compatible as classical GPU Spaces and you might still encounter unexpected bugs | |
Also, for now, ZeroGPU Spaces only works with the **Gradio SDK** | |
Supported versions: | |
- Gradio: 4+ | |
- PyTorch: `2.0.1`, `2.1.2`, `2.2.2` and `2.4.0` (2.3.x is not supported due to a PyToch [bug](https://github.com/pytorch/pytorch/issues/122085)) | |
- Python: `3.10.13` | |
## Usage | |
In order to make your Space work with ZeroGPU you need to **decorate** the Python functions that actually require a GPU with `@spaces.GPU`<br> | |
During the time when a decorated function is invoked, the Space will be attributed a GPU, and it will release it upon completion of the function.<br> | |
Here is a practical example : | |
```diff | |
+import spaces | |
from diffusers import DiffusionPipeline | |
pipe = DiffusionPipeline.from_pretrained(...) | |
pipe.to('cuda') | |
+@spaces.GPU | |
def generate(prompt): | |
return pipe(prompt).images | |
gr.Interface( | |
fn=generate, | |
inputs=gr.Text(), | |
outputs=gr.Gallery(), | |
).launch() | |
``` | |
1. We first `import spaces` (importing it first might prevent some issues but is not mandatory) | |
2. Then we decorate the `generate` function by adding a `@spaces.GPU` line before its definition | |
Note that `@spaces.GPU` is effect-free and can be safely used on non-ZeroGPU environments | |
## Duration | |
If you expect your GPU function to take more than __60s__ then you need to specify a `duration` param in the decorator like: | |
```python | |
@spaces.GPU(duration=120) | |
def generate(prompt): | |
return pipe(prompt).images | |
``` | |
It will set the maximum duration of your function call to 120s. | |
You can also specify a duration if you know that your function will take far less than the 60s default. | |
The lower the duration, the higher priority your Space visitors will have in the queue | |
## Getting Started | |
To **explore and use existing ZeroGPU Spaces**, browse the following list: https://huggingface.co/spaces/enzostvs/zero-gpu-spaces | |
To **create and host your own ZeroGPU Spaces**: | |
- For personal accounts: | |
- <a href="https://huggingface.co/settings/billing/subscription" target="_blank">Subscribe to PRO</a>. Once subscribed, ZeroGPU will appear in the hardware list on <a href="https://huggingface.co/new-space" target="_blank">New Space page</a> when you select the Gradio SDK. | |
- For organizations: | |
- <a href="https://huggingface.co/enterprise" target="_blank">Subscribe to the Enterprise Hub</a>. This will enable you to host and collaborate on ZeroGPU Spaces with all your organization members. | |
## Limitations | |
**Personal accounts** (PRO subscribers) can host up to 10 ZeroGPU Spaces. | |
**Organization accounts** subscribed to the Enterprise Hub can host up to 50 ZeroGPU Spaces. | |
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<style> | |
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