mention
@victor
victor
text
 Sorry for the repetitiveness.
 Sorry for the repetitiveness.
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I'm not sure if Post is the right place to report such an error, but it seems to be a server error unrelated to the Zero GPU space error the other day, so I don't know where else to report it.
I'm not sure if Post is the right place to report such an error, but it seems to be a server error unrelated to the Zero GPU space error the other day, so I don't know where else to report it.
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Since this morning, I have been getting a strange error when running inference from space in Gradio 3.x.
Since this morning, I have been getting a strange error when running inference from space in Gradio 3.x.
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Yntec (
Yntec (
link
https://huggingface.co/Yntec
https://huggingface.co/Yntec
text
) discovered it, but he is not in the Pro subscription, so I am reporting it on behalf of him.
) discovered it, but he is not in the Pro subscription, so I am reporting it on behalf of him.
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The error message is as follows: 1girl and other prompts will show cached output, so experiment with unusual prompts.
The error message is as follows: 1girl and other prompts will show cached output, so experiment with unusual prompts.
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Thank you in advance.
Thank you in advance.
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resource
https://huggingface.co/spaces/John6666/blitz_diffusion_error
space
John6666/blitz_diffusion_error
https://huggingface.co/spaces/John6666/blitz_diffusion_error
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resource
https://huggingface.co/spaces/John6666/GPU-stresser-t2i-error
space
John6666/GPU-stresser-t2i-error
https://huggingface.co/spaces/John6666/GPU-stresser-t2i-error
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code_fence
```
ValueError: Could not complete request to HuggingFace API, Status Code: 500, Error: unknown error, Warnings: ['CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF', 'There was an inference error: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF']
```
ValueError: Could not complete request to HuggingFace API, Status Code: 500, Error: unknown error, Warnings: ['CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF', 'There was an inference error: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF']
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@victor Sorry for the repetitiveness.

I'm not sure if Post is the right place to report such an error, but it seems to be a server error unrelated to the Zero GPU space error the other day, so I don't know where else to report it.

Since this morning, I have been getting a strange error when running inference from space in Gradio 3.x.
Yntec (https://huggingface.co/Yntec) discovered it, but he is not in the Pro subscription, so I am reporting it on behalf of him.

The error message is as follows: 1girl and other prompts will show cached output, so experiment with unusual prompts.

Thank you in advance.

https://huggingface.co/spaces/John6666/blitz_diffusion_error
https://huggingface.co/spaces/John6666/GPU-stresser-t2i-error
```
ValueError: Could not complete request to HuggingFace API, Status Code: 500, Error: unknown error, Warnings: ['CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF', 'There was an inference error: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.75 GiB total capacity; 1.90 GiB already allocated; 3.06 MiB free; 1.95 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF']
```

👀
victor julien-c AtAndDev
https://cdn-avatars.huggingface.co/v1/production/uploads/63239b8370edc53f51cd5d42/88od0k-AAkxAIV-5ULwDs.png
Yn Tec
Yntec
user
https://cdn-avatars.huggingface.co/v1/production/uploads/5f17f0a0925b9863e28ad517/X7QKoiXbUtEZSG9jyvfk3.jpeg
Victor Mustar
victor
user
https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png
John Smith
John6666
user
https://cdn-avatars.huggingface.co/v1/production/uploads/1621947938344-noauth.png
Abubakar Abid
abidlabs
user
/avatars/6bd14f36bf31ddc8c86cddd6d39d920e.svg
Juandiego Morzan
jdmorzan
user