Apply for community grant: Academic project (gpu and storage)

#1
by pan-yl - opened
Scepter Studio org

ACE is a unified foundational model framework that supports a wide range of visual generation tasks. By defining CU for unifying multi-modal inputs across different tasks and incorporating long-context CU, we introduce historical contextual information into visual generation tasks, paving the way for ChatGPT-like dialog systems in visual generation.

In order to facilitate this demonstration and showcase the capabilities of our model effectively, we would greatly appreciate your support in the form of an A100 grant. The A100 GPUs will enable us to harness the full potential of our model, ensuring a smooth and responsive user experience for our demo.

Thank you for considering our request. We are looking forward to the possibility of collaborating with you and contributing to the Hugging Face community.

Hi @pan-yl , we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.

I'm seeing an error about flash-attn. I think you can install it in your app.py by running something like this:

import os
import shlex
import subprocess

subprocess.run(shlex.split('pip install flash-attn --no-build-isolation'), env=os.environ | {'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"})
Scepter Studio org

I'm seeing an error about flash-attn. I think you can install it in your app.py by running something like this:

import os
import shlex
import subprocess

subprocess.run(shlex.split('pip install flash-attn --no-build-isolation'), env=os.environ | {'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"})

Thanks a lot ! I'll try it

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