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Apply for community grant: Academic project (gpu and storage)
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.
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"})
I'm seeing an error about
flash-attn
. I think you can install it in yourapp.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