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for 1024 resolution - I seem to get CUDA OOM on an A100 40GB machine. Does it make sense? How much memory is needed?
The text was updated successfully, but these errors were encountered:
LLaMa-7B utilize lots of GPU memory. Currently, A100 80 GB is a must for inference.
We will release a model using CLIP or Gemma-2B soon. Please keep an eye on the final version of LargeDiT-T2I https://github.com/Alpha-VLLM/Lumina-T2X/
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for 1024 resolution - I seem to get CUDA OOM on an A100 40GB machine. Does it make sense?
How much memory is needed?
The text was updated successfully, but these errors were encountered: