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The config attributes {'decay': 0.9999, 'inv_gamma': 1.0, 'min_decay': 0.0, 'optimization_step': 37000, 'power': 0.6666666666666666, 'update_after_step': 0, 'use_ema_warmup': False} were passed to UNet2DConditionModel, but are not expected and will be ignored. Please verify your config.json configuration file. Killed #64
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killed means not enough RAM usually |
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well we have even 8 GB VRAM working version even if you dont have sufficient RAM it should work with virtual RAM for Windows : https://youtu.be/m4pcIeAVQD0 |
I get same error while tring to run command python gradio_demo/app.py But i have 16 GB RAM and every time when i run this command it acquirer all 16 GB ram and it caused my pc was hanged. |
the same. Have u solved the problem? |
I have 64g of RAM and 24g of GPU memory, but the same error message appears. It's puzzling. |
@longding717 yeah while doing setup it eataways time but it actually works , |
Getting the same issue. Laptop config= 8 cores CPU, 1660 4gb RAM GeforceGTX GPU, 16 GB RAM and 512GB SSD. Any possible fix to the issue please help me out. |
@Utkarsh13tiwari can u share error ? |
@SailochanaR The config attributes {'decay': 0.9999, 'inv_gamma': 1.0, 'min_decay': 0.0, 'optimization_step': 37000, 'power': 0.6666666666666666, 'update_after_step': 0, 'use_ema_warmup': False} were passed to UNet2DConditionModel, but are not expected and will be ignored. Please verify your config.json configuration file. Killed there is no error, but seems to some problem with memory according to the previous comments/suggestions. Look the above warning |
@Utkarsh13tiwari |
@SailochanaR So whats the possible fix? should i use AWS ec2 instance for running the API? How did you overcome the error? |
@Utkarsh13tiwari yes . |
Thanks for your great work.
I tried to run gradio demo on ubuntu with cuda 11.8 but got error.
Please help me!
Thanks.
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