Comments (4)
suzhenghang
commented on May 27, 2024
1
Thanks，I solved this issue by disabling xformers during training. In the previous v1 version, I had it enabled. Reference link
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ExponentialML
commented on May 27, 2024
@suzhenghang No I haven't. What type of setup are you running on? (GPU, CPU, Python version, etc.)
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ExponentialML
commented on May 27, 2024
Thanks，I solved this issue by disabling xformers during training. In the previous v1 version, I had it enabled. Reference link
Glad you solved it! I have tried Xformers with Torch 2.0 and while it does work without NaN loss, I don't see any initial improvement. If you ever think about trying it, it should work.
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Rbrq03
commented on May 27, 2024
I encountered this issue as well. It appears to be a problem with version2 when using fp16. Disabling mixed precision can resolve the issue. However, I'm not certain about the exact cause of the problem.
@ExponentialML If you're looking to address this issue, I'd be happy to provide more information to help you reproduce the bug. For anyone else facing this problem, disabling mixed precision might be the best solution.
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Related Issues (20)
- webui Lora Might be causing errors in checkpoint models. HOT 3
- How to train with folder video HOT 1
- Which paper? HOT 1
- RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1, 1, 512] because the unspecified dimension size -1 can be any value and is ambiguous HOT 3
- Does this code support native finetune for damo text to video model? HOT 2
- AttributeError: 'Tensor' object has no attribute 'config' HOT 5
- How can I run the fine-tuning on a GPU with <= 16GB of VRAM? HOT 3
- I have some doubts about the framework HOT 4
- A typo
- TypeError: Linear.forward() got an unexpected keyword argument 'scale' HOT 6
- wrong norm method HOT 1
- issues on train.py HOT 1
- [inference] latents_window index error HOT 1
- Two forward passes in finetune_unet HOT 1
- Lora on ResnetBlock2D in modelscope model HOT 1
- Can the videocomposer model be adapted to this training framework?
- Normal finetuning instead of LoRA
- ControlNet
- error of "from accelerate.logging import get_logger" HOT 2
- finetune train error of "UnboundLocalError: local variable 'use_offset_noise' referenced before assignment" HOT 2
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