sd3去做DreamBooth微调时候，运行报错缺失pp-peft

[knoka812]

昨天使用sd3去做DreamBooth微调时候，它运行一直报错这个

If your task is similar to the task the model of the checkpoint was trained on,you can already use T5EncoderModel for predictions without further training
All model checkpoint weights were used when initializing AutoencoderKL.
All the weights of AutoencoderKL were initialized from the model checkpoint at stabilityai/stable-diffusion-3-medium-diffusers.
If your task is similar to the task the model of the checkpoint was trained on,you can already use AutoencoderKL for predictions without further training.
All model checkpoint weights were used when initializing SD3Transformer2DModel.
All the weights of SD3Transformer2DModel were initialized from the model checkpoint at stabilityai/stable-diffusion-3-medium-diffusers.
If your task is similar to the task the model of the checkpoint was trained on,you can already use SD3Transformer2DModel for predictions without further training
Traceback (most recent call last):
File "/home/istudio/PaddleMIX/ppdiffusers/examples/dreambooth/train_dreambooth_lora_sd3.py",line 1571,in
main(args)
File "/home/aistudio/PaddleMIX/ppdiffusers/examples/dreambooth/train_dreambooth_lora_sd3.py",line 1058,in main
transformer.add_adapter(transformer lora_config)
File "/home/aistudio/.local/lib/python3.10/site-packages/ppdiffusers/models/modeling_utils.py",line 349,in add_adapter
check_peft_version(min_version=MIN_PEFT_VERSION)
File "/home/aistudio/.local/lib/python3.10/site-packages/ppdiffusers/utils/peft_utils.py",line 259,in check_peft_version
raise ValueError("PP-PEFT is not installed.Please install it with 'pip install -U ppdiffusers'")
ValueError:PP-PEFT is not installed.Please install it with 'pip install -U ppdiffusers'

但是前面检查过ppdiffusers也有安装，版本是0.29的，重启内核也不行
是因为0.29的删去了这个pp-peft了吗

[knoka812]

换成sdxl是没问题

[knoka812]

解决了那个，然后报错这个，用的环境是a100 40g那个

File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1532, in call
return self.forward(*inputs, **kwargs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/ppdiffusers/transformers/clip/modeling.py", line 382, in forward
hidden_states, attn_weights = self.self_attn(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1532, in call
return self.forward(*inputs, **kwargs)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/ppdiffusers/transformers/clip/modeling.py", line 307, in forward
attn_weights = F.softmax(attn_weights, axis=-1)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/nn/functional/activation.py", line 1247, in softmax
return _C_ops.softmax(outs_cast, axis)
OSError: (External) CUDNN error(4), CUDNN_STATUS_INTERNAL_ERROR.
[Hint: 'CUDNN_STATUS_INTERNAL_ERROR'. An internal cuDNN operation failed. ] (at ../paddle/phi/backends/gpu/gpu_resources.cc:315)