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这个huggingface的模型地址已经失效、因此我直接使用git clone https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5
在huggingface、新地址下载stable-diffusion-v1-5、将pretrained_model_name_or_path路径改为下载完后的地址、但是仍然出现无法找到vae模型的错误
Unable to load the variant=None of the model from /home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae! Please make sure the specified variant exists and is correct.
Unable to load the variant=fp16 of the model from /home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae! Please make sure the specified variant exists and is correct.
Unable to load the variant=fp32 of the model from /home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae! Please make sure the specified variant exists and is correct.
Traceback (most recent call last):
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/train_txt2img_control_trainer.py", line 101, in
main()
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/train_txt2img_control_trainer.py", line 64, in main
model = ControlNet(model_args)
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/control/model.py", line 66, in init
self.vae = AutoencoderKL.from_pretrained(vae_name_or_path)
File "/usr/local/lib/python3.10/dist-packages/ppdiffusers-0.29.1-py3.10.egg/ppdiffusers/models/modeling_utils.py", line 990, in from_pretrained
assert len(resolved_model_files) > 0, (
AssertionError: We are attempting to load the variant in [None, fp16, fp32]. But unfortunately, no model files were found in the path /home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae. Please check if the provided path is correct and ensure that it contains the necessary model files. If the issue persists, consider redownloading the model files or contacting the model provider for assistance.
你好、飞桨开发人员和用户们、我在尝试使用
export FLAGS_conv_workspace_size_limit=4096
python -u train_txt2img_control_trainer.py
--do_train
--output_dir ./sd15_control
--per_device_train_batch_size 4
--gradient_accumulation_steps 1
--learning_rate 1e-5
--weight_decay 0.02
--lr_scheduler_type "constant"
--warmup_steps 0
--sd_locked True
--max_steps 10000000
--logging_steps 50
--image_logging_steps 400
--save_steps 2000
--save_total_limit 2
--seed 23
--dataloader_num_workers 4
--pretrained_model_name_or_path runwayml/stable-diffusion-v1-5
--max_grad_norm -1
--file_path ./fill50k
--recompute True
--overwrite_output_dir
命令训练controlnet的时候、因为需要下载stable-diffusion-v1-5模型、而官网上
这个huggingface的模型地址已经失效、因此我直接使用git clone https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5
在huggingface、新地址下载stable-diffusion-v1-5、将pretrained_model_name_or_path路径改为下载完后的地址、但是仍然出现无法找到vae模型的错误
Unable to load the
variant=None
of the model from/home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae
! Please make sure the specified variant exists and is correct.Unable to load the
variant=fp16
of the model from/home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae
! Please make sure the specified variant exists and is correct.Unable to load the
variant=fp32
of the model from/home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae
! Please make sure the specified variant exists and is correct.Traceback (most recent call last):
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/train_txt2img_control_trainer.py", line 101, in
main()
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/train_txt2img_control_trainer.py", line 64, in main
model = ControlNet(model_args)
File "/home/PaddleMIX/ppdiffusers/examples/controlnet/control/model.py", line 66, in init
self.vae = AutoencoderKL.from_pretrained(vae_name_or_path)
File "/usr/local/lib/python3.10/dist-packages/ppdiffusers-0.29.1-py3.10.egg/ppdiffusers/models/modeling_utils.py", line 990, in from_pretrained
assert len(resolved_model_files) > 0, (
AssertionError: We are attempting to load the variant in [
None
,fp16
,fp32
]. But unfortunately, no model files were found in the path /home/PaddleMIX/ppdiffusers/runwayml/stable-diffusion-v1-5/vae. Please check if the provided path is correct and ensure that it contains the necessary model files. If the issue persists, consider redownloading the model files or contacting the model provider for assistance.这是我下载的vae模型文件、请问是目前框架不支持现有的huggingface的stable-diffusion-v1-5模型吗
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