Hi,
I'm new to diffusion stuffs. What's the correct way to download and place pretrained SD-2-base? I downloaded 512-base-ema.ckpt and put it to preset/models/stable-diffusion-2-base, but I got the following error.
Traceback (most recent call last):
File "test_addsr.py", line 265, in
main(args)
File "test_addsr.py", line 162, in main
pipeline = load_addsr_pipeline(args, accelerator, enable_xformers_memory_efficient_attention)
File "test_addsr.py", line 73, in load_addsr_pipeline
scheduler = DDPMScheduler.from_pretrained(args.pretrained_model_path, subfolder="scheduler")
File "/flash/zhihaoz/conda/envs/addsr2/lib/python3.8/site-packages/diffusers/schedulers/scheduling_utils.py", line 140, in from_pretrained
config, kwargs, commit_hash = cls.load_config(
File "/flash/zhihaoz/conda/envs/addsr2/lib/python3.8/site-packages/diffusers/configuration_utils.py", line 364, in load_config
raise EnvironmentError(
OSError: Error no file named scheduler_config.json found in directory preset/models/stable-diffusion-2-base.
Thanks.
Hi,
I'm new to diffusion stuffs. What's the correct way to download and place pretrained SD-2-base? I downloaded 512-base-ema.ckpt and put it to preset/models/stable-diffusion-2-base, but I got the following error.
Traceback (most recent call last):
File "test_addsr.py", line 265, in
main(args)
File "test_addsr.py", line 162, in main
pipeline = load_addsr_pipeline(args, accelerator, enable_xformers_memory_efficient_attention)
File "test_addsr.py", line 73, in load_addsr_pipeline
scheduler = DDPMScheduler.from_pretrained(args.pretrained_model_path, subfolder="scheduler")
File "/flash/zhihaoz/conda/envs/addsr2/lib/python3.8/site-packages/diffusers/schedulers/scheduling_utils.py", line 140, in from_pretrained
config, kwargs, commit_hash = cls.load_config(
File "/flash/zhihaoz/conda/envs/addsr2/lib/python3.8/site-packages/diffusers/configuration_utils.py", line 364, in load_config
raise EnvironmentError(
OSError: Error no file named scheduler_config.json found in directory preset/models/stable-diffusion-2-base.
Thanks.