Replies: 8 comments 6 replies
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The error codes are the same, but it's strange that the Web UI can eventually be accessed via http://127.0.0.1:7860/. Error setting up CodeFormer: |
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me too , have u got solved |
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there is no get_device function in basicsr.utils.misc.py anymore. I saw multiple references to it. |
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then where is get_device function? |
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(sdwebui) D:\stable-diffusion-webui>webui-user.bat Loading weights [fc2511737a] from D:\stable-diffusion-webui\models\Stable-diffusion\chilloutmix_NiPrunedFp32Fix.safetensors |
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When I click on 'genarater' I get an error: Something went wrong Expecting value: line 1 column 1 (char 0) |
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it doesn't work |
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A rude method is just copy the following code into the directory：basicsr\utils\misc.py import torch def gpu_is_available(): |
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@mmosir I know what the issue is. In requirememts_versions.txt: we have And the CodeFormers repo contains its own version of diff -u basicsr/utils/misc.py /home/kayvan/.miniconda3/envs/sd/lib/python3.10/site-packages/basicsr/utils/misc.py
--- basicsr/utils/misc.py 2023-05-07 07:23:54.494896600 -0700
+++ /home/kayvan/.miniconda3/envs/sd/lib/python3.10/site-packages/basicsr/utils/misc.py 2023-05-07 09:25:48.603644727 -0700
@@ -1,35 +1,11 @@
+import numpy as np
import os
-import re
import random
import time
import torch
-import numpy as np
from os import path as osp
from .dist_util import master_only
-from .logger import get_root_logger
-
-IS_HIGH_VERSION = [int(m) for m in list(re.findall(r"^([0-9]+)\.([0-9]+)\.([0-9]+)([^0-9][a-zA-Z0-9]*)?(\+git.*)?$",\
- torch.__version__)[0][:3])] >= [1, 12, 0]
-
-def gpu_is_available():
- if IS_HIGH_VERSION:
- if torch.backends.mps.is_available():
- return True
- return True if torch.cuda.is_available() and torch.backends.cudnn.is_available() else False
-
-def get_device(gpu_id=None):
- if gpu_id is None:
- gpu_str = ''
- elif isinstance(gpu_id, int):
- gpu_str = f':{gpu_id}'
- else:
- raise TypeError('Input should be int value.')
-
- if IS_HIGH_VERSION:
- if torch.backends.mps.is_available():
- return torch.device('mps'+gpu_str)
- return torch.device('cuda'+gpu_str if torch.cuda.is_available() and torch.backends.cudnn.is_available() else 'cpu')
def set_random_seed(seed):
@@ -67,7 +43,9 @@
else:
mkdir_and_rename(path_opt.pop('results_root'))
for key, path in path_opt.items():
- if ('strict_load' not in key) and ('pretrain_network' not in key) and ('resume' not in key):
+ if ('strict_load' in key) or ('pretrain_network' in key) or ('resume' in key) or ('param_key' in key):
+ continue
+ else:
os.makedirs(path, exist_ok=True)
@@ -84,7 +62,7 @@
Default: False.
Returns:
- A generator for all the interested files with relative pathes.
+ A generator for all the interested files with relative paths.
"""
if (suffix is not None) and not isinstance(suffix, (str, tuple)):
@@ -120,7 +98,6 @@
opt (dict): Options.
resume_iter (int): Resume iteration.
"""
- logger = get_root_logger()
if opt['path']['resume_state']:
# get all the networks
networks = [key for key in opt.keys() if key.startswith('network_')]
@@ -129,15 +106,22 @@
if opt['path'].get(f'pretrain_{network}') is not None:
flag_pretrain = True
if flag_pretrain:
- logger.warning('pretrain_network path will be ignored during resuming.')
+ print('pretrain_network path will be ignored during resuming.')
# set pretrained model paths
for network in networks:
name = f'pretrain_{network}'
basename = network.replace('network_', '')
- if opt['path'].get('ignore_resume_networks') is None or (basename
+ if opt['path'].get('ignore_resume_networks') is None or (network
not in opt['path']['ignore_resume_networks']):
opt['path'][name] = osp.join(opt['path']['models'], f'net_{basename}_{resume_iter}.pth')
- logger.info(f"Set {name} to {opt['path'][name]}")
+ print(f"Set {name} to {opt['path'][name]}")
+
+ # change param_key to params in resume
+ param_keys = [key for key in opt['path'].keys() if key.startswith('param_key')]
+ for param_key in param_keys:
+ if opt['path'][param_key] == 'params_ema':
+ opt['path'][param_key] = 'params'
+ print(f'Set {param_key} to params')
def sizeof_fmt(size, suffix='B'):
@@ -148,7 +132,7 @@
suffix (str): Suffix. Default: 'B'.
Return:
- str: Formated file siz.
+ str: Formatted file size.
"""
for unit in ['', 'K', 'M', 'G', 'T', 'P', 'E', 'Z']:
if abs(size) < 1024.0: |
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In "retinaface.py" In "face_restoration_helper.py" |
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This is puzzling: sczhou/CodeFormer#194 I have the latest CodeFormer from the repo in Maybe some other basicsr library is loaded? |
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I solved this problem, just downloaded 3 models offline |
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hi, where can i down the models, could you give me a url? |
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download url https://huggingface.co/ziixzz/codeformer-v0.1.0.pth/tree/main |
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root@zeyun:~/stable-diffusion-webui# python3 webui.py --api --listen --no-half-vae --xformers
Warning: k_diffusion not found at path /root/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py
/usr/lib/python3/dist-packages/pkg_resources/init.py:116: PkgResourcesDeprecationWarning: 1.1build1 is an invalid version and will not be supported in a future release
warnings.warn(
/usr/lib/python3/dist-packages/pkg_resources/init.py:116: PkgResourcesDeprecationWarning: 0.1.43ubuntu1 is an invalid version and will not be supported in a future release
warnings.warn(
Error setting up CodeFormer:
Traceback (most recent call last):
File "/root/stable-diffusion-webui/modules/codeformer_model.py", line 38, in setup_model
from facelib.utils.face_restoration_helper import FaceRestoreHelper
File "/root/stable-diffusion-webui/repositories/CodeFormer/facelib/utils/face_restoration_helper.py", line 7, in
from facelib.detection import init_detection_model
File "/root/stable-diffusion-webui/repositories/CodeFormer/facelib/detection/init.py", line 10, in
from .retinaface.retinaface import RetinaFace
File "/root/stable-diffusion-webui/repositories/CodeFormer/facelib/detection/retinaface/retinaface.py", line 14, in
from basicsr.utils.misc import get_device
ImportError: cannot import name 'get_device' from 'basicsr.utils.misc' (/usr/local/lib/python3.10/dist-packages/basicsr/utils/misc.py)
Loading weights [89d59c3dde] from /root/stable-diffusion-webui/models/Stable-diffusion/final-prune.ckpt
Creating model from config: /root/stable-diffusion-webui/configs/v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Loading VAE weights found near the checkpoint: /root/stable-diffusion-webui/models/Stable-diffusion/final-prune.vae.pt
Applying xformers cross attention optimization.
Textual inversion embeddings loaded(0):
Model loaded in 6.5s (load weights from disk: 2.5s, create model: 0.5s, apply weights to model: 0.4s, apply half(): 0.4s, load VAE: 2.1s, move model to device: 0.6s).
Running on local URL: http://0.0.0.0:7860
To create a public link, set
share=Trueinlaunch().Please give help~~ thanks
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