r3gm commited on
Commit
16c7b7d
1 Parent(s): 626bafd

Update utils.py

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Files changed (1) hide show
  1. utils.py +166 -15
utils.py CHANGED
@@ -13,10 +13,72 @@ from diffusers import DiffusionPipeline
13
  from huggingface_hub import model_info as model_info_data
14
  from diffusers.pipelines.pipeline_loading_utils import variant_compatible_siblings
15
  from pathlib import PosixPath
 
 
 
 
 
 
16
 
 
17
 
18
- def download_things(directory, url, hf_token="", civitai_api_key=""):
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  url = url.strip()
 
20
 
21
  if "drive.google.com" in url:
22
  original_dir = os.getcwd()
@@ -29,21 +91,96 @@ def download_things(directory, url, hf_token="", civitai_api_key=""):
29
  if "/blob/" in url:
30
  url = url.replace("/blob/", "/resolve/")
31
  user_header = f'"Authorization: Bearer {hf_token}"'
 
 
 
32
  if hf_token:
33
- os.system(f"aria2c --console-log-level=error --summary-interval=10 --header={user_header} -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
34
  else:
35
- os.system(f"aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 {url} -d {directory} -o {url.split('/')[-1]}")
 
 
 
36
  elif "civitai.com" in url:
37
- if "?" in url:
38
- url = url.split("?")[0]
39
- if civitai_api_key:
40
- url = url + f"?token={civitai_api_key}"
41
- os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
42
- else:
43
  print("\033[91mYou need an API key to download Civitai models.\033[0m")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
44
  else:
45
  os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
46
 
 
 
47
 
48
  def get_model_list(directory_path):
49
  model_list = []
@@ -102,13 +239,17 @@ def extract_parameters(input_string):
102
  return parameters
103
 
104
 
105
- def get_my_lora(link_url):
106
  for url in [url.strip() for url in link_url.split(',')]:
107
  if not os.path.exists(f"./loras/{url.split('/')[-1]}"):
108
- download_things(DIRECTORY_LORAS, url, HF_TOKEN, CIVITAI_API_KEY)
109
  new_lora_model_list = get_model_list(DIRECTORY_LORAS)
110
  new_lora_model_list.insert(0, "None")
111
  new_lora_model_list = new_lora_model_list + DIFFUSERS_FORMAT_LORAS
 
 
 
 
112
 
113
  return gr.update(
114
  choices=new_lora_model_list
@@ -120,7 +261,9 @@ def get_my_lora(link_url):
120
  choices=new_lora_model_list
121
  ), gr.update(
122
  choices=new_lora_model_list
123
- ),
 
 
124
 
125
 
126
  def info_html(json_data, title, subtitle):
@@ -148,9 +291,17 @@ def get_model_type(repo_id: str):
148
  return default
149
 
150
 
151
- def restart_space(repo_id: str, factory_reboot: bool, token: str):
152
- api = HfApi(token=token)
153
- api.restart_space(repo_id=repo_id, factory_reboot=factory_reboot)
 
 
 
 
 
 
 
 
154
 
155
 
156
  def extract_exif_data(image):
 
13
  from huggingface_hub import model_info as model_info_data
14
  from diffusers.pipelines.pipeline_loading_utils import variant_compatible_siblings
15
  from pathlib import PosixPath
16
+ from unidecode import unidecode
17
+ import urllib.parse
18
+ import copy
19
+ import requests
20
+ from requests.adapters import HTTPAdapter
21
+ from urllib3.util import Retry
22
 
23
+ USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
24
 
25
+
26
+ def request_json_data(url):
27
+ model_version_id = url.split('/')[-1]
28
+ if "?modelVersionId=" in model_version_id:
29
+ match = re.search(r'modelVersionId=(\d+)', url)
30
+ model_version_id = match.group(1)
31
+
32
+ endpoint_url = f"https://civitai.com/api/v1/model-versions/{model_version_id}"
33
+
34
+ params = {}
35
+ headers = {'User-Agent': USER_AGENT, 'content-type': 'application/json'}
36
+ session = requests.Session()
37
+ retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
38
+ session.mount("https://", HTTPAdapter(max_retries=retries))
39
+
40
+ try:
41
+ result = session.get(endpoint_url, params=params, headers=headers, stream=True, timeout=(3.0, 15))
42
+ result.raise_for_status()
43
+ json_data = result.json()
44
+ return json_data if json_data else None
45
+ except Exception as e:
46
+ print(f"Error: {e}")
47
+ return None
48
+
49
+
50
+ class ModelInformation:
51
+ def __init__(self, json_data):
52
+ self.model_version_id = json_data.get("id", "")
53
+ self.model_id = json_data.get("modelId", "")
54
+ self.download_url = json_data.get("downloadUrl", "")
55
+ self.model_url = f"https://civitai.com/models/{self.model_id}?modelVersionId={self.model_version_id}"
56
+ self.filename_url = next(
57
+ (v.get("name", "") for v in json_data.get("files", []) if str(self.model_version_id) in v.get("downloadUrl", "")), ""
58
+ )
59
+ self.filename_url = self.filename_url if self.filename_url else ""
60
+ self.description = json_data.get("description", "")
61
+ if self.description is None: self.description = ""
62
+ self.model_name = json_data.get("model", {}).get("name", "")
63
+ self.model_type = json_data.get("model", {}).get("type", "")
64
+ self.nsfw = json_data.get("model", {}).get("nsfw", False)
65
+ self.poi = json_data.get("model", {}).get("poi", False)
66
+ self.images = [img.get("url", "") for img in json_data.get("images", [])]
67
+ self.example_prompt = json_data.get("trainedWords", [""])[0] if json_data.get("trainedWords") else ""
68
+ self.original_json = copy.deepcopy(json_data)
69
+
70
+
71
+ def retrieve_model_info(url):
72
+ json_data = request_json_data(url)
73
+ if not json_data:
74
+ return None
75
+ model_descriptor = ModelInformation(json_data)
76
+ return model_descriptor
77
+
78
+
79
+ def download_things(directory, url, hf_token="", civitai_api_key="", romanize=False):
80
  url = url.strip()
81
+ downloaded_file_path = None
82
 
83
  if "drive.google.com" in url:
84
  original_dir = os.getcwd()
 
91
  if "/blob/" in url:
92
  url = url.replace("/blob/", "/resolve/")
93
  user_header = f'"Authorization: Bearer {hf_token}"'
94
+
95
+ filename = unidecode(url.split('/')[-1]) if romanize else url.split('/')[-1]
96
+
97
  if hf_token:
98
+ os.system(f"aria2c --console-log-level=error --summary-interval=10 --header={user_header} -c -x 16 -k 1M -s 16 {url} -d {directory} -o {filename}")
99
  else:
100
+ os.system(f"aria2c --optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 {url} -d {directory} -o {filename}")
101
+
102
+ downloaded_file_path = os.path.join(directory, filename)
103
+
104
  elif "civitai.com" in url:
105
+
106
+ if not civitai_api_key:
 
 
 
 
107
  print("\033[91mYou need an API key to download Civitai models.\033[0m")
108
+
109
+ model_profile = retrieve_model_info(url)
110
+ if model_profile.download_url and model_profile.filename_url:
111
+ url = model_profile.download_url
112
+ filename = unidecode(model_profile.filename_url) if romanize else model_profile.filename_url
113
+ else:
114
+ if "?" in url:
115
+ url = url.split("?")[0]
116
+ filename = ""
117
+
118
+ url_dl = url + f"?token={civitai_api_key}"
119
+ print(f"Filename: {filename}")
120
+
121
+ param_filename = ""
122
+ if filename:
123
+ param_filename = f"-o '{filename}'"
124
+
125
+ aria2_command = (
126
+ f'aria2c --console-log-level=error --summary-interval=10 -c -x 16 '
127
+ f'-k 1M -s 16 -d "{directory}" {param_filename} "{url_dl}"'
128
+ )
129
+ os.system(aria2_command)
130
+
131
+ if param_filename and os.path.exists(os.path.join(directory, filename)):
132
+ downloaded_file_path = os.path.join(directory, filename)
133
+
134
+ # # PLAN B
135
+ # # Follow the redirect to get the actual download URL
136
+ # curl_command = (
137
+ # f'curl -L -sI --connect-timeout 5 --max-time 5 '
138
+ # f'-H "Content-Type: application/json" '
139
+ # f'-H "Authorization: Bearer {civitai_api_key}" "{url}"'
140
+ # )
141
+
142
+ # headers = os.popen(curl_command).read()
143
+
144
+ # # Look for the redirected "Location" URL
145
+ # location_match = re.search(r'location: (.+)', headers, re.IGNORECASE)
146
+
147
+ # if location_match:
148
+ # redirect_url = location_match.group(1).strip()
149
+
150
+ # # Extract the filename from the redirect URL's "Content-Disposition"
151
+ # filename_match = re.search(r'filename%3D%22(.+?)%22', redirect_url)
152
+ # if filename_match:
153
+ # encoded_filename = filename_match.group(1)
154
+ # # Decode the URL-encoded filename
155
+ # decoded_filename = urllib.parse.unquote(encoded_filename)
156
+
157
+ # filename = unidecode(decoded_filename) if romanize else decoded_filename
158
+ # print(f"Filename: {filename}")
159
+
160
+ # aria2_command = (
161
+ # f'aria2c --console-log-level=error --summary-interval=10 -c -x 16 '
162
+ # f'-k 1M -s 16 -d "{directory}" -o "{filename}" "{redirect_url}"'
163
+ # )
164
+ # return_code = os.system(aria2_command)
165
+
166
+ # # if return_code != 0:
167
+ # # raise RuntimeError(f"Failed to download file: {filename}. Error code: {return_code}")
168
+ # downloaded_file_path = os.path.join(directory, filename)
169
+ # if not os.path.exists(downloaded_file_path):
170
+ # downloaded_file_path = None
171
+
172
+ # if not downloaded_file_path:
173
+ # # Old method
174
+ # if "?" in url:
175
+ # url = url.split("?")[0]
176
+ # url = url + f"?token={civitai_api_key}"
177
+ # os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
178
+
179
  else:
180
  os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
181
 
182
+ return downloaded_file_path
183
+
184
 
185
  def get_model_list(directory_path):
186
  model_list = []
 
239
  return parameters
240
 
241
 
242
+ def get_my_lora(link_url, romanize):
243
  for url in [url.strip() for url in link_url.split(',')]:
244
  if not os.path.exists(f"./loras/{url.split('/')[-1]}"):
245
+ l_name = download_things(DIRECTORY_LORAS, url, HF_TOKEN, CIVITAI_API_KEY, romanize)
246
  new_lora_model_list = get_model_list(DIRECTORY_LORAS)
247
  new_lora_model_list.insert(0, "None")
248
  new_lora_model_list = new_lora_model_list + DIFFUSERS_FORMAT_LORAS
249
+ msg_lora = "Downloaded"
250
+ if l_name:
251
+ msg_lora += f": <b>{l_name}</b>"
252
+ print(msg_lora)
253
 
254
  return gr.update(
255
  choices=new_lora_model_list
 
261
  choices=new_lora_model_list
262
  ), gr.update(
263
  choices=new_lora_model_list
264
+ ), gr.update(
265
+ value=msg_lora
266
+ )
267
 
268
 
269
  def info_html(json_data, title, subtitle):
 
291
  return default
292
 
293
 
294
+ def restart_space(repo_id: str, factory_reboot: bool):
295
+ api = HfApi(token=os.environ.get("HF_TOKEN"))
296
+ try:
297
+ runtime = api.get_space_runtime(repo_id=repo_id)
298
+ if runtime.stage == "RUNNING":
299
+ api.restart_space(repo_id=repo_id, factory_reboot=factory_reboot)
300
+ print(f"Restarting space: {repo_id}")
301
+ else:
302
+ print(f"Space {repo_id} is in stage: {runtime.stage}")
303
+ except Exception as e:
304
+ print(e)
305
 
306
 
307
  def extract_exif_data(image):