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import requests
import os
import gradio as gr
from huggingface_hub import update_repo_visibility, whoami, upload_folder, create_repo, upload_file, update_repo_visibility, file_exists
import subprocess
import gradio as gr
import re
import uuid
from typing import Optional
import json
from apscheduler.schedulers.background import BackgroundScheduler
from huggingface_hub import Repository, HfApi
api = HfApi()
def restart_space():
api.restart_space(repo_id="civitaiarchive/civitai-to-hf-uploader", token=os.environ["HF_TOKEN"])
LST1 = [
(347770, 1699147, 'LYD14V WAN [nyxmvy1966017adb5n212].safetensors', 'https://civitai.com/api/download/models/1699147', 'lydiaviolet', 'v1.0 - WAN', 'loradude'),
(347770, 1354420, 'LYD14V [sjuilw194b3926f79r36].safetensors', 'https://civitai.com/api/download/models/1354420', 'lydiaviolet', 'v1.0 - Hunyuan', 'loradude'),
(347770, 857644, 'LYD14V [lliswz191fb534f1cw6421].safetensors', 'https://civitai.com/api/download/models/857644', 'lydiaviolet', 'v1.0 - FLUX', 'loradude'),
(347770, 389081, 'lydiaviolet [1705381467771].safetensors', 'https://civitai.com/api/download/models/389081', 'lydiaviolet', 'v1.0 - SDXL', 'loradude'),
(800207, 1709201, 'L0V3PS WAN [vgqrvj1966cbb33dci90].safetensors', 'https://civitai.com/api/download/models/1709201', 'love poem society', 'v1.0 - WAN', 'loradude'),
(800207, 894765, 'L0V3PS [iynhxz1922e423cf4m3c34].safetensors', 'https://civitai.com/api/download/models/894765', 'love poem society', 'v1.0 - FLUX', 'loradude'),
(800207, 1413167, 'L0V3PS hunyuan [tlhytv195013191e4t14].safetensors', 'https://civitai.com/api/download/models/1413167', 'love poem society', 'v1.0 - Hunyuan', 'loradude'),
(800207, 1411380, 'L0V3PS SDXL [rpnmno19501ceaa54x51].safetensors', 'https://civitai.com/api/download/models/1411380', 'love poem society', 'v1.0 - SDXL', 'loradude'),
(1047117, 1686199, 'EV4GR33NW WAN [pypyuv19650901de9k383].safetensors', 'https://civitai.com/api/download/models/1686199', 'Eva Green', 'v1.0 - WAN', 'loradude'),
(1047117, 1274801, 'EV4GR33NW hunyuan [sskmwk1944810eb96z0].safetensors', 'https://civitai.com/api/download/models/1274801', 'Eva Green', 'v1.0 - Hunyuan', 'loradude'),
(1047117, 1174854, 'evagreenweb FLUX [tqmwvr193b83eb1b5u1].safetensors', 'https://civitai.com/api/download/models/1174854', 'Eva Green', 'v1.0 - FLUX', 'loradude'),
(410397, 1684265, 'BR00K3M WAN [xqqpvi1942a25008eg9W].safetensors', 'https://civitai.com/api/download/models/1684265', 'Brooke Monk', 'v1.0 - WAN', 'loradude'),
(410397, 1274730, 'BR00K3M hunyuan [ymikws194437d47a0o0].safetensors', 'https://civitai.com/api/download/models/1274730', 'Brooke Monk', 'v1.0 - Hunyuan', 'loradude'),
(410397, 1274730, 'brook_monk_hunyuan_lora_workflow.zip', 'https://civitai.com/api/download/models/1274730?type=Training%20Data', 'Brooke Monk', 'v1.0 - Hunyuan', 'loradude'),
(410397, 1257370, 'BR00K3M FLUX [xqqpvi1942a25008eg97].safetensors', 'https://civitai.com/api/download/models/1257370', 'Brooke Monk', 'v1.0 - FLUX', 'loradude'),
(410397, 457462, 'Brooke Monk [wwzrig18ef8f2c8dey1891].safetensors', 'https://civitai.com/api/download/models/457462', 'Brooke Monk', 'v1.0 - SDXL', 'loradude'),
(1164826, 1690538, 'ER1NM WAN [pqyjlr1948488f626yx].safetensors', 'https://civitai.com/api/download/models/1690538', 'Erin Moriarty', 'v1.0 - WAN', 'loradude'),
(1164826, 1310492, 'ER1NM hunyuan [pqyjlr1948488f626yg].safetensors', 'https://civitai.com/api/download/models/1310492', 'Erin Moriarty', 'v1.0 - Hunyuan', 'loradude'),
(1164826, 1310427, 'ER1NM FLUX [wmnong194857a47d3h20].safetensors', 'https://civitai.com/api/download/models/1310427', 'Erin Moriarty', 'v1.0 - FLUX', 'loradude'),
(1164826, 1310366, 'ER1NM SDXL [typvgl194857f66c2v2e].safetensors', 'https://civitai.com/api/download/models/1310366', 'Erin Moriarty', 'v1.0 - SDXL', 'loradude'),
(1164826, 1310366, 'ER1NM SDXL [typvgl194857f66c2v2e].safetensors', 'https://civitai.com/api/download/models/1310366?type=Model&format=SafeTensor', 'Erin Moriarty', 'v1.0 - SDXL', 'loradude'),
(463273, 1688185, 'FR4NC35C WAN [yvorkw19481073dd1oq].safetensors', 'https://civitai.com/api/download/models/1688185', 'Francesca Capaldi', 'v1.0 - WAN', 'loradude'),
(463273, 1306228, 'FR4NC35C hunyuan [yvorkw19481073dd1o9].safetensors', 'https://civitai.com/api/download/models/1306228', 'Francesca Capaldi', 'v1.0 - Hunyuan', 'loradude'),
(463273, 1308070, 'FR4NC35C FLUX [utgkhy194818eebacqa].safetensors', 'https://civitai.com/api/download/models/1308070', 'Francesca Capaldi', 'v1.0 - FLUX', 'loradude'),
(463273, 515561, 'Francesca Capaldi [hgmnim18f8cc16d11p735].safetensors', 'https://civitai.com/api/download/models/515561', 'Francesca Capaldi', 'v1.0 - SDXL', 'loradude'),
(1153109, 1702592, 'dafnekeen WAN [wquskz196645b733ep433].safetensors', 'https://civitai.com/api/download/models/1702592', 'Dafne Keen', 'v1.0 - WAN', 'loradude'),
(1153109, 1297144, 'dafnekeen hunyuan [iksrss19474eaa4e7x9].safetensors', 'https://civitai.com/api/download/models/1297144', 'Dafne Keen', 'v1.0 - Hunyuan', 'loradude'),
(1153109, 1297094, 'dafnekeen FLUX [gyzshx194746ac676n50].safetensors', 'https://civitai.com/api/download/models/1297094', 'Dafne Keen', 'v1.0 - FLUX', 'loradude'),
(1153109, 1297005, 'dafnekeen SDXL [vohnrr19474ccf3ccs12c].safetensors', 'https://civitai.com/api/download/models/1297005', 'Dafne Keen', 'v1.0 - SDXL', 'loradude'),
(1262716, 1424051, 'H4L13YW hunyuan [tuhwlu1950cade154q61].safetensors', 'https://civitai.com/api/download/models/1424051', 'Haliey Welch', 'v1.0 - Hunyuan', 'loradude'),
(1262716, 1423991, 'H4L13YW FLUX [itvynp1950cad9c33s60].safetensors', 'https://civitai.com/api/download/models/1423991', 'Haliey Welch', 'v1.0 - FLUX', 'loradude'),
(1262716, 1423964, 'H4L13YW SDXL [kwkgim1950cad942fz5f].safetensors', 'https://civitai.com/api/download/models/1423964', 'Haliey Welch', 'v1.0 - SDXL', 'loradude'),
(618156, 1696630, 'A88Y5 WAN [iwxght1965ae93cd5h17].safetensors', 'https://civitai.com/api/download/models/1696630', 'ClassicallyAbby', 'v1.0 - WAN', 'loradude'),
(618156, 1350346, 'A88Y5 [grpkrw194b4d3f188s395].safetensors', 'https://civitai.com/api/download/models/1350346', 'ClassicallyAbby', 'v1.0 - Hunyuan', 'loradude'),
(618156, 1350283, 'A88Y5 [xolyor194b48d00f9r2f1] DATA.zip', 'https://civitai.com/api/download/models/1350283?type=Training%20Data', 'ClassicallyAbby', 'v1.0 - FLUX', 'loradude'),
(618156, 1350283, 'A88Y5 [xolyor194b48d00f9r2f1].safetensors', 'https://civitai.com/api/download/models/1350283', 'ClassicallyAbby', 'v1.0 - FLUX', 'loradude'),
(618156, 691023, 'A88Y5 [kmgrww19112de56edp1158].safetensors', 'https://civitai.com/api/download/models/691023', 'ClassicallyAbby', 'v1.0 - SDXL', 'loradude'),
(1295323, 1461999, 'D011B hunyuan [nvpktr19535da3abbp36].safetensors', 'https://civitai.com/api/download/models/1461999', 'dollblush', 'v1.0 - Hunyuan', 'loradude'),
(1295323, 1461936, 'D011B FLUX [nxstzr19535d9a942g33].safetensors', 'https://civitai.com/api/download/models/1461936', 'dollblush', 'v1.0 - FLUX', 'loradude'),
(1295323, 1461911, 'D011B SDXL [umryhy19535d9a16dt32].safetensors', 'https://civitai.com/api/download/models/1461911', 'dollblush', 'v1.0 - SDXL', 'loradude'),
(336641, 827824, 'L4UR13W [npmpmy191d6a418aay837].safetensors', 'https://civitai.com/api/download/models/827824', 'lauriewired', 'v1.0 - FLUX', 'loradude'),
(336641, 376982, 'lauriewired [1705534203959].safetensors', 'https://civitai.com/api/download/models/376982', 'lauriewired', 'v1.0 - SDXL', 'loradude'),
(884136, 989696, 'M0R3N4B FLUX [mvjgsj192bbe0125dmd42].safetensors', 'https://civitai.com/api/download/models/989696', 'Morena Baccarin', 'v1.0', 'loradude'),
(1064947, 1195198, 'ANY4TJ [sojukj193eec86722h2613].safetensors', 'https://civitai.com/api/download/models/1195198', 'Anya Taylor-Joy', 'v1.0 - FLUX', 'loradude'),
(1241196, 1398945, 'M41513W hunyuan [uygmqr194e8cb106fp570].safetensors', 'https://civitai.com/api/download/models/1398945', 'Maisie Williams', 'v1.0 - Hunyuan', 'loradude'),
(1241196, 1398915, 'M41513W FLUX[rsyjnx194e8ca2ef5p56d].safetensors', 'https://civitai.com/api/download/models/1398915', 'Maisie Williams', 'v1.0 - FLUX', 'loradude'),
(1241196, 1398885, 'M41513W SDXL [vhnvks194e8ca276aw56c].safetensors', 'https://civitai.com/api/download/models/1398885', 'Maisie Williams', 'v1.0 - SDXL', 'loradude'),
(1156124, 1300476, 'MCKG hunyuan [jrogpo19476c71e6bna].safetensors', 'https://civitai.com/api/download/models/1300476', 'Mckenna Grace', 'v1.0 - Hunyuan', 'loradude'),
(1156124, 1300413, 'MCKG FLUX [lswwty19475df56d0ja].safetensors', 'https://civitai.com/api/download/models/1300413', 'Mckenna Grace', 'v1.0 - FLUX', 'loradude'),
(1156124, 1300266, 'MCKG SDXL [oigrqz19476aa2540z1d2].safetensors', 'https://civitai.com/api/download/models/1300266', 'Mckenna Grace', 'v1.0 - SDXL', 'loradude'),
(334659, 816372, 'S0PH13L [npmhpy191c348e891m1706].safetensors', 'https://civitai.com/api/download/models/816372', 'Sophie Lloyd', 'v1.0 - FLUX', 'loradude'),
(334659, 374867, 'Sophie Lloyd.safetensors', 'https://civitai.com/api/download/models/374867', 'Sophie Lloyd', 'v1.0 - SDXL', 'loradude'),
(383404, 1287269, 'A8813C hunyuan [olkrxt19450cbc515l10c].safetensors', 'https://civitai.com/api/download/models/1287269', 'Abbie Cobb', 'v1.0 - Hunyuan', 'loradude'),
(383404, 1040706, 'A8813C FLUX [qgupqp19304896749k3b].safetensors', 'https://civitai.com/api/download/models/1040706', 'Abbie Cobb', 'v1.0 - FLUX', 'loradude'),
(383404, 427915, 'Abbie Cobb [szhkxv18ea4799f52i23cd].safetensors', 'https://civitai.com/api/download/models/427915', 'Abbie Cobb', 'v1.0 - SDXL', 'loradude'),
(368130, 1406789, 'EL153E hunyuan [wgkjuz194faa9016dw1e].safetensors', 'https://civitai.com/api/download/models/1406789', 'Elise Ecklund', 'v1.0 - Hunyuan', 'loradude'),
(368130, 942957, 'EL153E [mkpykz19273866f34q187e].safetensors', 'https://civitai.com/api/download/models/942957', 'Elise Ecklund', 'v1.0 - FLUX', 'loradude'),
(368130, 411365, 'Elise Ecklund [1705788228040].safetensors', 'https://civitai.com/api/download/models/411365', 'Elise Ecklund', 'v1.0 - SDXL', 'loradude'),
(370376, 946272, 'H4NN4HB [irkgxi192742e5469me0].safetensors', 'https://civitai.com/api/download/models/946272', 'Hannah Barron', 'v1.0 - FLUX', 'loradude'),
(370376, 413769, 'Hannah Barron [slmros18e54acf1fcs179].safetensors', 'https://civitai.com/api/download/models/413769', 'Hannah Barron', 'v1.0 - SDXL', 'loradude'),
(1276605, 1440186, 'magui_corceiro hunyuan [nsroqw1952379bcb2k26].safetensors', 'https://civitai.com/api/download/models/1440186', 'Margarida Corceiro', 'v1.0 - Hunyuan', 'loradude'),
(1276605, 1440168, 'magui_corceiro FLUX [wxsttg1952379b325m25].safetensors', 'https://civitai.com/api/download/models/1440168', 'Margarida Corceiro', 'v1.0 - FLUX', 'loradude'),
(1276605, 1440150, 'magui_corceiro SDXL [jsruph19523792572v23].safetensors', 'https://civitai.com/api/download/models/1440150', 'Margarida Corceiro', 'v1.0 - SDXL', 'loradude'),
(946409, 1059612, 'M1L4N4V FLUX [puqvhq19326097b9fu8].safetensors', 'https://civitai.com/api/download/models/1059612', 'Milana Vayntrub', 'v1.0 - FLUX', 'loradude'),
(1208027, 1360591, 'S0PH13R hunyuan [impytz194c285f80fva].safetensors', 'https://civitai.com/api/download/models/1360591', 'Sophie Rain', 'v1.0 - Hunyuan', 'loradude'),
(1208027, 1360560, 'S0PH13R FLUX [psjyiy194c221c18bi106].safetensors', 'https://civitai.com/api/download/models/1360560', 'Sophie Rain', 'v1.0 - FLUX', 'loradude'),
(1208027, 1360518, 'S0PH13R SDXL [ipviul194c221ba0eu105].safetensors', 'https://civitai.com/api/download/models/1360518', 'Sophie Rain', 'v1.0 - SDXL', 'loradude'),
(1053376, 1275773, 'C4R4D [jggxiu1945818d9e9tce].safetensors', 'https://civitai.com/api/download/models/1275773', 'Cara DeLevigne', 'v1.0 - Hunyuan', 'loradude'),
(1053376, 1181961, 'C4R4D [vztrtp193df3c943fz22].safetensors', 'https://civitai.com/api/download/models/1181961', 'Cara DeLevigne', 'v1.0 - FLUX', 'loradude'),
(1167410, 1313493, 'EM3L14J hunyuan [pggpqt194887767bbg54].safetensors', 'https://civitai.com/api/download/models/1313493', 'EMILIA JONES', 'v1.0 - Hunyuan', 'loradude'),
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def download_file(url, file_path, folder, api_key=None):
headers = {}
full_path = os.path.join(folder, file_path)
os.makedirs(os.path.dirname(full_path), exist_ok=True)
curl_cmd = ['curl', '--fail',
'--max-time', '30', # Total operation timeout
'--connect-timeout', '10', # Connection timeout (separate)
'-L', '-o', full_path, url]
# Always use API key if provided
if api_key:
curl_cmd.extend(['-H', f'Authorization: Bearer {api_key}'])
try:
result = subprocess.run(curl_cmd, check=True, capture_output=True, text=True)
except subprocess.CalledProcessError as e:
if ('401' in e.stderr or '403' in e.stderr) and not api_key:
# Try again with authorization
api_key = os.environ.get("CIVITAI_API_KEY")
curl_cmd.extend(['-H', f'Authorization: Bearer {api_key}'])
try:
result = subprocess.run(curl_cmd, check=True, capture_output=True, text=True)
except subprocess.CalledProcessError as e:
raise gr.Error(f"Error downloading file with authorization: {e.stderr}")
else:
raise gr.Error(f"Error downloading file: {e.stderr}")
except Exception as e:
raise gr.Error(f"Error downloading file: {str(e)}")
def get_files_by_username(username, api_key = None):
# url = f"https://civitai.com/api/v1/models?username={username}&limit=100&nsfw=true&hidden=true"
url = f"https://civitai.com/api/v1/models?username={username}&limit=100" # Only working method for the hidden models.
if api_key: # Shows hidden models.
url += f"&token={api_key}"
output = {}
#while url:
# response = requests.get(url, timeout=30)
# data = response.json()
# Add current page items to the list
for (model_id, version_id, file_name, file_down, model_name, version_name, model_user) in LST1:
# for model in data['items']:
# for version in model['modelVersions']:
# for file in version['files']:
output[str(model_id) + '/' + str(version_id) + '/' + file_name] = {
'downloadUrl': file_down,
'modelId': model_name + ' - ' + version_name,
'modelUrl': f"https://civitai.com/models/{model_id}?modelVersionId={version_id}",
'author': model_user,
'authorUrl': f"https://civitai.com/user/{model_user}",
'mirrorUrl': f"https://civitaiarchive.com/models/{model_id}?modelVersionId={version_id}",
}
# metadata = data.get('metadata', {})
# url = metadata.get('nextPage', None)
# gr.Info("Sample output " + str(output[list(output.keys())[0]]))
# print(output[list(output.keys())[0]])
# raise NotImplementedError("I am done")
return output
def get_files_by_model_id(model_id):
api_url = f"https://civitai.com/api/v1/models/{model_id}"
if api_key: # Shows hidden models.
api_url += f"&token={api_key}"
try:
# response = requests.get(api_url)
# response.raise_for_status()
# model = response.json()
output = {}
for (model_id, version_id, file_name, file_down, model_name, version_name, model_user) in LST1:
output[str(model_id) + '/' + str(version_id) + '/' + file_name] = {
'downloadUrl': file['downloadUrl'],
'modelId': model['name'] + ' - ' + version['name'],
'modelUrl': f"https://civitai.com/models/{model['id']}?modelVersionId={version['id']}",
'author': model['creator']['username'],
'authorUrl': f"https://civitai.com/user/{model['creator']['username']}",
'mirrorUrl': f"https://civitaiarchive.com/models/{model['id']}?modelVersionId={version['id']}",
}
return output
except requests.exceptions.RequestException as e:
raise gr.Error("Something went wrong in fetching CivitAI API")
def process_url(url, profile, user_repo_id, oauth_token, folder, api_key=None):
if url.startswith("https://civitai.com/models/"):
model_id = url.split('/')[4]
files = get_files_by_model_id(model_id, api_key)
elif url.startswith("https://civitai.com/user/"):
username = url.split('/')[4]
files = get_files_by_username(username, api_key)
else:
raise gr.Error("Unknown CivitAI URL format, please provide model URL or user profile URL")
gr.Info(f"Found {len(files)} files to download")
downloaded_files = {}
total_files = len(files)
current_file = 1
for dl_path, data in files.items():
try:
download_url = data['downloadUrl']
filename = dl_path.split('/')[-1]
if file_exists(
repo_id = user_repo_id,
filename = dl_path,
token = oauth_token
):
gr.Info(f"Skipping {filename}, file exists {dl_path}")
continue
gr.Info(f"Downloading {filename} ({current_file}/{total_files})")
download_file(download_url, dl_path, folder, api_key)
# Upload the model and card
gr.Info(f"Uploading {filename} ({current_file}/{total_files})")
base_folder = os.path.join(folder, os.path.dirname(dl_path))
# Create README.md file
readme = f"""
Author: [{data['author']}]({data['authorUrl']})
Model: [{data['modelUrl']}]({data['modelUrl']})
Mirror: [{data['mirrorUrl']}]({data['mirrorUrl']})
"""
with open(os.path.join(base_folder, "README.md"), "w") as f:
f.write(readme)
upload_folder(
folder_path=base_folder,
repo_id=user_repo_id,
repo_type="model",
path_in_repo=os.path.dirname(dl_path),
token=oauth_token
)
downloaded_files[dl_path] = download_url
except Exception as e:
gr.Warning(f"Failed to download {dl_path}: {str(e)}")
finally:
current_file += 1
return files
def add_mirror(repo_id):
response = requests.post("https://civitaiarchive.com/api/mirrors",
headers={
"Authorization": f"Bearer {os.environ['CIVITAIARCHIVE_API_KEY']}",
"Content-Type": "application/json"
},
json={
"type": "huggingface",
"url": repo_id
})
if response.status_code == 200:
gr.Info("Added mirror to CivitaiArchive.com")
else:
gr.Error("Failed to add mirror to CivitaiArchive.com")
def upload_civit_to_hf(profile: Optional[gr.OAuthProfile], oauth_token: gr.OAuthToken, url, destination_repo, civitai_api_key=None):
if not profile.name:
raise gr.Error("Are you sure you are logged in?")
if not destination_repo:
raise gr.Error("Please provide a destination repository name")
# validate destination repo is alphanumeric
if not re.match(r'^[a-zA-Z0-9_-]+$', destination_repo):
raise gr.Error("Destination repository name must contain only alphanumeric characters, underscores, and hyphens")
folder = str(uuid.uuid4())
os.makedirs(folder, exist_ok=False)
gr.Info(f"Starting download from {url}")
try:
user_repo_id = f"{profile.username}/{destination_repo}"
# Try to create repo only if it doesn't exist
try:
create_repo(repo_id=user_repo_id, private=True, exist_ok=False, token=oauth_token.token)
gr.Info(f"Created new repository {user_repo_id}")
except Exception as e:
gr.Info(f"Repository {user_repo_id} already exists, will update it")
update_repo_visibility(repo_id=user_repo_id, private=False, token=oauth_token.token)
files = process_url(url, profile, user_repo_id, oauth_token.token, folder, civitai_api_key)
if not files or len(files.keys()) == 0:
raise gr.Error("No files were copied. Something went wrong.")
gr.Info(f"Copied {len(files)} files")
results = []
results.append(f"## [{user_repo_id}](https://huggingface.co/{user_repo_id})")
if not results:
raise gr.Error("Failed to upload any models. Please check the logs for details.")
add_mirror(user_repo_id)
return "# Models uploaded to 🤗!\n" + "\n".join(results)
except Exception as e:
print(e)
raise gr.Error(f"Error during upload process: {str(e)}")
finally:
# Cleanup
if os.path.exists(folder):
import shutil
shutil.rmtree(folder)
css = '''
#login {
width: 100% !important;
margin: 0 auto;
}
#disabled_upload{
opacity: 0.5;
pointer-events:none;
}
'''
with gr.Blocks(css=css) as demo:
gr.Markdown('''# Upload CivitAI models to HuggingFace
You can upload either:
- A single model by providing a CivitAI model URL (e.g., https://civitai.com/models/144684)
- All models from a user by providing their profile URL (e.g., https://civitai.com/user/username)
This will create a new HuggingFace repository under your username if it doesn't exist.
Once uploaded, it will add this repository to CivitaiArchive.com as a mirror.
''')
gr.LoginButton(elem_id="login")
with gr.Column() :
submit_source_civit = gr.Textbox(
placeholder="https://civitai.com/models/144684 or https://civitai.com/user/username",
label="CivitAI URL",
info="Enter either a model URL or user profile URL",
)
destination_repo = gr.Textbox(
placeholder="my-awesome-model",
label="HF Repo Name",
info="Name for the HuggingFace repository (a new one will be created if it doesn't exist)",
)
civitai_api_key = gr.Textbox(
placeholder="Your CivitAI API key (optional)",
label="CivitAI API Key",
info="Optional: Provide your own CivitAI API key to avoid rate limits. If not provided, a default key will be used.",
)
instructions = gr.HTML("")
submit_button_civit = gr.Button("Upload to Hugging Face", interactive=True)
output = gr.Markdown(label="Upload Progress")
submit_button_civit.click(
fn=upload_civit_to_hf,
inputs=[submit_source_civit, destination_repo, civitai_api_key],
outputs=[output]
)
scheduler = BackgroundScheduler()
scheduler.add_job(restart_space, 'interval', seconds=3600)
scheduler.start()
demo.queue(default_concurrency_limit=50)
demo.launch() |