File size: 18,696 Bytes
d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 d5004a3 698ee06 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 | import ipywidgets as widgets
from IPython.display import display, clear_output, HTML
import os
import subprocess
import requests
import re
import pickle
from pathlib import Path
# --- Diccionarios de Modelos Predefinidos ---
PRESET_MODELS = {
"WaiNSFW V16": "https://huggingface.co/Quiho/best-from-civitai/resolve/main/waiIllustriousSDXL_v160.safetensors",
"WaiNSFW V15": "https://huggingface.co/WhiteAiZ/WAI-NSFW-illustrious-SDXL-V015/resolve/main/waiNSFWIllustrious_v150.safetensors",
"waiNSFW V14": "https://huggingface.co/Ine007/waiNSFWIllustrious_v140/resolve/main/waiNSFWIllustrious_v140.safetensors",
"waiSHUFFLENOOB_v20": "https://huggingface.co/WhiteAiZ/waiSHUFFLENOOB_v20/resolve/main/waiSHUFFLENOOB_v20.safetensors",
"waiSHUFFLENOOB_vpred20": "https://huggingface.co/WhiteAiZ/waiSHUFFLENOOB_v20/resolve/main/waiSHUFFLENOOB_vPred20.safetensors",
"ntrMIXIllustriousXL_XIII": "https://huggingface.co/misri/ntrMIXIllustriousXL_xiii/resolve/main/ntrMIXIllustriousXL_xiii.safetensors",
"NoobaiCyberFix": "https://civitaiarchive.com/api/download/models/1122850",
"NoobaiCyberFix vpred": "https://civitaiarchive.com/api/download/models/2371102",
"konanMix Vpred": "https://huggingface.co/wsj1995/Checkpoint/resolve/main/1365468/1542670/konanmixnoobvPredNoob_v10.safetensors",
"Nova Anime XL": "https://huggingface.co/Chattiori/ChattioriMixesXL/resolve/main/NovaAnimeILV8.safetensors",
"Illustrious XL personal merge": "https://huggingface.co/nnnn1111/models/resolve/main/illustriousXLPersonalMerge_v30Noob10based.safetensors",
"Illustrious XL personal merge vpred": "https://huggingface.co/datasets/John6666/model-mirror-14/resolve/main/illustriousXLPersonalMerge_vp05testLowsteps.safetensors",
"Ikastrious": "https://civitaiarchive.com/api/download/models/2471934",
"Ikastrious Noobai": "https://huggingface.co/minaiosu/giko/resolve/main/ikastrious_v95.safetensors",
"RouWei": "https://civitaiarchive.com/api/download/models/1832460",
"RouWei Vpred": "https://huggingface.co/WhiteAiZ/RouWei/resolve/main/rouwei_v080Vpred.safetensors",
"PlantMint Walnut": "https://huggingface.co/wsj1995/Checkpoint/resolve/main/1162518/1714002/plantMilkModelSuite_walnut.safetensors"
}
PRESET_VAES = {
"sdxl_vae": "https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors",
"sdxl_vae_fix": "https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl_vae.safetensors",
"sdxl_anime_vae": "https://huggingface.co/Anzhc/Anzhcs-VAEs/resolve/main/SDXL%20Anime%20VAE%20Dec-only%20B3.safetensors",
"sdxl_neptunia_vae": "https://huggingface.co/JustAnotherCibrarian/vae/resolve/main/1290283/1455983/neptuniaXLILNAIVAE_contrastColors.safetensors",
"sdxl_luna_vae": "https://huggingface.co/yuu062/tameshi/resolve/main/lunaXLVAE_luna.safetensors"
}
PRESET_UPSCALERS = {
"AnimeSharp": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth",
"UltraSharp": "https://huggingface.co/lokCX/4x-Ultrasharp/resolve/main/4x-UltraSharp.pth",
"Remacri": "https://huggingface.co/LyliaEngine/remacri_original/resolve/main/remacri_original.pt",
"RealESRGAN_x4plus_anime": "https://huggingface.co/gemasai/RealESRGAN_x4plus_anime_6B/resolve/main/RealESRGAN_x4plus_anime_6B.pth",
"JaNai": "https://huggingface.co/halllooo/4x_illustrationJaNaiV1/resolve/main/4x_IllustrationJaNai_V1_ESRGAN_135k.pth",
"YandereNeoXL": "https://huggingface.co/kaeru-shigure/mlx-4x_NMKD-YandereNeoXL_200k/resolve/main/4x_NMKD-YandereNeoXL_200k.safetensors"
}
PRESET_CONTROLNETS = {
"Controlnet Union Pro Max": "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/resolve/main/diffusion_pytorch_model_promax.safetensors",
"Controlnet Lite (Todos)": "https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_sketch.safetensors, https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_softedge.safetensors, https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_dw_openpose.safetensors, https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_canny.safetensors, https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_depth_V2.safetensors, https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/bdsqlsz_controlllite_xl_lineart_anime_denoise.safetensors"
}
def iniciar():
# --- Configuración de Rutas para Forge Classic en Kaggle ---
BASE_MODELS_DIR = "/tmp/models"
LORA_DIR = "/tmp/lora"
VAE_DIR = "/kaggle/working/sd-webui-forge-classic/models/VAE"
UPSCALER_DIR = "/kaggle/working/sd-webui-forge-classic/models/ESRGAN"
CONTROLNET_DIR = "/kaggle/working/sd-webui-forge-classic/models/ControlNet"
os.makedirs(BASE_MODELS_DIR, exist_ok=True)
os.makedirs(LORA_DIR, exist_ok=True)
os.makedirs(VAE_DIR, exist_ok=True)
os.makedirs(UPSCALER_DIR, exist_ok=True)
os.makedirs(CONTROLNET_DIR, exist_ok=True)
# --- Leer token desde pickle en Kaggle ---
TOKEN_FILE = Path.home() / ".civitai_token.pkl"
token_guardado = ""
if TOKEN_FILE.exists():
try:
token_guardado = pickle.loads(TOKEN_FILE.read_bytes())
except Exception:
pass
# --- Elementos de la Interfaz ---
out_console = widgets.Output(layout={'border': '1px solid #ccc', 'padding': '10px', 'margin': '10px 0', 'height': '250px', 'overflow': 'auto'})
token_input = widgets.Password(
value=token_guardado,
placeholder='Ingresa tu API Token (Opcional pero recomendado)',
description='Civitai Token:',
style={'description_width': 'initial'},
layout=widgets.Layout(width='500px')
)
# Widgets de Progreso
progress_bar = widgets.IntProgress(
value=0, min=0, max=100,
description='Progreso:',
bar_style='info',
orientation='horizontal',
layout=widgets.Layout(width='80%', display='none')
)
status_label = widgets.Label(value="", layout=widgets.Layout(display='none'))
progress_container = widgets.VBox([progress_bar, status_label])
def ejecutar_con_progreso(cmd, is_gdown=False):
progress_bar.value = 0
progress_bar.layout.display = 'flex'
status_label.layout.display = 'flex'
status_label.value = "Iniciando descarga..."
process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1, universal_newlines=True)
for line in process.stdout:
if not is_gdown:
match_pct = re.search(r'\((\d+)%\)', line)
if match_pct:
progress_bar.value = int(match_pct.group(1))
match_speed = re.search(r'DL:([^\s]+)', line)
if match_speed:
status_label.value = f"Descargando... Velocidad: {match_speed.group(1)}"
else:
match_pct = re.search(r'(\d{1,3})%', line)
if match_pct:
progress_bar.value = int(match_pct.group(1))
status_label.value = "Descargando con gdown..."
process.wait()
progress_bar.value = 100
progress_bar.bar_style = 'success'
status_label.value = "¡Descarga de este archivo completada! ✅"
def procesar_descarga(b, url_widget, method_widget, dest_path):
raw_urls = url_widget.value.strip()
method = method_widget.value
token = token_input.value.strip()
urls = [u.strip() for u in raw_urls.split(",") if u.strip()]
if not urls:
with out_console:
clear_output()
display(HTML("<h4 style='color:red;'>⚠️ Por favor, ingresa al menos una URL válida.</h4>"))
return
with out_console:
clear_output()
display(HTML(f"<h2>🚀 Iniciando cola de descarga: {len(urls)} archivo(s)</h2>"))
for i, url in enumerate(urls, 1):
progress_bar.bar_style = 'info'
progress_bar.value = 0
status_label.value = f"Preparando archivo {i} de {len(urls)}..."
download_url = url
if ("civitai.com" in url or "civitaiarchive.com" in url) and token:
download_url = f"{url}{'&' if '?' in url else '?'}token={token}"
# --- 1. Extraer el nombre del modelo ANTES de descargar ---
pretty_name = "Desconocido"
# Regla especial para Controlnet Union Pro Max
if url == "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/resolve/main/diffusion_pytorch_model_promax.safetensors":
pretty_name = "Controlnet_Union_Pro_Max.safetensors"
elif method == 'aria2':
if "civitai.com" in url or "civitaiarchive.com" in url:
try:
with requests.get(download_url, stream=True, timeout=5) as r:
cd = r.headers.get('Content-Disposition', '')
match = re.findall(r'filename[*]?=(?:UTF-8\'\')?["\']?([^"\';]+)["\']?', cd)
if match:
pretty_name = match[0]
else:
pretty_name = url.split('/')[-1].split('?')[0]
except Exception:
pretty_name = url.split('/')[-1].split('?')[0]
else:
pretty_name = url.split('/')[-1].split('?')[0]
elif method == 'gdown':
pretty_name = "Archivo de Google Drive (Gdown gestiona el nombre)"
# --- 2. Mostrar la información en la consola usando HTML ---
with out_console:
display(HTML(f"<hr><h3 style='color:#D4AF37;'>📥 [{i}/{len(urls)}] Descargando: <code>{pretty_name}</code></h3>"))
display(HTML(f"<h4 style='color:#4682B4;'>📁 Destino: <code>{dest_path}</code></h4>"))
if ("civitai.com" in url or "civitaiarchive.com" in url) and token:
print("🔑 Token detectado y aplicado desde el gestor.")
elif ("civitai.com" in url or "civitaiarchive.com" in url) and not token:
print("⚠️ Descargando sin token (algunos modelos pueden requerirlo).")
# --- 3. Ejecutar la descarga ---
if method == 'aria2':
cmd = [
"aria2c", "--content-disposition",
"-c", "-x", "16", "-s", "16", "-k", "1M",
"--summary-interval=1", "-d", dest_path
]
# Forzamos el nombre si existe y no es de civitai
if pretty_name and pretty_name != "Desconocido" and "civitai.com" not in url and "civitaiarchive.com" not in url:
cmd.extend(["-o", pretty_name, url])
else:
cmd.append(download_url)
ejecutar_con_progreso(cmd, is_gdown=False)
if "huggingface.co" in url and pretty_name:
for f in os.listdir(dest_path):
if re.fullmatch(r'[0-9a-f]{64}', f):
os.rename(os.path.join(dest_path, f), os.path.join(dest_path, pretty_name))
break
elif method == 'gdown':
cmd = ["gdown", "--fuzzy", url, "-O", f"{dest_path}/"]
ejecutar_con_progreso(cmd, is_gdown=True)
with out_console:
display(HTML("<hr><h2 style='color:lightgreen;'>✅ ¡Todas las descargas han finalizado!</h2>"))
# --- Pestaña 1: Modelos Base ---
opciones_presets_base = ['-- Personalizado / Manual --'] + list(PRESET_MODELS.keys())
preset_base_dropdown = widgets.Dropdown(options=opciones_presets_base, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%'))
base_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%'))
def actualizar_url_base(change):
seleccion = change['new']
if seleccion in PRESET_MODELS:
base_url.value = PRESET_MODELS[seleccion]
else:
base_url.value = ""
preset_base_dropdown.observe(actualizar_url_base, names='value')
base_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:')
base_btn = widgets.Button(description='Descargar Modelos', button_style='primary', icon='download')
base_btn.on_click(lambda b: procesar_descarga(b, base_url, base_method, BASE_MODELS_DIR))
tab_base = widgets.VBox([
widgets.HTML("<h4>Descargar Modelos (Checkpoints)</h4><p>Elige un modelo favorito o pega enlaces separados por comas (,)</p>"),
preset_base_dropdown,
widgets.HBox([base_url, base_method]),
base_btn
])
# --- Pestaña 2: LoRAs ---
lora_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URLs:', layout=widgets.Layout(width='80%'))
lora_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:')
lora_btn = widgets.Button(description='Descargar LoRAs', button_style='success', icon='download')
lora_btn.on_click(lambda b: procesar_descarga(b, lora_url, lora_method, LORA_DIR))
tab_lora = widgets.VBox([
widgets.HTML("<h4>Descargar LoRAs</h4><p>Pega múltiples URLs separadas por comas (,)</p>"),
widgets.HBox([lora_url, lora_method]),
lora_btn
])
# --- Pestaña 3: VAEs ---
opciones_presets_vae = ['-- Personalizado / Manual --'] + list(PRESET_VAES.keys())
preset_vae_dropdown = widgets.Dropdown(options=opciones_presets_vae, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%'))
vae_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%'))
def actualizar_url_vae(change):
seleccion = change['new']
if seleccion in PRESET_VAES:
vae_url.value = PRESET_VAES[seleccion]
else:
vae_url.value = ""
preset_vae_dropdown.observe(actualizar_url_vae, names='value')
vae_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:')
vae_btn = widgets.Button(description='Descargar VAEs', button_style='info', icon='download')
vae_btn.on_click(lambda b: procesar_descarga(b, vae_url, vae_method, VAE_DIR))
tab_vae = widgets.VBox([
widgets.HTML("<h4>Descargar VAEs</h4><p>Elige un VAE favorito o pega enlaces separados por comas (,)</p>"),
preset_vae_dropdown,
widgets.HBox([vae_url, vae_method]),
vae_btn
])
# --- Pestaña 4: Upscalers ---
opciones_presets_upscalers = ['-- Personalizado / Manual --', '-- Descargar Todos --'] + list(PRESET_UPSCALERS.keys())
preset_upscaler_dropdown = widgets.Dropdown(options=opciones_presets_upscalers, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%'))
upscaler_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%'))
def actualizar_url_upscaler(change):
seleccion = change['new']
if seleccion == '-- Descargar Todos --':
upscaler_url.value = ", ".join(PRESET_UPSCALERS.values())
elif seleccion in PRESET_UPSCALERS:
upscaler_url.value = PRESET_UPSCALERS[seleccion]
else:
upscaler_url.value = ""
preset_upscaler_dropdown.observe(actualizar_url_upscaler, names='value')
upscaler_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:')
upscaler_btn = widgets.Button(description='Descargar Upscalers', button_style='warning', icon='download')
upscaler_btn.on_click(lambda b: procesar_descarga(b, upscaler_url, upscaler_method, UPSCALER_DIR))
tab_upscaler = widgets.VBox([
widgets.HTML("<h4>Descargar Upscalers (ESRGAN)</h4><p>Elige un upscaler, selecciona <b>'-- Descargar Todos --'</b>, o pega enlaces separados por comas (,)</p>"),
preset_upscaler_dropdown,
widgets.HBox([upscaler_url, upscaler_method]),
upscaler_btn
])
# --- Pestaña 5: ControlNet ---
opciones_presets_controlnet = ['-- Personalizado / Manual --'] + list(PRESET_CONTROLNETS.keys())
preset_controlnet_dropdown = widgets.Dropdown(options=opciones_presets_controlnet, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%'))
controlnet_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%'))
def actualizar_url_controlnet(change):
seleccion = change['new']
if seleccion in PRESET_CONTROLNETS:
controlnet_url.value = PRESET_CONTROLNETS[seleccion]
else:
controlnet_url.value = ""
preset_controlnet_dropdown.observe(actualizar_url_controlnet, names='value')
controlnet_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:')
controlnet_btn = widgets.Button(description='Descargar ControlNet', button_style='danger', icon='download')
controlnet_btn.on_click(lambda b: procesar_descarga(b, controlnet_url, controlnet_method, CONTROLNET_DIR))
tab_controlnet = widgets.VBox([
widgets.HTML("<h4>Descargar Modelos ControlNet</h4><p>Elige el Pro Max, el paquete Lite, o pega enlaces separados por comas (,)</p>"),
preset_controlnet_dropdown,
widgets.HBox([controlnet_url, controlnet_method]),
controlnet_btn
])
# --- Ensamblar Interfaz ---
tabs = widgets.Tab(children=[tab_base, tab_lora, tab_vae, tab_upscaler, tab_controlnet])
tabs.set_title(0, '📦 Modelos Base')
tabs.set_title(1, '✨ LoRAs')
tabs.set_title(2, '🎨 VAEs')
tabs.set_title(3, '🔍 Upscalers')
tabs.set_title(4, '🕹️ ControlNet')
if token_guardado:
mensaje_token = "<i>(✅ Token cargado automáticamente desde la memoria persistente)</i>"
else:
mensaje_token = "<i>(⚠️ No se encontró token guardado, puedes ingresarlo manualmente)</i>"
ui = widgets.VBox([
widgets.HTML("<h2>Gestor de Descargas para SD Forge Classic (Kaggle)</h2>"),
widgets.HBox([token_input, widgets.HTML(mensaje_token)]),
tabs,
widgets.HTML("<hr>"),
progress_container,
out_console
])
display(ui) |