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" } PRESET_DIFFUSION = { "z-image-turbo-Q4_K_M": "https://huggingface.co/unsloth/Z-Image-Turbo-GGUF/resolve/main/z-image-turbo-Q4_K_M.gguf", "z-image-turbo-Q8_0": "https://huggingface.co/unsloth/Z-Image-Turbo-GGUF/resolve/main/z-image-turbo-Q8_0.gguf" } PRESET_TEXT_ENCODERS = { "Qwen3-4B-Q4_K_M": "https://huggingface.co/unsloth/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q4_K_M.gguf", "Qwen3-4B-Q8_0": "https://huggingface.co/unsloth/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q8_0.gguf" } PRESET_UNET = {} PRESET_CLIP = {} def iniciar(): # --- Configuración de Rutas para Lightning.ai --- BASE_MODELS_DIR = "/tmp/models" LORA_DIR = "/tmp/lora" VAE_DIR = "/teamspace/studios/this_studio/ComfyUI/models/vae" UPSCALER_DIR = "/teamspace/studios/this_studio/ComfyUI/models/upscale_models" CONTROLNET_DIR = "/tmp/controlnet" DIFFUSION_DIR = "/tmp/diffusion_models" TEXT_ENCODER_DIR = "/tmp/text_encoders" UNET_DIR = "/tmp/unet" CLIP_DIR = "/teamspace/studios/this_studio/ComfyUI/models/clip" COMFY_EXT_DIR = "/teamspace/studios/this_studio/ComfyUI/custom_nodes" # --- Leer token desde pickle en Lightning.ai --- 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("

⚠️ Por favor, ingresa al menos una URL válida.

")) return with out_console: clear_output() display(HTML(f"

🚀 Iniciando cola de descarga: {len(urls)} archivo(s)

")) 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}" pretty_name = "Desconocido" 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)" with out_console: display(HTML(f"

📥 [{i}/{len(urls)}] Descargando: {pretty_name}

")) display(HTML(f"

📁 Destino: {dest_path}

")) 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).") if method == 'aria2': cmd = [ "aria2c", "--content-disposition", "-c", "-x", "16", "-s", "16", "-k", "1M", "--summary-interval=1", "-d", dest_path ] 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("

✅ ¡Todas las descargas han finalizado!

")) def procesar_extensiones(b, url_widget): raw_urls = url_widget.value.strip() urls = [u.strip() for u in raw_urls.split(",") if u.strip()] if not urls: with out_console: clear_output() display(HTML("

⚠️ Por favor, ingresa al menos una URL de GitHub válida.

")) return with out_console: clear_output() display(HTML(f"

🚀 Iniciando clonación de {len(urls)} extensión(es)

")) for i, url in enumerate(urls, 1): progress_bar.layout.display = 'flex' status_label.layout.display = 'flex' progress_bar.bar_style = 'info' progress_bar.value = 50 repo_name = url.rstrip('/').split('/')[-1].replace('.git', '') target_path = os.path.join(COMFY_EXT_DIR, repo_name) status_label.value = f"Clonando {repo_name} ({i}/{len(urls)})..." with out_console: display(HTML(f"

📥 [{i}/{len(urls)}] Clonando: {repo_name}

")) display(HTML(f"

📁 Destino: {target_path}

")) if os.path.exists(target_path): with out_console: print(f"⚠️ La carpeta {repo_name} ya existe. Saltando git clone...") else: cmd_clone = ["git", "clone", url, target_path] res_clone = subprocess.run(cmd_clone, capture_output=True, text=True) if res_clone.returncode != 0: with out_console: print(f"❌ Error al clonar:\n{res_clone.stderr}") continue req_file = os.path.join(target_path, "requirements.txt") if os.path.exists(req_file): status_label.value = f"Instalando dependencias para {repo_name}..." with out_console: print(f"📦 requirements.txt detectado. Instalando con uv...") cmd_uv = ["uv", "pip", "install", "--system", "-r", req_file] res_uv = subprocess.run(cmd_uv, capture_output=True, text=True) with out_console: if res_uv.returncode == 0: print("✅ Dependencias instaladas exitosamente.") else: print(f"⚠️ Hubo un problema al instalar algunas dependencias:\n{res_uv.stderr}") else: with out_console: print("ℹ️ No se encontró requirements.txt. Omitiendo instalación de dependencias.") progress_bar.value = 100 progress_bar.bar_style = 'success' status_label.value = "¡Extensión procesada! ✅" with out_console: display(HTML("

✅ ¡Todas las extensiones han sido procesadas!

")) # --- 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("

Descargar Modelos (Checkpoints)

Elige un modelo favorito o pega enlaces separados por comas (,)

"), 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("

Descargar LoRAs

Pega múltiples URLs separadas por comas (,)

"), 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("

Descargar VAEs

Elige un VAE favorito o pega enlaces separados por comas (,)

"), 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("

Descargar Upscalers (ESRGAN)

Elige un upscaler, selecciona '-- Descargar Todos --', o pega enlaces separados por comas (,)

"), 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("

Descargar Modelos ControlNet

Elige el Pro Max, el paquete Lite, o pega enlaces separados por comas (,)

"), preset_controlnet_dropdown, widgets.HBox([controlnet_url, controlnet_method]), controlnet_btn ]) # --- Pestaña 6: Diffusion Models --- opciones_presets_diffusion = ['-- Personalizado / Manual --'] + list(PRESET_DIFFUSION.keys()) preset_diffusion_dropdown = widgets.Dropdown(options=opciones_presets_diffusion, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%')) diffusion_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%')) def actualizar_url_diffusion(change): seleccion = change['new'] if seleccion in PRESET_DIFFUSION: diffusion_url.value = PRESET_DIFFUSION[seleccion] else: diffusion_url.value = "" preset_diffusion_dropdown.observe(actualizar_url_diffusion, names='value') diffusion_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:') diffusion_btn = widgets.Button(description='Descargar Diffusion Models', button_style='primary', icon='download') diffusion_btn.on_click(lambda b: procesar_descarga(b, diffusion_url, diffusion_method, DIFFUSION_DIR)) tab_diffusion = widgets.VBox([ widgets.HTML("

Descargar Diffusion Models

Elige un modelo GGUF o pega enlaces separados por comas (,)

"), preset_diffusion_dropdown, widgets.HBox([diffusion_url, diffusion_method]), diffusion_btn ]) # --- Pestaña 7: Text Encoders --- opciones_presets_te = ['-- Personalizado / Manual --'] + list(PRESET_TEXT_ENCODERS.keys()) preset_te_dropdown = widgets.Dropdown(options=opciones_presets_te, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%')) te_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%')) def actualizar_url_te(change): seleccion = change['new'] if seleccion in PRESET_TEXT_ENCODERS: te_url.value = PRESET_TEXT_ENCODERS[seleccion] else: te_url.value = "" preset_te_dropdown.observe(actualizar_url_te, names='value') te_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:') te_btn = widgets.Button(description='Descargar Text Encoders', button_style='info', icon='download') te_btn.on_click(lambda b: procesar_descarga(b, te_url, te_method, TEXT_ENCODER_DIR)) tab_te = widgets.VBox([ widgets.HTML("

Descargar Text Encoders

Elige un modelo Qwen o pega enlaces separados por comas (,)

"), preset_te_dropdown, widgets.HBox([te_url, te_method]), te_btn ]) # --- Pestaña 8: Unet --- opciones_presets_unet = ['-- Personalizado / Manual --'] + list(PRESET_UNET.keys()) preset_unet_dropdown = widgets.Dropdown(options=opciones_presets_unet, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%')) unet_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%')) def actualizar_url_unet(change): seleccion = change['new'] if seleccion in PRESET_UNET: unet_url.value = PRESET_UNET[seleccion] else: unet_url.value = "" preset_unet_dropdown.observe(actualizar_url_unet, names='value') unet_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:') unet_btn = widgets.Button(description='Descargar Unet', button_style='primary', icon='download') unet_btn.on_click(lambda b: procesar_descarga(b, unet_url, unet_method, UNET_DIR)) tab_unet = widgets.VBox([ widgets.HTML("

Descargar Modelos Unet

Pega múltiples URLs separadas por comas (,)

"), preset_unet_dropdown, widgets.HBox([unet_url, unet_method]), unet_btn ]) # --- Pestaña 9: Clip --- opciones_presets_clip = ['-- Personalizado / Manual --'] + list(PRESET_CLIP.keys()) preset_clip_dropdown = widgets.Dropdown(options=opciones_presets_clip, value='-- Personalizado / Manual --', description='Favoritos:', layout=widgets.Layout(width='80%')) clip_url = widgets.Text(placeholder='https://url1, https://url2, ...', description='URL:', layout=widgets.Layout(width='80%')) def actualizar_url_clip(change): seleccion = change['new'] if seleccion in PRESET_CLIP: clip_url.value = PRESET_CLIP[seleccion] else: clip_url.value = "" preset_clip_dropdown.observe(actualizar_url_clip, names='value') clip_method = widgets.Dropdown(options=['aria2', 'gdown'], value='aria2', description='Método:') clip_btn = widgets.Button(description='Descargar Clip', button_style='info', icon='download') clip_btn.on_click(lambda b: procesar_descarga(b, clip_url, clip_method, CLIP_DIR)) tab_clip = widgets.VBox([ widgets.HTML("

Descargar Modelos Clip

Pega múltiples URLs separadas por comas (,)

"), preset_clip_dropdown, widgets.HBox([clip_url, clip_method]), clip_btn ]) # --- Pestaña 10: Extensiones ComfyUI --- comfy_ext_url = widgets.Text(placeholder='https://github.com/autor/repositorio.git, ...', description='URLs (Git):', layout=widgets.Layout(width='80%')) comfy_ext_btn = widgets.Button(description='Clonar e Instalar', button_style='danger', icon='code') comfy_ext_btn.on_click(lambda b: procesar_extensiones(b, comfy_ext_url)) tab_comfy_ext = widgets.VBox([ widgets.HTML("

Clonar Extensiones para ComfyUI

Pega enlaces de repositorios de GitHub separados por comas (,). Se clonarán e instalarán sus requirements usando uv.

"), comfy_ext_url, comfy_ext_btn ]) # --- Ensamblar Interfaz --- tabs = widgets.Tab(children=[tab_base, tab_lora, tab_vae, tab_upscaler, tab_controlnet, tab_diffusion, tab_te, tab_unet, tab_clip, tab_comfy_ext]) 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') tabs.set_title(5, '🌌 Diffusion Models') tabs.set_title(6, '📝 Text Encoders') tabs.set_title(7, '🧠 Unet') tabs.set_title(8, '🔗 Clip') tabs.set_title(9, '🧩 Extensiones Comfy') if token_guardado: mensaje_token = "(✅ Token cargado automáticamente desde la memoria)" else: mensaje_token = "(⚠️ No se encontró token guardado, puedes ingresarlo manualmente)" ui = widgets.VBox([ widgets.HTML("

Gestor Total de Descargas para ComfyUI (Lightning.ai)

"), widgets.HBox([token_input, widgets.HTML(mensaje_token)]), tabs, widgets.HTML("
"), progress_container, out_console ]) display(ui)