scripts/download_magic.py

# download_magic.py
import ipywidgets as widgets
from IPython.display import display, clear_output, HTML
from IPython import get_ipython
import os
import subprocess
import requests
import re
import json

# --- Configuración de Rutas para Forge Classic ---
BASE_MODELS_DIR = "/content/sd-webui-forge-classic/models/Stable-diffusion"
LORA_DIR = "/content/sd-webui-forge-classic/models/Lora"
VAE_DIR = "/content/sd-webui-forge-classic/models/VAE"
UPSCALER_DIR = "/content/sd-webui-forge-classic/models/ESRGAN"
CONTROLNET_DIR = "/content/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)

# --- Recuperar el Token Guardado ---
ipython = get_ipython()
token_guardado = ipython.user_ns.get('token_civitai', '') if ipython else ''

# --- 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"
}

# --- 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 completada! ✅"

def generar_metadata_civitai_forge(url, dest_path, pretty_name):
    """Descarga información del modelo desde la API de Civitai y crea el .json y .png para Forge"""
    match = re.search(r'models/(\d+)', url)
    if not match:
        match = re.search(r'modelVersionId=(\d+)', url)
    if not match:
        return

    version_id = match.group(1)

    try:
        with out_console:
            display(HTML(f"<p style='color:#4682B4;'>📄 Obteniendo metadata y preview para Forge (ID: <code>{version_id}</code>)...</p>"))
        
        # Obtener datos de la versión del modelo
        v_resp = requests.get(f"https://civitai.com/api/v1/model-versions/{version_id}", timeout=10)
        if v_resp.status_code != 200:
            with out_console:
                display(HTML(f"<p style='color:orange;'>⚠️ No se pudo obtener la metadata (Puede que el modelo esté oculto). Saltando preview y .json...</p>"))
            return
            
        v_data = v_resp.json()
        base_name = os.path.splitext(pretty_name)[0]
        
        if base_name == "Desconocido":
            return

        # --- 1. Descargar y guardar la imagen de preview (.png) ---
        images = v_data.get("images", [])
        if images:
            img_url = images[0].get("url")
            if img_url:
                try:
                    i_resp = requests.get(img_url, timeout=10)
                    if i_resp.status_code == 200:
                        img_path = os.path.join(dest_path, f"{base_name}.png")
                        with open(img_path, "wb") as f_img:
                            f_img.write(i_resp.content)
                        with out_console:
                            display(HTML(f"<p style='color:lightgreen;'>🖼️ Imagen preview <code>{base_name}.png</code> guardada.</p>"))
                except Exception as e:
                    with out_console:
                        display(HTML(f"<p style='color:orange;'>⚠️ Error al descargar imagen: {e}</p>"))

        # --- 2. Construir diccionario JSON para Forge ---
        trained_words = v_data.get("trainedWords", [])
        activation_text = ", ".join(trained_words)
        sd_version = v_data.get("baseModel", "Unknown")
        model_id = v_data.get("modelId", 0)
        model_version_id = v_data.get("id", 0)
        
        # Extraer el SHA256 si está disponible
        sha256 = ""
        files = v_data.get("files", [])
        for f in files:
            if "hashes" in f and "SHA256" in f["hashes"]:
                sha256 = f["hashes"]["SHA256"]
                break

        forge_metadata = {
            "activation text": activation_text,
            "sd version": sd_version,
            "modelId": model_id,
            "modelVersionId": model_version_id,
            "sha256": sha256
        }

        # Guardar el JSON
        json_filename = f"{base_name}.json"
        json_path = os.path.join(dest_path, json_filename)
        
        with open(json_path, "w", encoding="utf-8") as f:
            json.dump(forge_metadata, f, ensure_ascii=False, indent=4)
            
        with out_console:
            display(HTML(f"<p style='color:lightgreen;'>✅ Archivo de metadata <code>{json_filename}</code> creado con éxito.</p>"))

    except Exception as e:
        with out_console:
            display(HTML(f"<p style='color:orange;'>⚠️ Error construyendo metadata: {e}</p>"))

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)

        # --- Crear el JSON y PNG si es de Civitai ---
        if pretty_name and pretty_name != "Desconocido":
            if "civitai.com" in url or "civitaiarchive.com" in url:
                generar_metadata_civitai_forge(url, dest_path, pretty_name)

    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)</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 (Colab)</h2>"),
    widgets.HBox([token_input, widgets.HTML(mensaje_token)]),
    tabs,
    widgets.HTML("<hr>"),
    progress_container,
    out_console
])

display(ui)