Z-IMAGE TURBO en FORGE NEO (4GB VRam)

Lección 167 de 18192%

Ya has superado la mitad. Estás muy cerca de completar el curso.

Sobre esta lección

Para actualizar a la nueva versión, ejecuta de nuevo "1_Install_ForgeNeo_AcademiaSD.bat" Para instalar el SageAttention 220 descarga el nuevo instalador de Triton y SageAttention a continuación: Instalador de Triton y SageAttention 220 para Forge Neo con cuda 130 y torch 290 https://drive.google.com/file/d/1WEb6naQVX_2Jlm8yMmE03PdNLh4Z-dNq/view?usp=sharing Este impresionante modelo ahora podemos hacerlo correr en el interface ForgeNeo WebUI, en este tutorial de enseño paso a paso. Prueba Z-Image Turbo online gratis: https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo 🔗 Enlace zip del instalador V2 de ForgeNeo https://drive.google.com/file/d/1ZEXXFeLC6B4JUsB5xRXqRI5eTFp7zWYF/view?usp=sharing Instalar aceleradores, añadir en webui-user.bat --xformers --pin-shared-memory --cuda-malloc --cuda-stream --flash --fast-fp16 🔗 Enlace Z.Image turbo en BF16 https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/diffusion_models 🔗 Enlace Z.Image turbo en FP8 https://huggingface.co/drbaph/Z-Image-Turbo-FP8/tree/main 🔗 Enlace Z.Image turbo gguf https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/tree/main 🔗 Enlace text encoder https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/text_encoders 🔗 Enlace vae https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/vae 🔗 Enlace al Github de ForgeNeo https://github.com/Haoming02/sd-webui-forge-classic/tree/neo?tab=readme-ov-file#stable-diffusion-webui-forge---neo Discord del Canal https://discord.gg/Syuaduy678 X https://twitter.com/Academia_S_D Conviértete en miembro de este canal para apoyarme en la creación de este curso y disfrutar de ventajas: https://www.youtube.com/channel/UCsMButcHc7BTfOR4fMPi4rw/join Algunos Prompts usados en este video: A beautiful young woman with smooth caramel-toned skin and expressive dark eyes sits at her sleek gaming desk in a modern, high-end streaming room designed for Twitch broadcasting. She wears premium over-ear RGB headphones pushed slightly back on her long curly black hair. Her face is softly illuminated by the glow of dual curved monitors displaying a live chat feed, OBS overlays, and colorful gameplay elements. A professional broadcast microphone on a boom arm is positioned near her, with a subtle reflection of her face visible on its polished metal surface. Behind her, customizable LED light strips shift between soft blue, violet, and cyan tones, casting vibrant gradients across sound-dampening panels and a neatly arranged shelf of collectible figures. High-detail surroundings include: a mechanical keyboard with translucent keycaps glowing rainbow hues, a mouse with a braided cable curling naturally across the desk, a small steaming cup of herbal tea next to a notepad with quickly scribbled stream ideas, and a DSLR camera mounted on a mini tripod with a softbox light giving her a flattering, studio-quality key light. Ultra-realistic rendering: crisp reflections on glass displays, subtle fabric texture on her hoodie, smooth skin lighting transitions, detailed shadows on equipment, and gentle warm highlights from the tea steam. Cozy, immersive, late-night streaming atmosphere. A beautiful young woman in her early 20s lying comfortably on her bed in a softly lit modern bedroom. She has gentle, relaxed features, medium-length dark hair loosely tousled, and warm brown eyes illuminated by the soft glow of her smartphone screen as she scrolls through it. She is partially propped up against a pair of large, textured throw pillows in muted earth tones — terracotta, charcoal, and cream. The bedroom has a warm, intimate atmosphere: deep walnut furniture, matte black accents, and dim ambient lighting from a modern bedside lamp with a warm Edison bulb. The walls are painted a calming slate-gray with a few framed minimalist art prints. A narrow shelf above the bed holds small potted plants, a candle in a smoked-glass holder, and a ceramic dish with jewelry. Her bedding consists of a dark, cozy duvet in a muted olive green and a soft knitted blanket draped casually across her legs. A half-open novel rests beside her along with a pair of wireless earbuds. The wooden nightstand holds a glass of water, a charging dock with a smartwatch, and a subtle amber-glow nightlight casting gentle shadows across the room. Soft, realistic nighttime lighting dominates: the warm lamp on one side mixes with the cool, faint blue light from the smartphone, creating natural dual-tone shadows on her face. The window in the background shows blurred city lights and faint reflections in the glass. Ultra-detailed textures — the knit blanket fibers, matte ceramic surfaces, the grain of the wood furniture, faint wrinkles in the bedding — enhance the realism and atmosphere. The environment feels calm, private, mature, and lived-in.

Sobre este curso

No te pierdas este Curso de Stable Diffusion y convíertete en todo un profesional de la generación de imágenes asistida por inteligencia Artificial. No olvides suscribirte a nuestro canal para no perderte ningún capítulo.

Lección 167 de 181Nivel: principianteDuración total: 26h 41m

Lo que aprenderás en este curso:

  • Comprender los fundamentos del aprendizaje automático
  • Implementar algoritmos de clasificación y regresión
  • Preparar y limpiar datos para modelos predictivos
  • Evaluar y optimizar modelos de machine learning