🖼️ POCKET-Image-Zimage — Character-Perfect Text in Any Image

POCKET-Image is VIDRAFT's on-device text-in-image system. It places character-perfect text in any language — Korean · 中文 · 日本語 · العربية · ไทย · Latin and more — onto any scene you describe. Built on the open, commercial-friendly Z-Image foundation and VIDRAFT's POCKET-Core engine.

Where global models smear non-Latin scripts ("안녕하세요" → "안ㅐ기"), POCKET-Image renders every glyph exactly.

✨ Highlights

• ✅ 100% accurate text, any language — RTL (Arabic) and complex shaping (Thai, Indic) handled
• 🖼️ Any background from a prompt — text is optional (empty ⇒ pure image)
• ⚡ No GPU, no NPU — runs on plain CPU + RAM
• 🪶 From 4.5 GB footprint · 💻 Windows · macOS · Linux (RTX or Apple Silicon)
• 🔒 Fully local — no cloud, no account

🎨 Try it

• Studio (generate here): https://huggingface.co/spaces/FINAL-Bench/POCKET-Image-Studio

💻 On-device footprint (measured)

Machine	Peak memory
RTX 3050 / 4060	8.6 GB
RTX 2060 (6 GB, offloaded)	4.5 GB
MacBook (M1 Pro–M4, 16 GB+)	13.4 GB

Base model: Tongyi-MAI/Z-Image (Apache-2.0). Engine: VIDRAFT POCKET-Core.

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🧩 The POCKET Family — On-device AI by VIDRAFT

Big models, small hardware. No GPU, no cloud.

Models

• 📦 POCKET-35B-GGUF — flagship, PC / server, no GPU
• 📦 POCKET-26B-GGUF — compact 26B
• 🇰🇷 POCKET-KR-GGUF — Korean, Android
• 🍎 POCKET-KR-MLX — Korean, iPhone / Mac
• 🌍 POCKET-EN-GGUF — English, phone / PC
• 🖼️ POCKET-Image-Zimage — character-perfect text in any image

Demos & tools (Spaces)

• 🎨 POCKET-Image Studio — text-in-image, generate in-page
• 🖥️ POCKET-35B-CPU — 35B answering on a CPU
• 🖥️ POCKET-26B-CPU — 26B on a CPU

📚 Full POCKET collection