POCKET-Image-Zimage / README.md
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metadata
license: apache-2.0
base_model:
  - Tongyi-MAI/Z-Image
pipeline_tag: text-to-image
library_name: diffusers
language:
  - ko
  - en
  - zh
  - ja
  - ar
  - th
tags:
  - text-to-image
  - image-generation
  - korean
  - multilingual
  - hangul
  - korean-text-rendering
  - typography
  - poster
  - on-device
  - pocket
  - vidraft

πŸ–ΌοΈ POCKET-Image-Zimage β€” 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 β€” Korean Β· δΈ­ζ–‡ Β· ζ—₯本θͺž Β· Ψ§Ω„ΨΉΨ±Ψ¨ΩŠΨ© Β· ΰΉ„ΰΈ—ΰΈ’ Β· Latin and more β€” 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 ("μ•ˆλ…•ν•˜μ„Έμš”" β†’ "μ•ˆγ…κΈ°"), POCKET-Image renders every glyph exactly.

✨ Highlights

  • βœ… 100% accurate text, any language β€” RTL (Arabic) and complex shaping (Thai, Indic) handled
  • πŸ–ΌοΈ Any background from a prompt β€” text is optional (empty β‡’ pure image)
  • ⚑ No GPU, no NPU β€” runs on plain CPU + RAM
  • πŸͺΆ From 4.5 GB footprint Β· πŸ’» Windows Β· macOS Β· Linux (RTX or Apple Silicon)
  • πŸ”’ Fully local β€” no cloud, no account

🎨 Try it

πŸ’» 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.


🧩 The POCKET Family β€” On-device AI by VIDRAFT

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

Models

Demos & tools (Spaces)

πŸ“š Full POCKET collection