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GLM Image

AI image generator with accurate text rendering

2026-02-06

Product Introduction

  1. Overview: GLM Image is an open-source auto-regressive AI model specializing in text-integrated image generation using transformer architecture.
  2. Value: Converts natural language prompts into professional-grade visuals with industry-leading text accuracy for practical applications.

Main Features

  1. Natural Language Image Editing: Modify images through text commands without complex tools using GLM's instruction-following capabilities.
  2. Multi-Image Referencing: Upload up to 3 reference images for style/layout guidance using cross-attention mechanisms.
  3. Identity-Consistent Generation: Maintains key elements (faces, logos, products) across edits through object permanence algorithms.
  4. Precision Control System: Make targeted modifications without affecting surrounding elements via spatial-aware diffusion.
  5. High-Fidelity Output Engine: Delivers print-ready 1024px resolution images with photorealistic detail and anti-aliased text.

Problems Solved

  1. Challenge: AI-generated images with garbled text and inaccurate concept representation.
  2. Audience: Content creators, educators, marketers needing information-rich visuals.
  3. Scenario: Generating textbook diagrams with legible labels or marketing posters with embedded pricing tables.

Unique Advantages

  1. Vs Competitors: Superior text rendering accuracy (93% OCR success rate) compared to Stable Diffusion/DALL-E.
  2. Innovation: Auto-regressive architecture enables sequential element generation for coherent layouts.

Frequently Asked Questions (FAQ)

  1. How does GLM Image handle text generation? GLM Image uses character-aware diffusion and font embedding systems to produce crisp, editable text within images.
  2. Can I use GLM Image commercially? Yes, the open-source Apache 2.0 license permits commercial use with attribution.
  3. What file formats are supported? GLM Image exports PNG, JPEG, and SVG files with transparent background options.

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