GLM Image
Unlock the power of GLM-Image, the innovative hybrid AI architecture (9B AR + 7B DiT). The ideal AI image generator for dense-text posters, knowledge-intensive illustrations, and professional image editing.
GLM SOTA Text Rendering & Typography
Minimize gibberish text in AI images. GLM-Image integrates a Glyph Encoder to achieve state-of-the-art performance in text rendering. Leading open-source benchmarks like CVTG-2K and LongText-Bench, it accurately generates coherent sentences, Chinese characters, and English labels. Ideal for commercial posters, book covers, and diagrams where text accuracy is critical.
Knowledge-Intensive Image Generation with GLM AI
GLM-Image stands out as a cognitive AI image generator. Thanks to its Autoregressive foundation initialized from GLM-4-9B, the model understands complex, information-dense prompts better than standard diffusion models. Whether you need scientific illustrations, flowcharts, or detailed infographics (like recipe guides), it aligns visual elements logically with your knowledge inputs.
Advanced GLM Image-to-Image & Style Transfer
Beyond text-to-image, GLM-Image offers robust Image-to-Image (I2I) capabilities. It supports image editing, style transfer, and identity-preserving generation. By utilizing block-causal attention between reference and generated images, it maintains the subject's high-frequency details while effectively applying new styles or modifying backgrounds (e.g., changing a snowy forest to a subway station) without losing the original essence.
Optimized for Semantic & Visual Quality
GLM-Image utilizes an advanced decoupled reinforcement learning strategy (GRPO). The AR module is optimized for aesthetics and semantic alignment, while the Decoder is fine-tuned for fidelity. This ensures outputs are visually stunning and strictly adhere to your prompt's logical requirements, bridging the gap between artistic beauty and instruction following.
Innovative Hybrid AR + Diffusion Architecture
GLM-Image is more than just a diffusion model. It adopts a unique hybrid architecture combining a 9B-parameter Autoregressive (AR) generator for understanding with a 7B-parameter Diffusion Decoder (DiT) for details. This dual-engine approach ensures superior composition and high-frequency texture details, surpassing many models in complex reasoning tasks.
Commercial Posters
Create advertising posters with accurate brand names, slogans, and product descriptions embedded directly in the image.
Social Media Graphics
Generate visually striking covers for Tiktok, Facebook, Instagram, or blogs that combine aesthetics with readable text elements.
Comic & Storyboards
Maintain multi-subject consistency and identity preservation across different panels for coherent visual storytelling.
Artistic Style Transfer
Transform ordinary photos into specific artistic styles (like sketch or oil painting) while keeping the main subject recognizable.
Science & Education Illustrations
Generate accurate anatomical diagrams, chemical structures, or physics principles with correct labeling and layouts.
Infographics & Charts
Visualize processes or step-by-step guides (e.g., cooking recipes, instructions) with clear visual hierarchy.
Presentation Materials
Create custom visuals for PPTs that strictly follow your semantic instructions, reducing hallucinations common in other models.
Historical Reconstructions
Render culturally specific content (like Chinese calligraphy or traditional artifacts) with high fidelity.
Background Replacement
Seamlessly swap backgrounds while maintaining perfect lighting and shadow consistency on the subject.
Identity Preservation
Generate new scenarios for a specific character without losing their facial features or key identity traits.
Image Extension
Expand the boundaries of your images (outpainting) or change aspect ratios while keeping context intact.
Virtual Try-On & Inpainting
Edit specific parts of an image based on text commands, such as changing clothing or adding objects.
Simple Pricing, Professional Results
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