Qwen Image 2512
Visual Synthesis
Experience the artist that actually reads. Qwen Image 2512 integrates the Qwen-VL reasoning engine for perfect text rendering, bilingual understanding, and unmatched semantic accuracy.
Bridging Language &
Visual Synthesis
Qwen Image 2512 represents a paradigm shift. Unlike traditional diffusion models that rely solely on CLIP embeddings, 2512 integrates the massive Qwen-VL reasoning engine. This allows the model to truly "read" and reason about your prompt before generating a single pixel.
The result is a model that excels where others fail: coherent text rendering, complex spatial compositions, and deep cultural nuance in both English and Chinese.
Native Typography Generation
Generates clear, legible text within images—perfect for posters, logos, and signage.
Bilingual Mastery
Trained on a massive corpus of Chinese and English data for deep cultural understanding.
Complex Instruction Following
Handles multi-subject scenes and negative constraints with 92% higher adherence than v1.
PROMPT
"A neon sign that says 'QWEN 2512' reflecting on a rainy cyber street."
REASONING ENGINE
- > Analyzing text content: "QWEN 2512"
- > Setting atmosphere: Rainy, Reflective, Neon
- > Aligning glyphs for legibility...
Under the Hood of
Qwen Image 2512
We didn't just train another diffusion model. We redefined the relationship between language understanding and visual generation. Qwen Image 2512 utilizes a two-stage training strategy leveraging the massive Qwen-VL vision-language model.
Qwen-VL Backbone
Most models use CLIP, which has limited understanding of complex grammar and dense text. Qwen Image 2512 replaces this with the encoder from Qwen-VL-Chat. This enables the model to understand nuanced prompts, sarcasm, and spatial relationships before the generation process even begins.
- Supports 32k context length for long-form prompts
- Deep semantic alignment for bilingual queries
High-Quality Data Curation
Training data is key. We curated a massive dataset specifically filtered for aesthetic quality, text legibility, and cultural diversity. The fine-tuning stage involves millions of high-fidelity image-text pairs to polish the model's artistic capabilities.
- Proprietary aesthetic scoring mechanism
- Diverse typography dataset for better OCR
Core Technology
Intelligent by
Design
The 2512 series merges the reasoning capabilities of Large Language Models with the creative potential of diffusion transformers.
Text-Aware Generation
Unlike predecessors, Qwen Image 2512 can render error-free paragraphs of text on signboards, books, and labels within the image.
Bilingual Native
Deeply aligned with both Chinese and English cultural concepts, idioms, and artistic styles without translation losses.
Visual Reasoning
Powered by Qwen-VL, it understands "why" elements should be placed together, ensuring logical spatial consistency.
Any Aspect Ratio
Native bucket-based training allows for extreme aspect ratios (up to 1:4 or 4:1) without degradation or cropping.
Photorealistic Fidelity
Enhanced diffusion noise schedules provide skin texture and lighting accuracy that rivals commercial photography.
Optimized Inference
Despite the larger reasoning encoder, optimized FlashAttention-2 kernels ensure sub-2-second generation times.
Live Demonstration
Experience the Qwen Image 2512 capability in real-time.
SUGGESTIONS
Your generated artwork will appear here
Community Showcase
Created by users with Qwen Image 2512.
"Nebula explosion in deep space"
"Cyberpunk street vendor"
"Abstract geometric glass structure"
"Ancient library with floating books"
"Portrait of a cyborg in renaissance style"
"Minimalist landscape of mars"
Frequently Asked Questions
Everything you need to know about Qwen Image 2512.
Qwen Image 2512 is the latest open-weight text-to-image generation model from the Qwen Team. It leverages the powerful Qwen-VL vision-language model as a text encoder to achieve state-of-the-art performance in prompt adherence, text rendering, and bilingual (English/Chinese) generation.
While traditional models often struggle with complex prompts or rendering text accurately, Qwen Image 2512 excels at these thanks to its Qwen-VL backbone. It allows for coherent text generation within images (typography) and precise following of complex spatial instructions.
Yes! Unlike many western-centric models, Qwen Image 2512 is natively bilingual. It has been trained on a massive corpus of high-quality Chinese and English data, allowing it to understand cultural nuances, idioms, and specific aesthetic styles from both languages.
The model has 2.5 billion parameters. For inference, we recommend a GPU with at least 16GB of VRAM for comfortable generation at standard resolutions. Optimization techniques like quantization can further lower these requirements.
Qwen Image 2512 is released under the Apache 2.0 license, which generally permits commercial use. Please refer to the official license documentation on our GitHub repository for full details.