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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 27, 2026 · Artificial Intelligence

From Parameter Tuning to Control: CFG‑Ctrl Boosts Stability and Precision in Text‑to‑Image Generation

The paper introduces CFG‑Ctrl, a control‑theoretic redesign of classifier‑free diffusion guidance that treats the generation process as a dynamic system, achieving more stable and accurate text‑to‑image results across multiple model scales and evaluation metrics.

CFG-CtrlClassifier-Free GuidanceDiffusion Models
0 likes · 15 min read
From Parameter Tuning to Control: CFG‑Ctrl Boosts Stability and Precision in Text‑to‑Image Generation
vivo Internet Technology
vivo Internet Technology
Apr 1, 2026 · Artificial Intelligence

Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation

This article introduces C²FG, a training‑free, plug‑and‑play time‑adaptive exponential control function that replaces the fixed classifier‑free guidance scale, theoretically justifies its superiority with score discrepancy bounds, and demonstrates significant FID and IS improvements across multiple diffusion architectures on ImageNet.

CVPR 2026Classifier-Free GuidanceDiffusion Models
0 likes · 7 min read
Why Fixed CFG Fails and How Time‑Adaptive C²FG Boosts Diffusion Image Generation
AI Engineering
AI Engineering
Jan 28, 2026 · Artificial Intelligence

Alibaba Tongyi Unveils Z-Image Non‑Distilled Base Model with Full CFG and Negative Prompt Support

Alibaba's Tongyi releases the Z-Image base model, a non‑distilled diffusion transformer that supports full classifier‑free guidance, negative prompts, higher diversity, and fine‑tuning, contrasting with the faster Turbo variant and providing detailed usage instructions and community resources.

AlibabaClassifier-Free GuidanceDiffusion Transformer
0 likes · 4 min read
Alibaba Tongyi Unveils Z-Image Non‑Distilled Base Model with Full CFG and Negative Prompt Support