Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models

arXiv:2609.16572 · cs.CV, cs.AI · Submitted 2026-09-15 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-15

Updated: 2026-09-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Diffusion Model — 23× in this paper · explained in 8 episodes
• Diffusion Models — 19× in this paper · explained in 6 episodes
• Distillation — 5× in this paper · explained in 2 episodes
• Adaptive Diffusion Step Controller — 3× in this paper
• Fidelity — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Knowledge Distillation — 3× in this paper · explained in 11 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
• BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
• DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
• CLIPScore: A Reference-free Evaluation Metric for Image Captioning
• Denoising Diffusion Implicit Models
• Pseudo Numerical Methods for Diffusion Models on Manifolds
• Denoising Diffusion Step-aware Models
• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
• Classifier-Free Diffusion Guidance

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