<p>In this tutorial, we design a practical image-generation workflow using the Diffusers library. We start by stabilizing the environment, then generate high-quality images from text prompts using Stable Diffusion with an optimized scheduler. We accelerate inference with a LoRA-based latent consistency approach, guide composition with ControlNet under edge conditioning, and finally perform localized edits via [&#8230;]</p>
<p>The post <a href="https://www.marktechpost.com/2026/02/20/a-coding-guide-to-high-quality-image-generation-control-and-editing-using-huggingface-diffusers/">A Coding Guide to High-Quality Image Generation, Control, and Editing Using HuggingFace Diffusers</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>