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
The post A Coding Guide to High-Quality Image Generation, Control, and Editing Using HuggingFace Diffusers appeared first on MarkTechPost. Read More
