The article discusses the limitations of using ChatGPT for image generation and introduces Stable Diffusion as a more effective tool for creating images. It explores the various methods and features of Stable Diffusion, such as IP Adapter, ControlNet, Image-to-Image generation, and LoRA, which provide more control and flexibility in generating images. The article also explains how Stable Diffusion allows users to guide the image generation process based on specific conditions, such as using existing images or text prompts. It further delves into the options for non-coders and developers to utilize Stable Diffusion through the ModelsLab API, offering both a user-friendly interface and detailed customization. Additionally, the article discusses the concept of diffusion models and LoRAs, which can be used to modify and fine-tune image generation processes. It concludes by highlighting the complexity of integrating these components and recommends ComfyUI as a solution for creating detailed images with greater control. Overall, the article emphasizes the potential of generative AI in image generation and encourages users to explore and experiment with different tools and techniques offered by Stable Diffusion.
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Source link: https://www.sicara.fr/blog-technique/generative-ai-image-generation-stable-diffusion
A Tool for Image Generation Control with #PowerfulControl
