Improving Stable Diffusion XL with Bad AI-Generated Images | AI News

The author discusses their work on improving the Stable Diffusion XL (SDXL) model by fine-tuning it on bad AI-generated images. They highlight the support for ControlNet in SDXL, which allows for stronger control over the shape and composition of generated images. The author emphasizes their commitment to transparent AI journalism and ethical considerations. They conclude that the LoRA improves the quality and coherence of the generated images and discuss the potential for further development and experimentation with negative LoRAs. In the comments, users discuss the concept of personalized RLHF (Reinforcement Learning from Human Feedback) and suggest ways to implement user feedback in AI-generated images. They also discuss the effectiveness of LoRAs and the potential for interpretability and improvement in the model's loss function. Some users share their experiences with Stable Diffusion and SDXL, highlighting the improvements in image quality and versatility. One user also mentions an open-source framework for generative AI flows. 🔗 https://minimaxir.com/2023/08/stable-diffusion-xl-wrong/ #AI #Diffusion #AI #Midjourney #Prompt

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