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  1. Hace 4 días · Introduction to ControlNet AI. ControlNet represents a cutting-edge development in the field of AI-driven image generation. Unlike more traditional image synthesis models, ControlNet is designed to not only generate images but also to provide significant control over various attributes of these images during the generation process.

  2. 4 de may. de 2024 · OpenPose is a great tool that can detect body keypoint locations in images and video. By integrating OpenPose with Stable Diffusion, we can guide the AI in generating images that match specific poses. In this post, you will learn about ControlNets OpenPose and how to use it to generate similar pose characters.

  3. 12 de may. de 2024 · Recommendations for using the Hyper model: Sampler = DPM SDE++ Karras or another / 4-6+ steps CFG Scale = 1.5-2.0 (the lower the value, the more mutations, but the less contrast)I also recommend using ADetailer for generation (some examples were generated with ADetailer, this will be noted in the image comments).. This model is available on Mage.Space (main sponsor).

  4. Hace 5 días · Los AI Agents son programas creados para percibir su entorno y tomar decisiones automáticas utilizando modelos de inteligencia artificial. Por lo tanto, no es una IA con la que tienes que...

  5. 20 de may. de 2024 · Software setup. Install ControlNet Extension. Download IP-Adapter and LoRA models. Windows or Mac. Google Colab. Using an IP-adapter model in AUTOMATIC1111. Step 1: Select a checkpoint model. Step 2: Enter a prompt and the LoRA. Step 3: Enter ControlNet setting. Multiple IP-adapter Face ID. Using IP-Adapter in ComfyUI. Software setup.

  6. 16 de may. de 2024 · Capture the essence of each pose as you transition effortlessly. Delve into the world of Stable Diffusion and ControlNet for seamless pose changes. 1. Introduction 2. Requirements for Pose Changing 3. Txt2img Settings 4. ControlNet Settings 5. Examples 6. Conclusion.

  7. 20 de may. de 2024 · Pttrns May 20, 2024. ControlNet is paired with Stable Diffusion to enhance the generation of images with more control based on input conditions or constraints. In this guide, we will help you get more precise images with steps and a demonstration to get you all covered. ControlNet on Stable Diffusion.