Categories: AI/ML Research

Using ControlNet with Stable Diffusion

ControlNet is a neural network that can improve image generation in Stable Diffusion by adding extra conditions. This allows users to have more control over the images generated. Instead of trying out different prompts, the ControlNet models enable users to generate consistent images with just one prompt. In this post, you will learn how to […]

The post Using ControlNet with Stable Diffusion appeared first on MachineLearningMastery.com.

AI Generated Robotic Content

Recent Posts

How to Create Effective Sales Pages (with Real-World Examples)

What goes into an effective sales page? What does a great sales page look like?…

8 hours ago

Controlling Language and Diffusion Models by Transporting Activations

The increasing capabilities of large generative models and their ever more widespread deployment have raised…

8 hours ago

Implement RAG while meeting data residency requirements using AWS hybrid and edge services

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications…

8 hours ago

Unlock multimodal search at scale: Combine text & image power with Vertex AI

The way users search is evolving. When searching for a product, users might type in…

8 hours ago

MiniMax unveils its own open source LLM with industry-leading 4M token context

LLM MiniMax-Text-o1 is of particular note for enabling up to 4 million tokens in its…

9 hours ago

LlamaV-o1: Curriculum learning–based LLM shows benefits of step-by-step reasoning in AI systems

A team of AI researchers at Mohamed bin Zayed University of AI, in Abu Dhabi,…

9 hours ago