The image diffusion model, in its simplest form, generates an image from the prompt. The prompt can be a text prompt or an image as long as a suitable encoder is available to convert it into a tensor that the model can use as a condition to guide the generation process. Text prompts are probably […]
The post More Prompting Techniques for Stable Diffusion appeared first on MachineLearningMastery.com.
To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence…
This post is cowritten with James Luo from BGL. Data analysis is emerging as a…
In his book The Intimate Animal, sex and relationships researcher Justin Garcia says people have…
ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero…