Rice University computer scientists have developed a new method for generating images using pre-trained diffusion ... generation paths. It subtracts the conditional model from the unconditional ...

Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders ...

Gemini Diffusion is a new AI model by Google DeepMind that transforms jumbled inputs into coherent text or code at record ...

Some prominent examples include: Stable Diffusion - Released ... Imagen - This diffusion model showed impressive photorealism and deep language understanding in image generation tasks.

Google has announced its new Imagen 4 AI image generation model at Google I/O 2025, and it is now good at spelling and ...

From chaotic random images ... model data with Stable Diffusion. The specification of a certain image style as an additional description can help to achieve a quick sense of achievement. For ...

The AI model is also “significantly better at spelling and typography,” which Collins says makes it easier to create greeting ...

Repetitive patterns. AI may repeat textures or artifacts in backgrounds due to limitations in its training data. When in ...

Stable Diffusion ... image quality. The available options vary depending on the platform you’re using. For example, running the AI image generator locally gives you deep control over model ...

It uses an autoregressive generation method, while models like DALL-E and Stable Diffusion use ... lists cases where the model will refuse to generate images: for example, it will refuse prompts ...