The use of a graphics processor to perform many computational operations in parallel.
GPUs can support AI training and inference. NVIDIA CUDA is one platform for programming them. Acceleration depends on the workload, memory capacity and data transfer; not every operation benefits equally.
Source: Official documentation.
The FID Score is a standard evaluation metric used to measure the quality and realism of generated images.
The tendency of AI models to generate non-real, fabricated, or incorrect information/content. It manifests differently in text, image, and video generation.
The process where a trained AI model makes predictions or generates output on new inputs. In image generation, it corresponds to converting a prompt into an image.
A text command that defines unwanted elements in AI image generation. The model generates images while avoiding the elements specified in the negative prompt.
A text-based instruction or command given to AI models. It is used to describe the desired output and guides the model's generation process.
A discipline that encompasses techniques and strategies for writing prompts to get the best results from AI models. It includes proper word choice, structuring, and parameter usage.