Stable Diffusion XL (SDXL) Benchmark – 769 Images Per Dollar on Salad
Stable Diffusion XL (SDXL) Benchmark A couple months back, we showed you how to get almost 5000 images per dollar with Stable Diffusion 1.5. Now, with the release of Stable Diffusion XL, we’re fielding a lot of questions regarding the potential of consumer GPUs for serving SDXL inference at scale. The answer from our Stable […]
Whisper Large Inference Benchmark: 137 Days of Audio Transcribed in 15 Hours for Just $117
Save Over 99% On Audio Transcription Using Whisper-Large-v2 and Consumer GPUs Harnessing the power of OpenAI’s Whisper Large V2, an automatic speech recognition model, we’ve dramatically reduced audio transcription costs and time. Here’s a deep dive into our benchmark against the substantial English CommonVoice dataset and how we achieved a 99.1% cost reduction. A Costly […]
Exploring AI Bias by Turning Faces into Salads – An Experiment
What is AI Bias in Image Generation? Type in ‘An engineer smiling at the camera’ as the prompt into a few AI image generators. What do you see? A collection of men in most cases. In a recent experiment, 298 out of the 300 stable diffusion generated images were of perceived men for the prompt […]
Optimizing AI Image Generation: Streamlining Stable Diffusion with ControlNet in Containerized Environments
Implementing Stable Diffusion with ControlNet in any containerized environment comes with a plethora of challenges, mainly due to the sizable amount of additional model weights required to be incorporated in the image. In this blog, we discuss these challenges and how they can be mitigated. What is ControlNet for Stable Diffusion? ControlNet is a network […]