Stable Diffusion Speed Lab
The Stable Diffusion Speed Lab has a wide range of potential use cases for researchers and developers in the field of image generation and computer vision. One possible use case is in the field of data augmentation, where the model can generate a large number of realistic images to expand training datasets for machine learning models. This can help improve the performance and generalization ability of these models. Another use case is in the domain of content creation, where the model can be used to generate high-quality images for various purposes such as graphic design, advertising, or virtual reality. Additionally, the acceleration mechanism introduced in this model can be leveraged to reduce the computation time required for image generation, making it more feasible for real-time applications such as video game development or video synthesis. Overall, the Stable Diffusion Speed Lab has the potential to be a powerful tool for image generation and has various practical applications across different industries.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Whisper Jax Hindi
|Speedy Stable Diffusion Inpainting
You can use this area to play around with demo applications that incorporate the Stable Diffusion Speed Lab model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Stable Diffusion Speed Lab
Stable Diffusion, accelerated
|View on Replicate
|View on Replicate
|No Github link provided
|No paper link provided
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run
|Nvidia A100 (40GB) GPU
|Average Completion Time