Stable Diffusion High Resolution
The stable-diffusion-high-resolution model has several possible use cases in a technical context. First, it can be used in fields such as computer graphics, where high-quality and detailed images are required. The model can generate intricate textures, realistic lighting effects, and complex shapes, making it valuable for rendering environments, objects, or characters in video games, movies, or virtual reality experiences. Second, it can be employed in design and advertising, allowing designers to quickly generate high-resolution visuals for product mockups, architectural concepts, or promotional materials. This model can significantly speed up the creative process by automatically generating realistic images with fine details. Additionally, the stable-diffusion-high-resolution model can be used in scientific research, enabling scientists to simulate and visualize intricate molecular structures, fluid dynamics, or other complex phenomena. Overall, this model opens up possibilities for practical applications in industries that require high-resolution imagery and realistic renderings.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Compositional Vsual Generation With Composable Diffusion Models Pytorch||$0.01155||774|
You can use this area to play around with demo applications that incorporate the Stable Diffusion High Resolution 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.
|Model Name||Stable Diffusion High Resolution|
Detailed, higher-resolution images from Stable Diffusion
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||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||$0.1656|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||72 seconds|