Stable Diffusion V1 5
The stable-diffusion-v1-5 AI model has several potential use cases for a technical audience. One possible application is in the field of virtual reality or game development, where developers can use the model to automatically generate realistic images based on textual descriptions of scenes or objects. Another use case is in the e-commerce industry, where this model can be used to generate product images based on product descriptions, thus automating the process of creating visuals for online stores. Additionally, the stable-diffusion-v1-5 model can be employed in graphic design or advertising, allowing designers to quickly generate visual concepts based on written briefs. Overall, this AI model opens up possibilities for numerous products and practical uses, such as automated image generation tools, virtual scene visualization, or even assistive technology for the visually impaired.
- 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 V1 5 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 V1 5|
stable-diffusion with v1-5 checkpoint
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||No Github link provided|
|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||$0.0115|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||5 seconds|