ControlNet has numerous potential use cases in various domains. In the field of creative arts, it could be used to automatically generate visuals for storytelling or video game environments based on textual descriptions. In the fashion industry, it could assist designers by creating realistic images of clothing designs from text descriptions. In e-commerce, it could enable users to search for products using natural language descriptions and generate images of the desired items. Furthermore, ControlNet could be integrated into virtual reality or augmented reality systems to generate realistic virtual scenes based on textual input. Overall, this AI model has the potential to power a wide range of products and applications that require the conversion of text into visually meaningful content.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
You can use this area to play around with demo applications that incorporate the Controlnet 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.
Control diffusion models
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
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|