Stable Diffusion Img2img
The stable-diffusion-img2img model has various use cases for technical audiences. One application is image stylization, where this model can be used to transform images into different artistic styles while preserving the underlying semantic content. Another use case is image colorization, where the model can convert grayscale or desaturated images into fully colored versions. Semantic segmentation is another potential application, where the model can generate pixel-level segmentation maps that classify different objects and regions within an image. These applications have practical uses in fields such as graphic design, entertainment, and computer vision, enabling the creation of unique visual effects, improved image editing capabilities, and advanced object recognition systems. Potential products using this model could include image editing software with enhanced stylization options, automated colorization tools for film restoration, and advanced image recognition systems for security and surveillance.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Stablelm Tuned Alpha 7b||$0.0207||96,399|
|Stablelm Base Alpha 3b||$?||215|
|Stablelm Base Alpha 7b||$?||532|
|Stable Diffusion Inpainting||$0.0069||15,376,702|
You can use this area to play around with demo applications that incorporate the Stable Diffusion Img2img 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 Img2img|
Generate a new image from an input image with 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||$0.0138|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||6 seconds|