Stable Diffusion Inpainting
This stable-diffusion-inpainting model offers a range of exciting use cases for technical audiences. First and foremost, it can be applied to image restoration, where damaged or deteriorated images can be inpainted to recover their original state. This can be particularly useful for historical archives, art restoration, and forensic analysis. Additionally, the model can be used in the entertainment industry for post-production purposes, such as removing unwanted objects or filling in green screen backgrounds, thereby speeding up the editing process. It can also be employed in computer vision tasks, such as augmenting training data for object recognition algorithms by generating additional images with varied backgrounds. Potential products or practical applications of this model could include image editing software with inpainting capabilities, restoration tools for photographers, automated photo enhancement services, and plugins for popular image editing platforms.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Llama 2 13b Embeddings||$?||172,645|
|Codellama 7b Instruct Gguf||$?||46|
|Llama 2 13b Chat Gguf||$?||1,352|
|Codellama 34b Instruct Gguf||$?||60|
You can use this area to play around with demo applications that incorporate the Stable Diffusion Inpainting 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 Inpainting|
Inpainting using RunwayML's stable-diffusion-inpainting checkpoint
|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||$0.0069|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||3 seconds|