Stable Diffusion Wip


AI model preview image
The stable-diffusion-wip model is a development branch of an inpainting model that focuses on stable diffusion. Inpainting is the process of filling in missing or corrupted parts of an image with plausible content. The model aims to improve the stability of the inpainting process by implementing stable diffusion techniques. This helps to produce more accurate and realistic inpainted images.

Use cases

The stable-diffusion-wip model has several potential use cases for a technical audience. One possible application is in image restoration, where damaged or degraded images can be inpainted to restore missing or corrupted parts. This could be useful in fields such as digital forensics or historical preservation. Another use case is in the entertainment industry, where this model could be used to enhance visual effects in movies or video games by seamlessly filling in gaps or removing unwanted objects from scenes. Additionally, this model could be integrated into photo editing software, allowing users to easily remove unwanted elements from their photographs or create composite images. The stable-diffusion-wip model has the potential to be the foundation for various products and practical uses. For example, it could power a user-friendly desktop application for inpainting that can be used by photographers, designers, or anyone needing to restore or edit images. It could also be integrated into cloud-based services that offer image restoration or enhancement capabilities. Furthermore, this model could serve as a basis for an API that developers can use to incorporate inpainting functionality into their own software applications or platforms. Overall, the stable-diffusion-wip model has the potential to revolutionize the field of inpainting and enable a wide range of practical applications.



Cost per run
Avg run time
Nvidia A100 (40GB) GPU

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Try it!

You can use this area to play around with demo applications that incorporate the Stable Diffusion Wip 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 NameStable Diffusion Wip
(development branch) Inpainting for Stable Diffusion
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkNo paper link provided


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$0.0253
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time11 seconds