@ -104,6 +104,12 @@ Now you can build the project, targeting to iPhone, iPad, or My Mac (Designed fo
- if you encounter the memory limit issues on mobile devices, please try adding `Increase Memory Limit` and `Extended Virtual Address Space` capabilities to your App ID. This adds an entitlement to your Xcode project.
- if you encounter the memory limit issues on mobile devices, please try adding `Increase Memory Limit` and `Extended Virtual Address Space` capabilities to your App ID. This adds an entitlement to your Xcode project.
- please make sure that you use the App ID which registered the capabilities, "Extended Virtual Address Space" and "Increased Memory Limit", at Developer - Identifiers site. Or Xcode displays the signing and capabilities errors.
- please make sure that you use the App ID which registered the capabilities, "Extended Virtual Address Space" and "Increased Memory Limit", at Developer - Identifiers site. Or Xcode displays the signing and capabilities errors.
### progress handler
- if you would like to handle the progress handler during generating images,
please check the another repo, which shows a sample of progress-handler.
AR Diffusion Museum: https://github.com/ynagatomo/ARDiffMuseum
### Large binary file
### Large binary file
- Since the model files are very large (about 2.5GB), it causes a large binary of the app.
- Since the model files are very large (about 2.5GB), it causes a large binary of the app.
@ -119,6 +125,14 @@ important as there could be data charges or storage impact that the user might n
![Image](images/ss_4_steps.png)
![Image](images/ss_4_steps.png)
## Related apps
- AR Diffusion Museum: It shows how to use the progress handler and displays the generating images
step by step.
- AR Wall Picture: It's a sample app that uses generated images. It displays images in Photo Library on the wall with AR.
![Image](images/relatedapps.jpg)
## References
## References
- Apple Swift Package / ml-stable-diffusion: https://github.com/apple/ml-stable-diffusion
- Apple Swift Package / ml-stable-diffusion: https://github.com/apple/ml-stable-diffusion