diff --git a/README.md b/README.md index 7cfdfd0ab..4a7e8f5c7 100644 --- a/README.md +++ b/README.md @@ -66,10 +66,10 @@ Additional models will be added as they become available and there is public int - *nVidia* GPUs using **CUDA** libraries on both *Windows and Linux* - *AMD* GPUs using **ROCm** libraries on *Linux*. Support will be extended to *Windows* once AMD releases ROCm for Windows +- *Intel Arc* GPUs using **OneAPI** with *IPEX XPU* libraries on both *Windows and Linux* - Any GPU compatibile with *DirectX* on *Windows* using **DirectML** libraries. This includes support for AMD GPUs that are not supported by native ROCm libraries -- *Intel Arc* GPUs using *Intel OneAPI* **Ipex/XPU** libraries -- *Intel* GPUs using *Intel OneAPI* **OpenVINO** libraries +- *Intel* GPUs using **OpenVINO** libraries on both *Windows and Linux* - *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations ## Install & Run @@ -83,7 +83,7 @@ Additional models will be added as they become available and there is public int - [FAQ](https://github.com/vladmandic/automatic/discussions/1011) - Server can run without virtual environment, but it is recommended to use it to avoid library version conflicts with other applications -- **nVidia/CUDA** and **AMD/ROCm** are auto-detected if present and available, +- **nVidia/CUDA** / **AMD/ROCm** / **Intel/OneAPI** are auto-detected if present and available, but for any other use case specify required parameter explicitly or wrong packages may be installed as installer will assume CPU-only environment - Full startup sequence is logged in `sdnext.log`, so if you encounter any issues, please check it first diff --git a/modules/sd_models.py b/modules/sd_models.py index f54e3c84c..06b713577 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -121,6 +121,7 @@ class CompiledModelState: self.batch_size = 1 self.first_pass = True + class NoWatermark: def apply_watermark(self, img): return img