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IPEX fix ControlNet PidiNet

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Disty0
2023-08-04 04:15:25 +03:00
parent b64fecf22e
commit fc3d96f6f6
2 changed files with 3 additions and 2 deletions
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html/locale_en.json
+1 -1
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@@ -570,7 +570,7 @@
{"id":"","label":"Use model EMA weights when possible","localized":"","hint":""},
{"id":"","label":"Generator device","localized":"","hint":""},
{"id":"","label":"Enable sequential CPU offload","localized":"","hint":"Reduces GPU memory usage by transferring weights to the CPU. Increases inference time approximately 10%. Use with Enable Attention slicing for minimal memory consumption"},
{"id":"","label":"Enable model CPU offload","localized":"","hint":"Transferring of entire models to the GPU, negligible impact on inference time while still providing some memory savings. Use with Enable Attention slicing for additional memory savings"},
{"id":"","label":"Enable model CPU offload","localized":"","hint":"Transferring of entire models to the CPU, negligible impact on inference time while still providing some memory savings. Use with Enable Attention slicing for additional memory savings"},
{"id":"","label":"Enable VAE slicing","localized":"","hint":"Decodes batch latents one image at a time with limited VRAM. Small performance boost in VAE decode on multi-image batches. Use with Enable Attention slicing"},
{"id":"","label":"Enable VAE tiling","localized":"","hint":"Divide large images into overlapping tiles with limited VRAM. Might result in a minor increase in processing time. Use with Enable Attention Slicing"},
{"id":"","label":"Enable attention slicing","localized":"","hint":"Performs attention computation in steps instead of all at once. 10% slower inference times. Greatly reduces memory usage. Best used, period"},
modules/ipex_specific/__init__.py
+2 -1
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@@ -37,9 +37,10 @@ def ipex_init():
torch.cuda.stream = torch.xpu.stream
torch.cuda.synchronize = torch.xpu.synchronize
torch.cuda.Event = torch.xpu.Event
torch.cuda.Stream = torch.xpu.Stream
torch.cuda.FloatTensor = torch.xpu.FloatTensor
torch.Tensor.cuda = torch.Tensor.xpu
torch.Tensor.is_cuda = torch.Tensor.is_xpu
torch.cuda.Stream = torch.xpu.Stream
#Memory:
torch.cuda.empty_cache = torch.xpu.empty_cache