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Fix latent antialias with IPEX

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Disty0
2023-07-13 23:13:44 +03:00
parent 5eb9f388ef
commit d4c9d752f4
1 changed files with 4 additions and 1 deletions
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modules/processing.py
+4 -1
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@@ -1003,7 +1003,10 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
if latent_scale_mode is not None:
for i in range(samples.shape[0]):
save_intermediate(samples, i)
samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode["mode"], antialias=latent_scale_mode["antialias"])
if devices.backend == 'ipex' and latent_scale_mode["antialias"]:
samples = torch.nn.functional.interpolate(samples.to("cpu"), size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode["mode"], antialias=latent_scale_mode["antialias"]).to(devices.get_cuda_device_string())
else:
samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode["mode"], antialias=latent_scale_mode["antialias"])
if getattr(self, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) < 1.0:
image_conditioning = self.img2img_image_conditioning(decode_first_stage(self.sd_model, samples.to(dtype=devices.dtype_vae)), samples)
else: