INNER CODE UNIT · Python
image
KlingAIResearch/ReCamMaster · diffsynth/extensions/ESRGAN/__init__.py:95
image = torch.Tensor(np.array(image, dtype=np.float32) / 255).permute(2, 0, 1)
return image
def process_images(self, images):
images = [self.process_image(image) for image in images]
images = torch.stack(images)
return images
def decode_images(self, images):
images = (images.permute(0, 2, 3, 1) * 255).clip(0, 255).numpy().astype(np.uint8)
images = [Image.fromarray(image) for image in images]
return images
@torch.no_grad()
def upscale(self, images, batch_size=4, progress_bar=lambda x:x):
if not isinstance(images, list):
images = [images]
is_single_image = True