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author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-01-04 15:57:14 +0000 |
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committer | GitHub <noreply@github.com> | 2023-01-04 15:57:14 +0000 |
commit | 32547f2721c92794779e6ff9fb325243d5857cae (patch) | |
tree | d4d5f1a9705e59eef5029cc1be3bff57fbd389c2 /modules/upscaler.py | |
parent | fe6e2362e8fa5d739de6997ab155a26686d20a49 (diff) | |
parent | 3dae545a03f5102ba5d9c3f27bb6241824c5a916 (diff) | |
download | stable-diffusion-webui-gfx803-32547f2721c92794779e6ff9fb325243d5857cae.tar.gz stable-diffusion-webui-gfx803-32547f2721c92794779e6ff9fb325243d5857cae.tar.bz2 stable-diffusion-webui-gfx803-32547f2721c92794779e6ff9fb325243d5857cae.zip |
Merge branch 'master' into xygrid_infotext_improvements
Diffstat (limited to 'modules/upscaler.py')
-rw-r--r-- | modules/upscaler.py | 38 |
1 files changed, 31 insertions, 7 deletions
diff --git a/modules/upscaler.py b/modules/upscaler.py index d9d7c5e2..231680cb 100644 --- a/modules/upscaler.py +++ b/modules/upscaler.py @@ -10,6 +10,7 @@ import modules.shared from modules import modelloader, shared LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS) +NEAREST = (Image.Resampling.NEAREST if hasattr(Image, 'Resampling') else Image.NEAREST) from modules.paths import models_path @@ -36,10 +37,11 @@ class Upscaler: self.half = not modules.shared.cmd_opts.no_half self.pre_pad = 0 self.mod_scale = None - if self.name is not None and create_dirs: + + if self.model_path is None and self.name: self.model_path = os.path.join(models_path, self.name) - if not os.path.exists(self.model_path): - os.makedirs(self.model_path) + if self.model_path and create_dirs: + os.makedirs(self.model_path, exist_ok=True) try: import cv2 @@ -51,14 +53,22 @@ class Upscaler: def do_upscale(self, img: PIL.Image, selected_model: str): return img - def upscale(self, img: PIL.Image, scale: int, selected_model: str = None): + def upscale(self, img: PIL.Image, scale, selected_model: str = None): self.scale = scale - dest_w = img.width * scale - dest_h = img.height * scale + dest_w = int(img.width * scale) + dest_h = int(img.height * scale) + for i in range(3): + shape = (img.width, img.height) + + img = self.do_upscale(img, selected_model) + + if shape == (img.width, img.height): + break + if img.width >= dest_w and img.height >= dest_h: break - img = self.do_upscale(img, selected_model) + if img.width != dest_w or img.height != dest_h: img = img.resize((int(dest_w), int(dest_h)), resample=LANCZOS) @@ -119,3 +129,17 @@ class UpscalerLanczos(Upscaler): self.name = "Lanczos" self.scalers = [UpscalerData("Lanczos", None, self)] + +class UpscalerNearest(Upscaler): + scalers = [] + + def do_upscale(self, img, selected_model=None): + return img.resize((int(img.width * self.scale), int(img.height * self.scale)), resample=NEAREST) + + def load_model(self, _): + pass + + def __init__(self, dirname=None): + super().__init__(False) + self.name = "Nearest" + self.scalers = [UpscalerData("Nearest", None, self)]
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