extras: Rework image cache
Bit of a refactor to the image cache to make it easier to extend. Also takes into account the entire image instead of just a cropped portion.
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@ -7,7 +7,7 @@ from PIL import Image
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import torch
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import tqdm
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from typing import Callable, List, Tuple
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from typing import Callable, Dict, List, Tuple
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from functools import partial
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from dataclasses import dataclass
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@ -21,7 +21,18 @@ import piexif.helper
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import gradio as gr
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cached_images = {}
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@dataclass(frozen=True)
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class CacheKey:
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image_hash: int
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info_hash: int
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args_hash: int
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@dataclass
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class CacheEntry:
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image: Image.Image
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info: str
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cached_images: Dict[CacheKey, CacheEntry] = {}
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def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool ):
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@ -84,22 +95,13 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
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def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
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small = image.crop((image.width // 2, image.height // 2, image.width // 2 + 10, image.height // 2 + 10))
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pixels = tuple(np.array(small).flatten().tolist())
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key = (resize, scaler_index, image.width, image.height, gfpgan_visibility, codeformer_visibility, codeformer_weight,
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resize_mode, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop) + pixels
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c = cached_images.get(key)
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if c is None:
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upscaler = shared.sd_upscalers[scaler_index]
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c = upscaler.scaler.upscale(image, resize, upscaler.data_path)
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if mode == 1 and crop:
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cropped = Image.new("RGB", (resize_w, resize_h))
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cropped.paste(c, box=(resize_w // 2 - c.width // 2, resize_h // 2 - c.height // 2))
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c = cropped
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cached_images[key] = c
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return c
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upscaler = shared.sd_upscalers[scaler_index]
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res = upscaler.scaler.upscale(image, resize, upscaler.data_path)
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if mode == 1 and crop:
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cropped = Image.new("RGB", (resize_w, resize_h))
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cropped.paste(res, box=(resize_w // 2 - res.width // 2, resize_h // 2 - res.height // 2))
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res = cropped
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return res
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def run_prepare_crop(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
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# Actual crop happens in run_upscalers_blend, this just sets upscaling_resize and adds info text
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@ -118,8 +120,18 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
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def run_upscalers_blend( params: List[UpscaleParams], image: Image.Image, info: str) -> Tuple[Image.Image, str]:
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blended_result: Image.Image = None
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for upscaler in params:
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res = upscale(image, upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
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info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
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upscale_args = (upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
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cache_key = CacheKey( image_hash = hash(np.array(image.getdata()).tobytes()),
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info_hash = hash(info),
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args_hash = hash(upscale_args) )
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cached_entry = cached_images.get(cache_key)
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if cached_entry is None:
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res = upscale(image, *upscale_args)
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info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
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cached_images[cache_key] = CacheEntry(image=res, info=info)
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else:
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res, info = cached_entry.image, cached_entry.info
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if blended_result is None:
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blended_result = res
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else:
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