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.
This commit is contained in:
Chris OBryan 2022-10-28 14:30:04 -05:00
parent 26d0819384
commit bde4731f1d

View File

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