Merge branch 'main_upstream'

# Conflicts:
#	modules/advanced_parameters.py
This commit is contained in:
Manuel Schmid
2024-01-02 18:00:26 +01:00
6 changed files with 59 additions and 8 deletions
+6 -3
View File
@@ -5,7 +5,8 @@ disable_preview, disable_intermediate_results, black_out_nsfw, adm_scaler_positi
debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
refiner_swap_method, \
freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field = [None] * 34
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = [None] * 37
def set_all_advanced_parameters(*args):
@@ -16,7 +17,8 @@ def set_all_advanced_parameters(*args):
debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
refiner_swap_method, \
freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate
disable_preview, disable_intermediate_results, black_out_nsfw, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, \
scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
@@ -25,6 +27,7 @@ def set_all_advanced_parameters(*args):
debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
refiner_swap_method, \
freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field = args
debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = args
return
+18 -1
View File
@@ -43,7 +43,7 @@ def worker():
from modules.private_logger import log
from extras.expansion import safe_str
from modules.util import remove_empty_str, HWC3, resize_image, \
get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image
get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate
from modules.upscaler import perform_upscale
try:
@@ -148,6 +148,7 @@ def worker():
outpaint_selections = args.pop()
inpaint_input_image = args.pop()
inpaint_additional_prompt = args.pop()
inpaint_mask_image_upload = args.pop()
cn_tasks = {x: [] for x in flags.ip_list}
for _ in range(4):
@@ -288,6 +289,22 @@ def worker():
and isinstance(inpaint_input_image, dict):
inpaint_image = inpaint_input_image['image']
inpaint_mask = inpaint_input_image['mask'][:, :, 0]
if advanced_parameters.inpaint_mask_upload_checkbox:
if isinstance(inpaint_mask_image_upload, np.ndarray):
if inpaint_mask_image_upload.ndim == 3:
H, W, C = inpaint_image.shape
inpaint_mask_image_upload = resample_image(inpaint_mask_image_upload, width=W, height=H)
inpaint_mask_image_upload = np.mean(inpaint_mask_image_upload, axis=2)
inpaint_mask_image_upload = (inpaint_mask_image_upload > 127).astype(np.uint8) * 255
inpaint_mask = np.maximum(inpaint_mask, inpaint_mask_image_upload)
if int(advanced_parameters.inpaint_erode_or_dilate) != 0:
inpaint_mask = erode_or_dilate(inpaint_mask, advanced_parameters.inpaint_erode_or_dilate)
if advanced_parameters.invert_mask_checkbox:
inpaint_mask = 255 - inpaint_mask
inpaint_image = HWC3(inpaint_image)
if isinstance(inpaint_image, np.ndarray) and isinstance(inpaint_mask, np.ndarray) \
and (np.any(inpaint_mask > 127) or len(outpaint_selections) > 0):
+10
View File
@@ -3,6 +3,7 @@ import datetime
import random
import math
import os
import cv2
from PIL import Image
@@ -10,6 +11,15 @@ from PIL import Image
LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
def erode_or_dilate(x, k):
k = int(k)
if k > 0:
return cv2.dilate(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=k)
if k < 0:
return cv2.erode(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=-k)
return x
def resample_image(im, width, height):
im = Image.fromarray(im)
im = im.resize((int(width), int(height)), resample=LANCZOS)