Gradio 4 + WebUI 1.10

This commit is contained in:
layerdiffusion
2024-07-26 08:51:34 -07:00
parent e95333c556
commit e26abf87ec
201 changed files with 7562 additions and 4834 deletions

View File

@@ -1,12 +1,16 @@
import base64
import json
import os.path
import warnings
import logging
import numpy as np
import zlib
from PIL import Image, ImageDraw
import torch
logger = logging.getLogger(__name__)
class EmbeddingEncoder(json.JSONEncoder):
def default(self, obj):
@@ -43,7 +47,7 @@ def lcg(m=2**32, a=1664525, c=1013904223, seed=0):
def xor_block(block):
g = lcg()
randblock = np.array([next(g) for _ in range(np.product(block.shape))]).astype(np.uint8).reshape(block.shape)
randblock = np.array([next(g) for _ in range(np.prod(block.shape))]).astype(np.uint8).reshape(block.shape)
return np.bitwise_xor(block.astype(np.uint8), randblock & 0x0F)
@@ -114,7 +118,7 @@ def extract_image_data_embed(image):
outarr = crop_black(np.array(image.convert('RGB').getdata()).reshape(image.size[1], image.size[0], d).astype(np.uint8)) & 0x0F
black_cols = np.where(np.sum(outarr, axis=(0, 2)) == 0)
if black_cols[0].shape[0] < 2:
print('No Image data blocks found.')
logger.debug(f'{os.path.basename(getattr(image, "filename", "unknown image file"))}: no embedded information found.')
return None
data_block_lower = outarr[:, :black_cols[0].min(), :].astype(np.uint8)
@@ -193,11 +197,11 @@ if __name__ == '__main__':
embedded_image = insert_image_data_embed(cap_image, test_embed)
retrived_embed = extract_image_data_embed(embedded_image)
retrieved_embed = extract_image_data_embed(embedded_image)
assert str(retrived_embed) == str(test_embed)
assert str(retrieved_embed) == str(test_embed)
embedded_image2 = insert_image_data_embed(cap_image, retrived_embed)
embedded_image2 = insert_image_data_embed(cap_image, retrieved_embed)
assert embedded_image == embedded_image2