formatting

modules/textual_inversion/image_embedding.py

@@ -2,111 +2,122 @@ import base64
 import json
 import numpy as np
 import zlib
-from PIL import Image,PngImagePlugin,ImageDraw,ImageFont
+from PIL import Image, PngImagePlugin, ImageDraw, ImageFont
 from fonts.ttf import Roboto
 import torch
 
+
 class EmbeddingEncoder(json.JSONEncoder):
     def default(self, obj):
         if isinstance(obj, torch.Tensor):
-            return {'TORCHTENSOR':obj.cpu().detach().numpy().tolist()}
+            return {'TORCHTENSOR': obj.cpu().detach().numpy().tolist()}
         return json.JSONEncoder.default(self, obj)
 
+
 class EmbeddingDecoder(json.JSONDecoder):
     def __init__(self, *args, **kwargs):
         json.JSONDecoder.__init__(self, object_hook=self.object_hook, *args, **kwargs)
+
     def object_hook(self, d):
         if 'TORCHTENSOR' in d:
             return torch.from_numpy(np.array(d['TORCHTENSOR']))
         return d
 
+
 def embedding_to_b64(data):
-    d = json.dumps(data,cls=EmbeddingEncoder)
+    d = json.dumps(data, cls=EmbeddingEncoder)
     return base64.b64encode(d.encode())
 
+
 def embedding_from_b64(data):
     d = base64.b64decode(data)
-    return json.loads(d,cls=EmbeddingDecoder)
+    return json.loads(d, cls=EmbeddingDecoder)
+
 
 def lcg(m=2**32, a=1664525, c=1013904223, seed=0):
     while True:
         seed = (a * seed + c) % m
-        yield seed%255
+        yield seed % 255
+
 
 def xor_block(block):
     g = lcg()
     randblock = np.array([next(g) for _ in range(np.product(block.shape))]).astype(np.uint8).reshape(block.shape)
-    return np.bitwise_xor(block.astype(np.uint8),randblock & 0x0F) 
+    return np.bitwise_xor(block.astype(np.uint8), randblock & 0x0F)
+
 
-def style_block(block,sequence):
-    im = Image.new('RGB',(block.shape[1],block.shape[0]))
+def style_block(block, sequence):
+    im = Image.new('RGB', (block.shape[1], block.shape[0]))
     draw = ImageDraw.Draw(im)
-    i=0
-    for x in range(-6,im.size[0],8):
-        for yi,y in enumerate(range(-6,im.size[1],8)):
-            offset=0
-            if yi%2==0:
-                offset=4
-            shade = sequence[i%len(sequence)]
-            i+=1
-            draw.ellipse((x+offset, y, x+6+offset, y+6), fill =(shade,shade,shade) )
+    i = 0
+    for x in range(-6, im.size[0], 8):
+        for yi, y in enumerate(range(-6, im.size[1], 8)):
+            offset = 0
+            if yi % 2 == 0:
+                offset = 4
+            shade = sequence[i % len(sequence)]
+            i += 1
+            draw.ellipse((x+offset, y, x+6+offset, y+6), fill=(shade, shade, shade))
 
     fg = np.array(im).astype(np.uint8) & 0xF0
 
     return block ^ fg
 
-def insert_image_data_embed(image,data):
+
+def insert_image_data_embed(image, data):
     d = 3
-    data_compressed = zlib.compress( json.dumps(data,cls=EmbeddingEncoder).encode(),level=9)
-    data_np_ = np.frombuffer(data_compressed,np.uint8).copy()
+    data_compressed = zlib.compress(json.dumps(data, cls=EmbeddingEncoder).encode(), level=9)
+    data_np_ = np.frombuffer(data_compressed, np.uint8).copy()
     data_np_high = data_np_ >> 4
     data_np_low = data_np_ & 0x0F
 
     h = image.size[1]
-    next_size = data_np_low.shape[0] + (h-(data_np_low.shape[0]%h))
-    next_size = next_size + ((h*d)-(next_size%(h*d)))
+    next_size = data_np_low.shape[0] + (h-(data_np_low.shape[0] % h))
+    next_size = next_size + ((h*d)-(next_size % (h*d)))
 
     data_np_low.resize(next_size)
-    data_np_low = data_np_low.reshape((h,-1,d))
+    data_np_low = data_np_low.reshape((h, -1, d))
 
     data_np_high.resize(next_size)
-    data_np_high = data_np_high.reshape((h,-1,d))
+    data_np_high = data_np_high.reshape((h, -1, d))
 
     edge_style = list(data['string_to_param'].values())[0].cpu().detach().numpy().tolist()[0][:1024]
     edge_style = (np.abs(edge_style)/np.max(np.abs(edge_style))*255).astype(np.uint8)
 
-    data_np_low   = style_block(data_np_low,sequence=edge_style)
+    data_np_low = style_block(data_np_low, sequence=edge_style)
     data_np_low = xor_block(data_np_low)
-    data_np_high  = style_block(data_np_high,sequence=edge_style[::-1])
+    data_np_high = style_block(data_np_high, sequence=edge_style[::-1])
     data_np_high = xor_block(data_np_high)
 
-    im_low  = Image.fromarray(data_np_low,mode='RGB')
-    im_high = Image.fromarray(data_np_high,mode='RGB')
+    im_low = Image.fromarray(data_np_low, mode='RGB')
+    im_high = Image.fromarray(data_np_high, mode='RGB')
 
-    background = Image.new('RGB',(image.size[0]+im_low.size[0]+im_high.size[0]+2,image.size[1]),(0,0,0))
-    background.paste(im_low,(0,0))
-    background.paste(image,(im_low.size[0]+1,0))
-    background.paste(im_high,(im_low.size[0]+1+image.size[0]+1,0))
+    background = Image.new('RGB', (image.size[0]+im_low.size[0]+im_high.size[0]+2, image.size[1]), (0, 0, 0))
+    background.paste(im_low, (0, 0))
+    background.paste(image, (im_low.size[0]+1, 0))
+    background.paste(im_high, (im_low.size[0]+1+image.size[0]+1, 0))
 
     return background
 
-def crop_black(img,tol=0):
-    mask = (img>tol).all(2)
-    mask0,mask1 = mask.any(0),mask.any(1)
-    col_start,col_end = mask0.argmax(),mask.shape[1]-mask0[::-1].argmax()
-    row_start,row_end = mask1.argmax(),mask.shape[0]-mask1[::-1].argmax()
-    return img[row_start:row_end,col_start:col_end]
+
+def crop_black(img, tol=0):
+    mask = (img > tol).all(2)
+    mask0, mask1 = mask.any(0), mask.any(1)
+    col_start, col_end = mask0.argmax(), mask.shape[1]-mask0[::-1].argmax()
+    row_start, row_end = mask1.argmax(), mask.shape[0]-mask1[::-1].argmax()
+    return img[row_start:row_end, col_start:col_end]
+
 
 def extract_image_data_embed(image):
-    d=3
-    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)
+    d = 3
+    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.')
         return None
 
-    data_block_lower = outarr[:,:black_cols[0].min(),:].astype(np.uint8)
-    data_block_upper = outarr[:,black_cols[0].max()+1:,:].astype(np.uint8)
+    data_block_lower = outarr[:, :black_cols[0].min(), :].astype(np.uint8)
+    data_block_upper = outarr[:, black_cols[0].max()+1:, :].astype(np.uint8)
 
     data_block_lower = xor_block(data_block_lower)
     data_block_upper = xor_block(data_block_upper)
@@ -115,9 +126,10 @@ def extract_image_data_embed(image):
     data_block = data_block.flatten().tobytes()
 
     data = zlib.decompress(data_block)
-    return json.loads(data,cls=EmbeddingDecoder)
+    return json.loads(data, cls=EmbeddingDecoder)
 
-def caption_image_overlay(srcimage,title,footerLeft,footerMid,footerRight,textfont=None):
+
+def caption_image_overlay(srcimage, title, footerLeft, footerMid, footerRight, textfont=None):
     from math import cos
 
     image = srcimage.copy()
@@ -130,11 +142,11 @@ def caption_image_overlay(srcimage,title,footerLeft,footerMid,footerRight,textfo
             textfont = Roboto
 
     factor = 1.5
-    gradient = Image.new('RGBA', (1,image.size[1]), color=(0,0,0,0))
+    gradient = Image.new('RGBA', (1, image.size[1]), color=(0, 0, 0, 0))
     for y in range(image.size[1]):
         mag = 1-cos(y/image.size[1]*factor)
-        mag = max(mag,1-cos((image.size[1]-y)/image.size[1]*factor*1.1))
-        gradient.putpixel((0, y), (0,0,0,int(mag*255)))
+        mag = max(mag, 1-cos((image.size[1]-y)/image.size[1]*factor*1.1))
+        gradient.putpixel((0, y), (0, 0, 0, int(mag*255)))
     image = Image.alpha_composite(image.convert('RGBA'), gradient.resize(image.size))
 
     draw = ImageDraw.Draw(image)
@@ -142,41 +154,41 @@ def caption_image_overlay(srcimage,title,footerLeft,footerMid,footerRight,textfo
     font = ImageFont.truetype(textfont, fontsize)
     padding = 10
 
-    _,_,w, h = draw.textbbox((0,0),title,font=font)
-    fontsize =  min( int(fontsize * (((image.size[0]*0.75)-(padding*4))/w) ), 72)
+    _, _, w, h = draw.textbbox((0, 0), title, font=font)
+    fontsize = min(int(fontsize * (((image.size[0]*0.75)-(padding*4))/w)), 72)
     font = ImageFont.truetype(textfont, fontsize)
-    _,_,w,h = draw.textbbox((0,0),title,font=font)
-    draw.text((padding,padding), title, anchor='lt', font=font, fill=(255,255,255,230))
+    _, _, w, h = draw.textbbox((0, 0), title, font=font)
+    draw.text((padding, padding), title, anchor='lt', font=font, fill=(255, 255, 255, 230))
 
-    _,_,w, h = draw.textbbox((0,0),footerLeft,font=font)
-    fontsize_left =  min( int(fontsize * (((image.size[0]/3)-(padding))/w) ), 72)
-    _,_,w, h = draw.textbbox((0,0),footerMid,font=font)
-    fontsize_mid =  min( int(fontsize * (((image.size[0]/3)-(padding))/w) ), 72)
-    _,_,w, h = draw.textbbox((0,0),footerRight,font=font)
-    fontsize_right =  min( int(fontsize * (((image.size[0]/3)-(padding))/w) ), 72)
+    _, _, w, h = draw.textbbox((0, 0), footerLeft, font=font)
+    fontsize_left = min(int(fontsize * (((image.size[0]/3)-(padding))/w)), 72)
+    _, _, w, h = draw.textbbox((0, 0), footerMid, font=font)
+    fontsize_mid = min(int(fontsize * (((image.size[0]/3)-(padding))/w)), 72)
+    _, _, w, h = draw.textbbox((0, 0), footerRight, font=font)
+    fontsize_right = min(int(fontsize * (((image.size[0]/3)-(padding))/w)), 72)
 
-    font = ImageFont.truetype(textfont, min(fontsize_left,fontsize_mid,fontsize_right))
+    font = ImageFont.truetype(textfont, min(fontsize_left, fontsize_mid, fontsize_right))
 
-    draw.text((padding,image.size[1]-padding),               footerLeft, anchor='ls', font=font, fill=(255,255,255,230))
-    draw.text((image.size[0]/2,image.size[1]-padding),       footerMid, anchor='ms', font=font, fill=(255,255,255,230))
-    draw.text((image.size[0]-padding,image.size[1]-padding), footerRight, anchor='rs', font=font, fill=(255,255,255,230))
+    draw.text((padding, image.size[1]-padding),               footerLeft, anchor='ls', font=font, fill=(255, 255, 255, 230))
+    draw.text((image.size[0]/2, image.size[1]-padding),       footerMid, anchor='ms', font=font, fill=(255, 255, 255, 230))
+    draw.text((image.size[0]-padding, image.size[1]-padding), footerRight, anchor='rs', font=font, fill=(255, 255, 255, 230))
 
     return image
 
+
 if __name__ == '__main__':
 
     testEmbed = Image.open('test_embedding.png')
-    
     data = extract_image_data_embed(testEmbed)
     assert data is not None
 
     data = embedding_from_b64(testEmbed.text['sd-ti-embedding'])
     assert data is not None
 
-    image = Image.new('RGBA',(512,512),(255,255,200,255))
+    image = Image.new('RGBA', (512, 512), (255, 255, 200, 255))
     cap_image = caption_image_overlay(image, 'title', 'footerLeft', 'footerMid', 'footerRight')
 
-    test_embed = {'string_to_param':{'*':torch.from_numpy(np.random.random((2, 4096)))}}
+    test_embed = {'string_to_param': {'*': torch.from_numpy(np.random.random((2, 4096)))}}
 
     embedded_image = insert_image_data_embed(cap_image, test_embed)