fix swap color mode and add color mode switch for fontext

This commit is contained in:
Dion Timmer
2023-03-29 00:03:28 -04:00
parent 2442476b5f
commit ca845bce15
2 changed files with 9 additions and 8 deletions
+7 -6
View File
@@ -25,9 +25,10 @@ class FontText():
"x": ("INT", {"default": 50, "min": 2, "max": 10000, "step": 1}),
"y": ("INT", {"default": 50, "min": 2, "max": 10000, "step": 1}),
"text": ("STRING", {"default": "Hello World"}),
"color": ("STRING", {"default": 'rgb(255, 255, 255)'}),
"color": ("STRING", {"default": 'rgba(255, 255, 255, 255)'}),
"anchor": (["Bottom Left Corner", "Center"],),
"rotate": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 360.0, "step": 0.1}),
"color_mode": (["RGB", "RGBA"],),
},
}
@@ -42,18 +43,18 @@ class FontText():
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
return img
def do_font(self, images, font_ttf, size, x, y, text, color, anchor, rotate):
def do_font(self, images, font_ttf, size, x, y, text, color, anchor, rotate, color_mode):
#create empty tensor with the same shape as images
total_images = []
center_anchor = True if anchor == 'Center' else False
if color.startswith('#'):
color_rgb = tuple(int(color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
color_rgba = tuple(int(color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
else:
color_rgb = tuple(map(int, color.strip('rgb()').split(',')))
color_rgba = tuple(map(int, color.strip('rgba()').split(',')))
for image in images:
image = self.tensor_to_pil(image)
add_text_to_image(image, font_ttf, size, x, y, text, color_rgb, center_anchor, rotate)
add_text_to_image(image, font_ttf, size, x, y, text, color_rgba, center_anchor, rotate)
@@ -61,7 +62,7 @@ class FontText():
# convert to tensor
out_image = np.array(image.convert("RGB")).astype(np.float32) / 255.0
out_image = np.array(image.convert(color_mode)).astype(np.float32) / 255.0
out_image = torch.from_numpy(out_image).unsqueeze(0)
total_images.append(out_image)
+2 -2
View File
@@ -30,7 +30,7 @@ class Swap_Color_Mode():
"required": {
"images": ("IMAGE",),},
"optional": {
"color_mode": (['default', 'luminance', 'single_channel'],),
"color_mode": (['default', 'luminance', 'single_channel', 'RGB', 'RGBA', 'lab', 'hsv', 'cmyk', 'ycbcr'],),
},
}
@@ -53,7 +53,7 @@ class Swap_Color_Mode():
correct_color_mode = COLOR_MODES[color_mode]
image = image.convert(correct_color_mode)
# convert to tensor
out_image = np.array(image.convert("RGB")).astype(np.float32) / 255.0
out_image = np.array(image).astype(np.float32) / 255.0
out_image = torch.from_numpy(out_image).unsqueeze(0)
total_images.append(out_image)