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support alpha in solid_color

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Dion Timmer
2023-03-28 23:54:45 -04:00
parent f8b469dccf
commit 2442476b5f
1 changed files with 7 additions and 6 deletions
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custom_nodes/DT_Solid_Color.py
+7 -6
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@@ -20,8 +20,9 @@ class SolidColorImage():
"required": {
"width": ("INT", {"default": 512, "min": 64, "max": 10000, "step": 64}),
"height": ("INT", {"default": 512, "min": 64, "max": 10000, "step": 64}),
"color": ("STRING", {"default": 'rgb(255, 255, 255)'}),
"color": ("STRING", {"default": 'rgba(255, 255, 255, 255)'}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 64, "step": 1}),
"color_mode": (["RGBA", "RGB"],),
},
"optional": {
},
@@ -38,17 +39,17 @@ class SolidColorImage():
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
return img
def do_solid(self, width, height, color, batch_size):
def do_solid(self, width, height, color, batch_size, color_mode):
#create empty tensor with the same shape as images
total_images = []
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 i in range(batch_size):
image = Image.new('RGB', (width, height), color_rgb)
image = Image.new('RGBA', (width, height), color_rgba)
# 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)