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Add position and alignment options

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drozbay 2026-06-28 17:20:24 -06:00
parent e99602e5ab
commit f6daf4301d
1 changed files with 37 additions and 17 deletions
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54
comfy_extras/nodes_text_overlay.py
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@ -13,20 +13,23 @@ class TextOverlay(IO.ComfyNode):
node_id="TextOverlay",
display_name="Text Overlay",
category="image/text",
description="Overlay text along the top of an image or batch of images.",
description="Overlay text on an image or batch of images.",
search_aliases=["text", "label", "caption", "subtitle", "watermark", "title", "addlabel", "overlay"],
inputs=[
IO.Image.Input("image"),
IO.String.Input("text", multiline=True, default=""),
IO.Combo.Input("position", options=["top", "bottom"], default="top"),
IO.Combo.Input("align", options=["left", "center", "right"], default="left"),
IO.Float.Input("font_size_percent", default=5.0, min=0.5, max=50.0, step=0.5, tooltip="Font size as a percentage of the image height.", advanced=True),
#IO.Combo.Input("text_color", options=["white", "black", "red", "green", "blue", "yellow", "cyan", "magenta", "gray"], default="white"),
#IO.Combo.Input("outline_color", options=["auto", "none", "black", "white", "red", "green", "blue", "yellow"], default="auto"),
#IO.Combo.Input("text_color", options=["white", "black", "red", "green", "blue", "yellow", "cyan", "magenta", "gray"], default="white", tooltip="Color of the text.", advanced=True),
#IO.Combo.Input("outline_color", options=["auto", "none", "black", "white", "red", "green", "blue", "yellow"], default="auto", tooltip="Color of the text outline.", advanced=True),
#IO.Float.Input("background_opacity", default=0.0, min=0.0, max=1.0, step=0.05, tooltip="Opacity of the background behind the text (0 = transparent, 1 = solid).", advanced=True),
],
outputs=[IO.Image.Output()],
)
@classmethod
def execute(cls, image, text, font_size_percent=5.0, text_color="white", outline_color="auto", margin_percent=1.0,
def execute(cls, image, text, position="top", align="left", font_size_percent=5.0, text_color="white", outline_color="auto", margin_percent=1.0,
line_spacing=1.2, background_opacity=0.0, min_font_percent=2.0, outline_thickness_factor=0.04) -> IO.NodeOutput:
if text.strip() == "":
return IO.NodeOutput(image)
@ -49,16 +52,17 @@ class TextOverlay(IO.ComfyNode):
outline_color = ImageColor.getrgb(outline_color)[:3]
background_color = contrast_color if outline_color is None else outline_color
frames = [cls.render_text_on_frame(frame, text, font_size_percent, margin_percent, text_color, outline_color, background_color,
frames = [cls.render_text_on_frame(frame, text, position, align, font_size_percent, margin_percent, text_color, outline_color, background_color,
line_spacing, background_opacity, min_font_percent, outline_thickness_factor)
for frame in image]
return IO.NodeOutput(torch.stack(frames, dim=0))
@classmethod
def render_text_on_frame(cls, frame, text, font_size_percent, margin_percent, text_color, outline_color, background_color,
line_spacing=1.2, background_opacity=0.0, min_font_percent=2.0, outline_thickness_factor=0.04, min_font_px=10):
def render_text_on_frame(cls, frame, text, position="top", align="left", font_size_percent=5.0, margin_percent=1.0, text_color="white", outline_color="auto",
background_color=None, line_spacing=1.2, background_opacity=0.0, min_font_percent=2.0, outline_thickness_factor=0.04, min_font_px=10):
pil_image = PILImage.fromarray((frame.clamp(0.0, 1.0).cpu().numpy() * 255.0).astype(np.uint8), mode="RGB")
width, height = pil_image.width, pil_image.height
draw = ImageDraw.Draw(pil_image)
margin = int(round(margin_percent / 100.0 * min(width, height)))
max_width = max(1, width - 2 * margin)
@ -67,25 +71,41 @@ class TextOverlay(IO.ComfyNode):
# Font scales with resolution, then shrinks to fit the height.
size = max(1, int(round(font_size_percent / 100.0 * height)))
floor = min(size, max(min_font_px, int(round(min_font_percent / 100.0 * height))))
while True:
font = ImageFont.load_default(size=size)
lines = cls.wrap_text(text, font, max_width)
line_height = size * line_spacing
if line_height * len(lines) <= max_height or size <= floor:
stroke = max(1, int(round(size * outline_thickness_factor))) if outline_color is not None else 0
block = "\n".join(cls.wrap_text(text, font, max_width))
# convert line spacing to pixel spacing
single = draw.textbbox((0, 0), "Ay", font=font, stroke_width=stroke)
double = draw.multiline_textbbox((0, 0), "Ay\nAy", font=font, spacing=0, stroke_width=stroke)
natural_advance = (double[3] - double[1]) - (single[3] - single[1])
pixel_spacing = int(round(size * line_spacing - natural_advance))
box = draw.multiline_textbbox((0, 0), block, font=font, spacing=pixel_spacing, stroke_width=stroke)
block_height = box[3] - box[1]
if block_height <= max_height or size <= floor:
break
size = max(floor, int(size * 0.9))
if background_opacity > 0:
background_bottom = 2 * margin + line_height * len(lines)
band = block_height + 2 * margin
rect = [0, height - band, width, height] if position == "bottom" else [0, 0, width, band]
overlay = PILImage.new("RGBA", pil_image.size, (0, 0, 0, 0))
ImageDraw.Draw(overlay).rectangle([0, 0, width, background_bottom], fill=(*background_color, int(round(background_opacity * 255))))
ImageDraw.Draw(overlay).rectangle(rect, fill=(*background_color, int(round(background_opacity * 255))))
pil_image = PILImage.alpha_composite(pil_image.convert("RGBA"), overlay).convert("RGB")
draw = ImageDraw.Draw(pil_image)
draw = ImageDraw.Draw(pil_image)
stroke = max(1, int(round(size * outline_thickness_factor))) if outline_color is not None else 0
for index, line in enumerate(lines):
draw.text((margin, margin + index * line_height), line, font=font,
fill=text_color, stroke_width=stroke, stroke_fill=outline_color)
anchor_h, x = {"left": ("l", margin), "center": ("m", width / 2), "right": ("r", width - margin)}[align]
if position == "bottom":
anchor_v, y = "d", height - margin
else:
anchor_v, y = "a", margin
draw.multiline_text((x, y), block, font=font, fill=text_color, anchor=anchor_h + anchor_v,
align=align, spacing=pixel_spacing, stroke_width=stroke, stroke_fill=outline_color)
return torch.from_numpy(np.array(pil_image).astype(np.float32) / 255.0)