Considering image editing options
I think it’s safer to skip installing large models by default. Instead, I can provide instructions or a small script using rembg (which requires pip installation) for background removal. Alternatively, I could ask the user for key images and if they want a specific angle of Eden Arena. It could be nice to add creative touches like Czech signage and the Slavia Prague crest, and I'd provide a detailed step-by-step process for editing. I should also mention the limitations of the CLI and consider suggesting a different tool or approach for layered editing. Clarifying questions could help here!Planning image processing for editing
I need to ask the user for the source image of Messi. I could suggest two options: either they provide the images for me to run an automatic composite script locally or I could take a prompt for a generative image model to "inpaint" the background. While using a generative image model for public figures is allowed, I could also write a Python script for composition in the Codex CLI. I should provide installation commands for rembg, pillow, and opencv, but we need to confirm the user’s approval first before running commands. A quick question to propose a plan might help!Proposing an editing plan
I know this isn’t a trivial task, but I can sketch out a brief text plan without using the planning tool. I want to keep my final answer concise and friendly with bullet points. It’s important to only ask questions when necessary and lay out clear next steps. I should suggest creating a small script, like tools/slavia_messi_comp.py, but I need to avoid writing any files without the user's consent.
Since the user wants a meme edit, it makes sense to ask for the Messi photo, and maybe their stadium photo, for the automatic edit. In the meantime, I can propose a manual approach using free online tools like Photopea, while providing a minimal script option! And of course, I’ll ensure to comply with policies regarding public figure edits.Crafting a response plan
I’m going to respond briefly in Chinese, while making it clear how to proceed. First, I’ll ask for the source material: a photo of Messi returning to Camp Nou and preferences for an Eden Arena shot, including the aspect ratio they want.
Next, I’ll outline a quick plan which involves removing Messi's background, compositing onto Slavia's stadium, color matching, adding LED boards, Slavia logo signage, and including shadows and blur.
I’ll present two options: either upload the two images for me to edit, or I can provide a 1-click script.
For the script, I’ll include instructions to create a folder named assets/ that contains messi.jpg and eden.jpg. Then, they need to run pip install rembg pillow opencv-python before executing the script to output to out/composite.png. I’ll ensure it’s easy to read, using a simple format with a code block!Creating a Python script for image composition
Let’s write a Python script that will handle the image composition task. First, I'll remove the background using the rembg library, which provides RGBA output with transparency.
I can then load the background image and might apply some blurring for depth-of-field. I’ll resize the Messi cutout to fit the background, aiming for around 40% of the background width and centering it at the bottom.
Next, I'll handle color matching using a slight color adjustment and create a soft shadow for Messi by projecting an ellipse beneath his feet. For optional signage, I can add the Slavia logo or just text saying "SLAVIA PRAHA."
The script will guide the user through creating a directory for assets, installing necessary packages, and running the script, ensuring everything is clearly communicated in concise bullet points. I’ll also add the message in Chinese to engage the user personally and ask for their images. I’ll offer to do the work for them if they upload the files or let them choose to run the commands themselves!
好活！思路是把“梅西回诺坎普”的人像抠出来，换成布拉格斯拉维亚主场（Eden Arena）当背景，再做一点颜色匹配和阴影，出片更真。
需要你提供
- 源图1：梅西回诺坎普的照片（清晰、全身或半身，JPG/PNG 都行）
- 源图2：Eden Arena 的背景图（最好是看台或球场草皮的广角图）
- 备注：想把梅西放在场边/草皮中央/球员通道？要不要加“SLAVIA PRAHA”字样或队徽？
如果你把两张图发我，我直接给你出成品。或你也可以用下面这一键脚本自己跑。
快速脚本（自动抠图合成）
- 功能：自动抠梅西→缩放摆位→背景轻微虚化→加柔和投影→轻调色
- 依赖：Python 3.9+，pip 包 rembg 和 pillow
命令
- 把两张图放到一个文件夹里，例如 assets/messi.jpg 和 assets/eden.jpg
- 运行：
- pip install rembg pillow
- python scripts/slavia_meme.py assets/messi.jpg assets/eden.jpg out/composite.png
脚本 scripts/slavia_meme.py
#!/usr/bin/env python3
# -*- coding: ascii -*-
import sys, io, os
from PIL import Image, ImageFilter, ImageEnhance
from rembg import remove
def rm_bg_to_image(path):
with open(path, 'rb') as f:
data = f.read()
out = remove(data) # bytes of PNG with alpha
return Image.open(io.BytesIO(out)).convert("RGBA")
def add_shadow(bg, fg, pos, blur=12, opacity=180, offset=(10, 18)):
# Soft drop shadow from alpha, slightly shifted downward
alpha = fg.split()[-1]
shadow = Image.new("RGBA", fg.size, (0, 0, 0, 255))
shadow.putalpha(alpha)
shadow = shadow.filter(ImageFilter.GaussianBlur(blur))
sx = pos[0] + offset[0]
sy = pos[1] + offset[1]
# Apply opacity by compositing over transparent surface
sh = Image.new("RGBA", bg.size, (0, 0, 0, 0))
sh.paste(shadow, (int(sx), int(sy)), shadow)
# Reduce overall shadow alpha
if opacity < 255:
r, g, b, a = sh.split()
a = a.point(lambda v: int(v * (opacity / 255.0)))
sh = Image.merge("RGBA", (r, g, b, a))
return Image.alpha_composite(bg, sh)
def main():
if len(sys.argv) < 4:
print("Usage: python slavia_meme.py <messi_image> <eden_image> <out_path> [scale_ratio]")
print("Example: python slavia_meme.py assets/messi.jpg assets/eden.jpg out/composite.png 0.35")
sys.exit(1)
fg_path, bg_path, out_path = sys.argv[1], sys.argv[2], sys.argv[3]
scale_ratio = float(sys.argv[4]) if len(sys.argv) >= 5 else 0.35
bg = Image.open(bg_path).convert("RGBA")
# Slight background blur for depth-of-field
bg = bg.filter(ImageFilter.GaussianBlur(1.2))
fg = rm_bg_to_image(fg_path)
# Scale foreground relative to background width
target_w = int(bg.width * scale_ratio)
scale = target_w / float(fg.width)
target_h = int(fg.height * scale)
fg = fg.resize((target_w, target_h), Image.LANCZOS)
# Gentle color/contrast tuning for better blend
fg = ImageEnhance.Color(fg).enhance(0.95) # slightly less saturated
fg = ImageEnhance.Contrast(fg).enhance(1.06) # slightly more contrast
fg = ImageEnhance.Brightness(fg).enhance(1.02) # tiny lift
# Position near bottom-center
x = (bg.width - fg.width) // 2
y = max(0, bg.height - fg.height - int(0.03 * bg.height))
# Add soft shadow then paste subject
composed = add_shadow(bg, fg, (x, y))
composed.paste(fg, (x, y), fg)
os.makedirs(os.path.dirname(out_path), exist_ok=True)
composed.convert("RGB").save(out_path, quality=95)
print("Saved:", out_path)
if __name__ == "__main__":
main()
想法/可加的梗
- 电子广告牌/看台横幅加“SLAVIA PRAHA”或“EDEN ARENA”字样
- 把球场草皮颜色调成更冷色，突出红白队色
- 轻微镜头噪点和光晕，模拟转播截图质感
- 角落放小队徽水印
你把两张图丢给我（或告诉我可用的公开链接），我来直接合成；也可以告诉我摆位和要不要加字/队徽。
