I thought merging two photos with AI would be a weekend project. Nope
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At a friend's gathering, someone mentioned wanting to add her late father into a family photo. I figured this would be trivial — modern image models are powerful, just send two photos and ask the AI to merge them. She said she'd tried, but the results were weird and unstable, and she didn't know how to describe what she wanted.I went home and tried it myself. With a well-written prompt and two good photos, it works. But real-world use cases aren't two good photos — it's a modern family photo plus a damaged old portrait, or two old photos from different decades. That's when things fall apart.I looked at existing tools. Most showcase merges between clean, well-lit, modern photos. Nobody was solving the hard version: mismatched eras, damaged sources, different poses, different formality levels.I thought it would be a weekend project — one system prompt and done. After 200+ test iterations I realized stable results require much more than prompt engineering. The main challenges:The AI subtly changes faces during merging. The result looks "similar" but isn't the same person. For someone trying to add a deceased loved one, that's a complete failure.Posture and scale need to match. If the group is sitting on grass and the added person is standing like a giant, it's obviously fake.Casual accessories from a reference photo break formal scenes — sunglasses on the head at a wedding, sportswear at a ceremony.Old photos have low resolution, damage, and no color. Merging, restoring, and colorizing at the same time makes everything harder.It supports headshots, half-body, and full-body reference photos. Old and damaged photos work too — with optional colorization and restoration.Still an MVP. Free to use once per day, no login required.https://animateoldphotos.org/add-loved-one-to-photoWould love to hear about edge cases that break it.
HN · launched Apr 3, 2026 · 5 upvotes (top 89%) · 0 views
Niche: ai photo editing tools · 232 launches, 12 in the last 7 days ▼ -43% · Explore this niche →
Category and tags
- Horizontal
- Content generation
- B2C
- AI-native
- Hobby / open-source project
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More like this: all 232 launches in ai photo editing tools →
Could you build this?
Partial The front-end and simple inpainting wrappers are easy to vibe code, but realistic multi-photo subject blending with consistent lighting, perspective matching, and face identity preservation requires sophisticated multi-controlnet/in-painting pipelines.
What it would actually take: Building a high-quality photo merging tool requires a pipeline combining background segmentation (SAM 2), pose estimation, face-id embedding preservation (InstantID or IP-Adapter-FaceID), and lighting harmonizers (like IC-Light) orchestrated over a GPU inference backend such as ComfyUI or a custom PyTorch service running Stable Diffusion XL/Flux.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one : 531 launches clear the similarity bar, closest 8 shown.
Attention rank: #522 of 532 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 155 days after the earliest competitor.
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- Framed for Us · ph · 2026-10-18 · 1 upvotes · similarity 0.53
- ImagesCombine · ph · 2026-11-06 · 1 upvotes · similarity 0.50
- SwapThisFace · ph · 2026-11-03 · 1 upvotes · similarity 0.49
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