What resolution does my source photo need to be for high-quality AI results?
1 min read
Quick Answer
A source photo with 1500 to 2000 pixels on the long edge is the sweet spot. Below 500px there is too little data to read texture; above 4000px usually slows processing without improving the output. A clean, well-lit smartphone photo is enough for Nightjar to read the product and apply a Photography Style.
The "Garbage In, Garbage Out" Rule
AI is a pattern multiplier, not a repair tool. If the source is a blurry, pixelated thumbnail, the system cannot invent the leather grain or the curve of a bottle label accurately.
Minimum viable specs
- Resolution: ~1080p (roughly 2 megapixels) on the long edge.
- Focus: sharp. Motion blur cannot be recovered.
- Lighting: even and bright.
Does higher resolution help?
Diminishing returns set in past 2500px. Most image models work at a fixed internal latent size and then resize. Uploading a 50MB raw file mostly wastes bandwidth.
What matters more than pixels
Resolution is a baseline. The real lever for quality is the visual direction you give the system. In Nightjar, uploading a reference Asset to define a Photography Style (for example, Golden Hour or Luxury Studio) gives the Generation a clear photographic language: camera feel, lighting, mood, and color scheme.
- A clear reference image extracts the lighting setup and camera language.
- That setup is then applied to your product Asset.
If the final output needs to be larger than the Generation's native resolution, run the Upscale Workflow at the end of the pipeline (2K or 4K long edge), not at the start.
Consistent and on brand AI photoshoots, optimized for conversion.
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