Amanda's Classic Negative vs Reggie's Superia
The same photograph, developed by the camera in both recipes. Drag the divider.
Every image is rendered by the camera itself and verified from its metadata. How this works
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Amanda's Classic NegativeReggie's Superia
Same photo, two recipes. Swipe a side to change that recipe, hold it to see it on its own, or tap to inspect up close.
Portrait, photographed by Cody Blue
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11 reference scenes so far, each developed in-camera across the full recipe catalog. Contribute a photograph and every comparison made with it carries your name, or name a recipe you're missing and it joins the render queue.
The full recipe
8 settings differ, highlighted below.
| Setting | Amanda's Classic Negative | Reggie's Superia |
|---|---|---|
| Film Simulation | Classic Negative | Classic Negative |
| Dynamic Range | 200 | Standard |
| Grain | Weak | Weak |
| Grain Size | Small | Large |
| Color Chrome | Strong | Strong |
| Color Chrome Blue | Weak | Strong |
| White Balance | Auto | Auto |
| WB Shift | R0 B0 | R+1 B-3 |
| Highlights | +1 | -2 |
| Shadows | +1.5 | -1 |
| Color | +3 | +1 |
| Sharpness | +1 | -2 |
| Noise Reduction | -4 | -4 |
| Clarity | 0 | 0 |
Recipe by Amanda Roesch, published by Ritchie Roesch (Fuji X Weekly) source
View recipe page →Develop your photo in it →
designed for X-Trans IV, rendered on X-Trans V
Recipe by Reggie Ballesteros • Fuji X Weekly source
What separates these two recipes
Both recipes are built on the Classic Negative film simulation, so everything you see change in the comparison comes from the settings around it. They differ in 8 settings: Dynamic Range (200 vs Standard), Grain Size (Small vs Large), Color Chrome Blue (Weak vs Strong), WB Shift (R0 B0 vs R+1 B-3), Highlights (+1 vs -2), Shadows (+1.5 vs -1), and more.
The full settings sheet for both recipes is under the viewer above, differences highlighted. Every render is the photographer's single RAW file developed by a Fujifilm camera's own processor and verified against the camera's metadata. The pictures are the settings, nothing else.
Amanda's Classic Negative is by Amanda Roesch, published by Ritchie Roesch (Fuji X Weekly) (source). Reggie's Superia is by Reggie Ballesteros • Fuji X Weekly (source).
Photos shot with Amanda's Classic Negative →·Photos shot with Reggie's Superia →
More comparisons
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- Classic Chrome vs Classic Negative
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- Reggie's Portra vs Leica X
- Reggie's Portra vs Kodachrome 64
- Reggie's Portra vs Kodak Portra 400
- Reggie's Portra vs Fujicolor 100 Gold
- Classic Cuban Negative vs Leica X
- Classic Cuban Negative vs Kodachrome 64
- Classic Cuban Negative vs Kodak Portra 400
How this works
How this works
A photographer submits a RAW file. We connect a real Fujifilm camera over USB and have its processor develop that one file in every recipe in the catalog, using the same in-camera engine that develops your photos when you shoot. Each render's settings are verified from the camera's own metadata before it's published.
Is this really the camera, or a software simulation?
Really the camera. Every image here is a JPEG developed by a Fujifilm camera's own processor. We send the photographer's RAW file to the camera over USB with a recipe's settings, and the camera develops it exactly as if it had been shot that way. No Lightroom, no presets, no emulation.
Is it the same photo in every recipe?
Yes. Each scene is one single RAW file, developed once per recipe. Everything that changes between two renders is the recipe: same light, same moment, same exposure.
How do you know a render actually matches the recipe?
Every developed JPEG carries the camera's own record of the settings used, written into its metadata. We read that back and verify it against the recipe before a render enters the gallery.
Why is a recipe missing on some scenes?
Physics, mostly. DR400 recipes need the shot to be taken at ISO 500 or higher, and DR200 at ISO 320 or higher; below that the camera refuses. A few recipes also use settings the USB conversion can't reproduce (like toned black-and-whites); those wait rather than render wrong.
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