A publishing workflow can upload the correct file format and still communicate the wrong thing. A room preview and a complete artwork might both be PNGs, both belong to the same collection folder, and both contain the same image. They make different claims when placed in an article.
That distinction matters at Whispart, where selected GAN creations become physical wall art and framed artworks. An artwork view lets a reader inspect the image. A digital room visualization lets them consider a possible presentation. If an automated publisher silently substitutes the second for the first, a useful preview can become a misleading stand-in for the work.
Start with the role, then resolve the file
One of our supplied artwork folders contains original-upscaled.png and scene-floating-wood.png. The names suggest different uses, but names alone are not evidence of origin. For this example, both files were visually inspected: one shows the complete artwork; the other shows it framed in a room. The supplied scene is treated as a digital visualization.
A small explicit manifest makes that decision available to a publishing script. The selector below requires the intended role instead of choosing whichever file happens to sort first. Set base_dir to the artwork folder before running it.
from pathlib import Path
assets = {
"artwork": {"path": "original-upscaled.png",
"role": "gan_original"},
"room": {"path": "scene-floating-wood.png",
"role": "digital_visualization"},
}
def select_asset(key, required_role, base_dir):
asset = assets[key]
if asset["role"] != required_role:
raise ValueError("Asset role does not match placement")
path = Path(base_dir) / asset["path"]
if not path.is_file():
raise FileNotFoundError(path)
return path
artwork_path = select_asset("artwork", "gan_original", base_dir)
# Raises before file lookup: the room must not become the artwork.
# select_asset("room", "gan_original", base_dir)
This example was exercised against the local folder: the artwork selection resolved to an existing file, and requesting the room image as a GAN original raised the expected error. It is a minimal selector, not a claim that the whole publishing workflow runs unattended.
A failed match should ask for a decision
Do not catch that error and fall back to the first PNG. The failure is useful information: either the requested placement is wrong, the manifest is wrong, or the requested asset is missing. Check the file and correct the relevant record. A fallback would erase exactly the distinction the manifest was introduced to preserve.
A hash can establish that a later run has the same bytes you reviewed. It cannot establish that a room was physically built or that an image came straight from a model. Likewise, original-upscaled identifies a supplied artwork file here; it does not prove raw model-output resolution. Keep those claims separate from file identity.
Carry the distinction into the published page
The publication record needs the selected path, role and caption. For a room study, a useful caption is: Digital room visualization; not a photograph of a finished object or installation. The same label should survive the editor and appear beside the image. Hiding it in a local JSON file does not help the reader.
Before marking a post complete, inspect the actual public page. Is the complete artwork present where the text discusses its details? Is the room study identified where it appears? Did uploading or rearranging modules reverse their order? A technically successful upload answers none of those questions by itself.
Why the reader benefits
For someone considering art for a wall, these two views answer different questions: what am I looking at, and how might I imagine it in a space? Keeping their roles explicit lets the presentation support that decision without presenting an illustration as physical evidence.
The distinction is part of how we communicate Whispart's GAN-based wall artworks. If you would like to see the creative context behind the file examples, explore Whispart's artworks and studio approach. The same principle applies to other product workflows: asset selection should preserve the meaning of a view, as well as its pixels.
Written with AI assistance and checked against the supplied files. The code is a small standalone example, with the two selector outcomes described above tested locally.
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