BrickGPTBrickGPT works best when the source image already has a clear silhouette, a readable front view, and enough contrast for the system to infer a sequence. This guide shows what to ask for before you upload.
Check silhouette, camera angle, lighting, background, and whether the finished model still reads clearly as a small thumbnail.
BrickGPT works downstream from the uploaded image, so cleaner model identity and fewer distractions usually lead to cleaner boards and steadier videos.
Prompt patterns that produce cleaner silhouettes, clearer model identity, and more buildable-looking results.
The best prompt is not the most poetic one. It is the one that produces a finished model image with clear structure. BrickGPT is downstream from that image, so shape readability matters more than decorative adjectives.
If the source image already looks like a polished brick render with visible layers, wheel arches, cockpit edges, windows, or body panels, BrickGPT has a much easier job turning the image into a believable board and assembly sequence.
For cars, focus on body shape, wheel placement, lighting, and a clean studio background. The goal is a compact silhouette with obvious front and side boundaries.
For mechs, ask for a balanced stance, separated limbs, and clean block structure instead of smoke, sparks, or cinematic clutter.
For architecture, ask for one main facade, readable roofline, and even lighting. Tiny street detail is less useful than a clear building form.
Avoid dramatic motion blur, hands holding the model, cluttered desks, or environments where the model blends into the background. These make the build sequence harder to infer.
Avoid images where large parts disappear into shadows. BrickGPT can present steps more clearly when the original image already exposes the major construction zones.
The blog guidance points back to a visible result: source image, steps board, and assembly video produced from the same BrickGPT workflow.
Read the guide here, then continue into the focused page for instructions, steps, photos, or assembly video.
Use BrickGPT to turn one finished model image into a build-steps board and a final front-view assembly video without manual step design.
Open workflow pageTurn one clear finished brick model photo into LEGO-style instructions and a short front-view assembly video with BrickGPT.
Open workflow pageUse BrickGPT as an AI brick assembly video maker: upload one finished model photo, then get a visual steps board and a short front-view assembly video.
Open workflow pageThese answers link the article topic back to BrickGPT's actual product workflow: one image in, one board out, and one final assembly clip out.
The current workflow is intentionally simple: upload a finished model image, let BrickGPT create a visual build board, then render the same model into a share-ready assembly motion. The board is designed to show sequence and structure, not just a decorative collage.
Upload one clear image of a finished brick model. Product renders, box-style model photos, or clean front-view model images work best because the system needs enough visual detail to infer the build shape and output useful steps.
The current studio supports JPG, PNG, and WebP source uploads. The product scope is deliberately narrow: one finished model image in, one steps board out, and one final front-view assembly video out.
The content explains the setup. The value appears when the uploaded image turns into a board and a final assembly clip.