Skip to main content

Overview

The Variation Generator on the Repli5 platform takes close-up RGB images of an object (either a dataset or a single uploaded image) and transforms their appearance—such as surface color, material finish, or ambient lighting—based on a natural-language prompt.
Defects & Geometry Are Preserved: Using edge-guided conditioning, the model preserves the exact object geometry as well as existing dents, corner wear, scratches, and surface defects while applying your requested variation.

Step-by-Step Guide

1

1. Upload / Dataset — Choose Your Input

In Card 1 (Upload / Dataset), choose whether to run on a saved dataset or a single uploaded photo:
  • Dataset tab (Default): Select a dataset from your library or active project. You can select individual images on the page, Select all on page, or run across the entire dataset.
  • Upload tab: Click Upload image to upload a single close-up RGB image directly from your computer.
2

2. Variation Templates & Prompt — Describe the Change

In Card 2 (Variation):
  • Saved Templates (Template Bar): Load an existing variation template from your active project or personal templates, or save your current prompt as a reusable template for future runs.
  • Variation Prompt: Describe the visual change you want applied to the object or background.
    • Example: "Change the color of the phone to light gray"
    • Example: "Change the metal bracket finish to brushed anodized black"
    • Example: "Change the studio lighting to warm directional side-lighting"
  • Enhance Button: Click Enhance below the text box to have the AI expand a brief variation request into a rich, structured prompt.
  • Randomized Choice Groups: Use flat curly-brace choices such as change the color of the housing to {matte light gray | anodized black | brushed silver} to pick one option at random for each image in a batch.
You do not need to describe the existing scratches or dents in your prompt—the pipeline automatically locks the structural edges and surface wear from the source image.
3

3. Summary, Evaluation Rubric & Launch

In Card 3 (Summary):
  1. Verify your Input count and Variation prompt.
  2. Check the Required credits (1 credit per generated image) against your available balance.
  3. (Optional) Select an Evaluation Rubric Set (defaults to the Defect variation rubric, which scores Preserves original defect).
  4. Click Augment to enqueue the job.

Reviewing & Exporting Results

Once submitted, your job appears in the Augment History panel at the bottom of the page:
  • Quality Evaluation: Each generated image is automatically scored on whether it preserves the original defect while applying the requested variation (see Quality Evaluation & Review).
  • Inspect, Approve / Reject & Regenerate: Compare rgb_raw vs. rgb_out side-by-side, mark outputs as Approved or Rejected, or click Regenerate on any image to replace it in-place.
  • Download: Completed batch runs automatically create an output dataset in your Data Library, ready for one-click ZIP download.