Report #46

Description

Issue description The Apparel Studio generation pipeline produces results that are visually poor or not aligned with the provided inputs, even though the workflow steps complete successfully. In the shown case: The model photo and apparel item are uploaded correctly. The apparel item preview clearly shows a specific sweater style and color. However, the generated image: Appears low quality or stylistically inconsistent. Does not clearly reproduce the exact apparel design. Looks generic and detached from the uploaded garment reference. Sometimes generates outputs that are not logically consistent with the provided apparel item. This indicates a mismatch between input conditioning and generation output, leading to unreliable results. Expected behavior The generated image should closely follow: The uploaded model identity. The exact apparel item characteristics (color, shape, texture, category). The system should produce visually high-quality fashion photography outputs consistent with the studio’s intended purpose. The clothing item shown in the result should clearly match the uploaded garment reference. The result should look like a professional fashion shoot, not a generic AI image. Acceptance criteria Generated images visibly match the uploaded apparel item in: Clothing type Color General structure/design The model identity is preserved from the uploaded model photo. The generated image does not introduce unrelated clothing styles or random garments. The final output quality is consistent with fashion photography standards. Multiple generations with the same inputs produce consistent and relevant outputs, not random or unrelated results. The system reliably respects the apparel reference as a conditioning input, not merely as loose inspiration.