Generated fifteen distinct 1024×1024 images with the selected Qwen Image 2.1 identity
LoRA v2, trigger lucianax, strength 1.0, 25 Euler/simple steps and CFG 1. The installed
adapter digest was verified before generation. No reference-image conditioning was used.
The user requested varied clothing and beach scenes in Rio de Janeiro.
All fifteen images were visually inspected for recognizable facial appearance, different clothing and coherent beach composition. Outputs include dresses, linen shirts, swimwear, a striped T-shirt, sportswear, crochet and denim. Both smiles and neutral expressions are represented. Landmarks are generative depictions, not verified geographic reconstructions.
The first image took 20.03 seconds; the remaining images took approximately 16 seconds each. Total client-observed generation time was 244.21 seconds (4 min 4 s), excluding visual review and Telegram uploads. This is still-image performance, not the Dev BF16 video rate.
Local originals, exact API requests, histories and generation manifest are retained under
WORKSTATION/rio_v2_15. The user receives fifteen photos in three Telegram albums
and a ZIP containing the original PNGs. GPU power limits remained 245 W.
Delivery confirmed: photos 12745–12759, original-PNG ZIP 12760.