Training and inference scaling
According to the model card, SANA-1.5 uses training-time and inference-time scaling, including efficient growth from 1.6B Sana-1.0 to 4.8B and depth pruning.
Open Source Model Profile · Efficient-Large-Model
SANA1.5_1.6B_1024px is a text-to-image model from Efficient-Large-Model. According to the model card, it is a 1.6B-parameter linear-diffusion model for 1024px generation.
SANA1.5_1.6B_1024px is published by Efficient-Large-Model as a text-to-image model. According to the model card, developed by NVIDIA and Sana, it is a 1.6B-parameter scalable linear-diffusion-transformer model for 1024px-based images.
According to the model card, SANA-1.5 uses training-time and inference-time scaling, including efficient growth from 1.6B Sana-1.0 to 4.8B and depth pruning.
According to the model card, the publisher lists 1.6B parameters, torch.bfloat16 precision, and 1024px-based multi-scale generation.
According to the model card, source code is available at the NVlabs Sana GitHub repository, recommended for training and inference with Flow-DPM-Solver.
According to the model card, direct use is for research including artworks and design, while factual representations of people or events are out of scope.
Source: Efficient-Large-Model/SANA1.5_1.6B_1024px
Captured: Unknown. Processed: 2026-09-07T19:35:05.034353+00:00.
🐱 Sana Model Card Model We introduce SANA-1.5 ,an efficient model with scaling of training-time and inference time techniques. SANA-1.5 delivers: efficient model growth from 1.6B Sana-1.0 model to 4.8B, achieving similar or better performance than training from scratch and saving 60% training cost; efficient model depth pruning , slimming any model size as you want; powerful VLM selection based inference scaling , smaller model+inference scaling > larger model; Top-notch GenEval & DPGBench results. Detailed results are shown in the below table. Source code is available at https://github.com/NVlabs/Sana . Model Description Developed…
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