Sana_1600M_1024px

Model overview

Sana_1600M_1024px is published by Efficient-Large-Model as a text-to-image model. According to the model card, Sana is a Linear-Diffusion-Transformer framework developed by NVIDIA, and this checkpoint carries a 1,648M-parameter claim for 1024px-based generation. The captured record lists an Apache-2.0 license and the sana library.

Recorded capabilities

Use cases in the source record

• Text-to-image generation at the documented 1024px operating point, with framework-level support claimed up to 4096x4096.
• Research uses the card scopes to artworks, design, and other artistic processes, excluding factual representations of people or events.

Limitations and unknowns

• No parameter count was extracted from structured metadata; the 1,648M figure is a publisher model-card claim.
• No evaluation results were extracted from this record.
• The card says the model was not trained for factual representations of people or events, so such generation is out of scope.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: Efficient-Large-Model/Sana_1600M_1024px

Captured: Unknown. Processed: 2026-09-07T19:34:30.598713+00:00.

🐱 Sana Model Card Model We introduce Sana , a text-to-image framework that can efficiently generate images up to 4096 × 4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on laptop GPU. Source code is available at https://github.com/NVlabs/Sana . Model Description Developed by: NVIDIA, Sana Model type: Linear-Diffusion-Transformer-based text-to-image generative model Model size: 1648M parameters Model resolution: This model is developed to generate 1024px based images with multi-scale heigh and width. License: Apache License 2.0 . Additio…