Sana

NVIDIA's powerful text-to-image generator. Create stunning images up to 4096×4096 pixels, free and fast on devices with a 16GB GPU or make 1024×1024 image in less than a second using a laptop GPU. ComfyUI integration.

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Overview

Sana is a free text-to-image generator from NVIDIA's research team that’s fast, efficient, and easy to use. It creates high-resolution images up to 4096×4096 pixels using text prompts and works on devices with a 16GB GPU.

With Sana, you can produce a 1024×1024 image in less than a second using a laptop GPU. The model’s standout features include a deep compression autoencoder, linear attention mechanisms, and a decoder-only text encoder. These innovations ensure high-quality results without slowing down performance.

Here’s how it works:

Text-to-Image Creation: Turn text into detailed, high-resolution visuals.
High-Resolution Output: Generate images up to 4096×4096 pixels.
Speed and Efficiency: Create 1024×1024 images in under a second on a 16GB GPU.
Clear Text in Images: Generates crisp text, including styles like neon signs and banners.
Logo Design: Produces logos comparable to specialized AI tools.

License Scope
The training code got an Apache 2.0 update, but the model itself is still under NSCL v2-custom, which follows NVIDIA’s strict rules.

Key Restrictions

Non-Commercial Use Only: You can only use it for research or evaluation with NVIDIA GPUs. NVIDIA keeps all commercial rights.
Mandatory NSFW Filtering: Inputs and outputs must block anything explicit, harmful, or offensive.
Liability for Violations: If your filtering fails and there’s a legal problem, you’re on the hook.

Termination Clause
If you violate the license, you lose all your rights to use the model.

Model has been censored quite a bit since its first release and now won't generate remotely NSFW outputs for prompts like 'sexy woman'.

NVIDIA made Sana to be lightweight yet quite powerful. Despite its smaller size, it competes with larger diffusion models and delivers results faster, making it great for creators, developers, and enthusiasts.

ComfyUI nodes for Sana are now available.

Links

Text-to-Image

Educators and Trainers Creative Professionals Content Creators Nonprofit and Advocacy Creators Entertainment and Performance Artists

This tool is free to use and is offered under Proprietary License.

The hype around SANA 4K, a model by NVIDIA Labs, focuses on its ability to create high-res images without needing tons of VRAM. Its smart optimizations make it stand out.

Performance

Generates 16MP (4096x4096) images using less than 8GB VRAM.
4MP (2048x2048) images run with under 6GB VRAM.
1MP (1024x1024) images need less than 4GB VRAM.

Speed

On an RTX 4090, it creates a 4K image in 40–50 seconds.
An RTX 3060 takes about 200 seconds for the same task.

Optimizations
SANA 4K uses VAE Tiling, Slicing, and CPU Offload to make the most of your hardware. It’s officially supported by the Diffusers Pipeline for easier use.

Community Reactions
People love its low VRAM demands and speed. But there’s criticism about its limited photorealism and reliance on a censored dataset. Fine-tuning options like LoRAs could improve results, but adoption is still growing.

Limitations

Licensed for non-commercial use only with mandatory NSFW filtering.
Mixed reviews on its 16MP output—some think it looks more like an upscaled image.

Use Cases
It’s better for anime art than photorealistic stuff. It’s also good for abstract or experimental projects.

SANA 4K offers fast and accessible image generation, though licensing and quality concerns might hold it back for some users.

Source: [ Reddit ]

Prompt:

A young woman sitting at a rustic wooden table in a cozy, softly lit café. Her head rests on her hand, elbow propped on the table, her expression distant and bored. Strands of her wavy chestnut hair frame her face, catching the golden glow of the late afternoon sun streaming through a large window beside her. The table is scattered with a cup of steaming coffee, a half-read book, and a notebook with scribbled notes. Behind her, the blurred bustle of the café contrasts sharply with her stillness, creating a sense of detachment. Cinematic framing focuses on her from a slight angle, emphasizing the slant of her gaze and the wistfulness in her eyes. The warm ambiance is accented by bokeh light effects, with muted tones of beige, cream, and soft green dominating the background, adding a dreamy, introspective mood.