clark-labs/clark-air-sana-1.6b-1.58bit · Hugging Face
Summary
Clark Labs released Clark Air Sana 1.6B, a ternary-quantized version of the Sana 1.6B text-to-image transformer that is 8.6× smaller than FP16 while maintaining near-FP16 quality, enabling efficient deployment.
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clark-labs/clark-air-sana-1.6b-1.58bit · Hugging Face
Source: https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit
https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit#clark-air-%C2%B7-sana-16bClark Air · Sana 1.6B
A Sana 1.6B text-to-image transformer compressed to ternary (~1.85 bits/weight): 8.6× smaller than FP16, near-FP16 quality.
Samples generated by Clark Air Sana 1.6B at 1.58 bits.
https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit#footprint-measuredFootprint (measured)
ArtifactSizevs FP16What it isFP16 transformer3.21 GB1× (100%)reference**Clark Air (packed)374 MB8.6× (≈12%)**packed ternary (clark\-air\-sana\-1\.6b\-packed\.safetensors)Clark Air (unpacked)3.21 GBcompatibilitythis repo’stransformer/, dequantized bf16, drop-indiffusers
Measured~1.85 bits/weight → 8.6× smaller(374 MB packed ÷ 3.21 GB FP16).
ℹ️ The
transformer/here is the unpacked compatibility format: it loads in stockdiffuserswith no custom code, so it is thesame 3.21 GBas FP16. The actual compressed artifact is the**374 MB packedsafetensors**in this repo.
https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit#usage-drop-in-diffusersUsage (drop-indiffusers)
import torch
from diffusers import SanaPipeline, SanaTransformer2DModel
transformer = SanaTransformer2DModel.from_pretrained(
"clark-labs/clark-air-sana-1.6b-1.58bit", subfolder="transformer", torch_dtype=torch.bfloat16)
pipe = SanaPipeline.from_pretrained(
"Efficient-Large-Model/Sana_1600M_512px_diffusers", transformer=transformer, torch_dtype=torch.bfloat16)
pipe.to("cuda")
pipe("a half empty bottle of red wine", num_inference_steps=20, guidance_scale=4.5).images[0].save("out.png")
https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit#aboutAbout
The transformer weights are quantized toternarywith group-wise scales; a small high-precision tail (~5% of parameters, the conditioning and projection layers) is kept at higher precision.
- **Base:**Sana 1.6B, 512px
https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit#licenseLicense
Apache-2.0 © Clark Labs, Inc.
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