unsloth / text-to-image updated 7 months ago

Z-Image-GGUF

Name: Z-Image-GGUF
Author: unsloth

This is a GGUF quantized version of Z-Image. unsloth/Z-Image-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision. - Uses tooling from ComfyUI-GGUF by city96.

Params

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Context

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Downloads 30d

66 K

Likes

197

Commercial use: allowed apache-2.0 Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 32 days

▲ 45 K in the last 30 days (216.2%)

66 K18 K

Aug 21Aug 31Sep 11Sep 21

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
z-image-Q2_K.gguf	Q2_K	4.0 GB	4.9 GB	✅ Runs comfortably
z-image-Q3_K_S.gguf	Q3_K_S	4.4 GB	5.3 GB	✅ Runs comfortably
z-image-Q3_K_M.gguf	Q3_K_M	4.6 GB	5.5 GB	✅ Runs comfortably
z-image-Q4_0.gguf	Q4_0	4.6 GB	5.5 GB	✅ Runs comfortably
z-image-Q3_K_L.gguf	Q3_K_L	4.6 GB	5.6 GB	✅ Runs comfortably
z-image-Q4_1.gguf	Q4_1	4.9 GB	5.8 GB	✅ Runs comfortably
z-image-Q4_K_M.gguf	Q4_K_M	5.1 GB	6.1 GB	✅ Runs comfortably
z-image-BF16.gguf	GGUF	12.3 GB	14.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence: apache-2.0
First seen on the Hub: 2026-01-27
Base model: Z-Image
Training datasets: undisclosed
Added to our catalog: 2026-08-21

Family

Base model and the most-downloaded derivatives in the catalog.

Base Z-Image Tongyi-MAI 61 K

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Appears in

Commercial-use image models