unsloth / text-to-image updated 6 months ago

Z-Image-Turbo-GGUF

Name: Z-Image-Turbo-GGUF
Author: unsloth

> [!NOTE] > This is a GGUF quantized version of Z-Image-Turbo. > unsloth/Z-Image-Turbo-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision.

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Downloads 30d

52 K

Likes

240

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

Download history

daily snapshots · 10 days

52 K50 K

Jul 28Jul 31Aug 3Aug 6

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-turbo-Q2_K.gguf	Q2_K	3.6 GB	4.5 GB	✅ Runs comfortably
z-image-turbo-Q3_K_S.gguf	Q3_K_S	4.0 GB	4.8 GB	✅ Runs comfortably
z-image-turbo-Q3_K_M.gguf	Q3_K_M	4.2 GB	5.1 GB	✅ Runs comfortably
z-image-turbo-Q4_0.gguf	Q4_0	4.6 GB	5.5 GB	✅ Runs comfortably
z-image-turbo-Q4_K_S.gguf	Q4_K_S	4.7 GB	5.7 GB	✅ Runs comfortably
z-image-turbo-Q4_1.gguf	Q4_1	4.9 GB	5.8 GB	✅ Runs comfortably
z-image-turbo-Q4_K_M.gguf	Q4_K_M	5.0 GB	6.0 GB	✅ Runs comfortably
z-image-turbo-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: 2025-12-21
Base model: Z-Image-Turbo
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Z-Image-Turbo Tongyi-MAI 1.1 M

Compare with

stable-diffusion-v1-5 1.6 M stable-diffusion-xl-base-1.0 1.5 M sdxl-turbo 1.1 M Z-Image-Turbo 1.1 M dreamshaper-7 895 K Flux2-Klein-9B-True-V2 792 K

Appears in

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