gguf-z-image
Z-Image-Turbo diffusion weights in GGUF format for stable-diffusion.cpp, mirrored byte-identical from leejet/Z-Image-Turbo-GGUF for JoyFusion's on-device (Android) inference.
| File | Quant | Size | SHA-256 |
|---|---|---|---|
z_image_turbo-Q4_0.gguf |
Q4_0 | 3,683,370,944 | 2bc57986874c84f7ec6d02d9d7070a53b0029954a0e38a6e1342eb91095572f5 |
z_image_turbo-Q8_0.gguf |
Q8_0 | 6,577,440,704 | df1c5baa86d1398c979495a6072dbcee79444fdb884a2445582ba0769c44e9a1 |
Shared components live in JoyFusionAI/gguf-components:
text encoder Qwen3-4B-Instruct-2507-{Q4_0,Q8_0}.gguf and VAE ae.safetensors (FLUX.1 16-channel VAE).
Recommended: 8 steps, CFG 1.0, Euler, --diffusion-fa.
License
Z-Image-Turbo is released by Tongyi-MAI under the Apache License 2.0 (see LICENSE.md). The GGUF conversion was done by
the stable-diffusion.cpp project; the files here are unmodified copies.
- Downloads last month
- 74
Hardware compatibility
Log In to add your hardware
4-bit
8-bit
Model tree for JoyFusionAI/gguf-z-image
Base model
Tongyi-MAI/Z-Image-Turbo