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ChrisColeTech/z-image-turbo-GGUF
z-image-turbo-GGUF is a text-to-image model from ChrisColeTech. Use it when you need an image from a text prompt. The card lists the license as unknown.
6B text-to-image, distilled for a 9-step CFG-free profile. Repacked as a split GGUF layout.
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.safetensors12.1 GB · 70%
From the Hugging Face model README
6B text-to-image, distilled for a 9-step CFG-free profile. Repacked as a split GGUF layout.
What this repo is: a requantized, split-layout build of the upstream model — weights only, not a retrain. The recommended settings below are the values these weights are actually run with day to day, not copied from the upstream card.
This model does img2img as well as txt2img. The left image is the input; the right is what this model made of it.
strength has a hard threshold on this model. A sweep at 0.3 / 0.5 / 0.7 / 0.9 — same source, prompt and seed — produced no meaningful restyle below 0.9; those values add gloss and surface detail and leave the photograph a photograph. The painterly transform appears only at 0.9. Treat it as near-binary rather than a dial: 0.9 to restyle, low values only for a light finishing pass.
Values this build is run with in practice. They are read out of a live config when this card is generated, so they cannot drift from what is actually used.
| Parameter | Production value | Meaning |
|---|---|---|
width | 1024 | Output width in pixels |
height | 1024 | Output height in pixels |
steps | 9 | Denoising steps |
guidance | 0.0 | Guidance scale |
preview_every | 3 | Emit a TAESD preview every N steps |
strength | 0.9 | img2img denoise strength (1.0 = ignore the input image) |
Supported modes: txt2img, img2img
guidance=0.0 and any positive CFG fights the distillation.-fresh suffix; both are reflected in the paths below.Components ship as separate files rather than one bundle: the transformer, the text encoder(s) and the VAE each load independently, with configs and tokenizers under config/. Any loader that accepts explicit per-component paths can consume this directly — point it at the files listed below.
A generic
diffuserssnippet is deliberately omitted. This is a repacked split layout with substituted encoders, so an upstream example will not load it unmodified, and an untested snippet would be worse than none.
| File | Size | Role |
|---|---|---|
split/z-image-turbo-q6k-fresh.gguf | 4.71 GB | transformer (main weights) |
split/text_encoders/Qwen3-VL-4B-Q4_K_M.gguf | 2.32 GB | text encoder |
split/vae/ae.safetensors | 319.77 MB | VAE |
config/tokenizer/tokenizer.json | 6.71 MB | tokenizer / processor |
config/tokenizer/vocab.json | 2.65 MB | tokenizer / processor |
config/tokenizer/merges.txt | 1.59 MB | tokenizer / processor |
config/tokenizer/tokenizer_config.json | 9.50 KB | tokenizer / processor |
config/vae/config.json | 805 B | VAE |
config/text_encoder/config.json | 726 B | text encoder |
config/controlnet/config.json | 542 B | config |
config/transformer/config.json | 473 B | transformer (main weights) |
config/model_index.json | 467 B | config |
config/scheduler/scheduler_config.json | 173 B | scheduler config |
Tongyi-MAI/Z-Image-Turbo (upstream license: apache-2.0)unknown in this repo's metadata. Refer to the upstream model's license for redistribution and commercial-use terms — several of these bases are non-commercial.