Z-Image
Qwen3 text encoder with a flow-matching transformer using 3D RoPE positional encoding. Excellent quality at just 9 steps.
- Developer: Z-Potentials
- License: Apache 2.0
- HuggingFace: Z-Potentials/Z-Image-v1-Turbo
Variants
| Model | Steps | Size | Notes |
|---|---|---|---|
z-image-turbo:q8 | 9 | 6.6 GB | Fast, great |
z-image-turbo:q6 | 9 | 5.3 GB | Best quality/size |
z-image-turbo:q4 | 9 | 3.8 GB | Lighter |
z-image-turbo:bf16 | 9 | 12.2 GB | Full precision |
Defaults
- Resolution: 1024x1024
- Guidance: 0.0
- Steps: 9
Recommended Dimensions
| Width | Height | Aspect Ratio |
|---|---|---|
| 1024 | 1024 | 1:1 (native) |
| 1024 | 768 | 4:3 |
| 768 | 1024 | 3:4 |
Using non-recommended dimensions will trigger a warning. All values must be multiples of 16.
Example
Z-Image Turbo — 9 steps, seed 777:
bash
mold run z-image-turbo:q8 "An astronaut floating through a bioluminescent underwater cave, reflections on the helmet visor, science fiction art" --seed 777
Notes
Z-Image uses a Qwen3 text encoder (BF16 or GGUF with auto-fallback). The quantized transformer is implemented directly in mold (not upstream candle) due to GGUF tensor naming differences.