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The full writeup — how it was quantized and how it actually performs — is at ai-muninn.com.
| File | Role | Size |
|---|---|---|
z_image_turbo_nvfp4.safetensors | Z-Image Turbo diffusion model — NVFP4 | 4.5 GB |
ae.safetensors | VAE (autoencoder) | 335 MB |
qwen_3_4b.safetensors | Qwen3-4B text encoder (bf16) | 8.0 GB |
qwen_3_4b_fp8_mixed.safetensors | Qwen3-4B text encoder (FP8 mixed) | 5.6 GB |
gemma_3_12B_it_fp4_mixed.safetensors | Gemma-3-12B-IT text encoder (FP4 mixed) | 9.4 GB |
Z-Image-Turbo-Fun-Controlnet-Union.safetensors | ControlNet Union | 3.1 GB |
z_image_turbo_nvfp4.safetensors → models/diffusion_models/ae.safetensors → models/vae/qwen_3_4b*.safetensors / gemma_3_12B_it_fp4_mixed.safetensors → models/text_encoders/Z-Image-Turbo-Fun-Controlnet-Union.safetensors → models/controlnet/Tongyi-MAI/Z-Image-Turbo · Apache-2.0alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union · Apache-2.0gemma_3_12B_it_fp4_mixed file is Google Gemma-3, covered by the Gemma Terms of Use, not Apache-2.0 — use that file under those terms.