| File | z_image_turbo_bf16.safetensors |
| Model | Z-Image Turbo (image model, 6B) |
| Precision | 16-bit |
| Size | 12.3 GB |
| VRAM to fit | about 14.3 GB |
| Folder | ComfyUI/models/diffusion_models/ |
| Loader node | Load Diffusion Model (UNETLoader) |
| Source | Comfy-Org/z_image_turbo on Hugging Face |
Download z_image_turbo_bf16.safetensors (12.3 GB)
Where to put it
Put the file in ComfyUI/models/diffusion_models/ (portable version: ComfyUI_windows_portable/ComfyUI/models/diffusion_models/). Older guides say models/unet: that folder still works. Press R in ComfyUI or restart it, then pick the file in Load Diffusion Model (UNETLoader).
If a workflow says “Value not in list” for that node, the workflow expects a file with another name. Click the node and choose this one.
Which graphics cards it fits
| VRAM | This file | Best file for that card (RTX 40/50) | |
|---|---|---|---|
| 6 GB | Not practical | Short by 8.3 GB | z-image-turbo-Q2_K.gguf (3.6 GB) |
| 8 GB | Offload only | Short by 6.3 GB: runs with part of it in system RAM, slower | z-image-turbo-Q6_K.gguf (5.9 GB) |
| 10 GB | Offload only | Short by 4.3 GB: runs with part of it in system RAM, slower | z_image_turbo_int8_convrot.safetensors (6.2 GB) |
| 12 GB | Offload only | Short by 2.3 GB: runs with part of it in system RAM, slower | z_image_turbo_int8_convrot.safetensors (6.2 GB) |
| 16 GB | Runs well | Fits in VRAM, 1.7 GB to spare | this file |
| 20 GB | Runs well | Fits in VRAM, 5.7 GB to spare | this file |
| 24 GB | Runs well | Fits in VRAM, 9.7 GB to spare | this file |
| 32 GB | Runs well | Fits in VRAM, 17.7 GB to spare | this file |
| 48 GB | Runs well | Fits in VRAM, 33.7 GB to spare | this file |
Need = file × 1 + 1.2 GB for the picture and 0.8 GB for Windows and the browser — the same rule as the rest of the site.
Measured with this exact file
| GPU | Time | Size | Steps | Peak VRAM | Source |
|---|---|---|---|---|---|
| RTX 5060 Ti 16 GB | 11.0 s per image | 1024x1024 | 8 | 14.6 GB | measured by me, 2026-09-27 |
Time = sampling + VAE decode, after a warm-up run. Peak VRAM = memory in use on the whole card. How I measure.
What else you need
This file alone does not make a picture. With it you load:
| Role | File | Size | Folder |
|---|---|---|---|
| Model | z_image_turbo_bf16.safetensors | 12.3 GB | models/diffusion_models |
| Text encoder | qwen_3_4b_fp8_mixed.safetensors | 5.6 GB | models/text_encoders |
| VAE | ae.safetensors | 0.3 GB | models/vae |
18.3 GB in total. Smaller text-encoder versions and other options are on the Z-Image Turbo page.
Other files of Z-Image Turbo
| File | Precision | Size | VRAM to fit |
|---|---|---|---|
| z_image_turbo_bf16.safetensors | 16-bit | 12.3 GB | 14.3 GB |
| z-image-turbo-Q8_0.gguf | Q8_0 | 7.2 GB | 9.2 GB |
| z_image_turbo_int8_convrot.safetensors | INT8 | 6.2 GB | 8.2 GB |
| z-image-turbo-Q6_K.gguf | Q6_K | 5.9 GB | 7.9 GB |
| z-image-turbo-Q5_K_M.gguf | Q5_K_M | 5.6 GB | 7.6 GB |
| z-image-turbo-Q4_K_M.gguf | Q4_K_M | 5.0 GB | 7.0 GB |
| z-image-turbo-Q3_K_M.gguf | Q3_K_M | 4.2 GB | 6.2 GB |
| z-image-turbo-Q2_K.gguf | Q2_K | 3.6 GB | 5.6 GB |
Same model, different compression. 8-bit files (FP8, INT8, Q8_0) look almost the same as 16-bit; below Q5 the loss starts to show.
Free workflow with this file
- Z-Image Turbo — 16-bit — 11.0 s per 1024×1024 image
Drag the .json into ComfyUI. All free workflows →
Want the answer for your exact card? Check your GPU. Every file of every model: ComfyUI model files.
Size and source read from Hugging Face (2026-10-01).