lesliemore/z-image-turbo-nsfw-v2-GGUF

🤗 Hugging Face 来源text-to-imageapache-2.07.2 GBGGUF✓ 1 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo lesliemore/z-image-turbo-nsfw-v2-GGUF ./model-folder
需要做种者 →

Z-Image Turbo NSFW v2 — GGUF (Q8_0)

This is a direct GGUF conversion of tewea/z_image_turbo_bf16_nsfw (z_image_turbo_bf16_nsfw_v2.safetensors), quantized to Q8_0 to reduce VRAM usage while staying close to the original bf16 quality.

The conversion was done with city96's ComfyUI-GGUF conversion tools.

⚠️ Content notice: the base model is an NSFW finetune of Z-Image Turbo. Not for all audiences. Intended for adults only — you are responsible for complying with your local laws and the platform's terms of use.

Files

File Quant Size
z_image_nsfw_v2-Q8_0.gguf Q8_0 ~6.8 GB

Usage (ComfyUI)

  1. Install the ComfyUI-GGUF custom node.
  2. Place the .gguf file in ComfyUI/models/unet/ (or models/diffusion_models/).
  3. Load it with the Unet Loader (GGUF) node in place of the regular diffusion model loader.
  4. Use the same text encoder and VAE as the original Z-Image Turbo model.

As a Turbo-distilled model, it works with low step counts (~8 steps) and low CFG.

Credits & license

Redistributed under Apache 2.0, same as the base model. All credit for the finetune goes to the original author; this repo only provides a quantized conversion.