n-Arno/NewMechaZitMerge

🤗 Hugging Face 来源apache-2.01.2B 参数2.3 GBsafetensors✓ 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 n-Arno/NewMechaZitMerge ./model-folder
需要做种者 →

This is a quantized to 4bit, converted to Apple Silicon MLX, version of Z-Image-Turbo for use with this tool, including my New Mecha LoRA.

The script used to convert and merge LoRA is included. It relies on the previously mentionned tool to work.

(.venv) [user@MacM1 MLX_z-image] $ python convert_comfy.py --src_model models/z_image_turbo_bf16.safetensors --dst_model alpha.safetensors --lora_model loras/new_mecha_zit.safetensors --lora_scale 0.6
Starting conversion!
Loading models/z_image_turbo_bf16.safetensors file...
Reverting ComfyUI format...
100%|█████████████████████████████████████████████| 453/453 [00:00<00:00, 533114.40it/s]
Merging LoRA loras/new_mecha_zit.safetensors at scale 0.6...
100%|█████████████████████████████████████████████| 481/481 [01:21<00:00,  5.91it/s]
Merged 240 weight keys
Converting to MLX...
100%|█████████████████████████████████████████████| 521/521 [01:52<00:00,  4.62it/s]
Loading converted weights...
Quantizing (bits=4, group_size=32)...
Saving alpha.safetensors file...
Done!