Dsaf69/Qwen-Image-Edit-Rapid-AIO-GGUF

🤗 Hugging Face 来源text-to-imageapache-2.01.1 TBGGUF✓ 74 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 Dsaf69/Qwen-Image-Edit-Rapid-AIO-GGUF ./model-folder
需要做种者 →

Only quants of https://huggingface.co/Phr00t/Qwen-Image-Edit-Rapid-AIO

No AIO, just NSFW and Lightning loras included, packaging VAE and text_encoder into GGUF is not possible ATM, needs the text encoder and the VAE.

READ CAREFULLY!!!

I personally recommend: Qwen2.5-VL-7B-Instruct-abliterated but the default text_encoder does also fine. I have cloned the abliberated files into my repo and fixed the mmproj ready to use.

HERE: https://huggingface.co/Phil2Sat/Qwen-Image-Edit-Rapid-AIO-GGUF/tree/main/Qwen2.5-VL-7B-Instruct-abliterated

!!! PLACE THE mmproj FILE NEXT TO THE Qwen2.5-VL-7B-Instruct-abliterated.xxx.gguf !!! "mat1 and mat2 shapes cannot be multiplied..." is the error you get if you don't

VAE https://huggingface.co/calcuis/pig-vae/blob/main/pig_qwen_image_vae_fp32-f16.gguf

Replace comfy_extras/nodes_qwen.py with https://huggingface.co/Phr00t/Qwen-Image-Edit-Rapid-AIO/blob/main/fixed-textencode-node/nodes_qwen.py

workflow text2image 4-step Q2_K: workflow edit of this image 4-step Q2_K:

workflow edit of this image 4-step Q5_K_M: