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---
license: apache-2.0
base_model:
- Qwen/Qwen-Image-Edit
pipeline_tag: image-to-image
tags:
- gguf-connector
- gguf-node
widget:
- text: >-
remove all UI text elements from the image. Keep the feeling that the characters and scene are in water. Also, remove the green UI elements at the bottom
output:
url: workflow-demo1.png
- text: >-
the anime girl with massive fennec ears is wearing cargo pants while sitting on a log in the woods biting into a sandwitch beside a beautiful alpine lake
output:
url: workflow-demo2.png
- text: >-
the anime girl with massive fennec ears is wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere
output:
url: workflow-demo3.png
---
## **qwen-image-edit-gguf**
- use 8-step (lite-lora auto applied); save up to 70% loading time
- run it with `gguf-connector`; simply execute the command below in console/terminal
```
ggc q6
```
>
>GGUF file(s) available. Select which one to use:
>
>1. qwen-image-edit-iq4_nl.gguf
>2. qwen-image-edit-q2_k.gguf
>3. qwen-image-edit-q4_0.gguf
>4. qwen-image-edit-q8_0.gguf
>
>Enter your choice (1 to 4): _
>
- opt a `gguf` file in your current directory to interact with; nothing else
## **run it with gguf-node via comfyui**
- drag **qwen-image-edit** to > `./ComfyUI/models/diffusion_models`
- either 1 or 2 below, drag it to > `./ComfyUI/models/text_encoders`
- option 1: just **qwen2.5-vl-7b-edit** [[7.95GB](https://huggingface.co/calcuis/pig-encoder/blob/main/qwen_2.5_vl_7b_edit-q2_k.gguf)] *
- option 2: both **qwen2.5-vl-7b** [[4.43GB](https://huggingface.co/chatpig/qwen2.5-vl-7b-it-gguf/blob/main/qwen2.5-vl-7b-it-q4_0.gguf)] and **mmproj-clip** [[608MB](https://huggingface.co/chatpig/qwen2.5-vl-7b-it-gguf/blob/main/mmproj-qwen2.5-vl-7b-it-q4_0.gguf)]
- drag **pig** [[254MB](https://huggingface.co/calcuis/pig-vae/blob/main/pig_qwen_image_vae_fp32-f16.gguf)] to > `./ComfyUI/models/vae`
*note: option 1 (pig quant) is an all-in-one choice; for option 2 (llama.cpp quant), you need to prepare both text-model and mmproj-clip
<Gallery />
- get more gguf encoder either [here](https://huggingface.co/calcuis/pig-encoder/tree/main) (pig quant) or [here](https://huggingface.co/chatpig/qwen2.5-vl-7b-it-gguf/tree/main) (llama.cpp quant)
### **reference**
- base model from [qwen](https://huggingface.co/Qwen)
- comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
- gguf-node ([pypi](https://pypi.org/project/gguf-node)|[repo](https://github.com/calcuis/gguf)|[pack](https://github.com/calcuis/gguf/releases))
- gguf-connector ([pypi](https://pypi.org/project/gguf-connector)) |