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Update README.md

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@@ -21,7 +21,7 @@ widget:
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  url: workflow-demo3.png
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  ---
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  ## **qwen-image-edit-gguf**
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- - use 8-step (lite-lora auto applied) which is faster around 70% than the model itself
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  - run it with `gguf-connector`; simply execute the command below in console/terminal
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  ```
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  ggc q6
@@ -36,20 +36,20 @@ ggc q6
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  >
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  >Enter your choice (1 to 4): _
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  >
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- - opt a `gguf` file in the current directory to interact with; nothing else
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  ![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/q6.png)
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  ## **run it with gguf-node via comfyui**
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  - drag **qwen-image-edit** to > `./ComfyUI/models/diffusion_models`
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  - either 1 or 2 below, drag it to > `./ComfyUI/models/text_encoders`
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- - 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)] (recommended)
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  - 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** [[1.35GB](https://huggingface.co/chatpig/qwen2.5-vl-7b-it-gguf/blob/main/mmproj-qwen2.5-vl-7b-it-f16.gguf)]
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  - drag **pig** [[254MB](https://huggingface.co/calcuis/pig-vae/blob/main/pig_qwen_image_vae_fp32-f16.gguf)] to > `./ComfyUI/models/vae`
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  ![screenshot](https://raw.githubusercontent.com/calcuis/comfy/master/qi-edit.png)
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- 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
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  <Gallery />
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@@ -57,7 +57,6 @@ note: option 1 (pig quant) is an all-in-one choice; for option 2 (llama.cpp quan
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  - 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)
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-
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  ### **reference**
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  - base model from [qwen](https://huggingface.co/Qwen)
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  - comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
 
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  url: workflow-demo3.png
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  ---
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  ## **qwen-image-edit-gguf**
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+ - use 8-step (lite-lora auto applied); save up to 70% loading time
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  - run it with `gguf-connector`; simply execute the command below in console/terminal
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  ```
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  ggc q6
 
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  >
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  >Enter your choice (1 to 4): _
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  >
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+ - opt a `gguf` file in your current directory to interact with; nothing else
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  ![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/q6.png)
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  ## **run it with gguf-node via comfyui**
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  - drag **qwen-image-edit** to > `./ComfyUI/models/diffusion_models`
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  - either 1 or 2 below, drag it to > `./ComfyUI/models/text_encoders`
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+ - 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)] (recommended*)
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  - 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** [[1.35GB](https://huggingface.co/chatpig/qwen2.5-vl-7b-it-gguf/blob/main/mmproj-qwen2.5-vl-7b-it-f16.gguf)]
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  - drag **pig** [[254MB](https://huggingface.co/calcuis/pig-vae/blob/main/pig_qwen_image_vae_fp32-f16.gguf)] to > `./ComfyUI/models/vae`
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  ![screenshot](https://raw.githubusercontent.com/calcuis/comfy/master/qi-edit.png)
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+ *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
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  <Gallery />
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  - 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)
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  ### **reference**
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  - base model from [qwen](https://huggingface.co/Qwen)
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  - comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)