Update README.md

README.md

@@ -18,22 +18,35 @@ widget:
     url: workflow-demo3.png
 ---
 ## qwen-image-edit-plus-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 q7
+ggc q8
 ```
 >
 >GGUF file(s) available. Select which one to use:
 >
->1. qwen-image-edit-plus-iq2_s.gguf
->2. qwen-image-edit-plus-iq4_nl.gguf
->4. qwen-image-edit-plus-q8_0.gguf
+>1. qwen-image-edit-plus-v2-iq3_s.gguf
+>2. qwen-image-edit-plus-v2-iq4_nl.gguf
+>4. qwen-image-edit-plus-v2-iq4_xs.gguf
 >
 >Enter your choice (1 to 3): _
 >
 - opt a `gguf` file in your current directory to interact with; nothing else
 
+![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/q8.png)
+
+- `ggc q8` accepts multiple image input (see picture above; two images)
+- as lite-lora auto applied, able to use 8 steps; save up to 70% loading time
+
+![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/q8.png)
+
+- up to 3 pictures plus customize prompt as input (above is 3 images input demo)
+- or you could also opt the legacy `ggc q7`; similar to image-edit model before
+
+```
+ggc q7
+```
+
 ![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/q7.png)
 
 ## **run it with gguf-node via comfyui**
@@ -54,7 +67,39 @@ ggc q7
 pip install git+https://github.com/huggingface/diffusers.git
 ```
 - simply replace `QwenImageEditPipeline` by `QwenImageEditPlusPipeline` for the qwen-image-edit inference example (see [here](https://huggingface.co/calcuis/qwen-image-edit-gguf))
-- for multiple image input, please refer to the inference example from base model
+```py
+import torch, os
+from diffusers import QwenImageTransformer2DModel, GGUFQuantizationConfig, QwenImageEditPlusPipeline
+from diffusers.utils import load_image
+
+model_path = "https://huggingface.co/calcuis/qwen-image-edit-plus-gguf/blob/main/qwen-image-edit-plus-v2-iq4_nl.gguf"
+
+transformer = QwenImageTransformer2DModel.from_single_file(
+    model_path,
+    quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16),
+    torch_dtype=torch.bfloat16,
+    config="callgg/image-edit-decoder",
+    subfolder="transformer"
+    )
+pipeline = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", transformer=transformer, torch_dtype=torch.bfloat16)
+print("pipeline loaded")
+pipeline.enable_model_cpu_offload()
+image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
+prompt = "Add a hat to the cat"
+inputs = {
+    "image": image,
+    "prompt": prompt,
+    "generator": torch.manual_seed(0),
+    "true_cfg_scale": 2.5,
+    "negative_prompt": " ",
+    "num_inference_steps": 20,
+}
+with torch.inference_mode():
+    output = pipeline(**inputs)
+    output_image = output.images[0]
+    output_image.save("output.png")
+    print("image saved at", os.path.abspath("output.png"))
+```
 
 ![screenshot](https://raw.githubusercontent.com/calcuis/gguf-pack/master/hats.png)