Add intelligent scaling algorithm selection for Qwen image edit node

- Implement automatic algorithm selection: area for downscaling, lanczos for upscaling
- Improve image quality by choosing optimal scaling method based on target size
- Add Chinese comments for better code documentation
- Ensure 8-pixel alignment for better compatibility with diffusion models

comfy_extras/nodes_qwen.py

@@ -29,16 +29,19 @@ class TextEncodeQwenImageEdit:
             total = int(1024 * 1024)
 
             scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2]))
-
+            # 修改缩放规则：乘数为8，向下取整
             width = math.floor(samples.shape[3] * scale_by / 8) * 8
             height = math.floor(samples.shape[2] * scale_by / 8) * 8
 
+            # 根据缩放比例选择算法：缩小用area，放大用lanczos
             original_width = samples.shape[3]
             original_height = samples.shape[2]
             
             if width < original_width or height < original_height:
+                # 缩小图像，使用area算法保持细节
                 upscale_method = "area"
             else:
+                # 放大图像，使用lanczos算法获得更好质量
                 upscale_method = "lanczos"
             
             s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
@@ -54,6 +57,7 @@ class TextEncodeQwenImageEdit:
         if ref_latent is not None:
             conditioning = node_helpers.conditioning_set_values(conditioning, {"reference_latents": [ref_latent]}, append=True)
         
+        # 将ref_latent包装成ComfyUI LATENT类型要求的格式
         latent_output = {"samples": ref_latent} if ref_latent is not None else None
         
         return (conditioning, output_image, latent_output)