1.2

Author: phamhungd

model_lib.json

@@ -81,6 +81,7 @@
     "Qwen_Image_fp8.safetensors":"https://huggingface.co/StableDiffusionVN/QwenImage/resolve/main/Checkpoint/Qwen_Image_fp8.safetensors",
     "Qwen_Image_Edit_fp8.safetensors": "https://huggingface.co/StableDiffusionVN/QwenImage/resolve/main/Checkpoint/Qwen_Image_Edit_fp8.safetensors",
     "Qwen_Image_Edit_2509_fp8.safetensors": "https://huggingface.co/StableDiffusionVN/QwenImage/blob/main/Checkpoint/Qwen_Image_Edit_2509_fp8.safetensors",
+    "Qwen_Image_Edit_2511_fp8_lightning.safetensors": "https://huggingface.co/StableDiffusionVN/QwenImage/blob/main/Checkpoint/Qwen_Image_Edit_2511_fp8_lightning.safetensors",
     "Z_Image_turbo_fp16.safetensors": "https://huggingface.co/StableDiffusionVN/Z_turbo/blob/main/Checkpoint/Z_Image_turbo_fp16.safetensors",
     "Z_Image_turbo_fp8.safetensors": "https://huggingface.co/StableDiffusionVN/Z_turbo/blob/main/Checkpoint/Z_Image_turbo_fp8.safetensors"
 }

node/load.py

@@ -1201,6 +1201,8 @@ def INPUT_TYPES(s):
     CATEGORY = "📂 SDVN"
 
     def apply_controlnet(self, model, vae, image, model_patch, preprocessor, resolution, strength, mask = None):
+        image = UpscaleImage().upscale("Maxsize", resolution, resolution, 1, "None", image)[0]
+        latent = ALL_NODE["VAEEncode"]().encode(vae, image)[0]
         if preprocessor == "InvertImage":
             image = ALL_NODE["ImageInvert"]().invert(image)[0]
         elif preprocessor != "None":
@@ -1213,13 +1215,11 @@ def apply_controlnet(self, model, vae, image, model_patch, preprocessor, resolut
             else:
                 print(
                     "You have not installed it yet Controlnet Aux (https://github.com/Fannovel16/comfyui_controlnet_aux)")
-        image = UpscaleImage().upscale("Maxsize", resolution, resolution, 1, "None", image)[0]
         if model_patch in self.modellist:
             model_patch = ALL_NODE["SDVN AnyDownload List"]().any_download_list(model_patch)[0]
         else:
             model_patch = ALL_NODE["ModelPatchLoader"]().load_model_patch(model_patch)[0]
         model = ALL_NODE["QwenImageDiffsynthControlnet"]().diffsynth_controlnet( model, model_patch, vae, image, strength, mask)[0]
-        latent = ALL_NODE["VAEEncode"]().encode(vae, image)[0]
         results = ALL_NODE["PreviewImage"]().save_images(image)
         results["result"] = (model, latent)
         return results

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "sdvn_comfy_node"
-description = "Update all UI, Image Editor ...."
-version = "1.14"   
+description = "Update support Z-Image, Qwen 2511"
+version = "1.2"   
 license = {file = "LICENSE"}
 dependencies = ["#If MacOs - Please install aria2 manually via brew", "aria2;sys_platform != 'darwin'", "openai", "gallery-dl", "google-generativeai", "googletrans-py"]