add: subsampling option

SaveAvif.py

@@ -15,12 +15,14 @@ class SaveAvif:
 
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": 
+        return {"required":
                     {"images": ("IMAGE", ),
                     "filename_prefix": ("STRING", {"default": "ComfyUI"}),
                     "c_quality":("INT", {"default": 75, "min": 0, "max": 100, "step": 1}),
                     "enc_speed":("INT", {"default": 6, "min": 0, "max": 10, "step": 1})},
                 "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                "optional":
+                    {"subsampling":(["4:2:0", "4:2:2", "4:4:4"], {"default": "4:2:0"})},
                 }
 
     RETURN_TYPES = ("IMAGE",)
@@ -31,16 +33,16 @@ class SaveAvif:
 
     CATEGORY = "image"
 
-    def save_avif(self, images, filename_prefix="ComfyUI", c_quality=75, enc_speed=6, prompt=None, extra_pnginfo=None):
+    def save_avif(self, images, filename_prefix="ComfyUI", c_quality=75, enc_speed=6, subsampling="4:2:0", prompt=None, extra_pnginfo=None):
 
         filename_prefix += self.prefix_append
         full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
         results = list()
-        
+
         for image in images:
             i = 255. * image.cpu().numpy()
             img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
-            
+
             img_exif = img.getexif()
 
             if not args.disable_metadata:
@@ -52,10 +54,10 @@ class SaveAvif:
                     for x in extra_pnginfo:
                         workflow_metadata += "".join(json.dumps(extra_pnginfo[x]))
                     img_exif[0x010e] = "Workflow:"+ workflow_metadata
-            
+
             file = f"{filename}_{counter:05}_.avif"
-            img.save(os.path.join(full_output_folder, file), quality= c_quality, speed= enc_speed, exif= img_exif)
-            
+            img.save(os.path.join(full_output_folder, file), quality= c_quality, speed= enc_speed, subsampling= subsampling, exif= img_exif)
+
             results.append({
                 "filename": file,
                 "subfolder": subfolder,
@@ -64,11 +66,10 @@ class SaveAvif:
             counter += 1
 
         return { "result": (images,), "ui": { "images": results } }
-        
+
 NODE_CLASS_MAPPINGS = {
     "SaveAvif": SaveAvif
 }
 NODE_DISPLAY_NAME_MAPPINGS = {
     "SaveAvif": "Save AVIF"
 }
-