v0.12

README.md

@@ -1,4 +1,4 @@
-# 🔗 Comfyui : Bjornulf_custom_nodes v0.11 🔗
+# 🔗 Comfyui : Bjornulf_custom_nodes v0.12 🔗
 
 # Dependencies
 
@@ -20,6 +20,7 @@
 - **v0.9**: Add a new node : Return one random line from input.
 - **v0.10**: Add a new node : Loop (All Lines from input) - Iterate over all lines from an input text.
 - **v0.11**: Add a new node : Text with random Seed - Generate a random seed, along with text.
+- **v0.12**: Combine images : Add option to move vertically and horizontally. (from -50% to 150%)
 
 # 📝 Nodes descriptions
 
@@ -172,8 +173,8 @@ But you can sometimes also want a black and white image...
 ![Combine Images](screenshots/combine_background_overlay.png)
 
 **Description:**  
-Combine two images into a single image : a background and one (or several) transparent overlay. (allow for video frames.)  
-Update 0.8 : Also have a option to put image top, bottom or center.
+Combine two images into a single image : a background and one (or several) transparent overlay. (allow to have a video there, just send all the frames and recombine them after.)  
+Update 0.11 : Add option to move vertically and horizontally. (from -50% to 150%)  
 ❗ Warning : For now, `background` is a static image. (I will allow video there later too.)  
 
 ## 25 - 🟩➜▢ Green Screen to Transparency

combine_background_overlay.py

@@ -9,7 +9,8 @@ class CombineBackgroundOverlay:
             "required": {
                 "background": ("IMAGE",),
                 "overlay_alpha": ("IMAGE",),
-                "position": (["middle", "top", "bottom"],),
+                "horizontal_position": ("FLOAT", {"default": 50, "min": -50, "max": 150, "step": 0.1}),
+                "vertical_position": ("FLOAT", {"default": 50, "min": -50, "max": 150, "step": 0.1}),
             },
         }
 
@@ -17,7 +18,7 @@ class CombineBackgroundOverlay:
     FUNCTION = "combine_background_overlay"
     CATEGORY = "Bjornulf"
 
-    def combine_background_overlay(self, background, overlay_alpha, position):
+    def combine_background_overlay(self, background, overlay_alpha, horizontal_position, vertical_position):
         # Convert background from torch tensor to numpy array
         bg = background[0].numpy()
         bg = (bg * 255).astype(np.uint8)
@@ -37,14 +38,11 @@ class CombineBackgroundOverlay:
                 ov_img = Image.fromarray(ov, 'RGB')
                 ov_img = ov_img.convert('RGBA')
 
-            # Calculate position based on user selection
-            x = (bg_img.width - ov_img.width) // 2
-            if position == "middle":
-                y = (bg_img.height - ov_img.height) // 2
-            elif position == "top":
-                y = 0
-            else:  # bottom
-                y = bg_img.height - ov_img.height
+            # Calculate horizontal position
+            x = int((horizontal_position / 100) * (bg_img.width - ov_img.width))
+
+            # Calculate vertical position
+            y = int((vertical_position / 100) * (bg_img.height - ov_img.height))
 
             # Create a new image for this overlay
             result = Image.new('RGBA', bg_img.size, (0, 0, 0, 0))
@@ -52,7 +50,7 @@ class CombineBackgroundOverlay:
             # Paste the background
             result.paste(bg_img, (0, 0))
 
-            # Paste the overlay in the selected position
+            # Paste the overlay in the calculated position
             result.paste(ov_img, (x, y), ov_img)
 
             # Convert back to numpy array and then to torch tensor