Can DALL-E understand to use an image as a mask. The mask is to define the area of the generation frame to be filled with the new imagery.
I want to generate an image within the red area of the attached image.
I’ve tried a variety of prompts and it doesn’t understand.
Please help.
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Hi @s0s 
Welcome 
to the community!
DALL-E’s feature allows you edit specific parts of an image by selecting the area you want to change and describing what you want it to look like. Usually, this is done using DALL-E’s editor, where you can manually pick the area to edit.
But if you have a mask the part to be edited is marked in red, DALL-E doesn’t directly support uploading and using those masks. To get around this, you can use other tools to create a mask that DALL-E can work with. One way is to use a tool called the “Segment Anything” model, which can create dynamic masks that work well with DALL-E’s editing features.
Pleae visit this LINK
But, you may use ChatGPT-4o with python code Pillow library (Python Imaging Library). You can do it in simple. For example you can use following prompt, but you can modify it:
Prompt
I uploaded one mask image and other two images.
Process the images as follows:
- Resize the candle and wave images to match the dimensions of the mask image.
- Extract the red and white areas from the mask:
- The red area should correspond to a grayscale value of `255` in the mask.
- The white area should correspond to the inverse (non-red areas).
- Composite (merge) the candle image into the red area of the mask.
- Composite the wave image into the white area of the mask.
3. Save the final output image (e.g., "final_result.png") that contains:
- The candle image filling the red area.
- The wave image filling the white area.
- The rest of the areas left unchanged.
The code should handle errors gracefully, ensuring all images are properly aligned and processed. Use comments to explain each step of the code.
Use following sample code:
from PIL import Image
# Step 1: Load the mask and input images
mask_path = "mask.png" # Mask image with red and white areas
candle_image_path = "candle.jpg" # Image for the red area
wave_image_path = "wave.jpg" # Image for the white area
# Load and convert images to the appropriate formats
mask_image = Image.open(mask_path).convert("L") # Convert mask to grayscale
candle_image = Image.open(candle_image_path).convert("RGB")
wave_image = Image.open(wave_image_path).convert("RGB")
# Step 2: Resize the input images to match the mask dimensions
mask_size = mask_image.size
candle_image_resized = candle_image.resize(mask_size)
wave_image_resized = wave_image.resize(mask_size)
# Step 3: Create an inverted mask for the white area
white_mask_image = mask_image.point(lambda p: 255 - p) # Invert the mask
# Step 4: Composite the candle image into the red area
red_composite = Image.composite(candle_image_resized, wave_image_resized, mask_image)
# Step 5: Composite the wave image into the white area
final_image = Image.composite(wave_image_resized, red_composite, white_mask_image)
# Step 6: Save the final result
final_output_path = "final_result.png"
final_image.save(final_output_path)
print(f"Final image saved to {final_output_path}")
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Thanks for the reply.
I feel I can do the edit you show in Photoshop.
The emphasis of my questions is to have DALL-E generate its new image within the ‘mask’.
3 Likes
DALLE2 could do it, but that’s not yet available for DALLE3. Not sure if they will, but I’m hoping…
2 Likes
I used to use image masks when I designed 3D stuff for IMVU, like as an example a shirt would have two parts the mask and the texture. I do MESH work also. 
polygons and texture 