Universal exchange!!! E-commerce exchanges products, exchanges clothes, exchanges shoes, exchanges faces, exchanges limbs, scene exchanges landmarks, etc. Keep 99% of the details unchanged, change the perspective, and adjust the lighting and shadows according to the background image environment.
High-definition image details, streamlined plugin, clear.
General idea:
Mainly centered around the two redrawing models Flux Fill and Redux, combining product images and background images to unify elements. Ace assists in fine-tuning generated images (to prevent detail loss, such as text, lace details, etc.).
Consistent image proportions are meant to better merge product images together. Sampling the two combined images allows the final generated image to better learn the details of the product image and prevent detail loss.
Operation:
1. Import product/any image and scene image. (For the scene image, mask the area to be modified, making sure the masked area is roughly proportional to the product space.)
2. Fill in the segmentanthing prompt words (for higher controllability, you can replace it with nodes that don't require inputting prompt words).
3. Describe the expected generated prompt in a short sentence. (For example: There is a product image of a bottle of perfume; the scene image is a beach environment. Simply describe: "A bottle of perfume on the beach.")
Welcome everyone to use it, learn together, and provide valuable suggestions! The nodes are simple, without deliberately complicating them, making it suitable for reference.
Universal exchange!!! E-commerce exchanges products, exchanges clothes, exchanges shoes, exchanges faces, exchanges limbs, scene exchanges landmarks, etc. Keep 99% of the details unchanged, change the perspective, and adjust the lighting and shadows according to the background image environment.
High-definition image details, streamlined plugin, clear.
General idea:
Mainly centered around the two redrawing models Flux Fill and Redux, combining product images and background images to unify elements. Ace assists in fine-tuning generated images (to prevent detail loss, such as text, lace details, etc.).
Consistent image proportions are meant to better merge product images together. Sampling the two combined images allows the final generated image to better learn the details of the product image and prevent detail loss.
Operation:
1. Import product/any image and scene image. (For the scene image, mask the area to be modified, making sure the masked area is roughly proportional to the product space.)
2. Fill in the segmentanthing prompt words (for higher controllability, you can replace it with nodes that don't require inputting prompt words).
3. Describe the expected generated prompt in a short sentence. (For example: There is a product image of a bottle of perfume; the scene image is a beach environment. Simply describe: "A bottle of perfume on the beach.")
Welcome everyone to use it, learn together, and provide valuable suggestions! The nodes are simple, without deliberately complicating them, making it suitable for reference.








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