Introduction
In this tutorial, we’ll explore how to use FLUX to easily change and enhance product backgrounds, making your images stand out in a competitive marketplace. Whether you want to remove distracting elements, create a more professional look, or match your branding, FLUX provides a seamless solution to elevate your visuals. Let’s dive in and learn how you can create polished, attention-grabbing product images that drive sales!
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Below is a step-by-step guide that will take you through everything from preparing the images to detail migration, and color adjustment, ensuring your subject blends naturally into the new background.
Using Flux on MimicPC
Getting started with Flux on MimicPC is simple and efficient, allowing you to unlock powerful features for your AI workflows in no time. For more information, please check out our guide on How to Run Flux on MimicPC
Before we start, make sure you are using the lastest version of ComfyUI on MimicPC to access the background replacement feature.
Guide to Setting Up and Runing the Workflow
Step 1: Checkpoint Model Installation and Identify Background Image
The following image features a checkpoint model provided by a user, which is a general-purpose model based on SDXL, it is also available for download on CivitAI.
Download link: https://civitai.com/models/112902/dreamshaper-xl
After setting up the checkpoint model, upload the background image you want to replace it with. In this workflow, we will use the following background image as an example.
Step 2: Setting up the IPAdapter and Loading LoRA
The following section will go through the IPAdapter and LoRA, where it will be explained step by step.
This is the IPAdapter, designed to control reference images and facilitate style transfer. It allows users to manipulate visual elements effectively, ensuring that the desired aesthetics are seamlessly integrated into their projects.
This resource provides access to the latest version of the model, allowing users to enhance their projects with its advanced capabilities. Download link: ip-adapter-plus_sdxl_vit-h.safetensors
After download the file, store the file at the following session: Storage>models>ipadapter.
This section is dedicated to loading LoRAs. These LoRAs aim at provide a simple real scene custom style for both scene and product style. It is recommended to use the sample parameters directly, and then modify the detail as needed.
Here are the download links of the LoRAs that used in this workflow:
For E-commerce scene: https://civitai.com/models/180202/e-commerce-photography-sceneslora-v10-showcase
For E-commerce style: https://civitai.com/models/133164/commercestylexl
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Step 3: Product Image Matting and Masking
In this workflow, this ''eye drop bottle'' will be used as a reference product image.
Firstly, we need to identify product images using a suitable method. Here, we choose PyMatting, a technique for image matting that generates finer edge effects. This tool allows for precise separation of the product from its background, ensuring that the edges are smooth and natural-looking.
Secondly, it is necessary to create a mask image for the product. This LayerUtility: GetColorTone V2 step is essential to ensure that the background can be effectively changed while preserving the details and integrity of the product itself.
Lastly, the LayerUtility: ImageBlendAdvance V2 is a tool sepcifically designed for advanced blending operations between layer images and background images. It allows users to seamlessly merge multiple image layers while maintaining the integrity of both the foreground and background elements.
Step 4: ControlNet Models Installation and Setting
This workflow utilizes two ControlNet models: controlnet-sd-xl-1.0-softedge-dexined.safetensors and t2i-adapter-depth-zoe-sdxl-1.0.safetensors. Both ControlNet Models can be download from the ComfyUI Manager.
Th t2i-adapter-depth-zoe-sdxl-1.0.safetensors is used for depth detection, capable of identifying the spatial relationship of objects within an image.
The controlnet-sd-xl-1.0-softedge-dexined.safetensors is designed to soften edges, making them smoother and reducing visible seams in composite images.
Step 5: Brushnet Model Installation and Image Processing
Now, moving to BrunshNet Loader, the BrushNet model is fine-tuned based on the diffusers/stable-diffusion-xl-1.0-inpainting-0.1, allowing it to effectively enhance and manipulate images. With its capability to outpaint pictures using a mask, users can seamlessly extend or modify image elements beyond their original boundaries.
Download link: https://civitai.com/models/275269/gwmoutpainting
As of the complexity of this workflow, it is recommended to use the parameters that have already been adjusted in the original workflow.
Final Outcome Presentation
These clean visually appealling designs highlight the product's features while giving it a polished, professional appearance suitable for e-commerce platforms. The result effectively balance minimalism with nature-inspired aesthetics to draw attention to the product.
Conclusion
Using this workflow on MimicPC, you can easily enhance your product images by changing and improving their backgrounds. This not only makes your products stand out but also helps in creating a consistent and professional brand image. With the step-by-step guide provided, you can quickly master the process and start creating stunning visuals that drive sales and engagement.
If you have any questions or need further assistance, feel free to reach out to our support team. Happy editing!