Start with the work. Trace it back to the maker and method.

This workflow can be used with one click on liblibai, with plugins and models already installed. Recommended large model: majicMIX realistic, or other realistic-style SD1.5 large models Recommended LoRA: Lin He - Wuhua Tianbao - e-commerce commercial product modeling and rendering premium-assist LoRA. If you do not have a membership, you can use other SD1.5 e-commerce-style LoRAs. The workflow tutorial is being updated. Workflow steps: 1. In the first Load Image module, upload the product image 2. In the second Load Image module, upload the product style reference image 3. Load the correct models required in the workflow. If you are not sure how to adjust them, you can watch the video tutorial (video tutorial pending update) 4. Click Generate Workflow compiled and published by [Designer Learns Ai] If you like this workflow, remember to follow me. My homepage has more workflows published.

Write the keywords carefully!!! The content must feature the item in the uploaded image as the main subject. The workflow was quite impressive when I built and tested it myself. The product image workflow automatically generates a suitable angle based on the specific need and blends perfectly into the environmental lighting and shadows. Product images can be uploaded with a transparent background, a white background, or any scene image that is not too complex!! A LoRA dedicated to retouching and rendering has been included. Address: ****s://****liblib.art/modelinfo/e5604e02cca44f0cb8ceeca0359447d3?from=personal_page&versionUuid=b54eed5cdd71420bb70beb3337b4d59c Mask expansion may require several tests to find the value range suitable for your own product. The default value is one I found to have relatively high compatibility after testing different products. You can generate multiple images at once and draw for the best result~ Everyone is welcome to share results, and you can also follow my profile for more e-commerce workflows. Note: this workflow does not mind the angle, lighting, or shadows of the uploaded product. Some small details in the output may have errors; in general, it can achieve 80~95% fidelity. If you need to preserve details perfectly, there are several workflow options available on my profile~

############### AI Master Workflow ################## This workflow can help you achieve: First, simply upload a product image, and you can use the latest sam2 model to cut out the product losslessly. Second, the extracted product can generate any background based on the prompt you write, and it can blend well with the background without looking out of place. Third, intelligent lighting adjustment. The current version temporarily uses the 1.5 lighting control model, and later versions can also be upgraded to the FLUX version to further enhance the product’s texture. Fourth, it can also ensure that the final generated main image perfectly preserves the original text on the product, so you can finally say goodbye to AI-processed gibberish. Fifth, if you also want AI to generate Chinese or English text on the final image, it supports calling any font installed on your computer, with free control over the text size, position, color, and more. Specific usage: e-commerce image generation + text generation two-in-one workflow ############### AI Master Workflow ##################

Sticker collage / creative image compositing / wallet / passport holder Application introduction: This workflow can seamlessly blend patterns onto specified products. It is designed specifically for visual design tasks such as e-commerce product image generation, pattern mapping, and scene integration. It can intelligently fit user-provided pattern images onto the surface of product images, generating highly realistic composite images that meet commercial photography standards, suitable for product displays, advertising design, content creation, and many other scenarios. 1. Intelligent blending, natural and realistic Uses advanced visual models such as Gemini 3 Pro Image to achieve natural integration of lighting, material, and perspective between the pattern and the product surface, avoiding a “mapped-on” look. Supports multilayer image input (two-image/three-image modes), allowing multiple patterns and base colors to be integrated at the same time. 2. Multiple modes, flexible adaptation Two-image mode: pattern + product image Three-image mode: pattern 1 + pattern 2 + product image Single-image mode: product image only + scene description generation Unlimited image variation: generate diverse lifestyle scene images based on a single image 3. Batch generation, efficient output Built-in Repeater node supports one-click batch generation of multiple result images (default 4), improving image output efficiency. Output quantity, quality (1K/2K/4K), and aspect ratio (1:1, etc.) can be freely adjusted. 4. Prompt guidance, precise control Provides structured prompt templates. Users only need to make slight adjustments to control: pattern integration method (printed layer/sticker feel/embossed feel), scene description (airport, cafe, office setting, etc.), shooting style (commercial photography/lifestyle snapshot/high realism) 5. Plug and play, easy to use Preset node connections and parameters are already configured. Users only need to: upload images, fill in or select a prompt, and click generate. Built-in with many example images and prompt cases, so beginners can get started quickly. How to use: Step 1: Upload the product image and pattern image. Step 2: Fill in the prompt (default is available Step 3: Click generate. Many high-quality workflows on the homepage: ****s://****liblib.art/userpage/46987de339ac47e0965172f7ccd1b939/publish/workflow Workflow customization, model customization, optimization, teaching, error troubleshooting, one-on-one guidance WeChat: [omitted] If this workflow is not what you need, contact the creator to customize an exclusive workflow.

Workflow introduction Remastered from: alansun Workflow source: https://openart.ai/workflows/alansyn/easy product relight/XdzTNRbqi1kMYpNjuFWm Product shadow and light poster drawing based on Brushnet IC Light, convenient and easy to use. By configuring different parameter switches, two mode paths are supported: Basic Mode : Suitable for scenes with simple background elements, controlling the background and light-shadow types through prompts Advanced Mode : Suitable for scenarios requiring more precise control, using precise prompts or style reference images as input, and using brushnet for background redrawing Configuration Parameter Description 1. Basic Prompt : Used to describe the product type, such as 1shoe 2. Light-Shadow Prompt : Used to describe the type of light-shadow, can also add background descriptions, such as sunshine light, river background 3. Product Image : Product material image that needs lighting, right-click and select `Open MaskEditor` to draw the lighting mask 4. Style Image : Reference image for redrawing the background in advanced mode, only effective when IP Adapter is enabled 5. Group Switch : Mode selection and whether to enable IP Adapter 6. Custom Light Mask : Customizable mask xy position in the LightMask Group

Workflow Introduction: This is a workflow for creating product posters with astonishingly good results. It can completely replicate your product and then reference the style of the background you want to use, combining the two to finally form a beautiful poster. In our work, we may encounter requirements to create posters and effect displays for a product. The most important thing to note in this requirement is that the product must not change and must blend very naturally with the background image. Of course, if you have advanced PS skills, you can certainly use PS for creation. However, PS is heavily dependent on materials, and if you are not very satisfied with the materials, you can use this workflow to draft your poster. Workflow Idea: First, process the product image by resizing it proportionally to a width of 1024, then cut out the product and create a mask for it. Next, perform prompt inversion on the reference image of the background style. Then use a combination of brushNET and contronet to blend the product image with the background prompts obtained from the inversion. By this step, the process is essentially complete. If you are satisfied with the output quality, you can stop the workflow here. To achieve commercial-level quality, I used FLUX to perform secondary sampling on the composite image. Then, I used IC Light to adjust the lighting and shadows of the product and background. Finally, I used FLUX with an upscaling model to enlarge the image to 2048, thus achieving commercial value. How to Use: It's very simple to use. From the perspective of running it once, you just need to upload two images: one product image and one background reference image, then click run. When uploading the product image, please ensure that there is only one product in the image and that the product image is of high quality. If using locally, please ensure you use the network scientifically to install nodes and models. If using online, please remember to reselect the model, as the location of models may vary across platforms. Test with sample images, and after running successfully, you can use your own product and background reference images, then fine-tune the parameters.  First Group     Final Effect    Second Group    Final Effect:  Share Download 190 Download 5 13 Open AI App Launch on cloud Like Favorite Fellow Daoist, please stay 2025-06-01 Update Follow Posters Fellow Daoist, please stay 2025-06-01 Update Follow Workflow introduction Workflow Introduction: This is a workflow for creating product posters with astonishingly good results. It can completely replicate your product and then reference the style of the background you want to use, combining the two to finally form a beautiful poster. In our work, we may encounter requirements to create posters and effect displays for a product. The most important thing to note in this requirement is that the product must not change and must blend very naturally with the background image. Of course, if you have advanced PS skills, you can certainly use PS for creation. However, PS is heavily dependent on materials, and if you are not very satisfied with the materials, you can use this workflow to draft your poster. Workflow Idea: First, process the product image by resizing it proportionally to a width of 1024, then cut out the product and create a mask for it. Next, perform prompt inversion on the reference image of the background style. Then use a combination of brushNET and contronet to blend the product image with the background prompts obtained from the inversion. By this step, the process is essentially complete. If you are satisfied with the output quality, you can stop the workflow here. To achieve commercial-level quality, I used FLUX to perform secondary sampling on the composite image. Then, I used IC Light to adjust the lighting and shadows of the product and background. Finally, I used FLUX with an upscaling model to enlarge the image to 2048, thus achieving commercial value. How to U

Upload a reference image and a transparent-background product image at the same time to generate an image in one click, with no prompt required. The product position and size in the reference image should not differ too much from the transparent product image. The aspect ratio of the transparent-background product image will be the final generated image ratio; there are no size requirements for the reference image. All product label details are fully preserved. Dedicated LoRA ****s://****liblib.art/modelinfo/cce9d298ce144cc7b916e1a703f07dfa?from=personal_page&versionUuid=7cef291b17e04747b92d31df5863c452 Feel free to add me if you have questions~

Workflow Introduction] First, this workflow needs to input the prompt word of the image you want to generate, then send it to the sampler after scheduling through the prompt word, and finally connect it with the text layout image to generate four posters. [Usage scenario] With a paragraph of text, you can quickly generate autumn harvest theme posters, which is convenient and fast. [Key nodes] FLUX model [Model version] FLUX Model name: flux1-dev-fp8-Comfy-Org.safetensors [LoRA model] Model name: Mini Farm_1.0LoRA.safetensors [ControlNet application] None [K sampler] Sampling method: euler Share Download 72 Download 1 2 Launch on cloud Like Favorite Isabella 2024-10-15 Update Follow Posters Holiday Themes Isabella 2024-10-15 Update Follow Workflow introduction Workflow name: Golden Autumn Harvest Poster [Workflow Introduction] First, this workflow needs to input the prompt word of the image you want to generate, then send it to the sampler after scheduling through the prompt word, and finally connect it with the text layout image to generate four posters. [Usage scenario] With a paragraph of text, you can quickly generate autumn harvest theme posters, which is convenient and fast. [Key nodes] FLUX model [Model version] FLUX Model name: flux1-dev-fp8-Comfy-Org.safetensors [LoRA model] Model name: Mini Farm_1.0LoRA.safetensors [ControlNet application] None [K sampler] Sampling method: euler