complete white background

内附详细说明的纸艺风格艺术字工作流，上传白底黑字的图片，即可生成高质量的艺术字。工作流每个环节都有说明，同时设置超分模块，默认为普通出图，可根据需要连接即可切换。

SDXL Simple workflow for creating kickboxing, fight, orange, white background, stencil monochrome

(0607)MinorFix Background will be better in Magmix10 This workflow uses the SD 1.5 IPAdapter and OpenPose for the character pose. It requires the latest version of the IPAdapter Node and uses new weights "weak input" to keep most of the clothes' appearance (looks better than the ootd node in some situation). If you want to reproduce the results like the example picture, you can get the model you like from Civitai, provide the character pose reference, face image, clothes, and background to complete it in this workflow. The webp picture provided in Asset shows the effect of the reference picture under each type of weight. WD14 About editing WD14 tags. In FinalPrompt, if you see an unwanted label, you can add it to the blue grid (Unwanted) and add the required label to the red grid. Some users cannot use WD14, so they can bypass the WD14 node and enter prompt words that match their clothes and background in the red box. WD14 is not a necessary condition for the process, it just helps you with the prompt words, but there are often detection errors. Entering the prompts yourself can sometimes produce better results. == 这个工作流使用了SD1.5的IPAdapter与Openpose达成基本换衣的效果。它使用了IPAdapter的权重 "weak input"用以尽量维持衣服的外观 (某些情况下它比OOTD还要好，特别是在人物姿势与衣服完全不同的时候). 如果你想产生像是范例那样的结果，你可以从Civitai取得模型，提供背景、人物动作、衣服、支持上身与下身的衣服，以及背景。 WebP档案呈现IPAdapter在各种权重下，衣服的表现。 关于编辑WD14的标签。 在FinalPrompt中，若看到不要的标签可以将它加入蓝色的格位排除(Unwanted)，并在红色的格位加入需要的标签。 有些使用者无法使用WD14，可将WD14节点bypass掉，并自己在红色格中，输入符合衣服与背景的提示词。 WD14并非流程的必要条件，只是协助你进行提示词，但常有侦测错误，自己输入提示有时候会有比较好的结果。 目前这个工作流无法呈现衣服的细节，但AI换衣的理想是在哪种人物姿势下都能够穿上相对应的衣服，这个做法只是让它比较像一些而已。

### Redux Background and Character Replacement Process### I. Workflow Process Description:1. Extract the Character: the character from the original background.2. Position the Character: Place the extracted character proportionally onto the designated masked area. Next, perform depth redrawing on the pre-composited image: 3. Load the Flux Depth Model: Access the model necessary for depth processing. 4. Extract the Depth Map: Create and consolidate the depth map of the composited image for redrawing. 5. Generate the Redrawing Prompt: Derive a prompt that will guide the redrawing process. 6. Control Facial Features: Adjust the character's facial features using Pulid. 7. Apply Redux to the Background: Integrate Redux effects on the background. 8. Apply Redux to the Character: Apply Redux effects to the character. 9. Sample and Generate Final Image: Produce the final image based on the adjustments made.### II. Usage Instructions:1. Upload Character Image: Ensure the character image is clear and complete, particularly focusing on a large facial region.2. Upload Background Image: Add the desired background in the designated area.3. Paint a Mask on the Background: Simply paint a mask up and down; the left and right areas will adjust automatically.### III. Parameter Adjustment Instructions:1. Adjust Facial Similarity: Change the weight of Pulid to modify the similarity of the character's face.2. Adjust Background Similarity: Alter the `downsampling_factor` in the Redux background area; a value of 1 represents the strongest and most similar effect, while a value of 3 indicates the weakest effect with the greatest change.3. Adjust Other Character Areas: Modify the `downsampling_factor` in the Redux character area similarly; again, a setting of 1 is the strongest and most similar, while 3 is the weakest.

Updated v4 here, with IPAdapters, upscaler, color matching and more: https://openart.ai/workflows/risunobushi/product-photo-relight-v4---from-photo-to-advertising-preserve-details-color-upscale-and-more/gCMFAhrxCMjqc3Xr3Zsj Huge thanks to u/Powered_JJ on Reddit, who developed a group of nodes for using the Frequency Separation technique inside of comfyUI, thus allowing for complete detail preservation after relight directly inside of comfyUI. Video tutorial: https://youtu.be/3N0vvmAoKJA and a link to u/Powered_JJ's Reddit thread here: https://www.reddit.com/r/comfyui/comments/1cuuz1u/frequency_separation_union_workflow/ It's a all in one workflow, where the user can: - either generate a product, or start from a pre-existing product photo - segment out the product through a SAM group - generate a new background - blend the original product on top of the generated background - relight through mask (either a pre-existing light mask or by masking the resulting original product + background image in the Preview Bridge node) - keep finer details (such as text) by using a series of nodes that act as a frequency separation technique Want to support me? You can buy me a coffee here: https://ko-fi.com/risunobushi Cheers! Andrea