We implement post-processing techniques that improve image clarity

针对Animagine XL V3.1 Lora训练活动而推出的一个简易的Lora批量测试工作流，请在load Lora节点处替换待测试Lora，并调整提示词（绿色节点为正向提示词，红色节点为负向提示词）、出图大小及数量（可在Empty Latent Image节点调整）等相关参数，有相关问题可在评论区提出

A different approach in the space of upscaling, Rather than upscaling the final image, Latent upscaling in the middle of the process can increase the details in an image significantly. I have implemented this idea in the comfy UI workflow and made an 8K image. This workflow is very good for beginners because i have added few useful notes in it. So feel free to use it and post your work and feedback.

面向新手，提供了五种常见的ControlNet预处理方法，帮助理解学习ControlNet的运作原理。改变最后的图片保存节点的所连节点，可获取不同的ControlNet预处理图以作二次处理。

I created this first workflow as a semi-beginner, I was inspired by things I saw online, particularly in tutorials on Civitai. I added descriptions of how it works in French and English. The goal is to do image to image in SDXL then upscale before processing in the samplet in order to improve the final result.

# Flux 📌 Face + Upscale by 🚩 Introduction to Workflow Flux 📌 Face + Upscale by 🚩 It is a consistent magnification workflow developed by Soil Sight Studio, mainly used for image processing and generation, particularly performing well in facial extraction and image super-resolution. ##1、 Model correlation 1. Rich types of models: Workflow involves multiple models, including Unet model, Clip encoder, VAE, etc. These models each undertake different functions, such as the Unet model for core image processing, Clip encoder for text image association, and VAE for image encoding and decoding. 2. Model source and placement: The model is mainly sourced from platforms such as Civitai and Hugging Face, and has clear placement path guidance. For example, the Flux Dev Q5 GGUF model is placed in the models/unet/directory, while the clip_1 model is placed in the models/clip/directory. At the same time, detailed download links are provided to facilitate users in obtaining and configuring the required models. ##2、 Workflow Process 1. * * Image Input and Preprocessing * *: Firstly, the image is loaded through the LoadImage node, and then the AutoDropFaces node may be used for face extraction, automatically detecting and cropping facial regions in the image to prepare for subsequent processing. Image scaling operations can also be performed, such as the ImageScaleToMegapixels node, which can scale the image at a specified magnification. 2. Model loading and setting: Load Unet model, VAE model, Clip model, etc. separately, and set and obtain the model and related parameters through SetNode and GetNode nodes. For example, loading the Unet model through the UNETLoader node, loading the VAE model through the VAELoader node, and loading the Clip model through the DualCLIPLOADer node. 3. Image Generation and Processing: Using the KSampler node for image sampling, generate new images based on the input model, positive conditions, negative conditions, and Latent images. The ControlNetApply Advanced node applies the ControlNet model to further control and optimize the image, adjusting the generation effect of the image by setting different parameters. 4. * * Post processing and output * *: The generated image can be previewed through the PreviewiImage node or saved locally using the SaveImage node. During this process, some post-processing operations can also be performed, such as the PlaySound | pysssss node playing specified sound prompts when image generation is complete. ##3、 Copyright Notice This workflow is independently developed by SoilSighStudio and is not for sale. Copyright✦ SoilSighStudio ✦

实现 图片 风格迁移

[Workflow introduction] online running URL ： https://www.runninghub.ai/post/1851088322331561986 After opening the workflow, you need to upload two images. One is a face image, and a frontal portrait is preferred here; the other is a clothing image. First, use Runninghub Captioner to reverse the prompt words, then use Apply PuLID Flux to perform facial migration, and then combine the FLUX model to generate a new image. Then, use the SUPIR model to optimize the image. Finally, generate the ID photo layout effect through the HivisionNode node. The built-in parameters have been set, and you are welcome to experience it. [Usage scenario] You only need to upload two images to generate ID photos with different outfits. You can change them according to different needs to generate a variety of images. Convenient, fast and practical, come and try it! [Key Node] PULD FLUX [Model Version] Flux Model Name: flux1-dev-fp8-Kijai.safetensors SUPIR Model Name: SUPIR-vOQ.ckpt [LoRA Model] None [ControlNet Application] None [K Sampler] CFG: 1.0 Scheduler: beta Noise Reduction: 1.00 Sampler: euler

联系我：15884404095（微信同号）。1.定制专属工作流（根据具体需求制作，更实用）2.定制Lora（让生成图片的模特、产品、风格等保持一致性）3.获取AI绘画视频教程（可在下面的更多中找到教程工作流）4.定制AI视频（根据具体需求生成特定视频）更多类似实用工作流可在个人主页获取有其他需求可以评论出来，会根据需求考虑更新功能：手部修复使用方法：在绿色框处上传要修复的手部图片，涂抹需要修复的手部区域，右上角点击开始生图就可以了。如果修复的图片细节不完美可以在更多工作流使用高清放大，完善细节。

Flux Kontext Fast + Upscale Workflow Status: Work in Progress - Still refining output quality This workflow combines the power of FLUX.1 Kontext with the Alimama Turbo LoRA to achieve fast, high-quality image generation and upscaling in just 8 steps. Key Features Fast Generation: Utilizes the alimama-creative/FLUX.1-Turbo-Alpha LoRA for rapid image generation with only 8 inference steps Context-Aware Editing: Leverages FLUX.1 Kontext capabilities for intelligent image editing and manipulation Two-Stage Process: Initial generation followed by upscaling for enhanced detail and resolution Efficient Workflow: Optimized for speed while maintaining quality output Workflow Components Stage 1: Fast Generation Model: FLUX.1 Kontext with Turbo Alpha LoRA Steps: 8 (significantly reduced from standard 20-50 steps) Guidance Scale: 2.5 (optimized for Turbo LoRA) Sampler: Euler with simple scheduler Stage 2: Upscaling Method: Ultimate SD Upscale with custom sampling Upscale Model: 4x-ClearRealityV1 Tile Processing: Intelligent slicing for memory efficiency Denoising: 0.2 strength for detail enhancement Technical Setup Required Models FLUX.1 Kontext DEV (FP8 quantized) Alimama FLUX.1-Turbo-Alpha LoRA 4x upscale model Standard FLUX text encoders (CLIP-L + T5) Memory Optimization FP8 model quantization for reduced VRAM usage Tile-based upscaling to handle large images Optional caching nodes for faster iterations Prompt Guidelines The workflow works best with detailed, descriptive prompts. The Turbo LoRA has been trained on high-aesthetic images (6.3+ rating) with resolution >800px, so it excels at: Detailed scene descriptions Lighting and atmosphere specifications Style and aesthetic directions Object replacement and background changes Current Limitations ⚠️ Work in Progress: Output quality is still being refined Some inconsistencies in fine details Occasional artifacts in upscaled regions This workflow represents an efficient approach to context-aware image editing with FLUX, trading some quality for significant speed improvements. Perfect for rapid prototyping and iterative design work.

《All Your Life 》 你一生的故事，上传一张照片获得从童年到老年的渐变肖像视频。仅适用RIFE-VFI的补帧实现动画，并没有AnimateDiff。 提供 写实照片 和 铅笔素描 的两个版本。你可以在附件中找到两个版本的json文件： All You Life-Photo照片版-Rui.json All You Life-Sketch素描版-Rui.json ———————— 更新，将Logo环节移至流程末端，从而避免logo在补间动画时产生抖动。（感谢datou的建议） Updated on 4 June to move the Logo link to the end of the process, thus avoiding logo jitter during fill-in animation.（Thanks to datou for the suggestion!） ———————— All Your Life , upload a photo to get a gradient portrait video from childhood to old age. Only RIFE-VFI's frame-filling implementation of animation applies, and there is no AnimateDiff. Available in both photo-realistic and pencil sketch versions. You can find both versions of the json file in the attachment.

### 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.

联系我：15884404095（微信同号）。1.定制专属工作流（根据具体需求制作，更实用）2.定制Lora（让生成图片的模特、产品、风格等保持一致性）3.获取AI绘画视频教程（可在下面的更多中找到教程工作流）4.定制AI视频（根据具体需求生成特定视频）更多类似实用工作流可在个人主页获取,有其他需求可以评论出来，会根据需求考虑更新功能：生成同风格图片使用方法：上传风格参考图片，主体人物图片，右上角点击运行就可以了。演示视频：https://www.douyin.com/user/self?from_tab_name=main&modal_id=7520625768813186339&showTab=post

[Workflow introduction] cloud running url： https://www.runninghub.ai/#/post/1849423538662035457 After opening this workflow, first upload a product image in the lower right corner and use IPAdapter for style transfer. The sdxl model is used here. Then, through the controlnet line drawing control, generate a product image with Halloween style. Then, expand the canvas of the generated image to make the image farther in the picture. Then, the background of this image and redraw its background using the flux model. Finally, use the flux model image to repair the whole image. [Usage scenario] This workflow only requires you to upload a product image to change the product to a Halloween theme background and integrate the image into the Halloween scene. Come and try it! [Key nodes] FLUX IP Adapter SegmentAnythingUItra_V2 [Model version] SDXLModel name: samaritan3dCartoon v40SDXL.safetensors FLUXModel name: flux1-dev.sft [LoRA model] Model name: F.1 Halloween Tales_V1.0.safetensors [ControlNet application] controlnet-union-sdxl-1.0 promax.safetensors Start time: 0 End time: 1 Intensity: 0 [Ksampler] CFG: 5.4Sampling method: dpmpp sdeScheduler: karras

联系我：15884404095（微信同号）。1.定制专属工作流（根据具体需求制作，更实用）2.定制Lora（让生成图片的模特、产品、风格等保持一致性）3.获取AI绘画视频教程（可在下面的更多中找到教程工作流）4.定制AI视频（根据具体需求生成特定视频）更多类似实用工作流可在个人主页获取有其他需求可以评论出来，会根据需求考虑更新功能：生成小红书模特 真实生活照风格使用方法：在绿色框选择需要测试的Lora，输入提示词（可根据需要进行修改），右上角点击开始生图就可以了。演示视频：https://www.douyin.com/user/self?from_tab_name=main&modal_id=7474787120276622627&showTab=post

工作流名称：小美人鱼卡通盲盒 【工作流介绍】 一键启动： https://www.runninghub.cn/#/post/1843486577418010625 这个工作流需要上传两张图像，美人鱼风格图像和人像，接着通过使用Joy_caption节点，可以为图像提供反向提示词，最后通过模型给到采样器，即可得到最终图形。 【使用场景】 通过两张图像就可以生成一个专属的美人鱼风格的盲盒，释放你的创意，打造属于自己的专属盲盒吧。 【关键节点】 FLUX模型 【模型版本】 FLUX 模型名称:flux1-dev-fp8-Comfy-Org.safetensors 【LoRA模型】 模型名称:maghe_rank16_bf16.safetensors 【ControlNet应用】 模型名称:flux-canny-controlnet-v3-xlabs-dev.safetensors 【K采样器】 CFG：1.0 采样方法：euler 调度器：simple 降噪：1.00

联系我：15884404095（微信同号）。1.定制专属工作流（根据具体需求制作，更实用）2.定制Lora（让生成图片的模特、产品、风格等保持一致性）3.获取AI绘画视频教程（可在下面的更多中找到教程工作流）4.定制AI视频（根据具体需求生成特定视频）更多类似实用工作流可在个人主页获取：有其他需求可以评论出来，会根据需求考虑更新功能：中国模特换外国模特使用方法：在绿色框上传中国服装模特，右上角点击开始生图就可以了。演示视频：https://www.douyin.com/user/self?from_tab_name=main&modal_id=7521287594072689966&showTab=post

联系我：15884404095（微信同号）。1.定制专属工作流（根据具体需求制作，更实用）2.定制Lora（让生成图片的模特、产品、风格等保持一致性）3.获取AI绘画视频教程（可在下面的更多中找到教程工作流）4.定制AI视频（根据具体需求生成特定视频）更多类似实用工作流：可在个人主页查看有其他需求可以评论出来，会根据需求考虑更新功能：黑白照片上色使用方法：在绿色框处上传需要上色的图片，在右上角点击开始生图就可以了演示视频:https://www.douyin.com/user/self?from_tab_name=main&modal_id=7503126667792010546&showTab=post