jizz on face

对脸部等进行化妆，细节增强处理，虽然都是变漂亮，但和美颜磨皮消除细节的过程刚刚相反。相信大家也应该更喜欢这个。

对脸部等进行化妆，细节增强处理，虽然都是变漂亮，但和美颜磨皮消除细节的过程刚刚相反。相信大家也应该更喜欢这个。

Upscale image by real esrgan and then run detailer on face

Welcome to the "Flux - Text2Img - Face Enhancement" workflow, designed to leverage the power of the Flux model within the ComfyUI interface. This workflow aims to generate high-quality images from text prompts while enhancing facial features to achieve a more polished and realistic look. Whether you're creating portraits, character designs, or any other type of image that requires attention to detail, this workflow will guide you through the process step-by-step.ObjectiveThe primary goal of this workflow is to:Generate images based on textual descriptions using the Flux model.Enhance facial features to ensure they are well-defined, natural, and visually appealing.Maintain the overall quality and realism of the generated images.

The presentation of the model in this image is done in a tasteful and elegant manner. The woman is shown in a close-up portrait, allowing the viewer to focus on her beautiful facial features and natural, radiant beauty.Her pose is relaxed and natural, with her shoulders slightly , creating a sense of openness and approachability. The lighting is soft and flattering, highlighting the contours of her face and the warmth of her skin tone.The woman's expression is warm and inviting, with a genuine, captivating smile that draws the viewer in. Her gaze is direct and engaging, establishing a connection with the audience.The overall presentation emphasizes the model's inherent charm, grace, and natural allure, without relying on overly provocative or objectifying elements. The image celebrates the woman's beauty in a tasteful, respectful manner, allowing her inner confidence and charisma to shine through.To further enhance the presentation, the prompt could suggest:"A beautifully composed, high-resolution portrait that showcases the model's natural, radiant beauty and captivating charm. The lighting is soft and flattering, accentuating the delicate features of her face and the warmth of her skin tone. Her relaxed, open posture and genuine, inviting smile create a sense of warmth and approachability, drawing the viewer in and highlighting her inherent grace and elegance."This prompt emphasizes the thoughtful, tasteful approach to the model's presentation, focusing on her natural allure and the image's overall artistic merit.

# 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 ✦

This node just got released and it's working great - you need a 24GbVram/16Gb Ram min - see notes in workflow - first run depends on Flux model and whether you add lora - but it was 90-120 secondsfirst load - and 15 seconds for regens with prompt or seed changes.

checkpoint: https://civitai.com/models/215418?modelVersionId=273102 (ComfyUI/models/checkpoints) instantid node: https://github.com/cubiq/ComfyUI_InstantID (ComfyUI/custom_nodes/) instantid model: https://huggingface.co/InstantX/InstantID/resolve/main/ip-adapter.bin?download=true The main model can be downloaded from HuggingFace and should be placed into the ComfyUI/models/instantid directory. (Note that the model is called ip_adapter as it is based on the IPAdapter models). (ComfyUI/models/instantid) antelopev2 model: https://huggingface.co/MonsterMMORPG/tools/resolve/main/antelopev2.zip (ComfyUI/models/insightface/models/antelopev2) controlnet model: https://huggingface.co/InstantX/InstantID/resolve/main/ControlNetModel/diffusion_pytorch_model.safetensors?download=true (ComfyUI/models/controlnet)

[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

1 girl filmed on the road with a smile on her face late at night

### 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

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我的主页获取，有其他需求可以评论出来，会根据需求考虑更新功能：人物写真，人脸和人物姿势大体不变，根据提示词进行人物写真生图使用方法：在绿色框处上传图片，输入想要结果图片提示词，右上角点击开始生图就可以了，介绍视频：https://www.bilibili.com/video/BV1PLtXeQEQJ/?vd_source=d0096cdcc467e418ce5aa9c608c61e83

You can find a ZIP file named "CuteYou2-Workflow-screenshot" in the attachments of this download page Inside is a complete workflow screenshot for parameter viewing. CuteYou - 2.0 Based on the upgraded version of PuLID+InstantID, the accuracy of facial feature migration has been significantly improved. Used Lightning to accelerate LoRa, making the entire process very fast. Demonstration video: https://www.bilibili.com/video/BV1TZ421u7pQ/ https://youtu.be/Xyi5cxsmK3A

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我的主页获取，有其他需求可以评论出来，会根据需求考虑更新功能：对人脸进行修复使用方法：在绿色操作区上传要修复人脸的图片，右上角点击开始生图就可以了。演示视频：https://www.douyin.com/user/self?modal_id=7510903498997861686

It is a simple workflow of Flux AI on ComfyUI. EZ way, kust download this one and run like another checkpoint ;) https://civitai.com/models/628682/flux-1-checkpoint-easy-to-use Check out more detailed instructions here: https://maitruclam.com/flux-ai-la-gi/ Just 20GB and no more download alot of thing. it was a bug when i tried to run flux on A1111 but i was finally able to use it on ComfyUI :V Old ver: You will need at least 30 GB to use them :) *** If you are a newbie like me, you will be less confused when trying to figure out how to use Flux on ComfyUI. In addition to this workflow, you will also need: Download Model: 1. Model: flux1-dev.sft: 23.8 GB Link: https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main Location: ComfyUI/models/unet/ Download CLIP: 1. t5xxl_fp16.safetensors: 9.79 GB 2. clip_l.safetensors: 246 MB 3. (optional if your machine has less than 32GB of TvT ram) t5xxl_fp8_e4m3fn.safetensors: 4.89 GB Link: https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main Location: ComfyUI/models/clip/ Download VAE: 1. ae.sft: 335 MB Link: https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/ae.safetensors Location: ComfyUI/models/vae/ If you are using an Ubuntu VPS like me, the command is as simple as this: # Download t5xxl_fp16.safetensors to the directory ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors # Download tp clip_l.safetensors to ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors # (Optional) Download t5xxl_fp8_e4m3fn.safetensors to ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors # Download ae.sft to ComfyUI/models/vae/ wget -P /home/ubuntu/ComfyUI/models/vae/ https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors For the model, you will need to learn how to generate Huggingface Access Tokens and add them to download and use like this: I don't know much about them so you can find out more. Why don't I make tutorial for Windows 10, 11 or XP? What do you expect from a Mario 64 laptop :) Original tutorial: https://comfyanonymous.github.io/ComfyUI_examples/flux/ Note: It works well with FLUX.1-Turbo-Alpha, LORA human face. 👤✨ Useful and FREE resources: ❤️Free server to make art with Flux: Shakker and Tensor Art and Sea Art ✨ More FLUX LORA? List and detailed description of each LORA I implement here: https://maitruclam.com/lora📚 🆕 First time using FLUX? Explanation and tutorial with A1111 forge offline and Comfy UI here: https://maitruclam.com/flux-ai-la-gi/🌐 🛠️ How to train your LORA with Flux? My detailed instructions are here: https://maitruclam.com/training-flux/📚 ❤️ Donate me (I would be real

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：https://www.liblib.art/userpage/d469e11390064db7ae3e009e31cff022/publish/workflow有其他需求可以评论出来，会根据需求考虑更新功能：汉服写真使用方法：在绿色框处上传人物脸部正面照图片，右上角点击开始生图就可以了。如果图片不满意，可以多跑几次。视频演示：https://www.douyin.com/user/self?from_tab_name=main&modal_id=7494869107125308735&showTab=post

Russian mix Korean Idol face

1 girl with perfect figure, super fine face and eyes, long hair