hyper detailed photography:1

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.

sterpiece photography, best quality, score_9, score_8_up, score_7_up, perfect lighting, volumetric lighting, vivid colours, , BREAK 1 chinese woman fantasy sorceress, 18yo, (random hair colors) sleek (messy long) hair, parted bangs, btiflgrlsnr, voluminous hair, fair skin, realistic detsiled skin, slightly parted lips, extended eyeliner, very aesthetic, athletic body, ((small , small natural saggy )), soft diffused lighting, modern sleek indoor setting, slightly blurred background, gothic fantady background创作类型

# 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 ✦

lora strength 0.6-1.Trigger keywords are wanostyle (mandatory) and monkey d luffy for Luffy or roronoa zoro for Zoro. May also get nami and nico robin without embeddings. Luffy prompts reference:1boy, wanostyle, monkey d luffy, smiling, straw hat, looking at viewer, solo, upper body, ((masterpiece)), (best quality), (extremely detailed), depth of field, sketch, dark intense shadows, sharp focus, soft lighting, hdr, colorful, good composition, fire all around, spectacular, closed shirt, anime screencap, scar under eye, ready to fight, black eyes Zoro prompt word reference: 1boy, wanostyle, roronoa zoro, angry looking, katana, (one eye closed), scar across eye, solo, upper body, (((masterpiece))), ((best quality)), (extremely detailed), watercolor, illustration, depth of field, sketch, dark intense shadows, sharp focus, soft lighting, hdr, colorful, good composition, purple fire all around, spectacular, green hair, Nami prompt word reference: 1girl, wanostyle, nami_1800, (masterpiece), (best quality), solo, female focus, extremely detailed, illustration, kimono, traditional clothing, depth of field, sketch, dark intense shadows, sharp focus, soft lighting, colorful, good composition, solo, indoors,

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

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

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

yperrealistic, Celestial Beauty Candid view of a man, 1man, wearing Punk Biker outfit, with a mustache, Glowing fireflies in a garden, Holding a vintage film camera, capturing timeless moments, supernatural feel, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, best quality, intricate, sharp focus, 8k textures , hyperrealistic, shot with Mamiya Leaf, Leica Elmar-M lens, 85mm, f/1.8, (high detailed skin:1.2), uhd, dsir, soft lighting, high quality, film grain, Cinematic, dark theme skin

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，功能：更换商品图片背景使用方法：在绿色框处上传图片，填写商品和背景提示词，右上角点击开始生图就可以了。如果生成的图片需要再完善细节，可以在更多工作流（上面有链接）里使用高清放大，进行细节修复，演示视频：https://www.douyin.com/user/self?from_tab_name=main&modal_id=7454056951266200872&showTab=post