Flux download

Suggest downloading models separately according to different workflows rather than directly downloading the corresponding model files in the table.If you want to use Flux.1 in ComfyUI, you need to upgrade to the latest ComfyUI version. If you haven’t updated ComfyUI yet, you can follow the articles below for upgrading or installation instructions.Original version Flux.1 ComfyUI workflow guideThe original version workflow is more complex, requiring installation of multiple files. This tutorial includes two parts:Download and install CLIP、VAE、UNET modelsFlux.1 original version complex workflow, including Dev and Schnell versions, as well as low-memory version workflow examplesPart 1: Download and install CLIP、VAE、UNET modelsDownload ComfyUI flux_text_encoders clip modelsComfyUI flux_text_encoders on hugging faceDownload clip_l.safetensorsDownload t5xxl_fp8_e4m3fn.safetensors or t5xxl_fp16.safetensors Depend on your VRAM and RAMPlace downloaded model files in folder.Note: If you have used SD 3 Medium before, you might already have the above two modelsDownload FLux.1 VAE ModelFLUX.1-schnell on hugging faceDownloaded the model.Place downloaded model files in folder.For identification, you can rename it to ;Download FLux.1 UNET ModelFLUX.1-schnell on hugging faceDownloaded the Place downloaded model files in folderPart 2: Flux.1 ComfyUI Original Workflow ExampleComfyUI offical Flux.1 workflow example: can just save the image and load into Comfy!Flux Dev ComfyUI workflow exampleFlux Schnell ComfyUI workflow ExampleFlux under 12GB VRAM ORG FP8 Checkpoint versionThe following Checkpoint models are provide by ComfyUI Org，you only need to download one model file, and you can use it directly.Download the model version you needPlace in You can also use the Kijia Flux-FP8 ,since the file names are similar, it is recommended to rename the file after downloading or create a separate folder to distinguish it.Flux dev FP8 Checkpoint version workflow exampleFlux Schnell FP8 Checkpoint version workflow exampleNF4 Version Flux.1 WorkflowAuthor: lllyasvielFirst, you need to install the corresponding plugin: installation instructions can be found at ComfyUI Plugin Installation GuideNF4 Version Model Downloadlllyasviel made two versions of the NF4 Flux model, please download the V2 version directly, this version has better details and effectsInstall the ComfyUI_bitsandbytes_NF4 plugin, if you don’t know how to install the plugin, you can refer to ComfyUI Plugin Installation GuideDownload the flux1-dev-bnb-nf4-v2 file, and place the downloaded file in the directoryNF4 Version Flux.1 Workflow ExampleGGUF Version Flux.1 WorkflowAuthor: City96Project Address: Plugins and Download ModelsDownload the Flux GGUF dev model or the Flux GGUF schnell model and place the model files in the directory.Download t5-v1_1-xxl-encoder-gguf, and place the model files in the directory.Download clip_l.safetensors and place the model files in the directory.Download ae.safetensors and place the model files in the directory, and rename it to .Install ComfyUI-GGUF plugin, if you don’t know how to install the plugin, you can refer to ComfyUI Plugin Installation GuideGGUF Version Flux.1 Workflow ExampleRun Flux.1 onlineHere are some online methods provided by Black Forest Labs for utilizing

We have listed all the Flux based workflows(IP Adpater, ControlNets, LoRAs) at one place so that you don't need to jump to multiple articles.As instructed by Xlabs, you need to use the Flux Dev official model released by Black Forest Labs that uses the Unet loader. This helps to handle large Flux models (FP16 variant). They provided other option to work with lower end GPUs. You can also use Flux GGUF variant to manage 12GB VRAM memory usage. To use the Flux GGUF model variant, into the workflow you need to replace the "Load Diffusion Model" node with "UNET loader(GGUF)" node. You can find the "UNET Loader" from bootleg category.We already covered all the Flux variants in our previous tutorials. To get into the workflows (provided below), first of all you need to install ComfyUI on your machine and get the Flux model installation. You can also checkout other better options like Flux Tools released by Black Forest Labs.Table of Contents:Initial SetupTo setup IP Adpater, ControlNet or LoRA for Flux, you need to clone the Xlabs repository. Move to "ComfyUI/custom_nodes" folder and navigate to folder address location and type "cmd" to open command prompt. The do the repository cloning, use the cloning command:git clone IP AdapterThe IP-Adapter for Flux Dev released by X-Labs. The model has been trained on 512 by 512 for 50k steps that means we have the flexibility to use 512 by 512 and 1024 by 1024 resolution for image generation.Installation:1. Now, you need to update custom nodes. Move into "ComfyUI/custom_nodes/x-flux-comfyui" folder. Double click to open "setup.py" file to start the update process. Restart ComfyUI. After this, you have to download models.2. Download the IP Adapter model from Xlabs Hugging Face repository, and save it inside "ComfyUI/models/xlabs/ipadapters" folder.3. Next, you have to download Clip-L model(model.safetensors) from OpenAI's HuggingFace, and save this to "ComfyUI/models/clip_vision" folder. Rename it to anything relevant to get easily identified. 4. Workflows can be found inside your "ComfyUI/custom_nodes/x-flux-comfyui/workflows" folder or it can be downloaded from Xlab's Github repository.5. Now to work with the workflow, use these nodes - Flux Load IPAdapter and Apply Flux

Skip to content FLUX.1-dev is an advanced model developed by Black Forest Labs for generating high-quality images. By leveraging the capabilities of DiffusionBee, you can easily install and run this model on your Mac to create stunning visuals. DiffusionBee is known as the fastest and easiest toolbox to run AI apps locally, making it an ideal choice for image generation. Guide to Install FLUX.1-dev on Mac1. Download DiffusionBee:To start, you need to download DiffusionBee, which is the application that will allow you to run the FLUX.1-dev model on your Mac.Visit the DiffusionBee release page.Look for the latest .dmg file that matches your Mac’s architecture (e.g., arm64). Ensure it is compatible with your macOS version.2. Install DiffusionBee:Once the download is complete, locate the .dmg file in your Downloads folder or the directory where your downloads are saved.Double-click on the .dmg file to open it. A new window will appear, showing the DiffusionBee application icon and the Applications folder icon.Drag the DiffusionBee icon into the Applications folder. This will install the application on your Mac.3. Run DiffusionBee: Open your Applications folder and double-click on the DiffusionBee app to launch it.The first time you run it, you may need to bypass macOS security settings by right-clicking the app icon and selecting “Open,” then confirming you want to open the app.4. Load the FLUX.1-dev Model:Inside DiffusionBee, you will need to load the FLUX.1-dev model to start generating images.To do this, click on the “Models” option in the left menu of the DiffusionBee app, as shown in the screenshot below.Scroll down the list of available models until you find “FLUX.1-dev”. Click on the “Download” button next to the FLUX.1-dev model. This will download and install the model for you to use. 5. Create High-Quality Images:Once the FLUX.1-dev model is installed, you can begin creating images.Follow these steps, as shown in the screenshot below:Click on the “Text to Image” option in the left menu (Arrow 1).Select the “FLUX.1-dev” model from the “Model” dropdown menu (Arrow 2).Enter your prompt in the text box to describe the image you want to generate (Arrow 3).Click on the “Generate” button to create your image (Arrow 4).NotesCompatibility: The FLUX.1-dev model and DiffusionBee are optimized for devices with arm64 architecture running macOS 13 or later.Support: For more information about FLUX.1-dev and other models, visit the Black Forest Labs website.By following these steps, you can harness the power of FLUX.1-dev through DiffusionBee on

IPAdapter nodes (strength shouldn't be greater than 1), then select the relevant CLIP model from Dual Clip loader. Set the recommended resolution as 512x512 or 1024x1024. At last click "Queue" to get start the rendering.Well, we tested and the results were not that satisfying. Actually as officially reported this is in beta stage. So, you need to try multiple times with tweaked settings to get perfect results.Flux ControlNetThe ControlNET for Flux Dev released by X-Labs. Currently 3 models are supported Canny, HED, Depth (Midas). Another one i.e. ControlNet Union provided by InstantX.Installation:1. Now, you need to update custom nodes. From ComfyUI Manager select "Custom nodes manager" search for "controlnet auxilary preprocessor" and hit update button.Alternative:Move into "ComfyUI/custom_nodes/x-flux-comfyui" folder. Double click to open "setup.py" file to start the update process. Restart ComfyUI. After this, you have to download models.2. Next , you need to download all the ControlNet models if you want to enjoy the different art styles:(a) Released by XlabsCanny, Depth, HED (V1/V2)DepthV3CannyV3HEDV3(b) Released by InstantXControlNet Union-Includes canny, Depth, Tile, blur, Pose , Gray, Low quality. To know more about it, checkout our ControlNet union tutorial.Save all the models inside "ComfyUI/models/xlabs/controlnets" folder.(c) Released by Jasper AIThese are other controlnet models fine tuned on Flux by Jasper Research Team. Interested artirst can download all the Controlnet models provided below from JasperAI's Hugging face repository.Controlnet UpscalerControlnet Surface NormalsControlnet DepthAfter downloading just rename them as relative to define it distinct. As usual, save them inside "Comfyui/models/controlnet" folder.3. Get the respective ControlNet workflow from your "ComfyUI/custom_nodes/x-flux-comfyui/workflows" folder or it can be downloaded from Hugging Face.Here, ControlNetV1 used for 512x512 resolution. For 768 and 1024 dimensions use other ControlNets(V2/V3). CFG and Steps should be as usual for Flux Dev model. ControlNet Union included with multiple Controlnet models that is in beta stage. Flux LoRAXlabs trained multiple LoRAs like realism, anime, disney, art style, MidjouneyV6 on Flux Dev model. You can get the overall information about the Xlabs trained Flux LoRA models from their Github repository. By following that you can train your LoRA for Flux models as well. Alternatively, you can checkout our tutorial for

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Flux.1 ComfyUI install guidance, workflow and exampleThis guide is about how to setup ComfyUI on your Windows computer to run Flux.1. It covers the following topics:Introduction to Flux.1Overview of different versions of Flux.1Flux Hardware RequirementsHow to install and use Flux.1 with ComfyUIRelated resources for Flux.1, such as LoRA, ControlNet, etc.In this article, I will introduce different versions of FLux model, primarily the official version and the third-party distilled versions, and additionally, ComfyUI also provides a single-file version of FP8.The first part of the tutorial will mainly explain the official version and the third-party distilled versions, which require more related models to be installed.The second part will use the FP8 version of ComfyUI, which can be used directly with just one Checkpoint model installed.Introduction to Flux.1Flux.1 is a suite of generative image models introduced by Black Forest Labs, a lab with exceptional text-to-image generation and language comprehension capabilities. Flux.1 excels in visual quality and image detail, particularly in text generation, complex compositions, and depictions of hands. The model has refined hand details, significantly improving upon the finger deformities often seen in Stable Diffusion models. Flux.1 has also enhanced image quality, closing the gap with the top generative image software, Midjourney.Black Forest Labs was founded by Robin Rombach, a former core member of Stability AI.Official website of Black Forest Labs: or update Comfy UITo utilize Flux.1 within ComfyUI, you’ll need to upgrade to the latest ComfyUI model. If you haven’t updated ComfyUI yet, you can follow the articles below for upgrading or installation instructions.Part1. Offcial Versions and distilled of Flux.1Offical Flux.1 modelsI have listed the 3 versions currently released by Flux.1 officially, but the official versions have high hardware requirements. Currently there are many open source versions available with lower hardware requirements, which you can choose according to your needs.For more information, visit the Flux.1 repository: ComfyUI Hardware RequirementsMinimum VRAM: 8-12GB or above (slower generation speed)Recommended VRAM : 16-24GBCurrently, there are many open source community versions available with lower hardware requirements, such as GGUF versions, with a minimum VRAM requirement of 6GB.Flux.1 Official and Open Source Community Version Download AddressFlux.1 currently has 3 models released by the official, but only the Dev and Schnell versions are open source. Due to the high hardware requirements of Flux, many versions have been iterated by the open source community based on the original version, mainly including:Black Forest Labs official versions dev 、 schnellComfyUI FP8 versions dev 、schnellKijia FP8 versions flux-fp8lllyasviel BNB NF4 V2 versions devCity96 GGUF versions dev 、 schnellIf there are new versions, I will also update them in this article, so don’t forget to bookmark this article. The information corresponding to different versions is as follows. Although the table provides download links, I