Configuring Flux nodes in ComfyUI

Demo summary
A walkthrough of the Flux-specific nodes in ComfyUI, including the dual clip loaders, the basic guider, and the sampler custom advanced node used for Flux generation.
Step-by-step
- Load the diffusion model using the Load Diffusion Model node
- Set up two Clip Loader nodes to load multiple CLIP models simultaneously
- Connect the conditioning to the Basic Guider node
- Connect the Basic Guider to the Sampler Custom Advanced node
- Configure the Schedulers (Sigmas) node for the specific Flux model type
- Connect the Empty Latent Image node, setting the resolution to 1024x1024
- Connect the Random Noise node directly into the Sampler Custom Advanced node
- Load the VAE model using the VAE Loader and connect it to the VAE Decode node
- Click Queue Prompt to begin the generation
Options
- Switch between pre-loaded models or manually uploaded model files
- Use Sampler Custom instead of Sampler Custom Advanced if negative conditioning is required
- Adjust batch size (e.g., set to 4) for multiple image generation
Watch out for
- Flux workflows do not use the traditional K Sampler node
- The standard Flux workflow shown lacks a negative conditioning input
- When switching to the Schnell model, you must reduce the steps to 4 to get it to work
Tips
- Use the RunComfy beta version to avoid spending hours downloading and uploading large model files
- Loading two clip loaders at once is recommended as it can improve the quality of the results
- Note that the K sampler selection is now handled within the sampler module itself rather than as a standalone node
All demos from “Getting Started with Flux in RunComfy”
0:180:54Launching a Flux workflow in RunComfyThe user selects the 'comfy y flux' workflow from the RunComfy dashboard and configures the GPU instance size to launch the environment.RunComfy· AI Image Generator
1:313:07Configuring Flux nodes in ComfyUICurrentA walkthrough of the Flux-specific nodes in ComfyUI, including the dual clip loaders, the basic guider, and the sampler custom advanced node used for Flux generation.ComfyUI· AI Image Generator
7:020:23Text-to-image generation with FluxThe user demonstrates Flux's prompt adherence by generating an image of an old TV with the word 'flux' on it in an abandoned workshop.ComfyUI· Text to Image
7:252:04Testing prompt adherence in FluxA demonstration of complex prompt adherence by generating a high-quality image of a dog riding a dolphin at sunset.RunComfy· Text to Image
9:314:03Image-to-image denoising with FluxThe user demonstrates how Flux handles image-to-image tasks by adjusting the denoise strength from 0.4 to 1.0 to show how it differs from Stable Diffusion.ComfyUI· Image to Image
13:342:35Fast image generation with Flux SchnellThe user switches to the Flux Schnell model and reduces the sampling steps to four to demonstrate high-speed image generation.ComfyUI· AI Image Generator- Watch “Getting Started with Flux in RunComfy” →
AI Image Generator
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25:032:06Managing seeds and randomizationShows the difference between 'Randomize' and 'Fixed' seed settings in the KSampler to either generate new variations or reproduce the same image.Sebastian Kamph
36:450:34Saving images to specific foldersShows how to use the 'Save Image' node and file path syntax to organize output images into custom subfolders.Sebastian Kamph
ComfyUI