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ComfyUI: Image-to-image denoising with Flux

ComfyUITry it →Watch full video →Artificial Images ·

Demo summary

The 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.

Step-by-step

  1. Add a VAE Encode node to the workflow
  2. Add a Load Image node and select your source image
  3. Connect the Load Image output to the VAE Encode pixels input
  4. Connect the VAE output to the latent input of the sampler
  5. Enter a prompt describing the desired output style
  6. Adjust the Denoise strength slider to control the level of transformation
  7. Click to generate the image

Options

  • Use Clip Interrogator to generate prompts from the source image

Watch out for

  • Flux handles denoising differently than Stable Diffusion; a denoise of 1.0 will result in a completely new image with almost none of the original source remaining.

Tips

  • Start with a denoise of 0.4 if you want to keep the output very close to the original image.
  • Expect drastically different images once you reach a denoise level of 0.75 to 0.85.
  • Be prepared to play with the denoising aspect more than you would with Stable Diffusion to get the desired balance.

Highlights

“you will have to play with sort of the do noising aspect of this a little bit more and if you're used to a certain way the stability Works this will work slightly differently”

All demos from “Getting Started with Flux in RunComfy”

  1. 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.RunComfyAI Image Generator
  2. 1:313:07Configuring Flux nodes in ComfyUIA 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.ComfyUIAI Image Generator
  3. 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.ComfyUIText to Image
  4. 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.RunComfyText to Image
  5. 9:314:03Image-to-image denoising with FluxCurrentThe 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.ComfyUIImage to Image
  6. 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.ComfyUIAI Image Generator
  7. Watch “Getting Started with Flux in RunComfy” →

Image to Image

  1. 41:391:29Image-to-image generation with denoisingDemonstrates the image-to-image process by loading an existing photo and adjusting the denoising strength to create variations.AI Search
  2. 32:382:30Image-to-Image generation using DenoiseDemonstrates how the Denoise slider in the KSampler affects the transformation of a source image (cat) into a new subject (dog) based on a prompt.Sebastian Kamph
  3. 1:27:395:06Image-to-Image Workflow with Denoise ControlDemonstration of converting a text-to-image workflow into an image-to-image setup using VAE Encode and adjusting the denoise parameter to control variation.pixaroma
  4. 33:282:46Image-to-image transformation with Z-ImageThe user demonstrates how to modify a ComfyUI workflow to perform image-to-image tasks, converting a 3D animation into a realistic photo using Z-Image Turbo.AI Search
  5. 4:040:41Upload character reference imageThe user shows how to upload a reference image for character replacement or stylization within the ComfyUI workflow.MDMZ
  6. 28:561:50Image-to-Image Workflow in ComfyUIThe demo shows an image-to-image setup using a 'Load Image' node and a VAE Encode node to use an existing image as a structural guide for the K Sampler.Joey /// VP Land
  7. 3:041:18Enhance 3D clay models with Flux and ControlNetThe creator demonstrates using the Flux model in ComfyUI with a Depth ControlNet to transform a gray 3D massing model into a detailed streetcar scene while maintaining structural integrity.Matt Hallett Visual
  8. 8:512:02Image-to-image enhancement with denoisingThe video shows how to use the 'denoising' strength in ComfyUI to blend a base 3D rendering with AI-generated details like autumn trees and realistic people.Matt Hallett Visual
  9. 9:050:49Image-to-image generation with FLUX.1 KontextDemonstration of uploading an image and using a natural language prompt to transform a character's appearance while maintaining consistency using FLUX.1 Kontext.AI様の下僕
  10. 9:314:03Image-to-image denoising with FluxCurrentThe 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.Artificial Images
  11. 2:450:14Analyzing reference images for Ghost Mask modeThe video shows the process of using the 'Analyze' button to generate a short description of a subject for the Ghost Mask reference mode.RedShade
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