Welcome to another edition of the Mimic PC Flux Tutorial Series! In this blog, we’re diving deep into some of Flux’s advanced features, including image-to-image generation, inpainting, integrating Flux LoRA and IP Adapter, and a closer look at Flux ControlNet. If you’re new to Flux, make sure to check out Tutorial 1, where we cover the basics of setting up your Flux workflow in Mimic PC. Now, let’s jump into the fun stuff!
Chapter 1: Image-to-Image Generation with Flux
Let’s start with Image-to-Image Generation using Flux. We’ll modify a basic Flux workflow to get things going:
- Step 1: Remove the “Empty Latent Image” node.
- Step 2: Double-click in the clip-space to bring up the search bar and add a "Load Image" node, followed by a "VAE Encode" node.
- Step 3: Connect all the nodes properly, and you’ve got yourself a functioning Image-to-Image workflow.
Once the setup is ready, simply upload a reference image, add your positive and negative prompts, and tweak settings like CFG (1), Scheduler (simple), and denoise value (around 0.8). Then click "Queue Prompt" and watch Flux bring your image to life! You'll get a side-by-side comparison of the original and generated images to check out the transformation.
Chapter 2: Refining with Flux Inpainting
Next up is Inpainting—a great way to fine-tune specific areas of your images. Before we start, make sure you’ve installed the Comfy-UI Impact Pack via the Custom Nodes Manager. Once installed and relaunched, you can proceed.
- Step 1: Remove nodes like "VAE Encode", "Flux Guidance", and "K-Sampler."
- Step 2: Add the "Flux Sampler Parameter," "Differential Diffusion," "Gaussian Blur Mask," and "Inpaint Model Conditioning" nodes.
Connect everything, and your Inpainting Workflow is ready. Open your reference image in "Mask-Editor," paint over the areas you want to change, and hit "Queue Prompt." After the generation process, you’ll see your edited image with a detailed comparison.
Chapter 3: Integrating Flux LoRA and IP Adapter
Time to amp up your control with LoRA and the IP Adapter. Let’s first integrate LoRA into the Flux workflow:
- Step 1: Add a "LoRA Loader" node to the clip-space.
- Step 2: Choose your desired LoRA model and connect the necessary wires.
Once that’s set, enter your prompts, adjust the width and height (1024 pixels), and tweak other settings like CFG (1) and Scheduler (simple). Your Flux LoRA Workflow is now complete.
For IP Adapter, download the necessary model files from Hugging Face and upload them to the correct folders in Mimic PC. Then, modify the basic workflow by removing "K-Sampler" and "Flux Guidance" nodes, and adding the "X-Labs Sampler" and "Flux IP Adapter" nodes. Connect everything and you're all set. Upload your reference image, select the clip-vision model, and adjust the settings like steps (50), Timesteps (1), and True-GS (3.5). You’ll have a fully integrated IP Adapter Workflow.
Chapter 4: Deep Dive into Flux ControlNet
Now, let’s explore the power of ControlNet in Flux. Previously, we covered how to download ControlNets like "HED," "Canny," and "Depth." Here’s how to set up workflows for each of them:
- Step 1: Remove nodes such as "K-Sampler" and "Flux Guidance."
- Step 2: Add "Clip Text Encode Flux," "X-Labs Sampler," "Load Image," and "Load Flux ControlNet" nodes.
For the HED Workflow, ensure you have a "HED Soft-Edge Lines" node, and match the ControlNet path to "HED." Adjust settings like strength (0.7), image dimensions (1024 pixels), and steps (25). You can easily switch to a Depth Workflow or Canny Workflow by swapping the HED node for "Midas Depth Map" or "Canny Edge," respectively.
To take it a step further, add LoRA and IP Adapter into your ControlNet workflow by simply connecting the corresponding nodes. Increase the steps to around 50, and you’re ready to generate even more complex images.
Conclusion
That wraps up our advanced Flux tutorial! Today, we explored how to enhance your images with Image-to-Image Generation, fine-tune specific areas with Inpainting, and gain more control with LoRA, IP Adapter, and ControlNet. With these powerful features, Mimic PC makes it easy to level up your image creation process. Now go ahead and start experimenting—you’ve got the tools to unlock endless creative possibilities!
Outro
Thanks for tuning in to this Mimic PC Flux Tutorial! If you enjoyed this guide and found it helpful, be sure to like, share, and subscribe for more tips on AI-powered image creation. Stay creative, and see you in the next tutorial!