How to Create Consistent AI Influencers and Earn Online (Fanvue)

Creating an AI influencer from scratch is an exciting mix of creativity, technology, and marketing. In this guide, we’ll walk you through everything you need to bring your AI influencer to life—from designing your first concept image to generating content, experimenting with different looks, sharing posts, growing a loyal following, and earning money by monetizing your AI influencer on Fanvue. By the end, you’ll have a clear roadmap to building a unique AI persona that stands out online and has the potential to generate real income.

Before you start creating your AI influencer, it’s essential to have the right tools in place. ComfyUI is one of the best open-source platforms for generating AI images and videos, with a flexible, node-based interface that makes it easy to bring your creative ideas to life. Whether you’re working on a local machine or using a cloud GPU platform, this section will guide you through everything you need to get started. Plus, we’ll provide pre-made workflows to help enhance your AI influencer’s creation, making it faster and easier to achieve high-quality results.

Installation of ComfyUI

ComfyUI is the core tool for building your AI influencer. Its node-based workflow lets you chain together image generation, enhancements, and custom models with precision. Choose the setup that works best for you:

• Option 1: Local Installation
  Ideal if you have a powerful PC or workstation (24GB VRAM recommended).
  👉 Follow our Local ComfyUI Setup Guide.

• Option 2: Cloud Deployment (Recommended)
  Perfect for users who want GPU access without heavy local hardware.
  👉 How to run ComfyUI on a Cloud Platform like RunPod.

With ComfyUI set up and ready, you’re all set to start designing your AI influencer. For the best results, we recommend using a cloud-based solution like RunPod, as generating high-quality images and videos requires powerful GPUs to work efficiently. Plus, in a later section, we’ll be using a dedicated RunPod template to create a custom LoRA, which will help maintain far greater consistency in your AI influencer’s creations.

In this section, we’ll use Flux Dev inside ComfyUI to bring your first vision of an AI influencer to life—just from a simple text prompt. Flux Dev is a high-quality image generation model that’s perfect for creating realistic, visually striking digital personalities.

Downloading & Loading the Flux Dev Model in ComfyUI

Flux Dev uses a specialized checkpoint file to generate images. Here’s how to set it up:

Step 1: Download the Flux Dev FP8 Checkpoint

Download the flux1-dev-fp8.safetensors file from Hugging Face, then move it into your ComfyUI\models\checkpoints folder so ComfyUI can use the Flux Dev model.

Step 2: Loading Flux Dev Workflow in ComfyUI

1. Open ComfyUI and go to the top-left corner of the interface.

2. Click Workflow → Browse Templates.

3. In the left sidebar, click Flux.

   

4. Select Flux Dev to load the workflow into the interface.

With the Flux Dev model now set up and loaded in ComfyUI, you’re ready to bring your AI influencer to life using nothing more than a simple text prompt. For instance, if you wanted to create a stunning Brazilian woman, you could use the following Flux Dev settings:

Prompt:

Brazilian-Filipina-American heritage, warm tan skin, shoulder-length tightly coiled spiral curls, high-volume bushy loose curls, dark roots with blonde tips, very large light hazelnut eyes, very full glossy lips, soft blush, wearing yellow satin mini dress with green accents, high slit emphasizing thighs, tiny waist, very full bust, leaning elegantly against villa railing, wind blowing curls, confident expression, photorealistic, ultra-detailed, 8K.

If you’re happy with the AI influencer you’ve created, the next step is to unlock their full potential by building a dataset with the Flux Kontext Model. This advanced tool can generate a rich variety of poses, facial expressions, and clothing styles—all derived from your original AI influencer image. By creating a diverse yet visually consistent set of images, you’ll have the perfect groundwork for training a Custom LoRA, ensuring your AI character maintains their unique look and personality in any scene, style, or setting.

This level of consistency is especially important if you plan to monetize your AI influencer, as it helps establish a strong, recognizable profile on platforms like Fanvue, making it easier to attract followers and start earning from your AI character.

But before we jump into creating a Custom LoRA, we first need to build that dataset—let’s do this together!

With your character design finalized, the next step is to create a high-quality training dataset. This dataset is crucial, as it will allow your AI model to accurately generate your character across a wide range of poses, expressions, and scenarios.

To start building the dataset, we’ll use the Flux Kontext Dev Model. This tool allows us to generate variations from individual images, so even a single close-up shot of your character can be transformed into multiple expressions, angles, or minor styling changes—all while preserving the character’s defining features. To see the full setup instructions and required downloads, you can click below to read the full article 👇.

How to Run Flux Kontext Dev Model in ComfyUI

Now, let’s move on to using Flux Kontext in ComfyUI to create these variations:

1. Load the Flux Kontext Dev Workflow

Start by loading the Flux Kontext Dev FP8 Workflow:

👉 Download the provided Flux Kontext Dev FP8 Workflow JSON file and drag it into your ComfyUI canvas.

2. Upload Your Initial Image

For this example, we’re using a close-up shot of our character to create additional close-up variations for the dataset. You can also use an upper body shot, full-body image, or other angles to generate variations—what you choose depends on the type of images you want in your dataset.

👉 Drag and drop your chosen image into the Image Input node in the ComfyUI workflow. We are using this close up shot:

This initial image will serve as the base for generating multiple variations while keeping your character’s defining features consistent.

3. Test with an Image-to-Image Prompt

When crafting your prompt, start by specifying what you want to stay the same—here, the character’s facial features, hair, and eyes. Then describe the aspects you want to change, such as the angle or expression.

Example prompt for a close-up variation:

Keep the character’s facial features, hair, and styling the same. Change her expression to a truly shocked look, eyes wide open, mouth fully open. Change her pose to be slightly side-viewed with hands near her face, bathed in warm, natural sunlight with perfect shadows highlighting her features, clean or softly blurred background, photorealistic detail, 8K resolution.

Using prompts like this, you can create multiple variations from a single image, building a richer dataset of expressions, poses, and angles while maintaining your character’s core identity. Here’s an example of the workflow output for our close-up variation:

Building Your High-Quality Dataset

Now, using the Flux Kontext Dev Model, you can efficiently create a high-quality, character-focused dataset. For this project, we have gathered 40 high-quality images, including:

• 10 close-ups highlighting facial features and expressions

• 10 upper-body shots showcasing posture, styling, and attire

• 20 full-body and angled shots capturing a variety of poses and perspectives

Below, you can see our full dataset—just to give you an idea of how a well-curated, high-quality dataset should look.

With your dataset fully prepared and organized, you now have a strong foundation to train your custom LoRA model. The high-quality images you’ve curated will ensure your AI model accurately captures your character’s look, expressions, and poses. In the next section, we’ll dive into LoRA training using RunPod, where we’ll use a custom template to streamline the process and make the most of your prepared dataset.

Now that you have a robust dataset, it’s time to train your custom Flux Dev LoRA model. This model will enable your AI influencer to consistently recreate the look and feel of your character across various images

Training Your Custom Flux Dev LoRA

With your high-quality dataset ready, you’re all set to train your custom LoRA model. Training will enable your AI influencer to consistently recreate your character’s look, expressions, and poses across a variety of images.

For a complete, step-by-step guide on training a Flux LoRA using FluxGym on RunPod, including account setup, template deployment, and advanced settings, check out our full tutorial here:

👉 How to Train a Flux LoRA with FluxGym on RunPod

Below is an example screenshot from the FluxGym web UI, where we’ve uploaded and captioned our dataset, adjusted settings, and prepared it for training. This view from the training interface gives you a glimpse of how your dataset will be used to teach the model.

Settings Used (FluxGym Training)

💡 We also provided Sample Image Prompts, with Sample Image Every N Steps = 400 — meaning every 400 training steps we got preview images of the LoRA’s progress!

Image Examples: FluxGym Training Preview

Below you can see the Sample Images FluxGym produces while training is in progress:

💡 You can clearly see that the LoRA is perfectly training on our dataset and our AI Influencer is really coming to life!

Training in FluxGym

On an RTX 4090 (24GB VRAM), training a LoRA usually takes around 2 hours from start to finish. Once complete, your .safetensors file(s) will appear in the output folder of your RunPod workspace.

Download and Test

When training completes, download the epoch you want to test — then comes the fun part: seeing your Flux Dev LoRA in action. Next, we’ll jump into ComfyUI and put your freshly trained model to the test.

Now that your training is complete, it’s time to see how your LoRA performs in the wild — by testing it directly in ComfyUI.

1. Load the Flux Dev LoRA Workflow

Start by loading the pre-built Flux Dev LoRA Workflow for ComfyUI:

👉 Download the provided Flux Dev LoRA Workflow JSON file and drag it into your ComfyUI canvas.

2. Insert Your Trained LoRA

Find the LoRA loader node in the workflow and load your trained .safetensors file. Make sure to place your LoRA file inside the ComfyUI/models/loras folder first.

Example: k1r4lun3z.safetensors

This file is the final checkpoint saved after 12 epochs. You can also try earlier versions like -000004 or -000008 to compare results and choose the best one.

3. Trigger Word & Prompt

After setting the LoRA strength (recommended 0.7–1), enter your trigger word k1r4lun3z in the input field and add a prompt to put your LoRA to the test.

Prompts similar to your training data will generally produce the most reliable results, but feel free to experiment with different styles, settings, and compositions to see how versatile your model can be. When you’re ready, click Run and let ComfyUI generate your first LoRA-powered image.

Prompt: k1r4lun3z, waist-up portrait, standing on Copacabana beach volleyball area, yellow Brazilian-style top with cleavage, cream high-waist skirt, wide hips highlighted, sunlight glinting on face and chest, relaxed sultry smile, ocean waves and palm trees subtly in background

Sometimes the skin can appear a bit plastic-like, but don’t worry—we’ve got the perfect solution to enhance skin and facial details next.

Sometimes, even the best LoRA-generated images can leave the skin looking slightly plastic or overly smooth. To fix this and add realistic texture and subtle facial detail, we use the Flux Krea Blaze workflow. This tool focuses exclusively on the face, enhancing features like eyes, skin, and natural lighting while leaving the rest of the image untouched.

It’s fast, precise, and perfect for giving your portraits a polished, natural look. Below, you’ll find multiple examples so you can see the difference the enhancement makes in action:

Example 1 - Close Up Shot

Example 2 - Medium Shot

Example 3 - Full Body Shot

Example 4 - AMAZING!

💡 For full step-by-step instructions and settings, see the Blazing Fast Face Detailer Workflow for ComfyUI article.

With your portraits polished and details enhanced, it’s time to bring them to life. Wan2.2 FP8 combined with the Lightning LoRA makes transforming static images into dynamic videos fast and effortless. This setup handles interpolation, motion, and high-quality rendering, letting you turn your enhanced images into cinematic sequences in just a few clicks. Let's get started.

1. Load the Wan2.2 FP8 + Lightning LoRA Workflow

Start by loading the Wan2.2 FP8 + Lightning LoRA Workflow in ComfyUI:

👉 Download the Wan2.2 FP8 + Lightning LoRA Workflow JSON file and drag it into your ComfyUI canvas. This workflow comes pre-configured for fast, smooth image-to-video generation, with all nodes and models already linked for seamless setup.

2. Prompt Your Base Image

Once the workflow is loaded, import your base image and craft a descriptive prompt to guide the animation. This step defines the pose, lighting, and overall motion of your video sequence.

Below are some 9:16 base image examples that we’ll animate next, giving you a sense of how still portraits can transform into dynamic clips:

The next step is turning these base images into breathtaking animations using WAN2.2.

3. Video Examples

After running the workflow, you can generate animated clips of your character in motion. Here are a few examples to illustrate what’s possible with this setup:

4. More Information

For more information check out these two guides:

Option 1

Learn how to quickly turn your enhanced images into dynamic videos using the optimized Wan2.2 FP8 workflow with LightX2V LoRA.
👉 FAST WAN2.2 Image to Video in ComfyUI

Option 2

Take your AI-generated videos to the next level with upscaling, face enhancement, and smooth frame interpolation.
👉 How to Upscale Videos in ComfyUI

This setup ensures you can go from polished portraits to cinematic-quality videos with ease.

Creating a successful AI influencer is a blend of creativity, technical skill, and strategic audience engagement. In this guide, you’ve learned how to design a unique AI persona, build a high-quality dataset, train a custom LoRA, enhance facial and image details, and turn static images into dynamic, eye-catching videos.

The final step is bringing your influencer into the real world—online. Platforms like Fanvue provide the perfect stage to showcase your AI influencer, engage with fans, and even monetize your content. By maintaining visual consistency and producing high-quality, engaging posts, your AI character can stand out, attract followers, and generate real income.

✨Remember: the key to success is consistency, creativity, and interaction. Keep experimenting with new looks, poses, and scenarios while leveraging the power of ComfyUI workflows and your trained LoRA. Your AI influencer is not just an image—it’s a digital personality capable of growing a loyal fanbase.

Next Steps:

• Set up your Fanvue account and start sharing your AI influencer content.

• Use your polished images and videos to create posts, stories, or exclusive content.

• Track engagement and adapt your strategy to maximize reach and earnings.

With the tools and techniques from this guide, you’re ready to turn your AI influencer into a thriving digital brand. The journey has just begun—start creating, sharing, and monetizing today!