ComfyUI interface showing Infinite-You workflow nodes and connections for AI image generation
Creator: Jack
ComfyUI

Install and Use Infinite-You in ComfyUI: Complete Setup Guide

Promptus
12 min
Wiki 117
promptus ai video generator

How to Install and Use Infinite-You in ComfyUI: Complete Setup Guide

In this how to searies, you'll learn how to installing and using Infinite-You in ComfyUI—a powerful tool to create multiple images of yourself, others, pets, or AI characters from a single reference image.

We’ll cover everything from setup to advanced workflows, including using Promptus Studio Comfy (PSC), a leading platform built on the open-source ComfyUI framework.

🤖 What Is Promptus Studio Comfy (PSC)?

Before diving into installation, understand PSC’s role:

  • Browser-Based & Cloud-Powered: Access ComfyUI workflows via CosyFlows (no-code interface), real-time collaboration, and distributed GPU compute for faster, high-res outputs.
  • Advanced Model Access: Built-in integration with models like Gemini Flash, HiDream, Hunyuan3D, Stable Diffusion, GPT-4o, and Gemini.
  • Workflow Publishing & Discord Integration: Share and collaborate easily, making it popular among creative teams and solo creators.
  • Multi-Modal Support: Generate text, image, and video within one platform.
  • Ease of Use: Ideal for users who want ComfyUI’s power without deep technical complexity.

⚙️ Setting Up Your Environment

You can follow this tutorial on RunPod or locally (Windows, Linux, or Mac). The folder structure and steps remain consistent.

🖥️ RunPod Installation Process

  1. Access Template: Use the provided RunPod template link to auto-set up ComfyUI.
  2. Select GPU: For this guide, we use an A100 PCIe with 80GB VRAM—adjust based on availability.
  3. Configure Environment Variables:
    • In Public Environment Variables, set required parameters (e.g., LoRA Depth, T5 Clip Model, additional Infinite-You models) to “1” for automatic downloads.
  4. Launch Services: Once provisioned, you’ll see:
    • Jupyter Lab: File manager for uploads or manual edits.
    • ComfyUI Interface: Visual workflow editor to build Infinite-You pipelines. ⚡

🗂️ Initial Setup and File Structure

  • Folder Layout: The template or local repo includes folders like models/checkpoints, custom_nodes, etc.
  • Accessing Files: Use Jupyter Lab (on RunPod) or your local file explorer to verify folders.
  • Workflow Editor: Open ComfyUI at its localhost URL (e.g., localhost:8188) to build or import workflows.

🔧 Installing Infinite-You Nodes

1. Open ComfyUI Manager

  • From the main interface, launch the Custom Nodes Manager.

2. Search & Install

  • Search: Enter “Infinite-You” in Custom Nodes.
  • Select Version: Choose “Infinite-You Human” (or relevant variant).
  • Install: Click install; wait ~2–3 minutes.
  • Try Fix: If installation fails, use “Try Fix” to reinstall problematic nodes.

3. Restart Interface

  • After installation, restart ComfyUI when prompted and refresh the browser. 🎉

🔍 Understanding the Workflow Components

The Infinite-You pipeline involves several key elements:

1. Model Configuration

  • Diffusion Model:
    • Uses Flux-1-dev with FP8 E4M3 weights by default.
    • Optionally swap to quantized versions to reduce GPU requirements.
  • Load Node: Ensure the “Load Diffusion Model” node points to the correct model file.

2. Dual Clip Loader

  • Clip Models: Requires T5-XXL-FP8 and Clip-L models.
  • Formats: Supports FP16 and FP8 for memory optimization.
  • Type: Set to “Flux” or matching the chosen diffusion model.

3. Text Encoding Setup

  • Separate Inputs: Two text boxes (one for FP16, one for Clip-L) allow split prompting for varied results.
  • Negative Prompts: Typically left empty for Flux-based workflows.

4. ID Embedding Configuration

  • Automatic Download: The workflow auto-downloads required embedding models.
  • Stages:
    • Stage 1: Less creative—follows input face closely.
    • Stage 2: More creative—allows divergence from the reference.
  • Provider Settings:
    • Face Analysis Provider: “Cuda”
    • Face Analysis Size: “auto”
    • Image Projection Tokens: Set to 8
  • Model Variants:
    • SIM Stage 1 & Stage 2 in FP16, BF16, or other precisions—choose based on GPU memory.

⚙️ Advanced Features and Controls

🧩 Face Control Net (Experimental)

  • Current Status: Included but not fully functional for pose control.
  • Intended Workflow:
    1. Load a control net pose or reference image.
    2. Extract face pose via face detector.
    3. Apply pose constraints to generated images.
  • Workaround: Leave pose image input empty to avoid conflicts until feature matures.

🔄 Optimization Parameters

  • Strength: Leave at 1.0 for standard likeness.
  • Start Percent: Try ~0.10 for subtle guidance early.
  • End Percent: Try ~0.90 to retain likeness while allowing changes.
  • Tips: Adjust these to balance fidelity vs. creativity and experiment per reference.

▶️ Running Your First Generation

  1. Load Reference Image: Connect your single reference (face/person/pet) to the designated input node.
  2. Enter Prompts: Fill both text encoding boxes with your desired style/context prompts.
  3. Verify Models: Ensure diffusion, clip, and embedding models are loaded without errors.
  4. Queue Prompt: Click “Queue Prompt” (or equivalent) to start.
  5. Monitor Progress: Watch logs or previews in ComfyUI; adjust parameters if needed. 🎨

📈 Results and Quality

  • Likeness Transfer: Infinite-You excels at maintaining facial features while adapting to new contexts/styles.
  • Variations: Try Stage 1 for closer matches, Stage 2 for creative variations.
  • Prompt Crafting: Use descriptive prompts (e.g., “portrait in cinematic lighting, vibrant colors”) to guide aesthetics.
  • Batch Generation: Generate multiple outputs, then select favorites for further refinement or upscaling.

🌐 Getting Started with Promptus

  • Sign Up: Visit https://www.promptus.ai and create an account.
  • Access Options:
    • Promptus Web: Browser-based, no local setup needed.
    • Promptus App: Desktop integration for shorter latency.
  • Import Workflows: Upload or recreate Infinite-You pipeline via CosyFlows (drag-and-drop).
  • Distributed Compute: Leverage cloud GPUs to run heavy models without local hardware constraints.
  • Collaboration: Share workflows, integrate with Discord, collaborate in real time. ✨

🛠️ Troubleshooting and Support

  • Node Import Failures: Use “Try Fix” in ComfyUI Manager; ensure correct Python/environment versions.
  • Model Download Issues: Check network access in RunPod or local; manually download and place model files if needed.
  • GPU Memory Errors:
    • Choose lower-precision variants (FP8/FP16) or smaller models.
    • Use cloud GPUs (Promptus or RunPod) if local VRAM is insufficient.
  • Interface Refresh: Always restart/reload ComfyUI after installing nodes or models.
  • Community Help: Join Discord servers or forums for ComfyUI/Infinite-You—experienced users share tips and custom workflows. 💡

🎉 Conclusion

This guide provides the foundation for exploring Infinite-You’s capabilities within ComfyUI, whether on Promptus Studio Comfy or a local/RunPod instance. By following these steps:

  • Install the Infinite-You custom nodes
  • Configure models, embeddings, and parameters
  • Run your first generation with a single reference image
  • Optimize via advanced settings and batch workflows
    …you’ll be able to produce diverse, high-quality character images effortlessly.

Dive in, experiment with prompts and settings, and enjoy creating personalized images at scale! 🚀😁

Happy generating!

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