Dual-mode identity-preserving generation with Face Combine and Zero-Shot workflows using InfiniteYou.
Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.
Open preloaded workflow on RunComfy
Open preloaded workflow on RunComfy (browser)
Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.
When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.
How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.
Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.
Overview
Updated 6/16/2025: ComfyUI version updated to v0.3.40 for improved stability and compatibility. InfiniteYou is a ComfyUI workflow powered by ByteDance's technology for identity-preserving image generation. It offers two main workflows: Face Combine for blending facial features between images, and Zero-Shot for creating portraits from a single reference and prompt. Switch between aes_stage2 (better aesthetics) or sim_stage1 (higher facial similarity) modes, with full parameter customization and optional LoRA support.
Important nodes:
Load ImageCLIP Text EncodeQueue PromptSave Imagefixed_face_pose
Notes
ComfyUI InfiniteYou | Identity-Preserving Face Generation Toolkit — see RunComfy page for the latest node requirements.
Description
Initial release — InfiniteYou.
Comments (1)
Many thanks for this and kudos! It took me some time to make it work but now it's running smoothly. Are you planning to support additional models? Would it be a lot of work to create a version for Chroma, for example?
