Consistent Character Creator 4.0 ComfyUI | Character Dataset

Build a consistent character dataset from one reference image.

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

Turn one reference into a reusable character dataset. FLUX.2 Klein 9B holds identity across 24 views, expressions, poses, and scenes. Preview the board before saving. Keep only accurate shots for captioning and LoRA training. The simple build removes upscaling and face-detail stages to reduce VRAM.

Important nodes:

Key nodes in the Consistent Character Creator 4.0 ComfyUI workflow

IdentityGuidance (#824)

Preserves identity during sampling by comparing the generated latent with the VAE-encoded reference. The provided adaptive settings favor matching regions while leaving room for pose, expression, and scene changes. If identity is weak across most modules, make small strength changes only after confirming the reference crop and consistency LoRA are correct.

LoraLoaderModelOnly (#664)

Loads the FLUX.2 Klein Consistency V2 LoRA at 0.35. This is the shared consistency control for every generation module. Raising it too far can make poses rigid or copy the source framing; lowering it can increase drift. Keep the original value while establishing a baseline.

AutoCropFaces (#537 and #1895)

Creates focused face references from the source and selected outputs. The first crop anchors identity at setup, while the later crop supports close-up and downstream reference paths. Use an input with one clearly visible face so automatic cropping does not select the wrong subject.

ResolutionSelector (#2903)

Sets the common canvas dimensions used by the dataset modules. The supplied workflow uses a square format, which works well for mixed close-ups and full-body references. Keep one resolution across a dataset unless your training pipeline explicitly expects multiple aspect ratios.

ImpactInversedSwitch (#2922)

Separates preview from save behavior. Use output 2 during review and output 1 only after the full board passes your consistency check. This makes it easy to iterate without filling the final dataset folder with rejected generations.

Image Save (#2053)

Writes the accepted batch to the path built from the root folder, character name, and dataset type. Set the name before queueing and keep it stable across reruns so captions and future LoRA training files remain organized.

Notes

Consistent Character Creator 4.0 ComfyUI | Character Dataset - see RunComfy page for the latest node requirements.