Turns images into true PBR texture maps fast.

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

This workflow helps you create production-ready PBR textures for realistic rendering. Using Ubisoft's advanced rendering decomposition, it converts reference or generated textures into full SVBRDF maps. You can easily control output materials for real-time engines or VFX pipelines. Perfect for designers seeking high-fidelity detail and modularization. Achieve richer, more accurate textures with predictable, high-quality surface properties.

Important nodes:

Key nodes in Comfyui CHORD Model workflow

CLIPTextEncode (#4)

Encodes your text into conditioning for the texture generator. Be explicit about material class, surface qualities, and tiling intent. Terms like orthographic, seamless, grout lines, pores, fibers, or micro-scratches help the generator produce structures that the CHORD Model can decompose reliably.

KSampler (#7)

Drives the latent diffusion process that creates the texture. Use it to trade speed for fidelity, switch samplers, and explore variations via the seed. A blank negative prompt is provided by ConditioningZeroOut (#5); add typical negatives only if you see artifacts you want to suppress.

ModelSamplingAuraFlow (#2)

Applies an AuraFlow-style scheduling to the UNet for sharper, coherent texture synthesis with z_image_turbo. Change the scheduler here when you experiment with different sampling behaviors packed with the model.

ChordMaterialEstimation (#20)

Runs the CHORD Model to estimate SVBRDF maps from the input texture. Results are production-ready base color, normal, roughness, and metalness. Use flat, evenly lit inputs without perspective to maximize accuracy; complex shadows or highlights can bias the decomposition.

ChordNormalToHeight (#18)

Converts the CHORD-predicted normal into a height map suited for displacement. Treat height as a relative surface signal and calibrate intensity in your renderer to match the intended scale.

EmptySD3LatentImage (#6)

Sets the canvas size and batch for texture synthesis. Choose a square resolution that matches your downstream material targets and keep this consistent across generations for predictable texel density.

Notes

CHORD Model Workflow in ComfyUI | PBR Material Generation — see RunComfy page for the latest node requirements.