Fix bad lighting fast for perfect, clean, balanced photos every time.

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 achieve natural and even lighting across portraits or product shots. It removes harsh shadows and bright glare while maintaining subject detail and texture. Built for precise, tone-consistent image correction, it ensures your edits look subtle and professional. Perfect for optimizing lighting in photos taken under inconsistent conditions. You'll save editing time while gaining full control over light and tone balance for your visuals.

Important nodes:

Key nodes in Comfyui Qwen Edit 2509 Light Restoration workflow

• TextEncodeQwenImageEditPlus (#11)

• Role: turns your relight instruction into conditioning aligned with Qwen Edit 2509. Use imperative, concrete phrases and keep the “Relight” trigger at the start to ensure the adapter fully engages. Adjust wording to control direction, softness, and color temperature.

• TextEncodeQwenImageEditPlus (#99)

• Role: primary instruction encoder for the Light Restoration path. Keep prompts short and literal; emphasize “soft, even lighting” and “preserve details.” If the result looks stylized, add a short negative constraint in TextEncodeQwenImageEditPlus (#92).

• LoraLoaderModelOnly (#98)

• Role: applies the Light_Restore specialization that targets highlight rolloff and shadow lift. Increase the adapter weight for stronger correction; lower it for minimal, documentary changes. Pairing it with the Lightning adapter keeps edits crisp at low step counts.

• ModelSamplingAuraFlow (#2)

• Role: selects a scheduler tailored to Qwen’s editing dynamics. Use it to maintain stable guidance at low steps; switch only if you have a specific reason to trade smoothness for a different texture.

• KSampler (#83)

• Role: the main denoising engine. Tune seed for reproducibility, adjust steps to balance speed and fidelity, and nudge cfg if you need stronger adherence to the instruction or more preservation of the original scene.

• VAEDecodeTiled (#103)

• Role: decodes large images without seams. If you see borders or memory pressure, adjust tile and overlap to match your GPU budget; larger tiles reduce texture mismatches, smaller tiles reduce VRAM use.

• ImageScaleToTotalPixels (#84)

• Role: sets a total megapixel target so you can process large inputs safely. Raise the pixel budget for more detail when you have VRAM headroom; lower it when batch-processing many images quickly.

Notes

Qwen Edit 2509 Light Restoration in ComfyUI | Smooth Light Balancer — see RunComfy page for the latest node requirements.