Mage Flow Edit ComfyUI Workflow | Multi-Reference Editing

Mage Flow Edit delivers precise multi-reference edits while preserving your 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

Use Mage Flow Edit to transform a source photo with prompts and multiple references. You can replace objects or backgrounds. Preserve key composition and identity. Explore restoration and new visual styles. Get clear before-and-after edits in a ready-to-run graph.

Important nodes:

Key nodes in the Mage Flow Edit ComfyUI workflow

TextEncodeMageFlowEdit (#1)

This is the heart of instruction‑based editing for Mage‑Flow‑Edit. It merges your positive and negative instructions with the source image and up to three references to produce conditioning and a structure‑aligned latent. For stronger preservation, include explicit phrases like “preserve identity, pose, hands, camera angle, and lens perspective.” If you see unwanted additions, add brief negatives to steer the model away. This node relies on the Qwen3‑VL 4B encoder and the Mage Flow VAE described above. References: microsoft/Mage-Flow-Edit, Comfy-Org/Mage-Flow, Qwen/Qwen3-VL-4B-Instruct.

KSampler (#18)

Controls how the edit is applied. Steps and guidance influence detail and adherence to the instruction, while denoise strength governs how much the image can change. Keep denoise conservative for wardrobe swaps or restorations and increase it for background replacement or heavy style changes. Fix the seed when comparing small prompt tweaks so differences are attributable to your edits rather than randomness.

UNETLoader (#3)

Loads the specific Mage‑Flow‑Edit checkpoint. For interactive previews, you can switch to a Turbo variant to reduce latency, then return to the standard bf16 model for final quality. Low‑VRAM environments can use the INT8 ConvRot variants with a small quality trade‑off. See the Comfy‑ready file set for available options. Comfy-Org/Mage-Flow

ImageScaleToTotalPixels (#22)

Sets an efficient working resolution while maintaining the source aspect. Pick a total‑pixel target that fits your GPU memory and desired detail level; higher totals yield finer results but cost more VRAM and time. Keep the working size consistent across iterations to make A/B comparisons meaningful. This node is the easiest way to balance speed and fidelity before the encode and sample stages.

Notes

Mage Flow Edit ComfyUI Workflow | Multi-Reference Editing - see RunComfy page for the latest node requirements.