Fast Qwen editing - swap anything, keep key scene details intact.

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 Qwen's rapid all-in-one editor to transform one source image with plain-language prompts. You can swap materials, objects, or outfits. Restyle environments while retaining key subjects and scene structure. Get fast before-and-after results. Optional LoRAs add control. Start ready to run.

Important nodes:

Key nodes in Comfyui Qwen Rapid AIO workflow

TextEncodeQwenImageEditPlusAdvance (#14)

This node fuses your instruction with the visual features of the input image to create edit‑aware conditioning and a starting latent. Adjust the prompt to describe exactly what to change and explicitly list what must be preserved. The instruction field can hold a general policy for edits, while target_size, target_vl_size, upscale_method, and crop_method control how the image is resized for vision‑language alignment. Use one resized image input as in this graph for single‑image edits.

KSampler (#10)

The sampler is where edits are applied to the latent. Tune steps for quality versus speed, cfg for how strongly the model follows the conditioning, and denoise for edit strength. sampler_name and scheduler influence noise traversal and texture; try a stable setting first, then vary them only if you see artifacts. Set a fixed seed for reproducibility when comparing small instruction changes.

LoraLoaderModelOnly (#1, #2, #3)

Each LoRA slot injects a lightweight adapter into the base model. Use lora_name to pick an adapter and strength_model to control its influence; stacking is supported but start with one adapter at modest strength. Clear lora_name or set strength_model to 0 to bypass a slot. Enable LoRAs only when you need a specific style or attribute nudge that the base Qwen Rapid AIO checkpoint does not already provide.

CheckpointLoaderSimple (#4)

Select the main checkpoint file here. The provided graph points to a Rapid AIO checkpoint derived from Qwen‑Image‑Edit‑2511, which includes compatible CLIP and VAE. You can swap to another Qwen‑Image‑Edit family checkpoint if you want baseline behavior or to compare results across variants.

Notes

Qwen Rapid AIO in ComfyUI | Fast Instruction Editing - see RunComfy page for the latest node requirements.