Short answer: this built-in ComfyUI template edits an image from a text instruction with Qwen Image Edit 2511 Int8. One switch picks the speed: with the Lightning LoRA on (the default) it runs 4 steps at CFG 1; with it off it runs 40 steps at CFG 4. Both use euler, simple and shift 3.1, and the main image is resized to 1280 × 704. The four files it loads total about 31 GB. The model, VAE and LoRA repositories list Apache-2.0; the text encoder's repository lists a Tencent community licence with conditions.

Output example

This workflow was run on a PC with an RTX 3090. We downloaded the saved output and inspected the image. It is one prompt and seed, not a general quality benchmark.

Generated example: Gouache-style teal lake, layered forest and peach sky retain the recognizable source layout and foreground driftwood.
Gouache-style teal lake, layered forest and peach sky retain the recognizable source layout and foreground driftwood.

Input references

Input reference 1: Clay Elliot
Input reference 1.

Clay Elliot · Source licence. Pillow proportional thumbnail to fit 1280x704, JPEG quality 95; upscale fixture fits 384x216, JPEG quality 80

Prompt used for this example
Restyle this mountain lake photograph as a hand-painted gouache travel illustration. Preserve the recognizable mountain silhouettes, forested shoreline and mirrored lake composition. Use layered flat shapes, visible dry-brush paper texture, warm peach sky, teal water and dark pine-green trees. No lettering or added buildings.

Observed limits: Saved internal 1280x704 resize changes the 3:2 input aspect to widescreen, stretching geometry; retained as the requested saved-recipe fixture. Lightning mode only.

Inside the Qwen Image Edit 2511 subgraph in ComfyUI: Models and Prompt groups with two Text Encode Qwen Image Edit Plus nodes, ModelSamplingAuraFlow at shift 3.1, CFGNorm, two Edit Model Reference Method nodes, an Original Settings group with 40 steps and CFG 4, a 4 Steps Lightning LoRA group with Load LoRA, 4 steps and CFG 1, three If/Else switches feeding the KSampler, and Resize Image/Mask at 1280 by 704
Inside the subgraph. One Boolean drives three switches, so the model, step count and CFG change together. The Original Settings group holds the 40-step values, and the Lightning group holds the 4-step ones.

Download and load the workflow

Download workflow (JSON)

Drag the downloaded JSON file onto the ComfyUI canvas to load it.

Install the model files and any custom nodes listed below. If the workflow uses input images, video or audio, select your own files in the input nodes before running it.

Which files go where

PartFileSizeFolder
Diffusion modelqwen_image_edit_2511_int8_convrot.safetensors20.5 GBmodels/diffusion_models
Text encoderqwen_2.5_vl_7b_fp8_scaled.safetensors9.38 GBmodels/text_encoders
Lightning LoRAQwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors0.85 GBmodels/loras
VAEqwen_image_vae.safetensors0.25 GBmodels/vae

The total is about 31 GB. None of the four repositories is gated. A LoRA is a small add-on file that changes how the main model behaves; this one lets it finish in 4 steps. The Load LoRA node stays in the graph when turbo mode is off, so download the file either way. No custom node packs are needed.

Settings in this workflow

SettingTurbo on (default)Turbo off
Lightning LoRAOn, strength 1Off
Steps440
CFG14
Sampler and schedulereuler, simple, denoise 1
Shift (ModelSamplingAuraFlow)3.1
CFGNorm strength1
Main image size1280 × 704 (scale dimensions, no crop, area)
Reference methodindex_timestep_zero on both conditioning paths
OutputPNG, 8-bit, sRGB

CFG (classifier-free guidance) sets how strongly the prompt steers the result. At CFG 1 the negative prompt has no effect; at CFG 4 it does. The KSampler itself stores 40 steps and CFG 3, but its steps and CFG are wired to the switches, so the values above are what run.

How to use it

  1. Pick your source image in Load Image. It goes to image1, which sets the output size.
  2. Optionally connect extra images to image2 and image3, for example a style frame. They go to both prompt encoders.
  3. Write the edit in positive_prompt. Add a negative_prompt only if turbo mode is off.
  4. Leave enable_turbo_mode on for 4 steps, or turn it off for the 40-step settings.
  5. Run the queue. Save Image (Advanced) writes PNGs with the prefix Qwen_Edit_2511.

The Edit Model Reference Method nodes

The note inside the subgraph says the two Edit Model Reference Method nodes are not needed with the Comfy-Org files. They may be needed if you use repackaged files from other people. Leave them in place unless you know your files do not need them.

The example prompt shows a useful pattern for strict edits: say what to change, then list what must stay the same (geometry, camera angle, framing, crossings) and what must not appear.

Licence

The model, VAE and LoRA repositories list Apache-2.0, which allows commercial use. The text encoder file is hosted in Comfy-Org/HunyuanVideo_1.5_repackaged, which lists tencent-hunyuan-community. That licence has conditions, so read it before commercial use. Our licence tracker compares the models we cover.

Troubleshooting

ProblemLikely causeFix
"Image failed to load" in Load ImageThe example image is not includedPick your own image.
Missing LoRA errorThe Lightning LoRA is not in models/lorasDownload it into models/loras and refresh.
Edits look wrong with files from another sourceRepackaged files may need the reference methodKeep both Edit Model Reference Method nodes connected, or use the Comfy-Org files.
Output has the wrong shapeimage1 is resized to 1280 × 704Change width and height in Resize Image/Mask.
Out-of-memory errorThe image size is too large for your GPULower the Resize Image/Mask dimensions and use fewer extra images.

Where to go next

FAQ

Do I need the Lightning LoRA?

It is only used in turbo mode. With turbo off, the KSampler gets the model without the LoRA and runs 40 steps at CFG 4. Keep the file in models/loras anyway, because the Load LoRA node is still in the graph.

How many images can I feed in?

Three: image1, image2 and image3. image1 sets the output size.

Can I use it commercially?

The model, VAE and LoRA repositories list Apache-2.0. The text encoder's repository lists a Tencent community licence with conditions, so read that before commercial use.

Sources