Wan 2.2 text-to-image (workflow included)

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Wan 2.2 is one of the best local video models. Generating high-quality videos is what it is known for. But if you set the video frame to 1, you get an image! It is a competent image model, thanks to training with diverse sets of videos, but only if you set up the parameters correctly.

In this article, I will share:

  1. Sample images from Wan 2.2 image mode
  2. Wan 2.2 Text-to-image workflow (ComfyUI)
  3. Settings for high-quality images
  4. Goods and bads of Wan 2.2 image generation

Software

We will use ComfyUI, a free AI image and video generator. You can use it on Windows, Mac, or Google Colab. 

Think Diffusion provides an online ComfyUI service. They offer an extra 20% credit to our readers.

Read the ComfyUI beginner’s guide if you are new to ComfyUI. See the Quick Start Guide if you are new to AI images and videos.

Take the ComfyUI course to learn how to use ComfyUI step by step.

Sample images

Here are some samples. The images are surprisingly diverse and detailed, showcasing the advantage of using a video model.

A medieval knight in ornate silver armor, polished and gleaming under radiant sunlight, riding a gigantic shimmering koi fish flying through the sky. The koi’s scales glow iridescent orange and gold, casting reflections across drifting lotus ponds suspended in the clouds. Red and golden paper lanterns float gently, their light flickering against a backdrop of endless pastel skies. Epic cinematic composition, ultra-detailed textures, dreamlike atmosphere, fantasy realism, 8K, volumetric lighting, high dynamic range.
A lively street soccer scene in a colorful urban neighborhood with pale blue and yellow buildings in mediterranean background. A young Iranian boy wearing a bright yellow and green soccer jersey with navy shorts, is skillfully juggling a soccer ball mid-air, his face full of concentration and energy. He wears black sneakers and white socks. Behind him, pastel-colored buildings with balconies, murals, and some graffiti. Parked cars line the sides of the street, but the road is open and vibrant with play. The atmosphere is dynamic and joyful, capturing the essence of childhood street soccer in a Latin or Southern European city. The lighting is warm and natural, suggesting late afternoon or early evening, with a cinematic depth of field that emphasizes the main boy in action while softly blurring the background buildings.
Portrait photograph of a young woman lying on her stomach on a tropical beach, wearing a white crochet bikini, gold bracelets and rings, and a delicate necklace, long brown hair loose over her shoulders. She rests on her forearms with legs bent upward, eyes looking at the viewer smile. The sand is light and fine. Some sand on her stomach. Turquoise waves roll gently in the background under a bright blue sky with scattered clouds. Midday sunlight, soft shadows, warm tones, high detail, sharp focus, natural skin texture, vibrant colors, shallow depth of field, bokeh, professional beach photography, shot on a 50mm lens, cinematic composition. It’s windy. realistic skin texture.
A lone samurai in crimson lacquered armor battling a towering origami dragon inside an ancient library. The dragon’s folded paper wings crackle with energy, scattering thousands of glowing calligraphy symbols into the air. Books fly like birds from towering bookshelves, pages tearing into stormy paper clouds that swirl above. Dramatic chiaroscuro lighting, ultra-detailed Japanese fantasy, cinematic still, hyperrealistic textures, 8K, intricate atmosphere.

Related workflows

Workflows from the WAN model family:

ComfyUI Colab Notebook

If you use my ComfyUI Colab notebook, you don’t need to download the model as instructed below. Select the Wan_2_2 model before running the notebook.

Wan 2.2 text-to-image workflow

Step 0: Update ComfyUI

Before loading the workflow, make sure your ComfyUI is up to date. The easiest way to do this is to use ComfyUI Manager.

Click the Manager button on the top toolbar.

Select Update ComfyUI.

Restart ComfyUI.

Step 1: Install models

The models are identical to Wan 2.2 Image-to-Video 14B. You don’t need to install any new models if you have them already.

After loading the workflow JSON file, ComfyUI should prompt you to download the missing model files.

Here are what you need to download:

Step 2: Load the workflow

Download the workflow below. Drop it into ComfyUI to load.

Download

Step 3: Revise the prompt

Revise the prompt to match what you want to generate.

Step 4: Generate an image

Click the Run button to run the workflow.

Change the noise_seed value of the KSampler node to generate a new image.

Settings for high-quality images

The Wan 2.2 Video model is a bit finicky. It has a narrow range of settings for generating high-quality images.

Model Shift

Setting the shift values in the ModelSamplingSD3 of both high and low noise models to 1 improves image quality and complexity of the scene.

Image size

Stick with SDXL-like image size.

  • 1:1 – 1024 x 1024
  • 5:4 – 1152 x 896
  • 3:2 – 1216 x 832
  • 16:9 – 1344 x 768

The model loses coherence quickly for image size > 1,344 pixels. You will see deformed bodies like those in the SD 1.5 days…

Sampler and scheduler

Unlike image models, the choice of the sampler and scheduler can make or break the image in Wan 2.2 Image model. The default Euler/Simple setting underperforms.

res_multistep/sgm_uniform performs quite well. The selection is purely by trial and error.

CFG

Similar to Stable Diffusion, the CFG value in the Wan 2.2 model controls how closely the prompt should be followed.

When the effect on the prompt is maxed out, the CFG value controls the saturation of the image.

The preset of the workflow is in the latter regime. Move CFG up and down to control the sautration.

CFG 1
CFG 2
CFG 3
CFG value.

Sampling steps

The Wan 2.2 14B model is actually two models — a high-noise model used in the initial steps and a low-noise model used in the final steps.

In the workflow, you can control the total number of steps and the step you want to switch to the low-noise model.

Increasing the sampling steps makes the image more complex and coherent.

5
10
20
30
Changing sampling steps (switch step fixed at 3).

The images from 5 and 10 steps above don’t really make sense.

My experience is that you need at least 20 steps to get decent images, but the more the better.

Switch step

The switch step controls the sampling step at which the sampling is switched from the high to the low noise model.

My experience is that you should spend most of the time in the low-noise model. That is, using a low switch step.

2
10
15
Switch step

The goods and the bads

Here are my takes after playing with the Wan 2.2 14B Video model in text-to-image mode.

The goods:

  • The image style is diverse and creative.
  • Good human pose composition.

The bads:

  • The image quality is very sensitive to the workflow settings.
  • Body parts, especially feet and toes, may not render correctly.
  • Long image generation time.
  • The model defaults to generating non-realistic images.

Other users’ experience

Wan2.2 Text-to-Image is Insane! Instantly Create High-Quality Images in ComfyUI : r/StableDiffusion

Pleasantly surprised with Wan2.2 Text-To-Image quality (WF in comments) : r/StableDiffusion

Andrew

By Andrew

Andrew is an experienced software engineer with a specialization in Machine Learning and Artificial Intelligence. He is passionate about programming, art, and education. He has a doctorate degree in engineering.

2 comments

  1. Thanks for sharing this with us, Andrew and for the tips on settings. I agree it’s a very good model for making images. I compared your prompts between Wan2.2, Flux Pro and Flux Kontext Pro and the images were comparable in quality. In fact, the woman lying on the beach was better in Wan2.2 as it was the only model that accurately modelled her feet – all the others made a complete mess of them!
    As you said generation was a bit slow, I loaded up A100 on Colab and it made an image in less than a minute so I suspect it will be comparable to Flux generation times on L4. I’ll add it to my priority list of i2i models.
    PS I think there might be some text missing at the end of the CFG section above?

    Reply

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