---
license: apache-2.0
---

default image resizing method for wan 14B image-to-video pipelines (for both wan2.1 and wan 2.2 14B)
```py
from diffusers import ModularPipeline
image_processor = ModularPipeline.from_pretrained("YiYiXu/WanImageProcessor14B", trust_remote_code=True)
image = image_processor(
    image="https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG",
    output="processed_image"
)
```

for wan 2.2 5B, the default method is here https://huggingface.co/YiYiXu/WanImageProcessor

this is the code to resize

```py

image = load_image(
    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"
)
max_area = 720 * 1280
aspect_ratio = image.height / image.width
mod_value = pipe.vae_scale_factor_spatial * pipe.transformer.config.patch_size[1]
height = round(np.sqrt(max_area * aspect_ratio)) // mod_value * mod_value
width = round(np.sqrt(max_area / aspect_ratio)) // mod_value * mod_value
image = image.resize((width, height))
```