Downloads · 30 days
17
15% of all-time downloads
WanImageProcessor14B
YiYiXu/WanImageProcessor14B
WanImageProcessor14B is a machine learning model from YiYiXu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
default image resizing method for wan 14B image-to-video pipelines (for both wan2.1 and wan 2.2 14B)
All-time downloads
115
Public
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.py2.4 KB · 45%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Aug 4, 2025
- SHA
- e8b2e4fd
Model card
From the Hugging Face model README
default image resizing method for wan 14B image-to-video pipelines (for both wan2.1 and wan 2.2 14B)
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
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))
- License
- apache-2.0
- Created
- Jul 30, 2025
- Updated
- Aug 4, 2025