---
library_name: diffusers
---

a simple block to prepare all your default image inputs: takes a image or url, `size` or pocessor_id in controlnet_aux

used for testing/demo 


to create the pipelline
```python
from diffusers import ModularPipeline
get_image_step = ModularPipeline.from_pretrained("YiYiXu/image_inputs")
```

common image inputs
```python
init_image = get_image_step(image_url=url,output="image")
control_image = get_image_step(image_url=url, processor_id="canny",output="image")
controlnet_union_image = get_image_step(image_url=url, processor_id="lineart_anime",output="image")
inpaint_image = get_image_step(image_url=inpaint_img_url, size=(1024, 1024),output="image")
inpaint_mask = get_image_step(image_url=inpaint_mask_url, size=(1024, 1024),output="image")
ip_adapter_image = get_image_step(image_url=ip_adapter_image_url,output="image")
```