# Florence2 Image Annotator

```python
import torch
from diffusers.modular_pipelines import ModularPipelineBlocks, SequentialPipelineBlocks
from diffusers.modular_pipelines.stable_diffusion_xl import INPAINT_BLOCKS
from diffusers.utils import load_image

# fetch the Florence2 image annotator block that will create our mask
image_annotator_block = ModularPipelineBlocks.from_pretrained("diffusers/florence2-image-annotator", trust_remote_code=True)

my_blocks = INPAINT_BLOCKS.copy()
# insert the annotation block before the image encoding step
my_blocks.insert("image_annotator", image_annotator_block, 1)

# Create our initial set of inpainting blocks
blocks = SequentialPipelineBlocks.from_blocks_dict(my_blocks)
pipe = blocks.init_pipeline()
```