This `ControlNetModel` was created using the code below:

```python
from diffusers import ControlNetModel
from huggingface_hub import HfApi, create_repo

controlnet = ControlNetModel(
    block_out_channels=(32, 64),
    layers_per_block=2,
    in_channels=4,
    down_block_types=("DownBlock2D", "CrossAttnDownBlock2D"),
    conditioning_embedding_out_channels=(16, 32),
    # SD2-specific config below
    attention_head_dim=(2, 4),
    use_linear_projection=True,
    addition_embed_type="text_time",
    addition_time_embed_dim=8,
    transformer_layers_per_block=(1, 2),
    projection_class_embeddings_input_dim=80,  # 6 * 8 + 32
    cross_attention_dim=64,
)
local_path = "tiny-controlnet-sdxl"
controlnet.save_pretrained(local_path)

repo_id = create_repo(
    repo_id=f"hf-internal-testing/{local_path}",
    exist_ok=True
).repo_id

api = HfApi()

api.upload_folder(
    repo_id=repo_id,
    folder_path=local_path
)
```

Can be initialized like so:

```python
from diffusers import ControlNetModel

controlnet = ControlNetModel.from_pretrained("hf-internal-testing/tiny-controlnet-sdxl")
```