Pipeline generated with
import torch
from diffusers.models import SD3ControlNetModel
def get_dummy_components_controlnet():
torch.manual_seed(0)
controlnet = SD3ControlNetModel(
sample_size=32,
patch_size=1,
in_channels=8,
num_layers=1,
attention_head_dim=8,
num_attention_heads=4,
joint_attention_dim=32,
caption_projection_dim=32,
pooled_projection_dim=64,
out_channels=8,
qk_norm="rms_norm",
dual_attention_layers=(0,),
)
return controlnet
if __name__ == "__main__":
controlnet = get_dummy_components_controlnet()
controlnet.push_to_hub("DavyMorgan/tiny-controlnet-sd35")
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