Tiny ControlNet Sd35
import torch from diffusers.models import SD3ControlNetModel
Source du modèle
- Type
- ControlNet
- Taille du fichier
- 1,36 MB
- Version
- vdiffusion_pytorch_model
- Mis à jour
- 6 oct. 2026
- Téléchargements
- 572
- Source
- Hugging Face
Description de la source
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")
Sources
1 source
Sources
1 sourceVérifié 6 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 1,36 MB · SHA-256 b05cbf9c258a…19f6 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: diffusers --- Pipeline generated with ```python 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") ```
Source context: 572 downloads · 0 likes · Library diffusers · Repo DavyMorgan/tiny-controlnet-sd35
Source context: 698 downloads · 0 likes · Library diffusers · Repo DavyMorgan/tiny-controlnet-sd35
