ControlNet
Can be used in sd-webui-controlnet. Put the yaml file with model because it is sd2.1 vprediction model.
Source du modèle
- Type
- Other
- Taille du fichier
- 695 MB
- Version
- vDiff control wd15beta2 canny
- Mis à jour
- 6 oct. 2026
- Source
- Hugging Face
Description de la source
Can be used in sd-webui-controlnet. Put the yaml file with model because it is sd2.1 v_prediction model.
Model is the difference from the original checkpoint created by extract_controlnet_diff.py.
These are not the final version and need to be adjusted to be more accurate. Someone please do this.
wd15_controlnet_edge_depth_pose.ckpt
- target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2
- dataset: 20k 1girl images
- epoch: 5
- batch size: 8
- lr: 5e-5
- amp:bfloat16
diff_control_wd15beta2_canny.safetensors
updated in 2023/03/05.
- target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2
- dataset: 11k 1girl images
- epoch: 2
- batch size: 16
- lr: 5e-5
- amp:bfloat16
and resumed on:
- dataset: 60k 1girl images
- epoch: 2
- batch size: 16
- lr: 1e-5
- amp:bfloat16
diff_control_wd15beta2_pose.safetensors
updated in 2023/03/06.
- target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2
- dataset: 14k umamusume images. Therefore, the model may have a bias
- epoch: 5 (The “sudden convergence phenomenon” occurred at the fourth epoch)
- batch size: 16
- lr: 5e-5
- amp:bfloat16
and resumed on:
- dataset: 52k 1girl images
- epoch: 2
- batch size: 16
- lr: 1e-5
- amp:bfloat16
diff_control_wd15beta2_depth.safetensors
updated in 2023/03/06.
- target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2
- dataset: 11k 1girl images
- epoch: 2
- batch size: 16
- lr: 5e-5
- amp:bfloat16
and resumed on:
- dataset: 60k 1girl images
- epoch: 1
- batch size: 16
- lr: 1e-5
- amp:bfloat16
Sources
1 source
Sources
1 sourceVérifié 6 oct.
Download files
Artefacts du modèle
5 artefacts
Artefacts du modèle
5 artefactsdiff_control_wd15beta2_canny.safetensors
safetensors · 695 MB · SHA-256 e76d62c67b4a…d440 · Hugging Face
Download filediff_control_wd15beta2_depth.safetensors
safetensors · 695 MB · SHA-256 b19cd8dcd2d2…2fe2 · Hugging Face
Download filediff_control_wd15beta2_pose.safetensors
safetensors · 695 MB · SHA-256 db7281a2026f…b6b3 · Hugging Face
Download filewd15_controlnet_edge_depth_pose.ckpt
ckpt · 695 MB · SHA-256 26596207e8b3…91a2 · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: openrail tags: - stable diffusion - controlnet --- Can be used in [sd-webui-controlnet](https://github.com/Mikubill/sd-webui-controlnet). Put the yaml file with model because it is sd2.1 v_prediction model. Model is the difference from the original checkpoint created by [extract_controlnet_diff.py](https://github.com/Mikubill/sd-webui-controlnet/blob/main/extract_controlnet_diff.py). These are not the final version and need to be adjusted to be more accurate. Someone please do this. # wd15_controlnet_edge_depth_pose.ckpt + target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2 + dataset: 20k 1girl images + epoch: 5 + batch size: 8 + lr: 5e-5 + amp:bfloat16 # diff_control_wd15beta2_canny.safetensors **updated in 2023/03/05.** + target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2 + dataset: 11k 1girl images + epoch: 2 + batch size: 16 + lr: 5e-5 + amp:bfloat16 and resumed on: + dataset: 60k 1girl images + epoch: 2 + batch size: 16 + lr: 1e-5 + amp:bfloat16 # diff_control_wd15beta2_pose.safetensors **updated in 2023/03/06.** + target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2 + dataset: 14k umamusume images. **Therefore, the model may have a bias** + epoch: 5 (The “sudden convergence phenomenon” occurred at the fourth epoch) + batch size: 16 + lr: 5e-5 + amp:bfloat16 and resumed on: + dataset: 52k 1girl images + epoch: 2 + batch size: 16 + lr: 1e-5 + amp:bfloat16 # diff_control_wd15beta2_depth.safetensors **updated in 2023/03/06.** + target model: https://huggingface.co/waifu-diffusion/wd-1-5-beta2 + dataset: 11k 1girl images + epoch: 2 + batch size: 16 + lr: 5e-5 + amp:bfloat16 and resumed on: + dataset: 60k 1girl images + epoch: 1 + batch size: 16 + lr: 1e-5 + amp:bfloat16
Source context: 0 downloads · 93 likes · Repo furusu/ControlNet
