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