Loading models from: models/stable_diffusion/aingdiffusion_v12.safetensors model_name: sd_text_encoder model_class: SDTextEncoder model_name: sd_unet model_class: SDUNet model_name: sd_vae_decoder model_class: SDVAEDecoder model_name: sd_vae_encoder model_class: SDVAEEncoder The following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder']. Loading models from: models/ControlNet/control_v11p_sd15_softedge.pth model_name: sd_controlnet model_class: SDControlNet The following models are loaded: ['sd_controlnet']. Loading models from: models/ControlNet/control_v11f1p_sd15_depth.pth model_name: sd_controlnet model_class: SDControlNet The following models are loaded: ['sd_controlnet']. Using sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors. Using sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors. Using sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors. Using sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors. Using sd_controlnet from models/ControlNet/control_v11p_sd15_softedge.pth. /root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/timm/models/_factory.py:117: UserWarning: Mapping deprecated model name vit_base_resnet50_384 to current vit_base_r50_s16_384.orig_in21k_ft_in1k. model = create_fn( Using sd_controlnet from models/ControlNet/control_v11f1p_sd15_depth.pth. No sd_ipadapter models available. No sd_ipadapter_clip_image_encoder models available. No sd_motion_modules models available. Textual inversion verybadimagenegative_v1.3 is enabled. 0%| | 0/30 [00:00