{
  "completed_at": "2024-08-28T05:47:00.843157Z",
  "created_at": "2024-08-28T05:36:32.602000Z",
  "data_removed": false,
  "error": null,
  "id": "wm5t9ejhb9rgm0chjxy8nfgexw",
  "input": {
    "prompt": "best quality, perfect anime illustration",
    "prompt_2": "best quality, perfect anime illustration, light",
    "input_video": "https://replicate.delivery/pbxt/LWT4W9jAKsv5iAuHYe8jsfeb5t0Dze3Wgvs0FSSCfLkoWN1v/videoplayback%20%28online-video-cutter.com%29.mp4"
  },
  "logs": "Loading models from: models/stable_diffusion/aingdiffusion_v12.safetensors\nmodel_name: sd_text_encoder model_class: SDTextEncoder\nmodel_name: sd_unet model_class: SDUNet\nmodel_name: sd_vae_decoder model_class: SDVAEDecoder\nmodel_name: sd_vae_encoder model_class: SDVAEEncoder\nThe following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder'].\nLoading models from: models/ControlNet/control_v11p_sd15_softedge.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11f1p_sd15_depth.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_softedge.pth.\n/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.\nmodel = create_fn(\nUsing sd_controlnet from models/ControlNet/control_v11f1p_sd15_depth.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nNo sd_motion_modules models available.\nTextual inversion verybadimagenegative_v1.3 is enabled.\n  0%|          | 0/30 [00:00<?, ?it/s]\n 13%|█▎        | 4/30 [00:00<00:00, 35.27it/s]\n 33%|███▎      | 10/30 [00:00<00:00, 47.84it/s]\n 53%|█████▎    | 16/30 [00:00<00:00, 52.49it/s]\n 73%|███████▎  | 22/30 [00:00<00:00, 54.72it/s]\n 93%|█████████▎| 28/30 [00:00<00:00, 55.80it/s]\n100%|██████████| 30/30 [00:00<00:00, 53.08it/s]\n  0%|          | 0/30 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images:  13%|█▎        | 4/30 [00:00<00:02, 12.41it/s]\nSaving images:  20%|██        | 6/30 [00:00<00:01, 12.55it/s]\nSaving images:  27%|██▋       | 8/30 [00:00<00:01, 12.62it/s]\nSaving images:  33%|███▎      | 10/30 [00:00<00:01, 12.67it/s]\nSaving images:  40%|████      | 12/30 [00:00<00:01, 12.66it/s]\nSaving images:  47%|████▋     | 14/30 [00:01<00:01, 12.65it/s]\nSaving images:  53%|█████▎    | 16/30 [00:01<00:01, 12.60it/s]\nSaving images:  60%|██████    | 18/30 [00:01<00:00, 12.61it/s]\nSaving images:  67%|██████▋   | 20/30 [00:01<00:00, 12.61it/s]\nSaving images:  73%|███████▎  | 22/30 [00:01<00:00, 12.59it/s]\nSaving images:  80%|████████  | 24/30 [00:01<00:00, 12.57it/s]\nSaving images:  87%|████████▋ | 26/30 [00:02<00:00, 12.56it/s]\nSaving images:  93%|█████████▎| 28/30 [00:02<00:00, 12.56it/s]\nSaving images: 100%|██████████| 30/30 [00:02<00:00, 12.55it/s]\nSaving images: 100%|██████████| 30/30 [00:02<00:00, 12.58it/s]\nSaving video:   0%|          | 0/30 [00:00<?, ?it/s]\nSaving video:   3%|▎         | 1/30 [00:00<00:06,  4.52it/s]\nSaving video: 100%|██████████| 30/30 [00:00<00:00, 112.54it/s]\nLoading models from: models/stable_diffusion/aingdiffusion_v12.safetensors\nmodel_name: sd_text_encoder model_class: SDTextEncoder\nmodel_name: sd_unet model_class: SDUNet\nmodel_name: sd_vae_decoder model_class: SDVAEDecoder\nmodel_name: sd_vae_encoder model_class: SDVAEEncoder\nThe following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder'].\nLoading models from: models/AnimateDiff/mm_sd_v15_v2.ckpt\nmodel_name: sd_motion_modules model_class: SDMotionModel\n    The following models are loaded: ['sd_motion_modules'].\nLoading models from: models/ControlNet/control_v11f1e_sd15_tile.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11p_sd15_lineart.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11f1e_sd15_tile.pth.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_lineart.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nUsing sd_motion_modules from models/AnimateDiff/mm_sd_v15_v2.ckpt.\nTextual inversion verybadimagenegative_v1.3 is enabled.\n  0%|          | 0/30 [00:00<?, ?it/s]\n 57%|█████▋    | 17/30 [00:00<00:00, 166.58it/s]\n100%|██████████| 30/30 [00:00<00:00, 180.05it/s]\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:03<01:42,  3.52s/it]\n 10%|█         | 3/30 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  "metrics": {
    "predict_time": 446.201949052,
    "total_time": 628.241157
  },
  "output": "https://replicate.delivery/pbxt/ziy8T6relvVsS6dhIDzXPeuTncsqeexeTIRfJIz23zv60rx1E/video.mp4",
  "started_at": "2024-08-28T05:39:34.641208Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/wm5t9ejhb9rgm0chjxy8nfgexw",
    "cancel": "https://api.replicate.com/v1/predictions/wm5t9ejhb9rgm0chjxy8nfgexw/cancel"
  },
  "version": "c1981efbe73ce88114364ca3634cc08d9e34934b02c75b68652efc7690867fc4"
}

{
  "completed_at": "2024-08-28T13:06:25.656877Z",
  "created_at": "2024-08-28T12:40:28.590000Z",
  "data_removed": false,
  "error": null,
  "id": "ybdjabkgnsrj40chk409tvr7a0",
  "input": {
    "prompt": "best quality, perfect anime illustration",
    "prompt_2": "best quality, perfect anime illustration, light",
    "input_video": "https://replicate.delivery/pbxt/LWZYFcMcu731vMwL1yBMlzJPMDgO1jTGXgDkBwDmERU8aRpS/video_test_2%20%28online-video-cutter.com%29.mp4"
  },
  "logs": "Loading models from: models/stable_diffusion/aingdiffusion_v12.safetensors\nmodel_name: sd_text_encoder model_class: SDTextEncoder\nmodel_name: sd_unet model_class: SDUNet\nmodel_name: sd_vae_decoder model_class: SDVAEDecoder\nmodel_name: sd_vae_encoder model_class: SDVAEEncoder\nThe following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder'].\nLoading models from: models/ControlNet/control_v11p_sd15_softedge.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11f1p_sd15_depth.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_softedge.pth.\n/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.\nmodel = create_fn(\nUsing sd_controlnet from models/ControlNet/control_v11f1p_sd15_depth.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nNo sd_motion_modules models available.\nTextual inversion verybadimagenegative_v1.3 is enabled.\n  0%|          | 0/151 [00:00<?, ?it/s]\n  3%|▎         | 5/151 [00:00<00:03, 45.45it/s]\n  8%|▊         | 12/151 [00:00<00:02, 56.05it/s]\n 13%|█▎        | 19/151 [00:00<00:02, 60.98it/s]\n 17%|█▋        | 26/151 [00:00<00:01, 63.08it/s]\n 22%|██▏       | 33/151 [00:00<00:01, 62.90it/s]\n 26%|██▋       | 40/151 [00:00<00:01, 62.54it/s]\n 31%|███       | 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models/ControlNet/control_v11f1e_sd15_tile.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11p_sd15_lineart.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11f1e_sd15_tile.pth.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_lineart.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nUsing sd_motion_modules from models/AnimateDiff/mm_sd_v15_v2.ckpt.\nTextual inversion 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[00:03<00:00, 43.99it/s]",
  "metrics": {
    "predict_time": 1541.141671087,
    "total_time": 1557.066877
  },
  "output": "https://replicate.delivery/yhqm/hxZydjnIN1pYEZbOd7c6rfaAQIM8LpCt2lQlByLAfsKRLNXTA/video.mp4",
  "started_at": "2024-08-28T12:40:44.515206Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ybdjabkgnsrj40chk409tvr7a0",
    "cancel": "https://api.replicate.com/v1/predictions/ybdjabkgnsrj40chk409tvr7a0/cancel"
  },
  "version": "651b11f6dde5b67989f41b5ff862a88ab9077e37a5b1ae6e739ac18e61bc3be9"
}

{
  "completed_at": "2024-08-28T11:42:53.587589Z",
  "created_at": "2024-08-28T11:15:41.243000Z",
  "data_removed": false,
  "error": null,
  "id": "gvjzxgeg7drgm0chk2s9amarj4",
  "input": {
    "prompt": "best quality, perfect anime illustration",
    "prompt_2": "best quality, perfect anime illustration, light",
    "input_video": "https://replicate.delivery/pbxt/LWYFvFloTDGlFuWR1CB1bdeQPeLNvkottC72BkM1QjVuRE18/videoplayback%20%28online-video-cutter.com%29%20%281%29.mp4"
  },
  "logs": "Loading models from: models/stable_diffusion/aingdiffusion_v12.safetensors\nmodel_name: sd_text_encoder model_class: SDTextEncoder\nmodel_name: sd_unet model_class: SDUNet\nmodel_name: sd_vae_decoder model_class: SDVAEDecoder\nmodel_name: sd_vae_encoder model_class: SDVAEEncoder\nThe following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder'].\nLoading models from: models/ControlNet/control_v11p_sd15_softedge.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11f1p_sd15_depth.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_softedge.pth.\n/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.\nmodel = create_fn(\nUsing sd_controlnet from models/ControlNet/control_v11f1p_sd15_depth.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nNo sd_motion_modules models available.\nTextual inversion verybadimagenegative_v1.3 is enabled.\n  0%|          | 0/90 [00:00<?, ?it/s]\n  4%|▍         | 4/90 [00:00<00:02, 37.42it/s]\n 11%|█         | 10/90 [00:00<00:01, 47.63it/s]\n 18%|█▊        | 16/90 [00:00<00:01, 51.53it/s]\n 24%|██▍       | 22/90 [00:00<00:01, 52.23it/s]\n 31%|███       | 28/90 [00:00<00:01, 53.62it/s]\n 38%|███▊      | 34/90 [00:00<00:01, 54.16it/s]\n 44%|████▍     | 40/90 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SDVAEDecoder\nmodel_name: sd_vae_encoder model_class: SDVAEEncoder\nThe following models are loaded: ['sd_text_encoder', 'sd_unet', 'sd_vae_decoder', 'sd_vae_encoder'].\nLoading models from: models/AnimateDiff/mm_sd_v15_v2.ckpt\nmodel_name: sd_motion_modules model_class: SDMotionModel\nThe following models are loaded: ['sd_motion_modules'].\nLoading models from: models/ControlNet/control_v11f1e_sd15_tile.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nLoading models from: models/ControlNet/control_v11p_sd15_lineart.pth\nmodel_name: sd_controlnet model_class: SDControlNet\n    The following models are loaded: ['sd_controlnet'].\nUsing sd_text_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_unet from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_decoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_vae_encoder from models/stable_diffusion/aingdiffusion_v12.safetensors.\nUsing sd_controlnet from models/ControlNet/control_v11f1e_sd15_tile.pth.\nUsing sd_controlnet from models/ControlNet/control_v11p_sd15_lineart.pth.\nNo sd_ipadapter models available.\nNo sd_ipadapter_clip_image_encoder models available.\nUsing sd_motion_modules from models/AnimateDiff/mm_sd_v15_v2.ckpt.\nTextual inversion verybadimagenegative_v1.3 is enabled.\n  0%|          | 0/90 [00:00<?, ?it/s]\n 18%|█▊        | 16/90 [00:00<00:00, 157.83it/s]\n 36%|███▌      | 32/90 [00:00<00:00, 152.42it/s]\n 53%|█████▎    | 48/90 [00:00<00:00, 152.54it/s]\n 71%|███████   | 64/90 [00:00<00:00, 144.11it/s]\n 94%|█████████▍| 85/90 [00:00<00:00, 165.93it/s]\n100%|██████████| 90/90 [00:00<00:00, 161.80it/s]\n  0%|          | 0/90 [00:00<?, ?it/s]\n  2%|▏         | 2/90 [00:00<00:05, 14.80it/s]\n  4%|▍         | 4/90 [00:00<00:05, 16.02it/s]\n  7%|▋         | 6/90 [00:00<00:05, 16.42it/s]\n  9%|▉         | 8/90 [00:00<00:04, 16.44it/s]\n 11%|█    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  "metrics": {
    "predict_time": 1453.136545669,
    "total_time": 1632.344589
  },
  "output": "https://replicate.delivery/pbxt/Z4aI5IWLLIp5NVD1fKyNwXLK26nVvDflchX5zEcuNPf25XumA/video.mp4",
  "started_at": "2024-08-28T11:18:40.451043Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gvjzxgeg7drgm0chk2s9amarj4",
    "cancel": "https://api.replicate.com/v1/predictions/gvjzxgeg7drgm0chk2s9amarj4/cancel"
  },
  "version": "1e60541982c73e4d797b81ac0ef6fe609550fef381896fdf729411487d490ea6"
}