Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
chenxwh /diffsynth-exvideo:b3b0e929
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run chenxwh/diffsynth-exvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
{
input: {
prompt: "a beautiful coastal beach in spring, waves lapping on sand",
num_frames: 128,
negative_prompt: "错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,",
num_inference_steps: 25,
num_inference_steps_upscale_video: 25
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run chenxwh/diffsynth-exvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
input={
"prompt": "a beautiful coastal beach in spring, waves lapping on sand",
"num_frames": 128,
"negative_prompt": "错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,",
"num_inference_steps": 25,
"num_inference_steps_upscale_video": 25
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run chenxwh/diffsynth-exvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
"input": {
"prompt": "a beautiful coastal beach in spring, waves lapping on sand",
"num_frames": 128,
"negative_prompt": "错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,",
"num_inference_steps": 25,
"num_inference_steps_upscale_video": 25
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2024-07-01T00:52:36.056197Z",
"created_at": "2024-07-01T00:41:25.796000Z",
"data_removed": false,
"error": null,
"id": "x8sp6kaa4hrgg0cgdeytz8mwv4",
"input": {
"prompt": "a beautiful coastal beach in spring, waves lapping on sand",
"num_frames": 128,
"negative_prompt": "错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,",
"num_inference_steps": 25,
"num_inference_steps_upscale_video": 25
},
"logs": "Using seed: 43627\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:07, 3.35it/s]\n 8%|▊ | 2/25 [00:00<00:07, 3.07it/s]\n 12%|█▏ | 3/25 [00:00<00:07, 2.99it/s]\n 16%|█▌ | 4/25 [00:01<00:07, 2.95it/s]\n 20%|██ | 5/25 [00:01<00:06, 2.93it/s]\n 24%|██▍ | 6/25 [00:02<00:06, 2.92it/s]\n 28%|██▊ | 7/25 [00:02<00:06, 2.91it/s]\n 32%|███▏ | 8/25 [00:02<00:05, 2.90it/s]\n 36%|███▌ | 9/25 [00:03<00:05, 2.90it/s]\n 40%|████ | 10/25 [00:03<00:05, 2.90it/s]\n 44%|████▍ | 11/25 [00:03<00:04, 2.90it/s]\n 48%|████▊ | 12/25 [00:04<00:04, 2.90it/s]\n 52%|█████▏ | 13/25 [00:04<00:04, 2.90it/s]\n 56%|█████▌ | 14/25 [00:04<00:03, 2.90it/s]\n 60%|██████ | 15/25 [00:05<00:03, 2.90it/s]\n 64%|██████▍ | 16/25 [00:05<00:03, 2.89it/s]\n 68%|██████▊ | 17/25 [00:05<00:02, 2.89it/s]\n 72%|███████▏ | 18/25 [00:06<00:02, 2.89it/s]\n 76%|███████▌ | 19/25 [00:06<00:02, 2.89it/s]\n 80%|████████ | 20/25 [00:06<00:01, 2.89it/s]\n 84%|████████▍ | 21/25 [00:07<00:01, 2.89it/s]\n 88%|████████▊ | 22/25 [00:07<00:01, 2.89it/s]\n 92%|█████████▏| 23/25 [00:07<00:00, 2.89it/s]\n 96%|█████████▌| 24/25 [00:08<00:00, 2.89it/s]\n100%|██████████| 25/25 [00:08<00:00, 2.89it/s]\n100%|██████████| 25/25 [00:08<00:00, 2.91it/s]\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:03<01:32, 3.83s/it]\n 8%|▊ | 2/25 [00:07<01:29, 3.89s/it]\n 12%|█▏ | 3/25 [00:11<01:25, 3.91s/it]\n 16%|█▌ | 4/25 [00:15<01:22, 3.92s/it]\n 20%|██ | 5/25 [00:19<01:18, 3.92s/it]\n 24%|██▍ | 6/25 [00:23<01:14, 3.93s/it]\n 28%|██▊ | 7/25 [00:27<01:10, 3.94s/it]\n 32%|███▏ | 8/25 [00:31<01:07, 3.94s/it]\n 36%|███▌ | 9/25 [00:35<01:03, 3.94s/it]\n 40%|████ | 10/25 [00:39<00:59, 3.95s/it]\n 44%|████▍ | 11/25 [00:43<00:55, 3.95s/it]\n 48%|████▊ | 12/25 [00:47<00:51, 3.95s/it]\n 52%|█████▏ | 13/25 [00:51<00:47, 3.95s/it]\n 56%|█████▌ | 14/25 [00:55<00:43, 3.95s/it]\n 60%|██████ | 15/25 [00:59<00:39, 3.96s/it]\n 64%|██████▍ | 16/25 [01:03<00:35, 3.96s/it]\n 68%|██████▊ | 17/25 [01:07<00:31, 3.96s/it]\n 72%|███████▏ | 18/25 [01:10<00:27, 3.96s/it]\n 76%|███████▌ | 19/25 [01:14<00:23, 3.96s/it]\n 80%|████████ | 20/25 [01:18<00:19, 3.96s/it]\n 84%|████████▍ | 21/25 [01:22<00:15, 3.96s/it]\n 88%|████████▊ | 22/25 [01:26<00:11, 3.96s/it]\n 92%|█████████▏| 23/25 [01:30<00:07, 3.96s/it]\n 96%|█████████▌| 24/25 [01:34<00:03, 3.96s/it]\n100%|██████████| 25/25 [01:38<00:00, 3.96s/it]\n100%|██████████| 25/25 [01:38<00:00, 3.95s/it]\n 0%| | 0/31 [00:00<?, ?it/s]\n 3%|▎ | 1/31 [00:00<00:14, 2.11it/s]\n 6%|▋ | 2/31 [00:00<00:12, 2.36it/s]\n 10%|▉ | 3/31 [00:01<00:11, 2.46it/s]\n 13%|█▎ | 4/31 [00:01<00:10, 2.51it/s]\n 16%|█▌ | 5/31 [00:02<00:10, 2.53it/s]\n 19%|█▉ | 6/31 [00:02<00:09, 2.55it/s]\n 23%|██▎ | 7/31 [00:02<00:09, 2.56it/s]\n 26%|██▌ | 8/31 [00:03<00:08, 2.57it/s]\n 29%|██▉ | 9/31 [00:03<00:08, 2.57it/s]\n 32%|███▏ | 10/31 [00:03<00:08, 2.57it/s]\n 35%|███▌ | 11/31 [00:04<00:07, 2.58it/s]\n 39%|███▊ | 12/31 [00:04<00:07, 2.58it/s]\n 42%|████▏ | 13/31 [00:05<00:06, 2.58it/s]\n 45%|████▌ | 14/31 [00:05<00:06, 2.58it/s]\n 48%|████▊ | 15/31 [00:05<00:06, 2.58it/s]\n 52%|█████▏ | 16/31 [00:06<00:05, 2.58it/s]\n 55%|█████▍ | 17/31 [00:06<00:05, 2.58it/s]\n 58%|█████▊ | 18/31 [00:07<00:05, 2.58it/s]\n 61%|██████▏ | 19/31 [00:07<00:04, 2.58it/s]\n 65%|██████▍ | 20/31 [00:07<00:04, 2.58it/s]\n 68%|██████▊ | 21/31 [00:08<00:03, 2.58it/s]\n 71%|███████ | 22/31 [00:08<00:03, 2.58it/s]\n 74%|███████▍ | 23/31 [00:08<00:03, 2.58it/s]\n 77%|███████▋ | 24/31 [00:09<00:02, 2.58it/s]\n 81%|████████ | 25/31 [00:09<00:02, 2.58it/s]\n 84%|████████▍ | 26/31 [00:10<00:01, 2.58it/s]\n 87%|████████▋ | 27/31 [00:10<00:01, 2.58it/s]\n 90%|█████████ | 28/31 [00:10<00:01, 2.58it/s]\n 94%|█████████▎| 29/31 [00:11<00:00, 2.58it/s]\n 97%|█████████▋| 30/31 [00:11<00:00, 2.58it/s]\n100%|██████████| 31/31 [00:12<00:00, 2.58it/s]\n100%|██████████| 31/31 [00:12<00:00, 2.56it/s]\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:18<07:28, 18.70s/it]\n 8%|▊ | 2/25 [00:37<07:15, 18.94s/it]\n 12%|█▏ | 3/25 [00:56<06:58, 19.02s/it]\n 16%|█▌ | 4/25 [01:16<06:40, 19.05s/it]\n 20%|██ | 5/25 [01:35<06:21, 19.07s/it]\n 24%|██▍ | 6/25 [01:54<06:02, 19.08s/it]\n 28%|██▊ | 7/25 [02:13<05:43, 19.09s/it]\n 32%|███▏ | 8/25 [02:32<05:24, 19.09s/it]\n 36%|███▌ | 9/25 [02:51<05:05, 19.10s/it]\n 40%|████ | 10/25 [03:10<04:46, 19.10s/it]\n 44%|████▍ | 11/25 [03:29<04:27, 19.10s/it]\n 48%|████▊ | 12/25 [03:48<04:08, 19.11s/it]\n 52%|█████▏ | 13/25 [04:07<03:49, 19.11s/it]\n 56%|█████▌ | 14/25 [04:27<03:30, 19.10s/it]\n 60%|██████ | 15/25 [04:46<03:11, 19.11s/it]\n 64%|██████▍ | 16/25 [05:05<02:51, 19.11s/it]\n 68%|██████▊ | 17/25 [05:24<02:32, 19.11s/it]\n 72%|███████▏ | 18/25 [05:43<02:13, 19.11s/it]\n 76%|███████▌ | 19/25 [06:02<01:54, 19.11s/it]\n 80%|████████ | 20/25 [06:21<01:35, 19.10s/it]\n 84%|████████▍ | 21/25 [06:40<01:16, 19.10s/it]\n 88%|████████▊ | 22/25 [06:59<00:57, 19.10s/it]\n 92%|█████████▏| 23/25 [07:19<00:38, 19.10s/it]\n 96%|█████████▌| 24/25 [07:38<00:19, 19.10s/it]\n100%|██████████| 25/25 [07:57<00:00, 19.09s/it]\n100%|██████████| 25/25 [07:57<00:00, 19.09s/it]\n 0%| | 0/31 [00:00<?, ?it/s]\n 3%|▎ | 1/31 [00:02<01:00, 2.02s/it]\n 6%|▋ | 2/31 [00:03<00:51, 1.79s/it]\n 10%|▉ | 3/31 [00:05<00:48, 1.71s/it]\n 13%|█▎ | 4/31 [00:06<00:45, 1.68s/it]\n 16%|█▌ | 5/31 [00:08<00:43, 1.66s/it]\n 19%|█▉ | 6/31 [00:10<00:41, 1.65s/it]\n 23%|██▎ | 7/31 [00:11<00:39, 1.64s/it]\n 26%|██▌ | 8/31 [00:13<00:37, 1.63s/it]\n 29%|██▉ | 9/31 [00:15<00:35, 1.63s/it]\n 32%|███▏ | 10/31 [00:16<00:34, 1.63s/it]\n 35%|███▌ | 11/31 [00:18<00:32, 1.63s/it]\n 39%|███▊ | 12/31 [00:19<00:30, 1.63s/it]\n 42%|████▏ | 13/31 [00:21<00:29, 1.63s/it]\n 45%|████▌ | 14/31 [00:23<00:27, 1.63s/it]\n 48%|████▊ | 15/31 [00:24<00:25, 1.62s/it]\n 52%|█████▏ | 16/31 [00:26<00:24, 1.63s/it]\n 55%|█████▍ | 17/31 [00:28<00:22, 1.62s/it]\n 58%|█████▊ | 18/31 [00:29<00:21, 1.62s/it]\n 61%|██████▏ | 19/31 [00:31<00:19, 1.62s/it]\n 65%|██████▍ | 20/31 [00:32<00:17, 1.62s/it]\n 68%|██████▊ | 21/31 [00:34<00:16, 1.62s/it]\n 71%|███████ | 22/31 [00:36<00:14, 1.62s/it]\n 74%|███████▍ | 23/31 [00:37<00:12, 1.62s/it]\n 77%|███████▋ | 24/31 [00:39<00:11, 1.62s/it]\n 81%|████████ | 25/31 [00:41<00:09, 1.62s/it]\n 84%|████████▍ | 26/31 [00:42<00:08, 1.62s/it]\n 87%|████████▋ | 27/31 [00:44<00:06, 1.62s/it]\n 90%|█████████ | 28/31 [00:45<00:04, 1.62s/it]\n 94%|█████████▎| 29/31 [00:47<00:03, 1.62s/it]\n 97%|█████████▋| 30/31 [00:49<00:01, 1.62s/it]\n100%|██████████| 31/31 [00:50<00:00, 1.62s/it]\n100%|██████████| 31/31 [00:50<00:00, 1.64s/it]\nSaving video: 0%| | 0/128 [00:00<?, ?it/s]\nSaving video: 1%| | 1/128 [00:00<00:24, 5.10it/s]\nSaving video: 37%|███▋ | 47/128 [00:00<00:00, 193.02it/s]\nSaving video: 58%|█████▊ | 74/128 [00:00<00:00, 208.32it/s]\nSaving video: 77%|███████▋ | 99/128 [00:00<00:00, 199.23it/s]\nSaving video: 95%|█████████▌| 122/128 [00:00<00:00, 195.02it/s]\nSaving video: 100%|██████████| 128/128 [00:00<00:00, 180.57it/s]\nSaving video: 0%| | 0/128 [00:00<?, ?it/s]\nSaving video: 1%| | 1/128 [00:00<00:20, 6.33it/s]\nSaving video: 12%|█▏ | 15/128 [00:00<00:01, 68.32it/s]\nSaving video: 26%|██▌ | 33/128 [00:00<00:00, 111.05it/s]\nSaving video: 37%|███▋ | 47/128 [00:00<00:00, 97.93it/s] \nSaving video: 45%|████▌ | 58/128 [00:00<00:00, 101.25it/s]\nSaving video: 54%|█████▍ | 69/128 [00:00<00:00, 69.44it/s] \nSaving video: 61%|██████ | 78/128 [00:01<00:00, 58.36it/s]\nSaving video: 67%|██████▋ | 86/128 [00:01<00:00, 58.53it/s]\nSaving video: 73%|███████▎ | 93/128 [00:01<00:00, 56.30it/s]\nSaving video: 78%|███████▊ | 100/128 [00:01<00:00, 52.01it/s]\nSaving video: 83%|████████▎ | 106/128 [00:01<00:00, 49.11it/s]\nSaving video: 88%|████████▊ | 112/128 [00:01<00:00, 50.86it/s]\nSaving video: 93%|█████████▎| 119/128 [00:01<00:00, 49.06it/s]\nSaving video: 98%|█████████▊| 125/128 [00:02<00:00, 47.79it/s]\nSaving video: 100%|██████████| 128/128 [00:02<00:00, 57.61it/s]",
"metrics": {
"predict_time": 670.225983993,
"total_time": 670.260197
},
"output": {
"image": "https://replicate.delivery/pbxt/TFlGM0ef42tAm0HGkX70fdp2SvsL5BT2fUri7f8q6V7P6XfwE/image.png",
"video": "https://replicate.delivery/pbxt/JAPcWeqJ6a2PUCurg1S83MlBsiP6DsCGFfeVElefir8T6XfwE/video_512.mp4",
"upscale_video": "https://replicate.delivery/pbxt/KIFIMjQieoymEyqGf3jUYqvK8KoSDIygfO0IcCZwWCsnerPMB/video_1024.mp4"
},
"started_at": "2024-07-01T00:41:25.830213Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/x8sp6kaa4hrgg0cgdeytz8mwv4",
"cancel": "https://api.replicate.com/v1/predictions/x8sp6kaa4hrgg0cgdeytz8mwv4/cancel"
},
"version": "b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783"
}
Using seed: 43627
0%| | 0/25 [00:00<?, ?it/s]
4%|▍ | 1/25 [00:00<00:07, 3.35it/s]
8%|▊ | 2/25 [00:00<00:07, 3.07it/s]
12%|█▏ | 3/25 [00:00<00:07, 2.99it/s]
16%|█▌ | 4/25 [00:01<00:07, 2.95it/s]
20%|██ | 5/25 [00:01<00:06, 2.93it/s]
24%|██▍ | 6/25 [00:02<00:06, 2.92it/s]
28%|██▊ | 7/25 [00:02<00:06, 2.91it/s]
32%|███▏ | 8/25 [00:02<00:05, 2.90it/s]
36%|███▌ | 9/25 [00:03<00:05, 2.90it/s]
40%|████ | 10/25 [00:03<00:05, 2.90it/s]
44%|████▍ | 11/25 [00:03<00:04, 2.90it/s]
48%|████▊ | 12/25 [00:04<00:04, 2.90it/s]
52%|█████▏ | 13/25 [00:04<00:04, 2.90it/s]
56%|█████▌ | 14/25 [00:04<00:03, 2.90it/s]
60%|██████ | 15/25 [00:05<00:03, 2.90it/s]
64%|██████▍ | 16/25 [00:05<00:03, 2.89it/s]
68%|██████▊ | 17/25 [00:05<00:02, 2.89it/s]
72%|███████▏ | 18/25 [00:06<00:02, 2.89it/s]
76%|███████▌ | 19/25 [00:06<00:02, 2.89it/s]
80%|████████ | 20/25 [00:06<00:01, 2.89it/s]
84%|████████▍ | 21/25 [00:07<00:01, 2.89it/s]
88%|████████▊ | 22/25 [00:07<00:01, 2.89it/s]
92%|█████████▏| 23/25 [00:07<00:00, 2.89it/s]
96%|█████████▌| 24/25 [00:08<00:00, 2.89it/s]
100%|██████████| 25/25 [00:08<00:00, 2.89it/s]
100%|██████████| 25/25 [00:08<00:00, 2.91it/s]
0%| | 0/25 [00:00<?, ?it/s]
4%|▍ | 1/25 [00:03<01:32, 3.83s/it]
8%|▊ | 2/25 [00:07<01:29, 3.89s/it]
12%|█▏ | 3/25 [00:11<01:25, 3.91s/it]
16%|█▌ | 4/25 [00:15<01:22, 3.92s/it]
20%|██ | 5/25 [00:19<01:18, 3.92s/it]
24%|██▍ | 6/25 [00:23<01:14, 3.93s/it]
28%|██▊ | 7/25 [00:27<01:10, 3.94s/it]
32%|███▏ | 8/25 [00:31<01:07, 3.94s/it]
36%|███▌ | 9/25 [00:35<01:03, 3.94s/it]
40%|████ | 10/25 [00:39<00:59, 3.95s/it]
44%|████▍ | 11/25 [00:43<00:55, 3.95s/it]
48%|████▊ | 12/25 [00:47<00:51, 3.95s/it]
52%|█████▏ | 13/25 [00:51<00:47, 3.95s/it]
56%|█████▌ | 14/25 [00:55<00:43, 3.95s/it]
60%|██████ | 15/25 [00:59<00:39, 3.96s/it]
64%|██████▍ | 16/25 [01:03<00:35, 3.96s/it]
68%|██████▊ | 17/25 [01:07<00:31, 3.96s/it]
72%|███████▏ | 18/25 [01:10<00:27, 3.96s/it]
76%|███████▌ | 19/25 [01:14<00:23, 3.96s/it]
80%|████████ | 20/25 [01:18<00:19, 3.96s/it]
84%|████████▍ | 21/25 [01:22<00:15, 3.96s/it]
88%|████████▊ | 22/25 [01:26<00:11, 3.96s/it]
92%|█████████▏| 23/25 [01:30<00:07, 3.96s/it]
96%|█████████▌| 24/25 [01:34<00:03, 3.96s/it]
100%|██████████| 25/25 [01:38<00:00, 3.96s/it]
100%|██████████| 25/25 [01:38<00:00, 3.95s/it]
0%| | 0/31 [00:00<?, ?it/s]
3%|▎ | 1/31 [00:00<00:14, 2.11it/s]
6%|▋ | 2/31 [00:00<00:12, 2.36it/s]
10%|▉ | 3/31 [00:01<00:11, 2.46it/s]
13%|█▎ | 4/31 [00:01<00:10, 2.51it/s]
16%|█▌ | 5/31 [00:02<00:10, 2.53it/s]
19%|█▉ | 6/31 [00:02<00:09, 2.55it/s]
23%|██▎ | 7/31 [00:02<00:09, 2.56it/s]
26%|██▌ | 8/31 [00:03<00:08, 2.57it/s]
29%|██▉ | 9/31 [00:03<00:08, 2.57it/s]
32%|███▏ | 10/31 [00:03<00:08, 2.57it/s]
35%|███▌ | 11/31 [00:04<00:07, 2.58it/s]
39%|███▊ | 12/31 [00:04<00:07, 2.58it/s]
42%|████▏ | 13/31 [00:05<00:06, 2.58it/s]
45%|████▌ | 14/31 [00:05<00:06, 2.58it/s]
48%|████▊ | 15/31 [00:05<00:06, 2.58it/s]
52%|█████▏ | 16/31 [00:06<00:05, 2.58it/s]
55%|█████▍ | 17/31 [00:06<00:05, 2.58it/s]
58%|█████▊ | 18/31 [00:07<00:05, 2.58it/s]
61%|██████▏ | 19/31 [00:07<00:04, 2.58it/s]
65%|██████▍ | 20/31 [00:07<00:04, 2.58it/s]
68%|██████▊ | 21/31 [00:08<00:03, 2.58it/s]
71%|███████ | 22/31 [00:08<00:03, 2.58it/s]
74%|███████▍ | 23/31 [00:08<00:03, 2.58it/s]
77%|███████▋ | 24/31 [00:09<00:02, 2.58it/s]
81%|████████ | 25/31 [00:09<00:02, 2.58it/s]
84%|████████▍ | 26/31 [00:10<00:01, 2.58it/s]
87%|████████▋ | 27/31 [00:10<00:01, 2.58it/s]
90%|█████████ | 28/31 [00:10<00:01, 2.58it/s]
94%|█████████▎| 29/31 [00:11<00:00, 2.58it/s]
97%|█████████▋| 30/31 [00:11<00:00, 2.58it/s]
100%|██████████| 31/31 [00:12<00:00, 2.58it/s]
100%|██████████| 31/31 [00:12<00:00, 2.56it/s]
0%| | 0/25 [00:00<?, ?it/s]
4%|▍ | 1/25 [00:18<07:28, 18.70s/it]
8%|▊ | 2/25 [00:37<07:15, 18.94s/it]
12%|█▏ | 3/25 [00:56<06:58, 19.02s/it]
16%|█▌ | 4/25 [01:16<06:40, 19.05s/it]
20%|██ | 5/25 [01:35<06:21, 19.07s/it]
24%|██▍ | 6/25 [01:54<06:02, 19.08s/it]
28%|██▊ | 7/25 [02:13<05:43, 19.09s/it]
32%|███▏ | 8/25 [02:32<05:24, 19.09s/it]
36%|███▌ | 9/25 [02:51<05:05, 19.10s/it]
40%|████ | 10/25 [03:10<04:46, 19.10s/it]
44%|████▍ | 11/25 [03:29<04:27, 19.10s/it]
48%|████▊ | 12/25 [03:48<04:08, 19.11s/it]
52%|█████▏ | 13/25 [04:07<03:49, 19.11s/it]
56%|█████▌ | 14/25 [04:27<03:30, 19.10s/it]
60%|██████ | 15/25 [04:46<03:11, 19.11s/it]
64%|██████▍ | 16/25 [05:05<02:51, 19.11s/it]
68%|██████▊ | 17/25 [05:24<02:32, 19.11s/it]
72%|███████▏ | 18/25 [05:43<02:13, 19.11s/it]
76%|███████▌ | 19/25 [06:02<01:54, 19.11s/it]
80%|████████ | 20/25 [06:21<01:35, 19.10s/it]
84%|████████▍ | 21/25 [06:40<01:16, 19.10s/it]
88%|████████▊ | 22/25 [06:59<00:57, 19.10s/it]
92%|█████████▏| 23/25 [07:19<00:38, 19.10s/it]
96%|█████████▌| 24/25 [07:38<00:19, 19.10s/it]
100%|██████████| 25/25 [07:57<00:00, 19.09s/it]
100%|██████████| 25/25 [07:57<00:00, 19.09s/it]
0%| | 0/31 [00:00<?, ?it/s]
3%|▎ | 1/31 [00:02<01:00, 2.02s/it]
6%|▋ | 2/31 [00:03<00:51, 1.79s/it]
10%|▉ | 3/31 [00:05<00:48, 1.71s/it]
13%|█▎ | 4/31 [00:06<00:45, 1.68s/it]
16%|█▌ | 5/31 [00:08<00:43, 1.66s/it]
19%|█▉ | 6/31 [00:10<00:41, 1.65s/it]
23%|██▎ | 7/31 [00:11<00:39, 1.64s/it]
26%|██▌ | 8/31 [00:13<00:37, 1.63s/it]
29%|██▉ | 9/31 [00:15<00:35, 1.63s/it]
32%|███▏ | 10/31 [00:16<00:34, 1.63s/it]
35%|███▌ | 11/31 [00:18<00:32, 1.63s/it]
39%|███▊ | 12/31 [00:19<00:30, 1.63s/it]
42%|████▏ | 13/31 [00:21<00:29, 1.63s/it]
45%|████▌ | 14/31 [00:23<00:27, 1.63s/it]
48%|████▊ | 15/31 [00:24<00:25, 1.62s/it]
52%|█████▏ | 16/31 [00:26<00:24, 1.63s/it]
55%|█████▍ | 17/31 [00:28<00:22, 1.62s/it]
58%|█████▊ | 18/31 [00:29<00:21, 1.62s/it]
61%|██████▏ | 19/31 [00:31<00:19, 1.62s/it]
65%|██████▍ | 20/31 [00:32<00:17, 1.62s/it]
68%|██████▊ | 21/31 [00:34<00:16, 1.62s/it]
71%|███████ | 22/31 [00:36<00:14, 1.62s/it]
74%|███████▍ | 23/31 [00:37<00:12, 1.62s/it]
77%|███████▋ | 24/31 [00:39<00:11, 1.62s/it]
81%|████████ | 25/31 [00:41<00:09, 1.62s/it]
84%|████████▍ | 26/31 [00:42<00:08, 1.62s/it]
87%|████████▋ | 27/31 [00:44<00:06, 1.62s/it]
90%|█████████ | 28/31 [00:45<00:04, 1.62s/it]
94%|█████████▎| 29/31 [00:47<00:03, 1.62s/it]
97%|█████████▋| 30/31 [00:49<00:01, 1.62s/it]
100%|██████████| 31/31 [00:50<00:00, 1.62s/it]
100%|██████████| 31/31 [00:50<00:00, 1.64s/it]
Saving video: 0%| | 0/128 [00:00<?, ?it/s]
Saving video: 1%| | 1/128 [00:00<00:24, 5.10it/s]
Saving video: 37%|███▋ | 47/128 [00:00<00:00, 193.02it/s]
Saving video: 58%|█████▊ | 74/128 [00:00<00:00, 208.32it/s]
Saving video: 77%|███████▋ | 99/128 [00:00<00:00, 199.23it/s]
Saving video: 95%|█████████▌| 122/128 [00:00<00:00, 195.02it/s]
Saving video: 100%|██████████| 128/128 [00:00<00:00, 180.57it/s]
Saving video: 0%| | 0/128 [00:00<?, ?it/s]
Saving video: 1%| | 1/128 [00:00<00:20, 6.33it/s]
Saving video: 12%|█▏ | 15/128 [00:00<00:01, 68.32it/s]
Saving video: 26%|██▌ | 33/128 [00:00<00:00, 111.05it/s]
Saving video: 37%|███▋ | 47/128 [00:00<00:00, 97.93it/s]
Saving video: 45%|████▌ | 58/128 [00:00<00:00, 101.25it/s]
Saving video: 54%|█████▍ | 69/128 [00:00<00:00, 69.44it/s]
Saving video: 61%|██████ | 78/128 [00:01<00:00, 58.36it/s]
Saving video: 67%|██████▋ | 86/128 [00:01<00:00, 58.53it/s]
Saving video: 73%|███████▎ | 93/128 [00:01<00:00, 56.30it/s]
Saving video: 78%|███████▊ | 100/128 [00:01<00:00, 52.01it/s]
Saving video: 83%|████████▎ | 106/128 [00:01<00:00, 49.11it/s]
Saving video: 88%|████████▊ | 112/128 [00:01<00:00, 50.86it/s]
Saving video: 93%|█████████▎| 119/128 [00:01<00:00, 49.06it/s]
Saving video: 98%|█████████▊| 125/128 [00:02<00:00, 47.79it/s]
Saving video: 100%|██████████| 128/128 [00:02<00:00, 57.61it/s]