typetext
{
"multisepcific_dir": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multispecific.zip",
"video_path": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multi_people_1080p.mp4"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_eQ7**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run codehappynice/codemusic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"codehappynice/codemusic:448fce2e877bdd3537e89535963eab5f609ceae1855e22255f3d119dd12f86ef",
{
input: {
multisepcific_dir: "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multispecific.zip",
video_path: "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multi_people_1080p.mp4"
}
}
);
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=r8_eQ7**********************************
This is your API token. Keep it to yourself.
import replicate
Run codehappynice/codemusic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"codehappynice/codemusic:448fce2e877bdd3537e89535963eab5f609ceae1855e22255f3d119dd12f86ef",
input={
"multisepcific_dir": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multispecific.zip",
"video_path": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multi_people_1080p.mp4"
}
)
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=r8_eQ7**********************************
This is your API token. Keep it to yourself.
Run codehappynice/codemusic 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": "codehappynice/codemusic:448fce2e877bdd3537e89535963eab5f609ceae1855e22255f3d119dd12f86ef",
"input": {
"multisepcific_dir": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multispecific.zip",
"video_path": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multi_people_1080p.mp4"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "wwsmn0gt3hrgc0cjt92bjgr6d8",
"model": "codehappynice/codemusic",
"version": "448fce2e877bdd3537e89535963eab5f609ceae1855e22255f3d119dd12f86ef",
"input": {
"multisepcific_dir": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multispecific.zip",
"video_path": "https://nicefish.s3.us-east-2.amazonaws.com/nicefish/testfile/multi_people_1080p.mp4"
},
"logs": "ZIP文件已保存到: ./demo_file/multispecific.zip\n文件已解压到: ./demo_file/multispecific\nZIP文件已保存到: ./demo_file/multi_people_1080p.mp4\nApplied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'sdpa_kernel': '0', 'use_tf32': '1', 'prefer_nhwc': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_enable': '0', 'use_ep_level_unified_stream': '0', 'device_id': '0', 'has_user_compute_stream': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'user_compute_stream': '0', 'cudnn_conv_use_max_workspace': '1'}}\nfind model: ./insightface_func/models/antelope/glintr100.onnx recognition\nApplied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'sdpa_kernel': '0', 'use_tf32': '1', 'prefer_nhwc': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_enable': '0', 'use_ep_level_unified_stream': '0', 'device_id': '0', 'has_user_compute_stream': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'user_compute_stream': '0', 'cudnn_conv_use_max_workspace': '1'}}\nfind model: ./insightface_func/models/antelope/scrfd_10g_bnkps.onnx detection\nset det-size: (640, 640)\n['./demo_file/multispecific/SRC_01.png', './demo_file/multispecific/SRC_02.png', './demo_file/multispecific/SRC_03.png']\n['./demo_file/multispecific/DST_01.jpg', './demo_file/multispecific/DST_02.jpg', './demo_file/multispecific/DST_03.jpg']\n(142, 366, 4)\nDownloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /root/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth\n 0%| | 0.00/44.7M [00:00<?, ?B/s]\n 15%|█▍ | 6.50M/44.7M [00:00<00:00, 68.0MB/s]\n 68%|██████▊ | 30.5M/44.7M [00:00<00:00, 176MB/s] \n100%|██████████| 44.7M/44.7M [00:00<00:00, 180MB/s]\n 0%| | 0/594 [00:00<?, ?it/s]\n 0%| | 1/594 [00:02<21:19, 2.16s/it]\n 0%| | 2/594 [00:02<13:27, 1.36s/it]\n 1%| | 3/594 [00:03<10:38, 1.08s/it]\n 1%| | 4/594 [00:04<09:26, 1.04it/s]\n 1%| | 5/594 [00:05<08:39, 1.13it/s]\n 1%| | 6/594 [00:05<08:15, 1.19it/s]\n 1%| | 7/594 [00:06<07:59, 1.23it/s]\n 1%|▏ | 8/594 [00:07<07:58, 1.22it/s]\n 2%|▏ | 9/594 [00:08<07:44, 1.26it/s]\n 2%|▏ | 10/594 [00:09<07:48, 1.25it/s]\n 2%|▏ | 11/594 [00:10<09:28, 1.03it/s]\n 2%|▏ | 12/594 [00:11<09:50, 1.01s/it]\n 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now=None]\nt: 97%|█████████▋| 580/595 [00:18<00:00, 36.10it/s, now=None]\nt: 98%|█████████▊| 584/595 [00:18<00:00, 36.97it/s, now=None]\nt: 99%|█████████▉| 588/595 [00:18<00:00, 36.99it/s, now=None]\nt: 99%|█████████▉| 592/595 [00:18<00:00, 34.12it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmp0muo6_46/output.mp4\ndelete video success\ndelete multisepcific_dir success\ndelete temp_path success",
"output": "https://replicate.delivery/czjl/aZPNbGZ2jYo7KFS59CW8ri8Ubr9CGyNza9pT9jg2NHwvB06E/output.mp4",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-10-28T08:35:31.484Z",
"started_at": "2024-10-28T08:38:28.602031Z",
"completed_at": "2024-10-28T08:48:00.04162Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/wwsmn0gt3hrgc0cjt92bjgr6d8/cancel",
"get": "https://api.replicate.com/v1/predictions/wwsmn0gt3hrgc0cjt92bjgr6d8",
"web": "https://replicate.com/p/wwsmn0gt3hrgc0cjt92bjgr6d8"
},
"metrics": {
"predict_time": 571.439588623,
"total_time": 748.55762
}
}