typefile
{
"n_timesteps": 900,
"negative_prompt": "bad quality, distortions, unrealistic, distorted image, watermark, signature",
"target_prompt": "Amazing quality, masterpiece, A motorbike driving in a forest",
"video": "https://replicate.delivery/pbxt/K7P4ZdV95HbR4aEof8ihr2j7UVWeFxHfoMWTG7H16gCy62Jf/demo.mp4",
"video_prompt": "Amazing quality, masterpiece, A locomotive rides in a forest"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Bqq**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run lucataco/diffusion-motion-transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/diffusion-motion-transfer:6bc872d3b943a49517b30192852477de7bea271e9abb76e726704ab4d6ae6eb3",
{
input: {
n_timesteps: 900,
negative_prompt: "bad quality, distortions, unrealistic, distorted image, watermark, signature",
target_prompt: "Amazing quality, masterpiece, A motorbike driving in a forest",
video: "https://replicate.delivery/pbxt/K7P4ZdV95HbR4aEof8ihr2j7UVWeFxHfoMWTG7H16gCy62Jf/demo.mp4",
video_prompt: "Amazing quality, masterpiece, A locomotive rides in a forest"
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", 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_Bqq**********************************
This is your API token. Keep it to yourself.
import replicate
Run lucataco/diffusion-motion-transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/diffusion-motion-transfer:6bc872d3b943a49517b30192852477de7bea271e9abb76e726704ab4d6ae6eb3",
input={
"n_timesteps": 900,
"negative_prompt": "bad quality, distortions, unrealistic, distorted image, watermark, signature",
"target_prompt": "Amazing quality, masterpiece, A motorbike driving in a forest",
"video": "https://replicate.delivery/pbxt/K7P4ZdV95HbR4aEof8ihr2j7UVWeFxHfoMWTG7H16gCy62Jf/demo.mp4",
"video_prompt": "Amazing quality, masterpiece, A locomotive rides in a forest"
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Bqq**********************************
This is your API token. Keep it to yourself.
Run lucataco/diffusion-motion-transfer 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": "lucataco/diffusion-motion-transfer:6bc872d3b943a49517b30192852477de7bea271e9abb76e726704ab4d6ae6eb3",
"input": {
"n_timesteps": 900,
"negative_prompt": "bad quality, distortions, unrealistic, distorted image, watermark, signature",
"target_prompt": "Amazing quality, masterpiece, A motorbike driving in a forest",
"video": "https://replicate.delivery/pbxt/K7P4ZdV95HbR4aEof8ihr2j7UVWeFxHfoMWTG7H16gCy62Jf/demo.mp4",
"video_prompt": "Amazing quality, masterpiece, A locomotive rides in a forest"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "kzt5qibbkfykg2eeddkqxuyrha",
"model": "lucataco/diffusion-motion-transfer",
"version": "6bc872d3b943a49517b30192852477de7bea271e9abb76e726704ab4d6ae6eb3",
"input": {
"n_timesteps": 900,
"negative_prompt": "bad quality, distortions, unrealistic, distorted image, watermark, signature",
"target_prompt": "Amazing quality, masterpiece, A motorbike driving in a forest",
"video": "https://replicate.delivery/pbxt/K7P4ZdV95HbR4aEof8ihr2j7UVWeFxHfoMWTG7H16gCy62Jf/demo.mp4",
"video_prompt": "Amazing quality, masterpiece, A locomotive rides in a forest"
},
"logs": "Using seed: 1676666084\nConverting input video to images\nffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\nbuilt with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 70.100 / 56. 70.100\nlibavcodec 58.134.100 / 58.134.100\nlibavformat 58. 76.100 / 58. 76.100\nlibavdevice 58. 13.100 / 58. 13.100\nlibavfilter 7.110.100 / 7.110.100\nlibswscale 5. 9.100 / 5. 9.100\nlibswresample 3. 9.100 / 3. 9.100\nlibpostproc 55. 9.100 / 55. 9.100\nInput #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/tmp0hgv5r3xdemo.mp4':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf60.3.100\nDuration: 00:00:01.00, start: 0.000000, bitrate: 1373 kb/s\nStream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 576x320, 1364 kb/s, 24 fps, 24 tbr, 12288 tbn, 48 tbc (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc60.3.100 libx264\nStream mapping:\nStream #0:0 -> #0:0 (h264 (native) -> png (native))\nPress [q] to stop, [?] for help\nOutput #0, image2, to 'data/input/%05d.png':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf58.76.100\nStream #0:0(und): Video: png, rgb24(pc, gbr/unknown/unknown, progressive), 576x320, q=2-31, 200 kb/s, 24 fps, 24 tbn (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc58.134.100 png\nframe= 1 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed= 0x\nframe= 24 fps=0.0 q=-0.0 Lsize=N/A time=00:00:01.00 bitrate=N/A speed=12.5x\nvideo:10050kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown\nRunning preprocessor script\nLoading video model\ntext_encoder/model.safetensors not found\nLoading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s]\nLoading pipeline components...: 20%|██ | 1/5 [00:02<00:10, 2.70s/it]\nLoading pipeline components...: 40%|████ | 2/5 [00:02<00:03, 1.26s/it]\nLoading pipeline components...: 80%|████████ | 4/5 [00:03<00:00, 1.90it/s]\nLoading pipeline components...: 100%|██████████| 5/5 [00:04<00:00, 1.42it/s]\nLoading pipeline components...: 100%|██████████| 5/5 [00:04<00:00, 1.18it/s]\nvideo model loaded\n/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/torchvision/io/video.py:83: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:245.)\nvideo_array = torch.as_tensor(video_array, dtype=torch.uint8).numpy()\n 0%| | 0/900 [00:00<?, ?it/s]\n 0%| | 1/900 [00:01<19:54, 1.33s/it]\n 0%| | 2/900 [00:01<11:07, 1.35it/s]\n 0%| | 3/900 [00:01<08:18, 1.80it/s]\n 0%| | 4/900 [00:02<06:59, 2.14it/s]\n 1%| | 5/900 [00:02<06:15, 2.39it/s]\n 1%| | 6/900 [00:02<05:48, 2.56it/s]\n 1%| | 7/900 [00:03<05:31, 2.69it/s]\n 1%| | 8/900 [00:03<05:20, 2.78it/s]\n 1%| | 9/900 [00:03<05:12, 2.85it/s]\n 1%| | 10/900 [00:04<05:07, 2.90it/s]\n 1%| | 11/900 [00:04<05:03, 2.93it/s]\n 1%|▏ | 12/900 [00:04<05:01, 2.95it/s]\n 1%|▏ | 13/900 [00:05<04:59, 2.96it/s]\n 2%|▏ | 14/900 [00:05<04:57, 2.97it/s]\n 2%|▏ | 15/900 [00:05<04:57, 2.98it/s]\n 2%|▏ | 16/900 [00:06<04:56, 2.99it/s]\n 2%|▏ | 17/900 [00:06<04:55, 2.99it/s]\n 2%|▏ | 18/900 [00:06<04:54, 2.99it/s]\n 2%|▏ | 19/900 [00:07<04:54, 3.00it/s]\n 2%|▏ | 20/900 [00:07<04:53, 3.00it/s]\n 2%|▏ | 21/900 [00:07<04:52, 3.00it/s]\n 2%|▏ | 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[02:40<00:33, 1.70s/it]\nSampling: 62%|██████▏ | 31/50 [02:41<00:30, 1.63s/it]\nSampling: 64%|██████▍ | 32/50 [02:43<00:28, 1.59s/it]\nSampling: 66%|██████▌ | 33/50 [02:44<00:26, 1.56s/it]\nSampling: 68%|██████▊ | 34/50 [02:46<00:24, 1.53s/it]\nSampling: 70%|███████ | 35/50 [02:47<00:22, 1.52s/it]\nSampling: 72%|███████▏ | 36/50 [02:49<00:21, 1.51s/it]\nSampling: 74%|███████▍ | 37/50 [02:50<00:19, 1.50s/it]\nSampling: 76%|███████▌ | 38/50 [02:52<00:17, 1.49s/it]\nSampling: 78%|███████▊ | 39/50 [02:53<00:16, 1.49s/it]\nSampling: 80%|████████ | 40/50 [02:55<00:14, 1.48s/it]\nSampling: 82%|████████▏ | 41/50 [02:56<00:13, 1.48s/it]\nSampling: 84%|████████▍ | 42/50 [02:58<00:11, 1.48s/it]\nSampling: 86%|████████▌ | 43/50 [02:59<00:10, 1.47s/it]\nSampling: 88%|████████▊ | 44/50 [03:01<00:08, 1.48s/it]\nSampling: 90%|█████████ | 45/50 [03:02<00:07, 1.47s/it]\nSampling: 92%|█████████▏| 46/50 [03:04<00:05, 1.47s/it]\nSampling: 94%|█████████▍| 47/50 [03:05<00:04, 1.48s/it]\nSampling: 96%|█████████▌| 48/50 [03:07<00:02, 1.48s/it]\nSampling: 98%|█████████▊| 49/50 [03:08<00:01, 1.48s/it]\nSampling: 100%|██████████| 50/50 [03:09<00:00, 1.31s/it]\nSampling: 100%|██████████| 50/50 [03:09<00:00, 3.79s/it]",
"output": "https://replicate.delivery/pbxt/aEElw4dobuaDOpze2rtjDTNAz5egx3pBhxFVVGEfoRevPDZIB/result.mp4",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-12-26T22:49:56.255242Z",
"started_at": "2023-12-26T22:51:22.827846Z",
"completed_at": "2023-12-26T23:00:11.795251Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/kzt5qibbkfykg2eeddkqxuyrha/cancel",
"get": "https://api.replicate.com/v1/predictions/kzt5qibbkfykg2eeddkqxuyrha"
},
"metrics": {
"predict_time": 528.967405,
"total_time": 615.540009
}
}