lucataco / hotshot-xl

😊 Hotshot-XL is an AI text-to-GIF model trained to work alongside Stable Diffusion XL

Warm

Public
520.5K runs
L40S
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:3897d275

z2mfyvbbn7jkv2uiex4pbcb2vi

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

17.9s

Created

over 1 year ago by @lucataco

Input

seed: 9275
steps: 30
prompt: a cat laughing
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "seed": 9275,
  "steps": 30,
  "prompt": "a cat laughing",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      seed: 9275,
      steps: 30,
      prompt: "a cat laughing",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "seed": 9275,
        "steps": 30,
        "prompt": "a cat laughing",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "seed": 9275,
      "steps": 30,
      "prompt": "a cat laughing",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-05T06:10:46.730672Z",
  "created_at": "2023-10-05T06:10:28.800168Z",
  "data_removed": false,
  "error": null,
  "id": "z2mfyvbbn7jkv2uiex4pbcb2vi",
  "input": {
    "seed": 9275,
    "steps": 30,
    "prompt": "a cat laughing",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...:  14%|█▍        | 1/7 [00:00<00:04,  1.23it/s]\nLoading pipeline components...:  57%|█████▋    | 4/7 [00:00<00:00,  5.19it/s]\nLoading pipeline components...:  86%|████████▌ | 6/7 [00:04<00:00,  1.19it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.39it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.51it/s]\nUsing seed: 9275\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.39it/s]\n  7%|▋         | 2/30 [00:00<00:07,  3.51it/s]\n 10%|█         | 3/30 [00:00<00:07,  3.53it/s]\n 13%|█▎        | 4/30 [00:01<00:07,  3.54it/s]\n 17%|█▋        | 5/30 [00:01<00:07,  3.53it/s]\n 20%|██        | 6/30 [00:01<00:06,  3.54it/s]\n 23%|██▎       | 7/30 [00:01<00:06,  3.52it/s]\n 27%|██▋       | 8/30 [00:02<00:06,  3.54it/s]\n 30%|███       | 9/30 [00:02<00:05,  3.55it/s]\n 33%|███▎      | 10/30 [00:02<00:05,  3.55it/s]\n 37%|███▋      | 11/30 [00:03<00:05,  3.55it/s]\n 40%|████      | 12/30 [00:03<00:05,  3.55it/s]\n 43%|████▎     | 13/30 [00:03<00:04,  3.55it/s]\n 47%|████▋     | 14/30 [00:03<00:04,  3.56it/s]\n 50%|█████     | 15/30 [00:04<00:04,  3.56it/s]\n 53%|█████▎    | 16/30 [00:04<00:03,  3.57it/s]\n 57%|█████▋    | 17/30 [00:04<00:03,  3.58it/s]\n 60%|██████    | 18/30 [00:05<00:03,  3.57it/s]\n 63%|██████▎   | 19/30 [00:05<00:03,  3.56it/s]\n 67%|██████▋   | 20/30 [00:05<00:02,  3.58it/s]\n 70%|███████   | 21/30 [00:05<00:02,  3.52it/s]\n 73%|███████▎  | 22/30 [00:06<00:02,  3.49it/s]\n 77%|███████▋  | 23/30 [00:06<00:01,  3.51it/s]\n 80%|████████  | 24/30 [00:06<00:01,  3.53it/s]\n 83%|████████▎ | 25/30 [00:07<00:01,  3.50it/s]\n 87%|████████▋ | 26/30 [00:07<00:01,  3.50it/s]\n 90%|█████████ | 27/30 [00:07<00:00,  3.51it/s]\n 93%|█████████▎| 28/30 [00:07<00:00,  3.50it/s]\n 97%|█████████▋| 29/30 [00:08<00:00,  3.50it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.52it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.53it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 62%|██████▎   | 5/8 [00:00<00:00, 46.73it/s]\n100%|██████████| 8/8 [00:00<00:00, 30.23it/s]\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, gif, from 'output.gif':\nDuration: 00:00:00.96, start: 0.000000, bitrate: 10976 kb/s\nStream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc\nStream mapping:\nStream #0:0 -> #0:0 (gif (native) -> h264 (libx264))\nPress [q] to stop, [?] for help\n[libx264 @ 0x5ae50d5dd580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x5ae50d5dd580] profile High, level 2.2, 4:2:0, 8-bit\n[libx264 @ 0x5ae50d5dd580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0\nOutput #0, mp4, to '/tmp/tmpnfotblw3/out.mp4':\nMetadata:\nencoder         : Lavf58.76.100\nStream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn\nMetadata:\nencoder         : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nframe=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=N/A\n[mp4 @ 0x5ae50d5dbec0] Starting second pass: moving the moov atom to the beginning of the file\nframe=    8 fps=0.0 q=-1.0 Lsize=     176kB time=00:00:00.60 bitrate=2409.0kbits/s speed=5.49x\nvideo:176kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.526840%\n[libx264 @ 0x5ae50d5dd580] frame I:1     Avg QP:14.00  size: 32464\n[libx264 @ 0x5ae50d5dd580] frame P:2     Avg QP:17.00  size: 25112\n[libx264 @ 0x5ae50d5dd580] frame B:5     Avg QP:18.60  size: 19284\n[libx264 @ 0x5ae50d5dd580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%\n[libx264 @ 0x5ae50d5dd580] mb I  I16..4: 34.1% 34.5% 31.3%\n[libx264 @ 0x5ae50d5dd580] mb P  I16..4:  6.1% 18.4% 12.6%  P16..4: 30.0%  9.0%  9.4%  0.0%  0.0%    skip:14.6%\n[libx264 @ 0x5ae50d5dd580] mb B  I16..4:  1.4%  3.7%  9.9%  B16..8: 36.0%  9.6%  4.0%  direct: 7.7%  skip:27.6%  L0:37.9% L1:45.4% BI:16.7%\n[libx264 @ 0x5ae50d5dd580] 8x8 transform intra:36.0% inter:67.8%\n[libx264 @ 0x5ae50d5dd580] coded y,uvDC,uvAC intra: 76.6% 78.4% 55.1% inter: 28.0% 43.6% 3.0%\n[libx264 @ 0x5ae50d5dd580] i16 v,h,dc,p: 25% 14%  9% 52%\n[libx264 @ 0x5ae50d5dd580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 14% 17%  6% 10% 10% 10%  7% 11%\n[libx264 @ 0x5ae50d5dd580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 11% 14% 15%  7% 10% 11% 13%  7% 12%\n[libx264 @ 0x5ae50d5dd580] i8c dc,h,v,p: 49% 18% 21% 11%\n[libx264 @ 0x5ae50d5dd580] Weighted P-Frames: Y:0.0% UV:0.0%\n[libx264 @ 0x5ae50d5dd580] ref P L0: 60.9%  2.6% 23.5% 12.9%\n[libx264 @ 0x5ae50d5dd580] ref B L0: 82.0% 16.0%  2.0%\n[libx264 @ 0x5ae50d5dd580] ref B L1: 95.0%  5.0%\n[libx264 @ 0x5ae50d5dd580] kb/s:1492.58",
  "metrics": {
    "predict_time": 17.961354,
    "total_time": 17.930504
  },
  "output": "https://replicate.delivery/pbxt/rVxJeTPkudxuciiAYCZYTDnm5FWYuLrBxVleDBQohReMrAWjA/out.mp4",
  "started_at": "2023-10-05T06:10:28.769318Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z2mfyvbbn7jkv2uiex4pbcb2vi",
    "cancel": "https://api.replicate.com/v1/predictions/z2mfyvbbn7jkv2uiex4pbcb2vi/cancel"
  },
  "version": "3897d2751458e9f0d4f969a9fd072627aadfa6a7e001875c3facb8e5e8f7182b"
}

Generated in

18.0 seconds

Tweak it Share Report

Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]
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Loading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.51it/s]
Using seed: 9275
Warning - setting num_images_per_prompt = 1 because video_length = 8
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ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
configuration: --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
libavutil      56. 70.100 / 56. 70.100
libavcodec     58.134.100 / 58.134.100
libavformat    58. 76.100 / 58. 76.100
libavdevice    58. 13.100 / 58. 13.100
libavfilter     7.110.100 /  7.110.100
libswscale      5.  9.100 /  5.  9.100
libswresample   3.  9.100 /  3.  9.100
libpostproc    55.  9.100 / 55.  9.100
Input #0, gif, from 'output.gif':
Duration: 00:00:00.96, start: 0.000000, bitrate: 10976 kb/s
Stream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc
Stream mapping:
Stream #0:0 -> #0:0 (gif (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 0x5ae50d5dd580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x5ae50d5dd580] profile High, level 2.2, 4:2:0, 8-bit
[libx264 @ 0x5ae50d5dd580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0
Output #0, mp4, to '/tmp/tmpnfotblw3/out.mp4':
Metadata:
encoder         : Lavf58.76.100
Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn
Metadata:
encoder         : Lavc58.134.100 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=N/A
[mp4 @ 0x5ae50d5dbec0] Starting second pass: moving the moov atom to the beginning of the file
frame=    8 fps=0.0 q=-1.0 Lsize=     176kB time=00:00:00.60 bitrate=2409.0kbits/s speed=5.49x
video:176kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.526840%
[libx264 @ 0x5ae50d5dd580] frame I:1     Avg QP:14.00  size: 32464
[libx264 @ 0x5ae50d5dd580] frame P:2     Avg QP:17.00  size: 25112
[libx264 @ 0x5ae50d5dd580] frame B:5     Avg QP:18.60  size: 19284
[libx264 @ 0x5ae50d5dd580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%
[libx264 @ 0x5ae50d5dd580] mb I  I16..4: 34.1% 34.5% 31.3%
[libx264 @ 0x5ae50d5dd580] mb P  I16..4:  6.1% 18.4% 12.6%  P16..4: 30.0%  9.0%  9.4%  0.0%  0.0%    skip:14.6%
[libx264 @ 0x5ae50d5dd580] mb B  I16..4:  1.4%  3.7%  9.9%  B16..8: 36.0%  9.6%  4.0%  direct: 7.7%  skip:27.6%  L0:37.9% L1:45.4% BI:16.7%
[libx264 @ 0x5ae50d5dd580] 8x8 transform intra:36.0% inter:67.8%
[libx264 @ 0x5ae50d5dd580] coded y,uvDC,uvAC intra: 76.6% 78.4% 55.1% inter: 28.0% 43.6% 3.0%
[libx264 @ 0x5ae50d5dd580] i16 v,h,dc,p: 25% 14%  9% 52%
[libx264 @ 0x5ae50d5dd580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 14% 17%  6% 10% 10% 10%  7% 11%
[libx264 @ 0x5ae50d5dd580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 11% 14% 15%  7% 10% 11% 13%  7% 12%
[libx264 @ 0x5ae50d5dd580] i8c dc,h,v,p: 49% 18% 21% 11%
[libx264 @ 0x5ae50d5dd580] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x5ae50d5dd580] ref P L0: 60.9%  2.6% 23.5% 12.9%
[libx264 @ 0x5ae50d5dd580] ref B L0: 82.0% 16.0%  2.0%
[libx264 @ 0x5ae50d5dd580] ref B L1: 95.0%  5.0%
[libx264 @ 0x5ae50d5dd580] kb/s:1492.58

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:3897d275

x35ogmjbsozujebtlammj2g6eu

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

17.6s

Created

over 1 year ago by @lucataco

Input

seed: 28275
steps: 30
prompt: teddy bear writing a letter
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "seed": 28275,
  "steps": 30,
  "prompt": "teddy bear writing a letter",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      seed: 28275,
      steps: 30,
      prompt: "teddy bear writing a letter",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "seed": 28275,
        "steps": 30,
        "prompt": "teddy bear writing a letter",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "seed": 28275,
      "steps": 30,
      "prompt": "teddy bear writing a letter",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-05T06:11:17.546554Z",
  "created_at": "2023-10-05T06:10:59.927197Z",
  "data_removed": false,
  "error": null,
  "id": "x35ogmjbsozujebtlammj2g6eu",
  "input": {
    "seed": 28275,
    "steps": 30,
    "prompt": "teddy bear writing a letter",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...:  14%|█▍        | 1/7 [00:00<00:05,  1.19it/s]\nLoading pipeline components...:  57%|█████▋    | 4/7 [00:00<00:00,  5.09it/s]\nLoading pipeline components...:  86%|████████▌ | 6/7 [00:04<00:00,  1.25it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.45it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.56it/s]\nUsing seed: 28275\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.28it/s]\n  7%|▋         | 2/30 [00:00<00:08,  3.42it/s]\n 10%|█         | 3/30 [00:00<00:08,  3.34it/s]\n 13%|█▎        | 4/30 [00:01<00:07,  3.42it/s]\n 17%|█▋        | 5/30 [00:01<00:07,  3.45it/s]\n 20%|██        | 6/30 [00:01<00:07,  3.43it/s]\n 23%|██▎       | 7/30 [00:02<00:06,  3.46it/s]\n 27%|██▋       | 8/30 [00:02<00:06,  3.47it/s]\n 30%|███       | 9/30 [00:02<00:06,  3.50it/s]\n 33%|███▎      | 10/30 [00:02<00:05,  3.50it/s]\n 37%|███▋      | 11/30 [00:03<00:05,  3.50it/s]\n 40%|████      | 12/30 [00:03<00:05,  3.49it/s]\n 43%|████▎     | 13/30 [00:03<00:04,  3.50it/s]\n 47%|████▋     | 14/30 [00:04<00:04,  3.51it/s]\n 50%|█████     | 15/30 [00:04<00:04,  3.51it/s]\n 53%|█████▎    | 16/30 [00:04<00:03,  3.53it/s]\n 57%|█████▋    | 17/30 [00:04<00:03,  3.52it/s]\n 60%|██████    | 18/30 [00:05<00:03,  3.53it/s]\n 63%|██████▎   | 19/30 [00:05<00:03,  3.54it/s]\n 67%|██████▋   | 20/30 [00:05<00:02,  3.53it/s]\n 70%|███████   | 21/30 [00:06<00:02,  3.53it/s]\n 73%|███████▎  | 22/30 [00:06<00:02,  3.54it/s]\n 77%|███████▋  | 23/30 [00:06<00:01,  3.55it/s]\n 80%|████████  | 24/30 [00:06<00:01,  3.54it/s]\n 83%|████████▎ | 25/30 [00:07<00:01,  3.50it/s]\n 87%|████████▋ | 26/30 [00:07<00:01,  3.47it/s]\n 90%|█████████ | 27/30 [00:07<00:00,  3.48it/s]\n 93%|█████████▎| 28/30 [00:08<00:00,  3.48it/s]\n 97%|█████████▋| 29/30 [00:08<00:00,  3.50it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.51it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.49it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 62%|██████▎   | 5/8 [00:00<00:00, 46.69it/s]\n100%|██████████| 8/8 [00:00<00:00, 30.22it/s]\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, gif, from 'output.gif':\nDuration: 00:00:00.96, start: 0.000000, bitrate: 10125 kb/s\nStream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc\nStream mapping:\nStream #0:0 -> #0:0 (gif (native) -> h264 (libx264))\nPress [q] to stop, [?] for help\n[libx264 @ 0x5c39b812e580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x5c39b812e580] profile High, level 2.2, 4:2:0, 8-bit\n[libx264 @ 0x5c39b812e580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0\nOutput #0, mp4, to '/tmp/tmp9s6dflsb/out.mp4':\nMetadata:\nencoder         : Lavf58.76.100\nStream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn\nMetadata:\nencoder         : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nframe=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=N/A\n[mp4 @ 0x5c39b812cec0] Starting second pass: moving the moov atom to the beginning of the file\nframe=    8 fps=0.0 q=-1.0 Lsize=     162kB time=00:00:00.60 bitrate=2210.0kbits/s speed=5.38x\nvideo:161kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.574563%\n[libx264 @ 0x5c39b812e580] frame I:1     Avg QP:14.00  size: 34886\n[libx264 @ 0x5c39b812e580] frame P:2     Avg QP:17.00  size: 21828\n[libx264 @ 0x5c39b812e580] frame B:5     Avg QP:18.60  size: 17127\n[libx264 @ 0x5c39b812e580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%\n[libx264 @ 0x5c39b812e580] mb I  I16..4: 13.6% 53.3% 33.1%\n[libx264 @ 0x5c39b812e580] mb P  I16..4:  5.2% 12.5% 13.5%  P16..4: 31.0% 16.0% 10.4%  0.0%  0.0%    skip:11.4%\n[libx264 @ 0x5c39b812e580] mb B  I16..4:  0.8%  3.8%  8.7%  B16..8: 35.7% 10.1%  3.6%  direct: 5.3%  skip:31.9%  L0:36.5% L1:48.2% BI:15.3%\n[libx264 @ 0x5c39b812e580] 8x8 transform intra:42.6% inter:61.8%\n[libx264 @ 0x5c39b812e580] coded y,uvDC,uvAC intra: 85.1% 75.8% 52.2% inter: 28.1% 34.2% 3.7%\n[libx264 @ 0x5c39b812e580] i16 v,h,dc,p: 12% 47% 11% 30%\n[libx264 @ 0x5c39b812e580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu:  7% 43% 16%  4%  4%  3%  9%  3% 10%\n[libx264 @ 0x5c39b812e580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu:  7% 31% 14%  6%  7%  5% 11%  5% 13%\n[libx264 @ 0x5c39b812e580] i8c dc,h,v,p: 41% 38% 11% 10%\n[libx264 @ 0x5c39b812e580] Weighted P-Frames: Y:0.0% UV:0.0%\n[libx264 @ 0x5c39b812e580] ref P L0: 70.1%  9.1% 12.5%  8.3%\n[libx264 @ 0x5c39b812e580] ref B L0: 83.7% 13.1%  3.2%\n[libx264 @ 0x5c39b812e580] ref B L1: 93.3%  6.7%\n[libx264 @ 0x5c39b812e580] kb/s:1368.16",
  "metrics": {
    "predict_time": 17.663175,
    "total_time": 17.619357
  },
  "output": "https://replicate.delivery/pbxt/F4nq4zFzUQZqP992J3OA4faVW6eS8E2ivT1iwYrt1RyFWArRA/out.mp4",
  "started_at": "2023-10-05T06:10:59.883379Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/x35ogmjbsozujebtlammj2g6eu",
    "cancel": "https://api.replicate.com/v1/predictions/x35ogmjbsozujebtlammj2g6eu/cancel"
  },
  "version": "3897d2751458e9f0d4f969a9fd072627aadfa6a7e001875c3facb8e5e8f7182b"
}

Generated in

17.7 seconds

Tweak it Share Report

Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]
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Loading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.56it/s]
Using seed: 28275
Warning - setting num_images_per_prompt = 1 because video_length = 8
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ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
configuration: --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
libavutil      56. 70.100 / 56. 70.100
libavcodec     58.134.100 / 58.134.100
libavformat    58. 76.100 / 58. 76.100
libavdevice    58. 13.100 / 58. 13.100
libavfilter     7.110.100 /  7.110.100
libswscale      5.  9.100 /  5.  9.100
libswresample   3.  9.100 /  3.  9.100
libpostproc    55.  9.100 / 55.  9.100
Input #0, gif, from 'output.gif':
Duration: 00:00:00.96, start: 0.000000, bitrate: 10125 kb/s
Stream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc
Stream mapping:
Stream #0:0 -> #0:0 (gif (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 0x5c39b812e580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x5c39b812e580] profile High, level 2.2, 4:2:0, 8-bit
[libx264 @ 0x5c39b812e580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0
Output #0, mp4, to '/tmp/tmp9s6dflsb/out.mp4':
Metadata:
encoder         : Lavf58.76.100
Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn
Metadata:
encoder         : Lavc58.134.100 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=N/A
[mp4 @ 0x5c39b812cec0] Starting second pass: moving the moov atom to the beginning of the file
frame=    8 fps=0.0 q=-1.0 Lsize=     162kB time=00:00:00.60 bitrate=2210.0kbits/s speed=5.38x
video:161kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.574563%
[libx264 @ 0x5c39b812e580] frame I:1     Avg QP:14.00  size: 34886
[libx264 @ 0x5c39b812e580] frame P:2     Avg QP:17.00  size: 21828
[libx264 @ 0x5c39b812e580] frame B:5     Avg QP:18.60  size: 17127
[libx264 @ 0x5c39b812e580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%
[libx264 @ 0x5c39b812e580] mb I  I16..4: 13.6% 53.3% 33.1%
[libx264 @ 0x5c39b812e580] mb P  I16..4:  5.2% 12.5% 13.5%  P16..4: 31.0% 16.0% 10.4%  0.0%  0.0%    skip:11.4%
[libx264 @ 0x5c39b812e580] mb B  I16..4:  0.8%  3.8%  8.7%  B16..8: 35.7% 10.1%  3.6%  direct: 5.3%  skip:31.9%  L0:36.5% L1:48.2% BI:15.3%
[libx264 @ 0x5c39b812e580] 8x8 transform intra:42.6% inter:61.8%
[libx264 @ 0x5c39b812e580] coded y,uvDC,uvAC intra: 85.1% 75.8% 52.2% inter: 28.1% 34.2% 3.7%
[libx264 @ 0x5c39b812e580] i16 v,h,dc,p: 12% 47% 11% 30%
[libx264 @ 0x5c39b812e580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu:  7% 43% 16%  4%  4%  3%  9%  3% 10%
[libx264 @ 0x5c39b812e580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu:  7% 31% 14%  6%  7%  5% 11%  5% 13%
[libx264 @ 0x5c39b812e580] i8c dc,h,v,p: 41% 38% 11% 10%
[libx264 @ 0x5c39b812e580] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x5c39b812e580] ref P L0: 70.1%  9.1% 12.5%  8.3%
[libx264 @ 0x5c39b812e580] ref B L0: 83.7% 13.1%  3.2%
[libx264 @ 0x5c39b812e580] ref B L1: 93.3%  6.7%
[libx264 @ 0x5c39b812e580] kb/s:1368.16

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:3897d275

6ym3xerbnem6yjm2m3l7kranoa

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

17.4s

Created

over 1 year ago

Input

seed: 36345
steps: 30
prompt: a cute puppy running wild in the backyard
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "seed": 36345,
  "steps": 30,
  "prompt": "a cute puppy running wild in the backyard",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      seed: 36345,
      steps: 30,
      prompt: "a cute puppy running wild in the backyard",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "seed": 36345,
        "steps": 30,
        "prompt": "a cute puppy running wild in the backyard",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "seed": 36345,
      "steps": 30,
      "prompt": "a cute puppy running wild in the backyard",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-05T06:14:04.915634Z",
  "created_at": "2023-10-05T06:13:47.509155Z",
  "data_removed": false,
  "error": null,
  "id": "6ym3xerbnem6yjm2m3l7kranoa",
  "input": {
    "seed": 36345,
    "steps": 30,
    "prompt": "a cute puppy running wild in the backyard",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...:  14%|█▍        | 1/7 [00:00<00:04,  1.20it/s]\nLoading pipeline components...:  57%|█████▋    | 4/7 [00:00<00:00,  5.14it/s]\nLoading pipeline components...:  86%|████████▌ | 6/7 [00:04<00:00,  1.26it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.47it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.58it/s]\nUsing seed: 36345\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.26it/s]\n  7%|▋         | 2/30 [00:00<00:08,  3.29it/s]\n 10%|█         | 3/30 [00:00<00:07,  3.40it/s]\n 13%|█▎        | 4/30 [00:01<00:07,  3.45it/s]\n 17%|█▋        | 5/30 [00:01<00:07,  3.48it/s]\n 20%|██        | 6/30 [00:01<00:06,  3.51it/s]\n 23%|██▎       | 7/30 [00:02<00:06,  3.52it/s]\n 27%|██▋       | 8/30 [00:02<00:06,  3.53it/s]\n 30%|███       | 9/30 [00:02<00:05,  3.54it/s]\n 33%|███▎      | 10/30 [00:02<00:05,  3.51it/s]\n 37%|███▋      | 11/30 [00:03<00:05,  3.52it/s]\n 40%|████      | 12/30 [00:03<00:05,  3.52it/s]\n 43%|████▎     | 13/30 [00:03<00:04,  3.53it/s]\n 47%|████▋     | 14/30 [00:04<00:04,  3.52it/s]\n 50%|█████     | 15/30 [00:04<00:04,  3.53it/s]\n 53%|█████▎    | 16/30 [00:04<00:03,  3.54it/s]\n 57%|█████▋    | 17/30 [00:04<00:03,  3.54it/s]\n 60%|██████    | 18/30 [00:05<00:03,  3.54it/s]\n 63%|██████▎   | 19/30 [00:05<00:03,  3.53it/s]\n 67%|██████▋   | 20/30 [00:05<00:02,  3.54it/s]\n 70%|███████   | 21/30 [00:05<00:02,  3.55it/s]\n 73%|███████▎  | 22/30 [00:06<00:02,  3.55it/s]\n 77%|███████▋  | 23/30 [00:06<00:01,  3.55it/s]\n 80%|████████  | 24/30 [00:06<00:01,  3.55it/s]\n 83%|████████▎ | 25/30 [00:07<00:01,  3.56it/s]\n 87%|████████▋ | 26/30 [00:07<00:01,  3.55it/s]\n 90%|█████████ | 27/30 [00:07<00:00,  3.48it/s]\n 93%|█████████▎| 28/30 [00:07<00:00,  3.44it/s]\n 97%|█████████▋| 29/30 [00:08<00:00,  3.43it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.45it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.50it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 62%|██████▎   | 5/8 [00:00<00:00, 46.70it/s]\n100%|██████████| 8/8 [00:00<00:00, 30.23it/s]\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, gif, from 'output.gif':\nDuration: 00:00:00.96, start: 0.000000, bitrate: 10214 kb/s\nStream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc\nStream mapping:\nStream #0:0 -> #0:0 (gif (native) -> h264 (libx264))\nPress [q] to stop, [?] for help\n[libx264 @ 0x55fbb49e6580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x55fbb49e6580] profile High, level 2.2, 4:2:0, 8-bit\n[libx264 @ 0x55fbb49e6580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0\nOutput #0, mp4, to '/tmp/tmp2qjwuwcg/out.mp4':\nMetadata:\nencoder         : Lavf58.76.100\nStream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn\nMetadata:\nencoder         : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nframe=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x\n[mp4 @ 0x55fbb49e4ec0] Starting second pass: moving the moov atom to the beginning of the file\nframe=    8 fps=0.0 q=-1.0 Lsize=     222kB time=00:00:00.60 bitrate=3028.0kbits/s speed=   4x\nvideo:221kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.418686%\n[libx264 @ 0x55fbb49e6580] frame I:1     Avg QP:14.00  size: 44652\n[libx264 @ 0x55fbb49e6580] frame P:2     Avg QP:17.00  size: 33553\n[libx264 @ 0x55fbb49e6580] frame B:5     Avg QP:18.60  size: 22757\n[libx264 @ 0x55fbb49e6580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%\n[libx264 @ 0x55fbb49e6580] mb I  I16..4:  4.7% 62.3% 33.0%\n[libx264 @ 0x55fbb49e6580] mb P  I16..4:  2.5% 53.9% 28.6%  P16..4:  7.2%  5.8%  2.0%  0.0%  0.0%    skip: 0.0%\n[libx264 @ 0x55fbb49e6580] mb B  I16..4:  1.7% 25.0% 15.3%  B16..8: 20.2% 21.5%  6.9%  direct: 8.6%  skip: 0.8%  L0:50.3% L1:32.2% BI:17.5%\n[libx264 @ 0x55fbb49e6580] 8x8 transform intra:61.5% inter:71.5%\n[libx264 @ 0x55fbb49e6580] coded y,uvDC,uvAC intra: 93.8% 93.1% 77.5% inter: 81.0% 93.4% 10.2%\n[libx264 @ 0x55fbb49e6580] i16 v,h,dc,p:  7% 14%  3% 76%\n[libx264 @ 0x55fbb49e6580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 15% 18%  7%  7%  9% 10% 12%  9% 14%\n[libx264 @ 0x55fbb49e6580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 20%  9%  7%  9%  8% 12%  8% 12%\n[libx264 @ 0x55fbb49e6580] i8c dc,h,v,p: 47% 22% 18% 14%\n[libx264 @ 0x55fbb49e6580] Weighted P-Frames: Y:100.0% UV:100.0%\n[libx264 @ 0x55fbb49e6580] ref P L0: 49.6% 12.0% 22.2%  9.8%  6.4%\n[libx264 @ 0x55fbb49e6580] ref B L0: 90.6%  8.8%  0.6%\n[libx264 @ 0x55fbb49e6580] ref B L1: 97.2%  2.8%\n[libx264 @ 0x55fbb49e6580] kb/s:1879.52",
  "metrics": {
    "predict_time": 17.446614,
    "total_time": 17.406479
  },
  "output": "https://replicate.delivery/pbxt/5KBJUAVTjjIQO90NXl3VRyd3MPyT4er0z1xokGgHP4NWMg1IA/out.mp4",
  "started_at": "2023-10-05T06:13:47.469020Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6ym3xerbnem6yjm2m3l7kranoa",
    "cancel": "https://api.replicate.com/v1/predictions/6ym3xerbnem6yjm2m3l7kranoa/cancel"
  },
  "version": "3897d2751458e9f0d4f969a9fd072627aadfa6a7e001875c3facb8e5e8f7182b"
}

Generated in

17.4 seconds

Tweak it Share Report

Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]
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Loading pipeline components...: 100%|██████████| 7/7 [00:04<00:00,  1.58it/s]
Using seed: 36345
Warning - setting num_images_per_prompt = 1 because video_length = 8
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ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
configuration: --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
libavutil      56. 70.100 / 56. 70.100
libavcodec     58.134.100 / 58.134.100
libavformat    58. 76.100 / 58. 76.100
libavdevice    58. 13.100 / 58. 13.100
libavfilter     7.110.100 /  7.110.100
libswscale      5.  9.100 /  5.  9.100
libswresample   3.  9.100 /  3.  9.100
libpostproc    55.  9.100 / 55.  9.100
Input #0, gif, from 'output.gif':
Duration: 00:00:00.96, start: 0.000000, bitrate: 10214 kb/s
Stream #0:0: Video: gif, bgra, 672x384, 8.33 fps, 8.33 tbr, 100 tbn, 100 tbc
Stream mapping:
Stream #0:0 -> #0:0 (gif (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 0x55fbb49e6580] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x55fbb49e6580] profile High, level 2.2, 4:2:0, 8-bit
[libx264 @ 0x55fbb49e6580] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=8 scenecut=40 intra_refresh=0 rc=cqp mbtree=0 qp=17 ip_ratio=1.40 pb_ratio=1.30 aq=0
Output #0, mp4, to '/tmp/tmp2qjwuwcg/out.mp4':
Metadata:
encoder         : Lavf58.76.100
Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 672x384, q=2-31, 8.33 fps, 12800 tbn
Metadata:
encoder         : Lavc58.134.100 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    1 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x
[mp4 @ 0x55fbb49e4ec0] Starting second pass: moving the moov atom to the beginning of the file
frame=    8 fps=0.0 q=-1.0 Lsize=     222kB time=00:00:00.60 bitrate=3028.0kbits/s speed=   4x
video:221kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.418686%
[libx264 @ 0x55fbb49e6580] frame I:1     Avg QP:14.00  size: 44652
[libx264 @ 0x55fbb49e6580] frame P:2     Avg QP:17.00  size: 33553
[libx264 @ 0x55fbb49e6580] frame B:5     Avg QP:18.60  size: 22757
[libx264 @ 0x55fbb49e6580] consecutive B-frames: 12.5%  0.0% 37.5% 50.0%
[libx264 @ 0x55fbb49e6580] mb I  I16..4:  4.7% 62.3% 33.0%
[libx264 @ 0x55fbb49e6580] mb P  I16..4:  2.5% 53.9% 28.6%  P16..4:  7.2%  5.8%  2.0%  0.0%  0.0%    skip: 0.0%
[libx264 @ 0x55fbb49e6580] mb B  I16..4:  1.7% 25.0% 15.3%  B16..8: 20.2% 21.5%  6.9%  direct: 8.6%  skip: 0.8%  L0:50.3% L1:32.2% BI:17.5%
[libx264 @ 0x55fbb49e6580] 8x8 transform intra:61.5% inter:71.5%
[libx264 @ 0x55fbb49e6580] coded y,uvDC,uvAC intra: 93.8% 93.1% 77.5% inter: 81.0% 93.4% 10.2%
[libx264 @ 0x55fbb49e6580] i16 v,h,dc,p:  7% 14%  3% 76%
[libx264 @ 0x55fbb49e6580] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 15% 18%  7%  7%  9% 10% 12%  9% 14%
[libx264 @ 0x55fbb49e6580] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 20%  9%  7%  9%  8% 12%  8% 12%
[libx264 @ 0x55fbb49e6580] i8c dc,h,v,p: 47% 22% 18% 14%
[libx264 @ 0x55fbb49e6580] Weighted P-Frames: Y:100.0% UV:100.0%
[libx264 @ 0x55fbb49e6580] ref P L0: 49.6% 12.0% 22.2%  9.8%  6.4%
[libx264 @ 0x55fbb49e6580] ref B L0: 90.6%  8.8%  0.6%
[libx264 @ 0x55fbb49e6580] ref B L1: 97.2%  2.8%
[libx264 @ 0x55fbb49e6580] kb/s:1879.52

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:0fb86eac

lfz2ue3buljo76gacozknguu7u

Status

Succeeded

Source

Web

Hardware

A40

Total duration

17.4s

Created

over 1 year ago

Input

mp4
seed: 6226
steps: 30
width: 384
height: 672
prompt: go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "mp4": false,
  "seed": 6226,
  "steps": 30,
  "width": 384,
  "height": 672,
  "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      mp4: false,
      seed: 6226,
      steps: 30,
      width: 384,
      height: 672,
      prompt: "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "mp4": False,
        "seed": 6226,
        "steps": 30,
        "width": 384,
        "height": 672,
        "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "mp4": false,
      "seed": 6226,
      "steps": 30,
      "width": 384,
      "height": 672,
      "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-18T16:53:50.812359Z",
  "created_at": "2023-10-18T16:53:33.459184Z",
  "data_removed": false,
  "error": null,
  "id": "lfz2ue3buljo76gacozknguu7u",
  "input": {
    "mp4": false,
    "seed": 6226,
    "steps": 30,
    "width": 384,
    "height": 672,
    "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Using seed: 6226\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:14,  2.03it/s]\n  7%|▋         | 2/30 [00:00<00:13,  2.04it/s]\n 10%|█         | 3/30 [00:01<00:13,  2.04it/s]\n 13%|█▎        | 4/30 [00:01<00:12,  2.04it/s]\n 17%|█▋        | 5/30 [00:02<00:12,  2.04it/s]\n 20%|██        | 6/30 [00:02<00:11,  2.04it/s]\n 23%|██▎       | 7/30 [00:03<00:11,  2.04it/s]\n 27%|██▋       | 8/30 [00:03<00:10,  2.04it/s]\n 30%|███       | 9/30 [00:04<00:10,  2.04it/s]\n 33%|███▎      | 10/30 [00:04<00:09,  2.03it/s]\n 37%|███▋      | 11/30 [00:05<00:09,  2.03it/s]\n 40%|████      | 12/30 [00:05<00:08,  2.03it/s]\n 43%|████▎     | 13/30 [00:06<00:08,  2.03it/s]\n 47%|████▋     | 14/30 [00:06<00:07,  2.03it/s]\n 50%|█████     | 15/30 [00:07<00:07,  2.03it/s]\n 53%|█████▎    | 16/30 [00:07<00:06,  2.03it/s]\n 57%|█████▋    | 17/30 [00:08<00:06,  2.03it/s]\n 60%|██████    | 18/30 [00:08<00:05,  2.03it/s]\n 63%|██████▎   | 19/30 [00:09<00:05,  2.03it/s]\n 67%|██████▋   | 20/30 [00:09<00:04,  2.03it/s]\n 70%|███████   | 21/30 [00:10<00:04,  2.03it/s]\n 73%|███████▎  | 22/30 [00:10<00:03,  2.03it/s]\n 77%|███████▋  | 23/30 [00:11<00:03,  2.03it/s]\n 80%|████████  | 24/30 [00:11<00:02,  2.03it/s]\n 83%|████████▎ | 25/30 [00:12<00:02,  2.03it/s]\n 87%|████████▋ | 26/30 [00:12<00:01,  2.03it/s]\n 90%|█████████ | 27/30 [00:13<00:01,  2.03it/s]\n 93%|█████████▎| 28/30 [00:13<00:00,  2.03it/s]\n 97%|█████████▋| 29/30 [00:14<00:00,  2.03it/s]\n100%|██████████| 30/30 [00:14<00:00,  2.03it/s]\n100%|██████████| 30/30 [00:14<00:00,  2.03it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 62%|██████▎   | 5/8 [00:00<00:00, 40.07it/s]\n100%|██████████| 8/8 [00:00<00:00, 21.66it/s]",
  "metrics": {
    "predict_time": 17.44572,
    "total_time": 17.353175
  },
  "output": "https://replicate.delivery/pbxt/nTnYEvfEAVV6OqSO6th0ex78difa3xzUl3HqWV4eXMd05v9GB/output.gif",
  "started_at": "2023-10-18T16:53:33.366639Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lfz2ue3buljo76gacozknguu7u",
    "cancel": "https://api.replicate.com/v1/predictions/lfz2ue3buljo76gacozknguu7u/cancel"
  },
  "version": "0fb86eac3d4c6a21bca345e5867de00d6c85d379bf37cde82033eb4ae8bb96dd"
}

Generated in

17.4 seconds

Tweak it Share Report

Using seed: 6226
Warning - setting num_images_per_prompt = 1 because video_length = 8
  0%|          | 0/30 [00:00<?, ?it/s]
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100%|██████████| 30/30 [00:14<00:00,  2.03it/s]
100%|██████████| 30/30 [00:14<00:00,  2.03it/s]
  0%|          | 0/8 [00:00<?, ?it/s]
 62%|██████▎   | 5/8 [00:00<00:00, 40.07it/s]
100%|██████████| 8/8 [00:00<00:00, 21.66it/s]

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:8a10464a

hmrf3wlb7bdfgynostxacduce4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

2m 25s

Created

over 1 year ago

Input

mp4
seed: 6226
steps: 30
width: 640
height: 640
prompt: go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "mp4": false,
  "seed": 6226,
  "steps": 30,
  "width": 640,
  "height": 640,
  "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      mp4: false,
      seed: 6226,
      steps: 30,
      width: 640,
      height: 640,
      prompt: "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "mp4": False,
        "seed": 6226,
        "steps": 30,
        "width": 640,
        "height": 640,
        "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "mp4": false,
      "seed": 6226,
      "steps": 30,
      "width": 640,
      "height": 640,
      "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-21T05:33:49.271132Z",
  "created_at": "2023-10-21T05:31:24.456382Z",
  "data_removed": false,
  "error": null,
  "id": "hmrf3wlb7bdfgynostxacduce4",
  "input": {
    "mp4": false,
    "seed": 6226,
    "steps": 30,
    "width": 640,
    "height": 640,
    "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Using seed: 6226\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:24,  1.19it/s]\n  7%|▋         | 2/30 [00:01<00:21,  1.30it/s]\n 10%|█         | 3/30 [00:02<00:20,  1.33it/s]\n 13%|█▎        | 4/30 [00:03<00:19,  1.35it/s]\n 17%|█▋        | 5/30 [00:03<00:18,  1.36it/s]\n 20%|██        | 6/30 [00:04<00:17,  1.37it/s]\n 23%|██▎       | 7/30 [00:05<00:16,  1.37it/s]\n 27%|██▋       | 8/30 [00:05<00:16,  1.37it/s]\n 30%|███       | 9/30 [00:06<00:15,  1.37it/s]\n 33%|███▎      | 10/30 [00:07<00:14,  1.37it/s]\n 37%|███▋      | 11/30 [00:08<00:13,  1.37it/s]\n 40%|████      | 12/30 [00:08<00:13,  1.37it/s]\n 43%|████▎     | 13/30 [00:09<00:12,  1.37it/s]\n 47%|████▋     | 14/30 [00:10<00:11,  1.37it/s]\n 50%|█████     | 15/30 [00:11<00:10,  1.37it/s]\n 53%|█████▎    | 16/30 [00:11<00:10,  1.37it/s]\n 57%|█████▋    | 17/30 [00:12<00:09,  1.37it/s]\n 60%|██████    | 18/30 [00:13<00:08,  1.37it/s]\n 63%|██████▎   | 19/30 [00:13<00:08,  1.37it/s]\n 67%|██████▋   | 20/30 [00:14<00:07,  1.37it/s]\n 70%|███████   | 21/30 [00:15<00:06,  1.37it/s]\n 73%|███████▎  | 22/30 [00:16<00:05,  1.37it/s]\n 77%|███████▋  | 23/30 [00:16<00:05,  1.37it/s]\n 80%|████████  | 24/30 [00:17<00:04,  1.37it/s]\n 83%|████████▎ | 25/30 [00:18<00:03,  1.37it/s]\n 87%|████████▋ | 26/30 [00:19<00:02,  1.37it/s]\n 90%|█████████ | 27/30 [00:19<00:02,  1.38it/s]\n 93%|█████████▎| 28/30 [00:20<00:01,  1.38it/s]\n 97%|█████████▋| 29/30 [00:21<00:00,  1.38it/s]\n100%|██████████| 30/30 [00:21<00:00,  1.37it/s]\n100%|██████████| 30/30 [00:21<00:00,  1.37it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:01,  6.91it/s]\n 75%|███████▌  | 6/8 [00:00<00:00, 19.17it/s]\n100%|██████████| 8/8 [00:00<00:00, 12.87it/s]\n100%|██████████| 8/8 [00:00<00:00, 13.37it/s]",
  "metrics": {
    "predict_time": 25.769441,
    "total_time": 144.81475
  },
  "output": "https://replicate.delivery/pbxt/UB8EaINDgq64HNe9KxwYzox6WvRE582sba1fz6YQvXB8SRwRA/output.gif",
  "started_at": "2023-10-21T05:33:23.501691Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/hmrf3wlb7bdfgynostxacduce4",
    "cancel": "https://api.replicate.com/v1/predictions/hmrf3wlb7bdfgynostxacduce4/cancel"
  },
  "version": "8a10464a308f67d93089fa33f10894c77bf8105eb8e839daa876e197fa830d0c"
}

Generated in

25.8 seconds

Tweak it Share Report

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Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:78b3a625

3zwgdxlbeig2pxye2y4ghsdte4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 48s

Created

over 1 year ago

Input

mp4
seed: 6226
steps: 30
width: 672
height: 384
prompt: go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage
scheduler: DDIMScheduler
negative_prompt: blurry

{
  "mp4": false,
  "seed": 6226,
  "steps": 30,
  "width": 672,
  "height": 384,
  "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
  "scheduler": "DDIMScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      mp4: false,
      seed: 6226,
      steps: 30,
      width: 672,
      height: 384,
      prompt: "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      scheduler: "DDIMScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "mp4": False,
        "seed": 6226,
        "steps": 30,
        "width": 672,
        "height": 384,
        "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
        "scheduler": "DDIMScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "mp4": false,
      "seed": 6226,
      "steps": 30,
      "width": 672,
      "height": 384,
      "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      "scheduler": "DDIMScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-23T14:33:01.591500Z",
  "created_at": "2023-10-23T14:31:13.605565Z",
  "data_removed": false,
  "error": null,
  "id": "3zwgdxlbeig2pxye2y4ghsdte4",
  "input": {
    "mp4": false,
    "seed": 6226,
    "steps": 30,
    "width": 672,
    "height": 384,
    "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
    "scheduler": "DDIMScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Using seed: 6226\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:13,  2.18it/s]\n  7%|▋         | 2/30 [00:00<00:12,  2.18it/s]\n 10%|█         | 3/30 [00:01<00:12,  2.18it/s]\n 13%|█▎        | 4/30 [00:01<00:11,  2.18it/s]\n 17%|█▋        | 5/30 [00:02<00:11,  2.18it/s]\n 20%|██        | 6/30 [00:02<00:10,  2.18it/s]\n 23%|██▎       | 7/30 [00:03<00:10,  2.18it/s]\n 27%|██▋       | 8/30 [00:03<00:10,  2.18it/s]\n 30%|███       | 9/30 [00:04<00:09,  2.18it/s]\n 33%|███▎      | 10/30 [00:04<00:09,  2.18it/s]\n 37%|███▋      | 11/30 [00:05<00:08,  2.18it/s]\n 40%|████      | 12/30 [00:05<00:08,  2.18it/s]\n 43%|████▎     | 13/30 [00:05<00:07,  2.18it/s]\n 47%|████▋     | 14/30 [00:06<00:07,  2.19it/s]\n 50%|█████     | 15/30 [00:06<00:06,  2.19it/s]\n 53%|█████▎    | 16/30 [00:07<00:06,  2.19it/s]\n 57%|█████▋    | 17/30 [00:07<00:05,  2.19it/s]\n 60%|██████    | 18/30 [00:08<00:05,  2.19it/s]\n 63%|██████▎   | 19/30 [00:08<00:05,  2.19it/s]\n 67%|██████▋   | 20/30 [00:09<00:04,  2.19it/s]\n 70%|███████   | 21/30 [00:09<00:04,  2.19it/s]\n 73%|███████▎  | 22/30 [00:10<00:03,  2.19it/s]\n 77%|███████▋  | 23/30 [00:10<00:03,  2.19it/s]\n 80%|████████  | 24/30 [00:10<00:02,  2.19it/s]\n 83%|████████▎ | 25/30 [00:11<00:02,  2.19it/s]\n 87%|████████▋ | 26/30 [00:11<00:01,  2.19it/s]\n 90%|█████████ | 27/30 [00:12<00:01,  2.19it/s]\n 93%|█████████▎| 28/30 [00:12<00:00,  2.18it/s]\n 97%|█████████▋| 29/30 [00:13<00:00,  2.19it/s]\n100%|██████████| 30/30 [00:13<00:00,  2.18it/s]\n100%|██████████| 30/30 [00:13<00:00,  2.19it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:00,  7.65it/s]\n 75%|███████▌  | 6/8 [00:00<00:00, 27.49it/s]\n100%|██████████| 8/8 [00:00<00:00, 19.65it/s]",
  "metrics": {
    "predict_time": 16.969232,
    "total_time": 107.985935
  },
  "output": "https://pbxt.replicate.delivery/uqd99Pbl1P7bG5AP1B4uOZcGGbWhDWeFedDNT3T81XgcYDxRA/output.gif",
  "started_at": "2023-10-23T14:32:44.622268Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3zwgdxlbeig2pxye2y4ghsdte4",
    "cancel": "https://api.replicate.com/v1/predictions/3zwgdxlbeig2pxye2y4ghsdte4/cancel"
  },
  "version": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a"
}

Generated in

17.0 seconds

Tweak it Share Report

Using seed: 6226
Warning - setting num_images_per_prompt = 1 because video_length = 8
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100%|██████████| 8/8 [00:00<00:00, 19.65it/s]

Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:78b3a625

pyf6js3bpk2atvidpn2fqdkfd4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

58.3s

Created

over 1 year ago by @lucataco

Input

mp4
seed: 6226
steps: 30
width: 672
height: 384
prompt: go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "mp4": false,
  "seed": 6226,
  "steps": 30,
  "width": 672,
  "height": 384,
  "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      mp4: false,
      seed: 6226,
      steps: 30,
      width: 672,
      height: 384,
      prompt: "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "mp4": False,
        "seed": 6226,
        "steps": 30,
        "width": 672,
        "height": 384,
        "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "mp4": false,
      "seed": 6226,
      "steps": 30,
      "width": 672,
      "height": 384,
      "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2023-10-23T14:34:09.820164Z",
  "created_at": "2023-10-23T14:33:11.486494Z",
  "data_removed": false,
  "error": null,
  "id": "pyf6js3bpk2atvidpn2fqdkfd4",
  "input": {
    "mp4": false,
    "seed": 6226,
    "steps": 30,
    "width": 672,
    "height": 384,
    "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Using seed: 6226\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:13,  2.18it/s]\n  7%|▋         | 2/30 [00:00<00:12,  2.17it/s]\n 10%|█         | 3/30 [00:01<00:12,  2.17it/s]\n 13%|█▎        | 4/30 [00:01<00:12,  2.16it/s]\n 17%|█▋        | 5/30 [00:02<00:11,  2.16it/s]\n 20%|██        | 6/30 [00:02<00:11,  2.16it/s]\n 23%|██▎       | 7/30 [00:03<00:10,  2.16it/s]\n 27%|██▋       | 8/30 [00:03<00:10,  2.16it/s]\n 30%|███       | 9/30 [00:04<00:09,  2.15it/s]\n 33%|███▎      | 10/30 [00:04<00:09,  2.15it/s]\n 37%|███▋      | 11/30 [00:05<00:08,  2.15it/s]\n 40%|████      | 12/30 [00:05<00:08,  2.15it/s]\n 43%|████▎     | 13/30 [00:06<00:07,  2.15it/s]\n 47%|████▋     | 14/30 [00:06<00:07,  2.15it/s]\n 50%|█████     | 15/30 [00:06<00:06,  2.15it/s]\n 53%|█████▎    | 16/30 [00:07<00:06,  2.15it/s]\n 57%|█████▋    | 17/30 [00:07<00:06,  2.15it/s]\n 60%|██████    | 18/30 [00:08<00:05,  2.15it/s]\n 63%|██████▎   | 19/30 [00:08<00:05,  2.15it/s]\n 67%|██████▋   | 20/30 [00:09<00:04,  2.15it/s]\n 70%|███████   | 21/30 [00:09<00:04,  2.15it/s]\n 73%|███████▎  | 22/30 [00:10<00:03,  2.14it/s]\n 77%|███████▋  | 23/30 [00:10<00:03,  2.13it/s]\n 80%|████████  | 24/30 [00:11<00:02,  2.14it/s]\n 83%|████████▎ | 25/30 [00:11<00:02,  2.14it/s]\n 87%|████████▋ | 26/30 [00:12<00:01,  2.14it/s]\n 90%|█████████ | 27/30 [00:12<00:01,  2.14it/s]\n 93%|█████████▎| 28/30 [00:13<00:00,  2.14it/s]\n 97%|█████████▋| 29/30 [00:13<00:00,  2.14it/s]\n100%|██████████| 30/30 [00:13<00:00,  2.14it/s]\n100%|██████████| 30/30 [00:13<00:00,  2.15it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 62%|██████▎   | 5/8 [00:00<00:00, 42.32it/s]\n100%|██████████| 8/8 [00:00<00:00, 22.11it/s]",
  "metrics": {
    "predict_time": 17.332191,
    "total_time": 58.33367
  },
  "output": "https://pbxt.replicate.delivery/8Y3CA6giE3oqC5sSTb7R5rmLqw5R6Z4lTnJgsBfNhVQwsh4IA/output.gif",
  "started_at": "2023-10-23T14:33:52.487973Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pyf6js3bpk2atvidpn2fqdkfd4",
    "cancel": "https://api.replicate.com/v1/predictions/pyf6js3bpk2atvidpn2fqdkfd4/cancel"
  },
  "version": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a"
}

Generated in

17.3 seconds

Tweak it Share Report

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Prediction

lucataco/hotshot-xl:78b3a625

Model

lucataco/hotshot-xl:78b3a625

fp0vk4gj81rm80ckkqarajhzk0

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

10.0s

Created

3 months ago

Input

mp4
seed: 6226
steps: 30
width: 672
height: 384
prompt: go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage
scheduler: EulerAncestralDiscreteScheduler
negative_prompt: blurry

{
  "mp4": false,
  "seed": 6226,
  "steps": 30,
  "width": 672,
  "height": 384,
  "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
  "scheduler": "EulerAncestralDiscreteScheduler",
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
  {
    input: {
      mp4: false,
      seed: 6226,
      steps: 30,
      width: 672,
      height: 384,
      prompt: "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run lucataco/hotshot-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/hotshot-xl:78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    input={
        "mp4": False,
        "seed": 6226,
        "steps": 30,
        "width": 672,
        "height": 384,
        "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/hotshot-xl 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": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a",
    "input": {
      "mp4": false,
      "seed": 6226,
      "steps": 30,
      "width": 672,
      "height": 384,
      "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2024-12-06T21:16:56.997655Z",
  "created_at": "2024-12-06T21:16:47.040000Z",
  "data_removed": false,
  "error": null,
  "id": "fp0vk4gj81rm80ckkqarajhzk0",
  "input": {
    "mp4": false,
    "seed": 6226,
    "steps": 30,
    "width": 672,
    "height": 384,
    "prompt": "go-pro video of a polar bear diving in the ocean, 8k, HD, dslr, nature footage",
    "scheduler": "EulerAncestralDiscreteScheduler",
    "negative_prompt": "blurry"
  },
  "logs": "Using seed: 6226\nWarning - setting num_images_per_prompt = 1 because video_length = 8\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:08,  3.62it/s]\n  7%|▋         | 2/30 [00:00<00:07,  3.56it/s]\n 10%|█         | 3/30 [00:00<00:07,  3.54it/s]\n 13%|█▎        | 4/30 [00:01<00:07,  3.54it/s]\n 17%|█▋        | 5/30 [00:01<00:07,  3.53it/s]\n 20%|██        | 6/30 [00:01<00:06,  3.53it/s]\n 23%|██▎       | 7/30 [00:01<00:06,  3.52it/s]\n 27%|██▋       | 8/30 [00:02<00:06,  3.52it/s]\n 30%|███       | 9/30 [00:02<00:05,  3.51it/s]\n 33%|███▎      | 10/30 [00:02<00:05,  3.51it/s]\n 37%|███▋      | 11/30 [00:03<00:05,  3.51it/s]\n 40%|████      | 12/30 [00:03<00:05,  3.51it/s]\n 43%|████▎     | 13/30 [00:03<00:04,  3.50it/s]\n 47%|████▋     | 14/30 [00:03<00:04,  3.51it/s]\n 50%|█████     | 15/30 [00:04<00:04,  3.50it/s]\n 53%|█████▎    | 16/30 [00:04<00:03,  3.51it/s]\n 57%|█████▋    | 17/30 [00:04<00:03,  3.51it/s]\n 60%|██████    | 18/30 [00:05<00:03,  3.50it/s]\n 63%|██████▎   | 19/30 [00:05<00:03,  3.50it/s]\n 67%|██████▋   | 20/30 [00:05<00:02,  3.50it/s]\n 70%|███████   | 21/30 [00:05<00:02,  3.50it/s]\n 73%|███████▎  | 22/30 [00:06<00:02,  3.50it/s]\n 77%|███████▋  | 23/30 [00:06<00:02,  3.50it/s]\n 80%|████████  | 24/30 [00:06<00:01,  3.49it/s]\n 83%|████████▎ | 25/30 [00:07<00:01,  3.49it/s]\n 87%|████████▋ | 26/30 [00:07<00:01,  3.50it/s]\n 90%|█████████ | 27/30 [00:07<00:00,  3.49it/s]\n 93%|█████████▎| 28/30 [00:07<00:00,  3.49it/s]\n 97%|█████████▋| 29/30 [00:08<00:00,  3.49it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.49it/s]\n100%|██████████| 30/30 [00:08<00:00,  3.51it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 75%|███████▌  | 6/8 [00:00<00:00, 44.13it/s]\n100%|██████████| 8/8 [00:00<00:00, 32.33it/s]",
  "metrics": {
    "predict_time": 9.949907471,
    "total_time": 9.957655
  },
  "output": "https://replicate.delivery/xezq/dPpsLJkQgUZ5LtiPM9kFmrnrAQPnI2ubuCfzixAkvZKk3I8JA/output.gif",
  "started_at": "2024-12-06T21:16:47.047748Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-nphtq4xfv2idpug6zr2kgprs6ptagunhqglkb5mqjry6eh6ixq3a",
    "get": "https://api.replicate.com/v1/predictions/fp0vk4gj81rm80ckkqarajhzk0",
    "cancel": "https://api.replicate.com/v1/predictions/fp0vk4gj81rm80ckkqarajhzk0/cancel"
  },
  "version": "78b3a6257e16e4b241245d65c8b2b81ea2e1ff7ed4c55306b511509ddbfd327a"
}

Generated in

9.9 seconds

Tweak it Share Report

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Want to make some of these yourself?

Run this model

lucataco / hotshot-xl

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