pschaldenbrand/text2video – Run with an API on Replicate

pschaldenbrand / text2video

Method for generating bizarre looking videos from a series of language descriptions of the video. From the Bot Intelligence Group at CMU: Peter Schaldenbrand, Zhixuan Liu, & Jean Oh

Cold

Public
8.4K runs
T4
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Input

prompts

*string

Shift + Return to add a new line

Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”

Text descriptions separated by &

temperature

number

How much frame-to-frame changes. 100 = tons. 0 = barely.

Default: 30

width

integer

Video width in pixels

Default: 640

height

integer

Video height in pixels

Default: 360

frames_per_promt

integer

How many video frames to dedicate to each given prompt.

Default: 20

frame_rate

integer

Frames per second of output video

Default: 8

fast

boolean

Faster video generation at the cost of some quality

Default: true

Run this model in Node.js with one line of code:

npx create-replicate --model=pschaldenbrand/text2video

or set up a project from scratch

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 pschaldenbrand/text2video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pschaldenbrand/text2video:ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee",
  {
    input: {
      fast: false,
      width: 640,
      height: 360,
      prompts: "Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”",
      frame_rate: 8,
      temperature: 30,
      frames_per_promt: 40
    }
  }
);
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 pschaldenbrand/text2video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pschaldenbrand/text2video:ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee",
    input={
        "fast": False,
        "width": 640,
        "height": 360,
        "prompts": "Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”",
        "frame_rate": 8,
        "temperature": 30,
        "frames_per_promt": 40
    }
)

# The pschaldenbrand/text2video model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/pschaldenbrand/text2video/api#output-schema
    print(item)

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 pschaldenbrand/text2video 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": "ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee",
    "input": {
      "fast": false,
      "width": 640,
      "height": 360,
      "prompts": "Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”",
      "frame_rate": 8,
      "temperature": 30,
      "frames_per_promt": 40
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/pschaldenbrand/text2video@sha256:ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee \
  -i 'fast=false' \
  -i 'width=640' \
  -i 'height=360' \
  -i 'prompts="Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”"' \
  -i 'frame_rate=8' \
  -i 'temperature=30' \
  -i 'frames_per_promt=40'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/pschaldenbrand/text2video@sha256:ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "fast": false,
      "width": 640,
      "height": 360,
      "prompts": "Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”",
      "frame_rate": 8,
      "temperature": 30,
      "frames_per_promt": 40
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2022-10-25T16:52:44.306366Z",
  "created_at": "2022-10-25T16:39:50.525527Z",
  "data_removed": false,
  "error": null,
  "id": "qazx4dkferhvhjg6f53an2y6sm",
  "input": {
    "fast": false,
    "width": 640,
    "height": 360,
    "prompts": "Once upon a midnight dreary, while I pondered, weak and weary&Over many a quaint and curious volume of forgotten lore&While I nodded, nearly napping, suddenly there came a tapping&As of some one gently rapping, rapping at my chamber door&“’Tis some visitor,” I muttered, “tapping at my chamber door&Only this and nothing more.”",
    "frame_rate": 8,
    "temperature": 30,
    "frames_per_promt": 40
  },
  "logs": "0%|          | 0/440 [00:00<?, ?it/s]\n  0%|          | 1/440 [00:07<51:29,  7.04s/it]\n  0%|          | 2/440 [00:09<30:03,  4.12s/it]\n  1%|          | 3/440 [00:10<21:19,  2.93s/it]\n  1%|          | 4/440 [00:12<17:10,  2.36s/it]\n  1%|          | 5/440 [00:13<14:45,  2.04s/it]\n  1%|▏         | 6/440 [00:15<13:23,  1.85s/it]\n  2%|▏         | 7/440 [00:16<12:29,  1.73s/it]\n  2%|▏         | 8/440 [00:18<11:54,  1.65s/it]\n  2%|▏         | 9/440 [00:19<11:39,  1.62s/it]\n  2%|▏         | 10/440 [00:21<11:21,  1.59s/it]\n  2%|▎         | 11/440 [00:22<11:05,  1.55s/it]\n  3%|▎         | 12/440 [00:24<10:55,  1.53s/it]\n  3%|▎         | 13/440 [00:25<10:47,  1.52s/it]\n  3%|▎         | 14/440 [00:27<10:43,  1.51s/it]\n  3%|▎         | 15/440 [00:28<10:41,  1.51s/it]\n  4%|▎         | 16/440 [00:30<10:40,  1.51s/it]\n  4%|▍         | 17/440 [00:31<10:37,  1.51s/it]\n  4%|▍         | 18/440 [00:33<10:35,  1.51s/it]\n  4%|▍         | 19/440 [00:34<10:33,  1.50s/it]\n  5%|▍    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1.57s/it]\n 98%|█████████▊| 432/440 [11:11<00:12,  1.56s/it]\n 98%|█████████▊| 433/440 [11:13<00:10,  1.56s/it]\n 99%|█████████▊| 434/440 [11:15<00:09,  1.56s/it]\n 99%|█████████▉| 435/440 [11:16<00:07,  1.55s/it]\n 99%|█████████▉| 436/440 [11:18<00:06,  1.55s/it]\n 99%|█████████▉| 437/440 [11:19<00:04,  1.56s/it]\n100%|█████████▉| 438/440 [11:21<00:03,  1.55s/it]\n100%|█████████▉| 439/440 [11:22<00:01,  1.55s/it]\n100%|██████████| 440/440 [11:24<00:00,  1.55s/it]ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers\n  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)\n  configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --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-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n  libavutil      56. 31.100 / 56. 31.100\n  libavcodec     58. 54.100 / 58. 54.100\n  libavformat    58. 29.100 / 58. 29.100\n  libavdevice    58.  8.100 / 58.  8.100\n  libavfilter     7. 57.100 /  7. 57.100\n  libavresample   4.  0.  0 /  4.  0.  0\n  libswscale      5.  5.100 /  5.  5.100\n  libswresample   3.  5.100 /  3.  5.100\n  libpostproc    55.  5.100 / 55.  5.100\nInput #0, image2, from 'cog_out/frame%06d.jpg':\n  Duration: 00:00:17.60, start: 0.000000, bitrate: N/A\n    Stream #0:0: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 640x360 [SAR 1:1 DAR 16:9], 25 fps, 25 tbr, 25 tbn, 25 tbc\nStream mapping:\n  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))\nPress [q] to stop, [?] for help\n[swscaler @ 0x555a834d2b40] deprecated pixel format used, make sure you did set range correctly\n[libx264 @ 0x555a82fa06c0] using SAR=1/1\n[libx264 @ 0x555a82fa06c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n[libx264 @ 0x555a82fa06c0] profile High, level 2.2\n[libx264 @ 0x555a82fa06c0] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - 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=11 lookahead_threads=1 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_lookahead=40 rc=crf mbtree=1 crf=25.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to 'cog_out/out.mp4':\n  Metadata:\n    encoder         : Lavf58.29.100\n    Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 640x360 [SAR 1:1 DAR 16:9], q=-1--1, 8 fps, 16384 tbn, 8 tbc\n    Metadata:\n      encoder         : Lavc58.54.100 libx264\n    Side data:\n      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1\nframe=   72 fps=0.0 q=26.0 size=     256kB time=00:00:01.75 bitrate=1198.6kbits/s speed=3.48x\nframe=  116 fps=111 q=26.0 size=    1024kB time=00:00:07.25 bitrate=1157.1kbits/s speed=6.93x\nframe=  161 fps=103 q=26.0 size=    2048kB time=00:00:12.87 bitrate=1303.1kbits/s speed=8.25x\nframe=  208 fps=101 q=26.0 size=    3072kB time=00:00:18.75 bitrate=1342.2kbits/s speed= 9.1x\nframe=  256 fps=100 q=26.0 size=    4096kB time=00:00:24.75 bitrate=1355.7kbits/s speed=9.66x\nframe=  303 fps= 99 q=26.0 size=    5376kB time=00:00:30.62 bitrate=1438.1kbits/s speed=9.98x\nframe=  345 fps= 97 q=26.0 size=    6400kB time=00:00:35.87 bitrate=1461.4kbits/s speed=  10x\nframe=  394 fps= 96 q=26.0 size=    7424kB time=00:00:42.00 bitrate=1448.0kbits/s speed=10.3x\nframe=  440 fps= 96 q=26.0 size=    8192kB time=00:00:47.75 bitrate=1405.4kbits/s speed=10.4x\nframe=  440 fps= 86 q=-1.0 Lsize=    9504kB time=00:00:54.62 bitrate=1425.4kbits/s speed=10.7x\nvideo:9498kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.064156%\n[libx264 @ 0x555a82fa06c0] frame I:9     Avg QP:23.75  size: 35047\n[libx264 @ 0x555a82fa06c0] frame P:111   Avg QP:26.20  size: 26718\n[libx264 @ 0x555a82fa06c0] frame B:320   Avg QP:26.90  size: 20139\n[libx264 @ 0x555a82fa06c0] consecutive B-frames:  2.5%  0.5%  3.4% 93.6%\n[libx264 @ 0x555a82fa06c0] mb I  I16..4:  0.1% 97.9%  2.0%\n[libx264 @ 0x555a82fa06c0] mb P  I16..4:  0.0% 87.7%  1.8%  P16..4:  4.0%  4.2%  2.2%  0.0%  0.0%    skip: 0.0%\n[libx264 @ 0x555a82fa06c0] mb B  I16..4:  0.0% 25.3%  2.4%  B16..8: 16.2%  8.2%  4.9%  direct:41.0%  skip: 2.0%  L0:34.3% L1:30.9% BI:34.9%\n[libx264 @ 0x555a82fa06c0] 8x8 transform intra:95.0% inter:89.5%\n[libx264 @ 0x555a82fa06c0] coded y,uvDC,uvAC intra: 98.4% 90.2% 46.7% inter: 90.2% 86.9% 11.0%\n[libx264 @ 0x555a82fa06c0] i16 v,h,dc,p:  1%  7%  2% 90%\n[libx264 @ 0x555a82fa06c0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 22% 13% 22%  5%  7%  8%  7%  8%  9%\n[libx264 @ 0x555a82fa06c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 11% 11%  8% 10% 12%  9% 11% 10%\n[libx264 @ 0x555a82fa06c0] i8c dc,h,v,p: 50% 20% 23%  7%\n[libx264 @ 0x555a82fa06c0] Weighted P-Frames: Y:41.4% UV:38.7%\n[libx264 @ 0x555a82fa06c0] ref P L0: 40.5% 16.1% 21.2% 16.7%  5.4%\n[libx264 @ 0x555a82fa06c0] ref B L0: 85.2% 11.3%  3.5%\n[libx264 @ 0x555a82fa06c0] ref B L1: 94.7%  5.3%\n[libx264 @ 0x555a82fa06c0] kb/s:1414.64\n\n100%|██████████| 440/440 [11:30<00:00,  1.57s/it]",
  "metrics": {
    "predict_time": 691.096936,
    "total_time": 773.780839
  },
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  "status": "succeeded",
  "urls": {
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    "cancel": "https://api.replicate.com/v1/predictions/qazx4dkferhvhjg6f53an2y6sm/cancel"
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  "version": "ed5518ac356d730caf25255a80e87c16823cf379398afbe26a7dc2e97cc58fee"
}

Generated in

11 minutes 31 seconds

Tweak itReport

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100%|██████████| 440/440 [11:24<00:00,  1.55s/it]ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)
  configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --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-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
Input #0, image2, from 'cog_out/frame%06d.jpg':
  Duration: 00:00:17.60, start: 0.000000, bitrate: N/A
    Stream #0:0: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 640x360 [SAR 1:1 DAR 16:9], 25 fps, 25 tbr, 25 tbn, 25 tbc
Stream mapping:
  Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[swscaler @ 0x555a834d2b40] deprecated pixel format used, make sure you did set range correctly
[libx264 @ 0x555a82fa06c0] using SAR=1/1
[libx264 @ 0x555a82fa06c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0x555a82fa06c0] profile High, level 2.2
[libx264 @ 0x555a82fa06c0] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - 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=11 lookahead_threads=1 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_lookahead=40 rc=crf mbtree=1 crf=25.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'cog_out/out.mp4':
  Metadata:
    encoder         : Lavf58.29.100
    Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 640x360 [SAR 1:1 DAR 16:9], q=-1--1, 8 fps, 16384 tbn, 8 tbc
    Metadata:
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
frame=   72 fps=0.0 q=26.0 size=     256kB time=00:00:01.75 bitrate=1198.6kbits/s speed=3.48x
frame=  116 fps=111 q=26.0 size=    1024kB time=00:00:07.25 bitrate=1157.1kbits/s speed=6.93x
frame=  161 fps=103 q=26.0 size=    2048kB time=00:00:12.87 bitrate=1303.1kbits/s speed=8.25x
frame=  208 fps=101 q=26.0 size=    3072kB time=00:00:18.75 bitrate=1342.2kbits/s speed= 9.1x
frame=  256 fps=100 q=26.0 size=    4096kB time=00:00:24.75 bitrate=1355.7kbits/s speed=9.66x
frame=  303 fps= 99 q=26.0 size=    5376kB time=00:00:30.62 bitrate=1438.1kbits/s speed=9.98x
frame=  345 fps= 97 q=26.0 size=    6400kB time=00:00:35.87 bitrate=1461.4kbits/s speed=  10x
frame=  394 fps= 96 q=26.0 size=    7424kB time=00:00:42.00 bitrate=1448.0kbits/s speed=10.3x
frame=  440 fps= 96 q=26.0 size=    8192kB time=00:00:47.75 bitrate=1405.4kbits/s speed=10.4x
frame=  440 fps= 86 q=-1.0 Lsize=    9504kB time=00:00:54.62 bitrate=1425.4kbits/s speed=10.7x
video:9498kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.064156%
[libx264 @ 0x555a82fa06c0] frame I:9     Avg QP:23.75  size: 35047
[libx264 @ 0x555a82fa06c0] frame P:111   Avg QP:26.20  size: 26718
[libx264 @ 0x555a82fa06c0] frame B:320   Avg QP:26.90  size: 20139
[libx264 @ 0x555a82fa06c0] consecutive B-frames:  2.5%  0.5%  3.4% 93.6%
[libx264 @ 0x555a82fa06c0] mb I  I16..4:  0.1% 97.9%  2.0%
[libx264 @ 0x555a82fa06c0] mb P  I16..4:  0.0% 87.7%  1.8%  P16..4:  4.0%  4.2%  2.2%  0.0%  0.0%    skip: 0.0%
[libx264 @ 0x555a82fa06c0] mb B  I16..4:  0.0% 25.3%  2.4%  B16..8: 16.2%  8.2%  4.9%  direct:41.0%  skip: 2.0%  L0:34.3% L1:30.9% BI:34.9%
[libx264 @ 0x555a82fa06c0] 8x8 transform intra:95.0% inter:89.5%
[libx264 @ 0x555a82fa06c0] coded y,uvDC,uvAC intra: 98.4% 90.2% 46.7% inter: 90.2% 86.9% 11.0%
[libx264 @ 0x555a82fa06c0] i16 v,h,dc,p:  1%  7%  2% 90%
[libx264 @ 0x555a82fa06c0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 22% 13% 22%  5%  7%  8%  7%  8%  9%
[libx264 @ 0x555a82fa06c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 20% 11% 11%  8% 10% 12%  9% 11% 10%
[libx264 @ 0x555a82fa06c0] i8c dc,h,v,p: 50% 20% 23%  7%
[libx264 @ 0x555a82fa06c0] Weighted P-Frames: Y:41.4% UV:38.7%
[libx264 @ 0x555a82fa06c0] ref P L0: 40.5% 16.1% 21.2% 16.7%  5.4%
[libx264 @ 0x555a82fa06c0] ref B L0: 85.2% 11.3%  3.5%
[libx264 @ 0x555a82fa06c0] ref B L1: 94.7%  5.3%
[libx264 @ 0x555a82fa06c0] kb/s:1414.64

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Examples

View more examples

Run time and cost

This model costs approximately $0.039 to run on Replicate, or 25 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 3 minutes. The predict time for this model varies significantly based on the inputs.

Readme

This is a method for generating videos from language descriptions. The video is generated by looping through the given text prompts. Frames are generated around 1 frame per second.

More info here: https://pschaldenbrand.github.io/text2video/

Fast Text2Video

By optimizing the pixels of the video’s frames directly, rather than using a pre-trained generator model, this method is near real-time video generation. An image-to-image translation model is used to denoise the frames that were directly optimized.

From the Bot Intelligence Group at Carnegie Mellon University

This method is to be featured at the 2022 NeurIPS Workshop on Machine Learning for Creativity and Design.