Prediction

Model

cjwbw/tokenflow:d456a26c

xm4fohlb3gv6e36moshp34ogha

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 37s

Created

almost 2 years ago

Webhook

–

Input

video: https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4
inversion_prompt: Empty string
diffusion_prompt: a shiny silver robotic wolf
negative_diffusion_prompt: ugly, blurry, low res, unrealistic, unaesthetic
n_frames: 40
width: 512
height: 512
fps: 20
num_inversion_steps: 50
num_diffusion_steps: 50
guidance_scale: 7.5

{
  "diffusion_prompt": "a shiny silver robotic wolf",
  "fps": 20,
  "guidance_scale": 7.5,
  "height": 512,
  "inversion_prompt": "",
  "n_frames": 40,
  "negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic",
  "num_diffusion_steps": 50,
  "num_inversion_steps": 50,
  "video": "https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4",
  "width": 512
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_15n**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "cjwbw/tokenflow:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
  {
    input: {
      diffusion_prompt: "a shiny silver robotic wolf",
      fps: 20,
      guidance_scale: 7.5,
      height: 512,
      inversion_prompt: "",
      n_frames: 40,
      negative_diffusion_prompt: "ugly, blurry, low res, unrealistic, unaesthetic",
      num_diffusion_steps: 50,
      num_inversion_steps: 50,
      video: "https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4",
      width: 512
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_15n**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/tokenflow:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
    input={
        "diffusion_prompt": "a shiny silver robotic wolf",
        "fps": 20,
        "guidance_scale": 7.5,
        "height": 512,
        "inversion_prompt": "",
        "n_frames": 40,
        "negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic",
        "num_diffusion_steps": 50,
        "num_inversion_steps": 50,
        "video": "https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4",
        "width": 512
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_15n**********************************

This is your API token. Keep it to yourself.

Run cjwbw/tokenflow 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": "cjwbw/tokenflow:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
    "input": {
      "diffusion_prompt": "a shiny silver robotic wolf",
      "fps": 20,
      "guidance_scale": 7.5,
      "height": 512,
      "inversion_prompt": "",
      "n_frames": 40,
      "negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic",
      "num_diffusion_steps": 50,
      "num_inversion_steps": 50,
      "video": "https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4",
      "width": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "xm4fohlb3gv6e36moshp34ogha",
  "model": "cjwbw/tokenflow",
  "version": "d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
  "input": {
    "diffusion_prompt": "a shiny silver robotic wolf",
    "fps": 20,
    "guidance_scale": 7.5,
    "height": 512,
    "inversion_prompt": "",
    "n_frames": 40,
    "negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic",
    "num_diffusion_steps": 50,
    "num_inversion_steps": 50,
    "video": "https://replicate.delivery/pbxt/KGcnUKDlfys2uAo8eHbWSE8Pzc17hI5IOGdstViaBvfPJWHY/wolf.mp4",
    "width": 512
  },
  "logs": "Using seed: 60822\n/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/torchvision/io/video.py:161: UserWarning: The pts_unit 'pts' gives wrong results. Please use pts_unit 'sec'.\nwarnings.warn(\"The pts_unit 'pts' gives wrong results. Please use pts_unit 'sec'.\")\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:24,  1.99it/s]\n  4%|▍         | 2/50 [00:01<00:24,  1.98it/s]\n  6%|▌         | 3/50 [00:01<00:23,  1.99it/s]\n  8%|▊         | 4/50 [00:02<00:23,  1.99it/s]\n 10%|█         | 5/50 [00:02<00:22,  1.99it/s]\n 12%|█▏        | 6/50 [00:03<00:22,  1.99it/s]\n 14%|█▍        | 7/50 [00:03<00:21,  1.99it/s]\n 16%|█▌        | 8/50 [00:04<00:21,  1.99it/s]\n 18%|█▊        | 9/50 [00:04<00:20,  1.99it/s]\n 20%|██        | 10/50 [00:05<00:20,  1.99it/s]\n 22%|██▏       | 11/50 [00:05<00:19,  1.98it/s]\n 24%|██▍       | 12/50 [00:06<00:19,  1.98it/s]\n 26%|██▌       | 13/50 [00:06<00:18,  1.98it/s]\n 28%|██▊       | 14/50 [00:07<00:18,  1.98it/s]\n 30%|███       | 15/50 [00:07<00:17,  1.98it/s]\n 32%|███▏      | 16/50 [00:08<00:17,  1.99it/s]\n 34%|███▍      | 17/50 [00:08<00:16,  1.99it/s]\n 36%|███▌      | 18/50 [00:09<00:16,  2.00it/s]\n 38%|███▊      | 19/50 [00:09<00:15,  2.00it/s]\n 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[00:14<00:10,  1.98it/s]\n 60%|██████    | 30/50 [00:14<00:10,  1.99it/s]\n 62%|██████▏   | 31/50 [00:15<00:09,  1.98it/s]\n 64%|██████▍   | 32/50 [00:15<00:09,  1.98it/s]\n 66%|██████▌   | 33/50 [00:16<00:08,  1.98it/s]\n 68%|██████▊   | 34/50 [00:16<00:08,  1.98it/s]\n 70%|███████   | 35/50 [00:17<00:07,  1.98it/s]\n 72%|███████▏  | 36/50 [00:17<00:07,  1.98it/s]\n 74%|███████▍  | 37/50 [00:18<00:06,  1.98it/s]\n 76%|███████▌  | 38/50 [00:18<00:06,  1.98it/s]\n 78%|███████▊  | 39/50 [00:19<00:05,  1.98it/s]\n 80%|████████  | 40/50 [00:19<00:05,  1.98it/s]\n 82%|████████▏ | 41/50 [00:20<00:04,  1.98it/s]\n 84%|████████▍ | 42/50 [00:20<00:04,  1.98it/s]\n 86%|████████▌ | 43/50 [00:21<00:03,  1.98it/s]\n 88%|████████▊ | 44/50 [00:21<00:03,  1.98it/s]\n 90%|█████████ | 45/50 [00:22<00:02,  1.98it/s]\n 92%|█████████▏| 46/50 [00:22<00:02,  1.98it/s]\n 94%|█████████▍| 47/50 [00:23<00:01,  1.98it/s]\n 96%|█████████▌| 48/50 [00:23<00:01,  1.98it/s]\n 98%|█████████▊| 49/50 [00:24<00:00,  1.98it/s]\n100%|██████████| 50/50 [00:24<00:00,  1.98it/s]\n100%|██████████| 50/50 [00:24<00:00,  2.02it/s]\nInversion completed!\nNumber of frames for editing:  40\nSampling:   0%|          | 0/50 [00:00<?, ?it/s]\nSampling:   2%|▏         | 1/50 [00:02<02:24,  2.95s/it]\nSampling:   4%|▍         | 2/50 [00:05<02:21,  2.94s/it]\nSampling:   6%|▌         | 3/50 [00:08<02:18,  2.94s/it]\nSampling:   8%|▊         | 4/50 [00:11<02:15,  2.94s/it]\nSampling:  10%|█         | 5/50 [00:14<02:12,  2.95s/it]\nSampling:  12%|█▏        | 6/50 [00:17<02:09,  2.94s/it]\nSampling:  14%|█▍        | 7/50 [00:20<02:06,  2.94s/it]\nSampling:  16%|█▌        | 8/50 [00:23<02:03,  2.94s/it]\nSampling:  18%|█▊        | 9/50 [00:26<02:00,  2.94s/it]\nSampling:  20%|██        | 10/50 [00:29<01:57,  2.94s/it]\nSampling:  22%|██▏       | 11/50 [00:32<01:54,  2.94s/it]\nSampling:  24%|██▍       | 12/50 [00:35<01:51,  2.94s/it]\nSampling:  26%|██▌       | 13/50 [00:38<01:48,  2.94s/it]\nSampling:  28%|██▊       | 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96%|█████████▌| 48/50 [02:21<00:05,  2.96s/it]\nSampling:  98%|█████████▊| 49/50 [02:24<00:02,  2.96s/it]\nSampling: 100%|██████████| 50/50 [02:27<00:00,  2.95s/it]\nSampling: 100%|██████████| 50/50 [02:27<00:00,  2.95s/it]\nDone!",
  "output": "https://replicate.delivery/pbxt/1Z5jF8MGBw7DNhTSUj8YGSA48d6YsWzDFskNvb2guZZVo1jE/out.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-01-23T12:47:57.591143Z",
  "started_at": "2024-01-23T12:47:58.890485Z",
  "completed_at": "2024-01-23T12:51:34.630385Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/xm4fohlb3gv6e36moshp34ogha/cancel",
    "get": "https://api.replicate.com/v1/predictions/xm4fohlb3gv6e36moshp34ogha"
  },
  "metrics": {
    "predict_time": 215.7399,
    "total_time": 217.039242
  }
}

Generated in

3 minutes 36 seconds

Tweak it Report

Using seed: 60822 /root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/torchvision/io/video.py:161: UserWarning: The pts_unit 'pts' gives wrong results. Please use pts_unit 'sec'. warnings.warn("The pts_unit 'pts' gives wrong results. 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