Prediction

Model

pipeline-examples/hunyuan-glitch

j6fb2m9yghrmc0crnxgtfczyp4

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

1m 31s

Created

3 months ago

Webhook

–

Input

prompt: a woman in a white dress in a sunflower field
music_prompt: dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass

{
  "music_prompt": "dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass",
  "prompt": "a woman in a white dress in a sunflower field"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_JIt**********************************

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 pipeline-examples/hunyuan-glitch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  music_prompt: "dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass",
  prompt: "a woman in a white dress in a sunflower field"
};

const output = await replicate.run("pipeline-examples/hunyuan-glitch", { input });

// 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_JIt**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run pipeline-examples/hunyuan-glitch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pipeline-examples/hunyuan-glitch",
    input={
        "music_prompt": "dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass",
        "prompt": "a woman in a white dress in a sunflower field"
    }
)

# 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_JIt**********************************

This is your API token. Keep it to yourself.

Run pipeline-examples/hunyuan-glitch 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 $'{
    "input": {
      "music_prompt": "dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass",
      "prompt": "a woman in a white dress in a sunflower field"
    }
  }' \
  https://api.replicate.com/v1/models/pipeline-examples/hunyuan-glitch/predictions

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

Output

{
  "id": "j6fb2m9yghrmc0crnxgtfczyp4",
  "model": "pipeline-examples/hunyuan-glitch",
  "version": "hidden",
  "input": {
    "music_prompt": "dark ambient, suspenseful synth pads, distorted analog sounds, eerie drones, vintage horror soundtrack, found footage style, subtle dissonance, low rumbling bass",
    "prompt": "a woman in a white dress in a sunflower field"
  },
  "logs": "MoviePy - Building video output.mp4.\nMoviePy - Writing audio in outputTEMP_MPY_wvf_snd.mp3\n\nchunk:   0%|          | 0/662 [00:00<?, ?it/s, now=None]\nchunk:  23%|██▎       | 150/662 [00:00<00:00, 1490.80it/s, now=None]\nchunk:  45%|████▌     | 300/662 [00:00<00:00, 1205.50it/s, now=None]\nchunk:  64%|██████▍   | 424/662 [00:00<00:00, 1146.16it/s, now=None]\nchunk:  82%|████████▏ | 541/662 [00:00<00:00, 1131.16it/s, now=None]\nchunk:  99%|█████████▉| 655/662 [00:00<00:00, 1120.65it/s, now=None]\n                                                                    \nMoviePy - Done.\nMoviePy - Writing video output.mp4\n\n\nframe_index:   0%|          | 0/720 [00:00<?, ?it/s, now=None]\nframe_index:   3%|▎         | 20/720 [00:00<00:03, 196.73it/s, now=None]\nframe_index:   6%|▌         | 40/720 [00:00<00:03, 194.88it/s, now=None]\nframe_index:   8%|▊         | 60/720 [00:00<00:04, 154.96it/s, now=None]\nframe_index:  11%|█         | 77/720 [00:00<00:04, 140.78it/s, now=None]\nframe_index:  14%|█▍        | 104/720 [00:01<00:07, 80.37it/s, now=None]\nframe_index:  16%|█▌        | 114/720 [00:01<00:08, 74.29it/s, now=None]\nframe_index:  17%|█▋        | 123/720 [00:01<00:08, 72.37it/s, now=None]/app/.venv/lib/python3.13/site-packages/moviepy/video/io/ffmpeg_reader.py:190: UserWarning: In file /tmp/cog-runner-tmp-695531102/59d7601268edc85a/output_1291.mp4, 61440 bytes wanted but 0 bytes read at frame index 129 (out of a total 129 frames), at time 5.38/5.38 sec. Using the last valid frame instead.\n  warnings.warn(\n\nframe_index:  18%|█▊        | 131/720 [00:01<00:08, 66.86it/s, now=None]\nframe_index:  19%|█▉        | 139/720 [00:01<00:09, 63.47it/s, now=None]\nframe_index:  20%|██        | 146/720 [00:01<00:09, 60.60it/s, now=None]\nframe_index:  21%|██▏       | 153/720 [00:01<00:10, 55.80it/s, now=None]\nframe_index:  22%|██▏       | 159/720 [00:01<00:10, 55.19it/s, now=None]\nframe_index:  23%|██▎       | 166/720 [00:02<00:09, 57.46it/s, now=None]\nframe_index:  24%|██▍       | 172/720 [00:02<00:09, 56.39it/s, now=None]\nframe_index:  25%|██▍       | 178/720 [00:02<00:09, 55.03it/s, now=None]\nframe_index:  26%|██▌       | 184/720 [00:02<00:09, 55.85it/s, now=None]\nframe_index:  26%|██▋       | 190/720 [00:02<00:09, 56.71it/s, now=None]\nframe_index:  27%|██▋       | 197/720 [00:02<00:09, 57.65it/s, now=None]\nframe_index:  28%|██▊       | 203/720 [00:02<00:08, 57.49it/s, now=None]\nframe_index:  29%|██▉       | 209/720 [00:02<00:08, 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89%|████████▉ | 642/720 [00:10<00:01, 54.09it/s, now=None]\nframe_index:  90%|█████████ | 648/720 [00:10<00:01, 54.81it/s, now=None]\nframe_index:  91%|█████████ | 654/720 [00:10<00:01, 55.64it/s, now=None]\nframe_index:  92%|█████████▏| 661/720 [00:10<00:01, 58.97it/s, now=None]\nframe_index:  93%|█████████▎| 667/720 [00:11<00:00, 58.42it/s, now=None]\nframe_index:  94%|█████████▎| 674/720 [00:11<00:00, 59.76it/s, now=None]\nframe_index:  94%|█████████▍| 680/720 [00:11<00:00, 58.76it/s, now=None]\nframe_index:  96%|█████████▌| 688/720 [00:11<00:00, 61.10it/s, now=None]\nframe_index:  97%|█████████▋| 695/720 [00:11<00:00, 61.81it/s, now=None]\nframe_index:  98%|█████████▊| 702/720 [00:11<00:00, 62.21it/s, now=None]\nframe_index:  98%|█████████▊| 709/720 [00:11<00:00, 62.37it/s, now=None]\nframe_index:  99%|█████████▉| 716/720 [00:11<00:00, 62.19it/s, now=None]\n                                                                        \nMoviePy - Done !\nMoviePy - video ready output.mp4",
  "output": "https://replicate.delivery/xezq/fJJgeLknHksvvUyCL5opcPor6rFy7bAzcLGd8wjKdEitgULVA/output.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-08-15T20:17:22.564Z",
  "started_at": "2025-08-15T20:17:22.939488Z",
  "completed_at": "2025-08-15T20:18:53.419684Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4/cancel",
    "children": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4/children",
    "get": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4",
    "root": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4",
    "stream": "https://stream.replicate.com/v1/files/bcwr-xlhmgp2ccysncbufj723vaexivlc2jdq25aiuprtnwksspuezhba",
    "web": "https://replicate.com/p/j6fb2m9yghrmc0crnxgtfczyp4"
  },
  "metrics": {
    "predict_time": 90.480196211,
    "total_time": 90.855684
  }
}

Generated in

1 minute 30 seconds

Tweak it Report

MoviePy - Building video output.mp4. MoviePy - Writing audio in outputTEMP_MPY_wvf_snd.mp3 chunk: 0%| | 0/662 [00:00<?, ?it/s, now=None] chunk: 23%|██▎ | 150/662 [00:00<00:00, 1490.80it/s, now=None] chunk: 45%|████▌ | 300/662 [00:00<00:00, 1205.50it/s, now=None] chunk: 64%|██████▍ | 424/662 [00:00<00:00, 1146.16it/s, now=None] chunk: 82%|████████▏ | 541/662 [00:00<00:00, 1131.16it/s, now=None] chunk: 99%|█████████▉| 655/662 [00:00<00:00, 1120.65it/s, now=None] MoviePy - Done. MoviePy - Writing video output.mp4 frame_index: 0%| | 0/720 [00:00<?, ?it/s, now=None] frame_index: 3%|▎ | 20/720 [00:00<00:03, 196.73it/s, now=None] frame_index: 6%|▌ | 40/720 [00:00<00:03, 194.88it/s, now=None] frame_index: 8%|▊ | 60/720 [00:00<00:04, 154.96it/s, now=None] frame_index: 11%|█ | 77/720 [00:00<00:04, 140.78it/s, now=None] frame_index: 14%|█▍ | 104/720 [00:01<00:07, 80.37it/s, now=None] frame_index: 16%|█▌ | 114/720 [00:01<00:08, 74.29it/s, now=None] frame_index: 17%|█▋ | 123/720 [00:01<00:08, 72.37it/s, now=None]/app/.venv/lib/python3.13/site-packages/moviepy/video/io/ffmpeg_reader.py:190: UserWarning: In file /tmp/cog-runner-tmp-695531102/59d7601268edc85a/output_1291.mp4, 61440 bytes wanted but 0 bytes read at frame index 129 (out of a total 129 frames), at time 5.38/5.38 sec. Using the last valid frame instead. warnings.warn( frame_index: 18%|█▊ | 131/720 [00:01<00:08, 66.86it/s, now=None] frame_index: 19%|█▉ | 139/720 [00:01<00:09, 63.47it/s, now=None] frame_index: 20%|██ | 146/720 [00:01<00:09, 60.60it/s, now=None] frame_index: 21%|██▏ | 153/720 [00:01<00:10, 55.80it/s, now=None] frame_index: 22%|██▏ | 159/720 [00:01<00:10, 55.19it/s, now=None] frame_index: 23%|██▎ | 166/720 [00:02<00:09, 57.46it/s, now=None] frame_index: 24%|██▍ | 172/720 [00:02<00:09, 56.39it/s, now=None] frame_index: 25%|██▍ | 178/720 [00:02<00:09, 55.03it/s, now=None] frame_index: 26%|██▌ | 184/720 [00:02<00:09, 55.85it/s, now=None] frame_index: 26%|██▋ | 190/720 [00:02<00:09, 56.71it/s, now=None] frame_index: 27%|██▋ | 197/720 [00:02<00:09, 57.65it/s, now=None] frame_index: 28%|██▊ | 203/720 [00:02<00:08, 57.49it/s, now=None] frame_index: 29%|██▉ | 209/720 [00:02<00:08, 57.21it/s, now=None] frame_index: 30%|██▉ | 215/720 [00:02<00:09, 55.40it/s, now=None] frame_index: 31%|███ | 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frame_index: 94%|█████████▍| 680/720 [00:11<00:00, 58.76it/s, now=None] frame_index: 96%|█████████▌| 688/720 [00:11<00:00, 61.10it/s, now=None] frame_index: 97%|█████████▋| 695/720 [00:11<00:00, 61.81it/s, now=None] frame_index: 98%|█████████▊| 702/720 [00:11<00:00, 62.21it/s, now=None] frame_index: 98%|█████████▊| 709/720 [00:11<00:00, 62.37it/s, now=None] frame_index: 99%|█████████▉| 716/720 [00:11<00:00, 62.19it/s, now=None] MoviePy - Done ! MoviePy - video ready output.mp4