const 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" }; 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);

output = replicate.run( "pipeline-examples/hunyuan-glitch", 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" } ) # 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())

curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "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" } }' \ https://api.replicate.com/v1/models/pipeline-examples/hunyuan-glitch/predictions

{ "completed_at": "2025-08-15T20:18:53.419684Z", "created_at": "2025-08-15T20:17:22.564000Z", "data_removed": false, "error": null, "id": "j6fb2m9yghrmc0crnxgtfczyp4", "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" }, "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. 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"https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4", "cancel": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4/cancel", "root": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4", "children": "https://api.replicate.com/v1/predictions/j6fb2m9yghrmc0crnxgtfczyp4/children" }, "version": "hidden" }

Readme

hunyuan-glitch

Creates glitchy horror video sequences from text prompts by combining Hunyuan Video generation with MusicGen audio.

https://replicate.com/pipeline-examples/hunyuan-glitch

Features

Generates creepy, distorted video footage from your text prompts
Adds matching eerie soundtrack using AI-generated music
Creates a low-fi, found footage aesthetic with shaky camera effects
Automatically combines multiple video clips for a longer sequence
Upscales final output to 640x400 resolution

Models

Under the hood it uses these models:

tencent/hunyuan-video: Generates low-resolution video clips based on text prompts with a “shaky camera” effect
meta/musicgen: Creates ambient horror soundtrack that matches the video’s mood

How it works

The pipeline takes your text prompt and generates six short video clips using Hunyuan with added camera shake. In parallel, it creates a 30-second horror soundtrack using MusicGen.

It then downloads all the generated content, stitches the videos together in sequence, upscales the resolution, and adds the soundtrack. The final result is a disturbing, glitchy video sequence perfect for horror projects, art installations, or unsettling social media content.

Input

Output

Examples

Readme

hunyuan-glitch

Features

Models

How it works

Logs (j6fb2m9yghrmc0crnxgtfczyp4)