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fofr /hunyuan-ponponpon:fce4aec2
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=fofr/hunyuan-ponponpon
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet 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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run fofr/hunyuan-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c",
{
input: {
crf: 19,
steps: 50,
width: 640,
height: 360,
prompt: "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.",
lora_url: "",
scheduler: "DPMSolverMultistepScheduler",
flow_shift: 9,
frame_rate: 24,
num_frames: 85,
enhance_end: 1,
enhance_start: 0,
force_offload: true,
lora_strength: 0.85,
enhance_double: true,
enhance_single: true,
enhance_weight: 0.3,
guidance_scale: 6,
denoise_strength: 1
}
}
);
// 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 replicateSet 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 replicateRun fofr/hunyuan-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c",
input={
"crf": 19,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.",
"lora_url": "",
"scheduler": "DPMSolverMultistepScheduler",
"flow_shift": 9,
"frame_rate": 24,
"num_frames": 85,
"enhance_end": 1,
"enhance_start": 0,
"force_offload": True,
"lora_strength": 0.85,
"enhance_double": True,
"enhance_single": True,
"enhance_weight": 0.3,
"guidance_scale": 6,
"denoise_strength": 1
}
)
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 fofr/hunyuan-ponponpon 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": "fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c",
"input": {
"crf": 19,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.",
"lora_url": "",
"scheduler": "DPMSolverMultistepScheduler",
"flow_shift": 9,
"frame_rate": 24,
"num_frames": 85,
"enhance_end": 1,
"enhance_start": 0,
"force_offload": true,
"lora_strength": 0.85,
"enhance_double": true,
"enhance_single": true,
"enhance_weight": 0.3,
"guidance_scale": 6,
"denoise_strength": 1
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2025-01-09T09:33:59.696709Z",
"created_at": "2025-01-09T09:30:21.688000Z",
"data_removed": false,
"error": null,
"id": "txj0954af1rma0cm99k8gfeay4",
"input": {
"crf": 19,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.",
"lora_url": "",
"flow_shift": 9,
"frame_rate": 24,
"num_frames": 85,
"force_offload": true,
"lora_strength": 0.85,
"guidance_scale": 6,
"denoise_strength": 1
},
"logs": "Random seed set to: 2306294667\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n====================================\nRunning workflow\n[ComfyUI] got prompt\n[ComfyUI] Input (height, width, video_length) = (360, 640, 85)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps\n[ComfyUI]\n[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/50 [00:02<02:03, 2.51s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:05<02:27, 3.07s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:09<02:32, 3.25s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.33s/it]\n[ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.38s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:19<02:29, 3.41s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.42s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.44s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it]\n[ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.45s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.45s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.46s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it]\n[ComfyUI] 30%|███ | 15/50 [00:50<02:01, 3.46s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it]\n[ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it]\n[ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it]\n[ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it]\n[ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it]\n[ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it]\n[ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it]\n[ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it]\n[ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.46s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:35<01:16, 3.46s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.47s/it]\n[ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [02:07<00:45, 3.46s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it]\n[ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it]\n[ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it]\n[ComfyUI] Allocated memory: memory=12.300 GB\n[ComfyUI] Max allocated memory: max_memory=16.351 GB\n[ComfyUI] Max reserved memory: max_reserved=18.219 GB\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:01<00:01, 1.47s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.25s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.28s/it]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 25.73it/s]\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 1.19it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.37it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 41.02it/s]\n[ComfyUI] Prompt executed in 185.07 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4",
"metrics": {
"predict_time": 194.406202438,
"total_time": 218.008709
},
"output": "https://replicate.delivery/xezq/TeEvrDwHWY2aS6jnElISo1O7xFc91TegfAyZD43WnLCOQpGoA/HunyuanVideo_00001.mp4",
"started_at": "2025-01-09T09:30:45.290506Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-y4lgnd5ocvajshtx33dkrsv6mdi25jaiaz3utvzthkvylprab66q",
"get": "https://api.replicate.com/v1/predictions/txj0954af1rma0cm99k8gfeay4",
"cancel": "https://api.replicate.com/v1/predictions/txj0954af1rma0cm99k8gfeay4/cancel"
},
"version": "fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c"
}Generated in
Random seed set to: 2306294667
Checking inputs
====================================
Checking weights
✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae
✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models
====================================
Running workflow
[ComfyUI] got prompt
[ComfyUI] Input (height, width, video_length) = (360, 640, 85)
Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler
[ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps
[ComfyUI]
[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]
[ComfyUI] 2%|▏ | 1/50 [00:02<02:03, 2.51s/it]
[ComfyUI] 4%|▍ | 2/50 [00:05<02:27, 3.07s/it]
[ComfyUI] 6%|▌ | 3/50 [00:09<02:32, 3.25s/it]
[ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.33s/it]
[ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.38s/it]
[ComfyUI] 12%|█▏ | 6/50 [00:19<02:29, 3.41s/it]
[ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.42s/it]
[ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.44s/it]
[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it]
[ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.45s/it]
[ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it]
[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.45s/it]
[ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.46s/it]
[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it]
[ComfyUI] 30%|███ | 15/50 [00:50<02:01, 3.46s/it]
[ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it]
[ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it]
[ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it]
[ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it]
[ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it]
[ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it]
[ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it]
[ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it]
[ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it]
[ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it]
[ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.46s/it]
[ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it]
[ComfyUI] 56%|█████▌ | 28/50 [01:35<01:16, 3.46s/it]
[ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it]
[ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it]
[ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it]
[ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it]
[ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it]
[ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.47s/it]
[ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it]
[ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it]
[ComfyUI] 74%|███████▍ | 37/50 [02:07<00:45, 3.46s/it]
[ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it]
[ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it]
[ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it]
[ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it]
[ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it]
[ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it]
[ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it]
[ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it]
[ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it]
[ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it]
[ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it]
[ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it]
[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it]
[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it]
[ComfyUI] Allocated memory: memory=12.300 GB
[ComfyUI] Max allocated memory: max_memory=16.351 GB
[ComfyUI] Max reserved memory: max_reserved=18.219 GB
Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode
[ComfyUI]
[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:01<00:01, 1.47s/it]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.25s/it]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.28s/it]
[ComfyUI]
[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 25.73it/s]
[ComfyUI]
[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 1.19it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.37it/s]
[ComfyUI]
[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]
Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 41.02it/s]
[ComfyUI] Prompt executed in 185.07 seconds
outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}
====================================
HunyuanVideo_00001.png
HunyuanVideo_00001.mp4