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deepfates /hunyuan-the-matrix-trilogy:e84c3dd2
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=deepfates/hunyuan-the-matrix-trilogy
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run deepfates/hunyuan-the-matrix-trilogy using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"deepfates/hunyuan-the-matrix-trilogy:e84c3dd23de21d8696fc4961b3960862a7efaf868393382119dab5a11acb0ad9",
{
input: {
crf: 19,
seed: 12345,
steps: 50,
width: 640,
height: 360,
prompt: "A video in the style of THMTR, THMTR The video clip depicts a detailed portrait of a woman's face. She has fair skin and bright, intense blue eyes that gaze directly ahead. Her hair is dark and wavy, cascading down her shoulders in a curly pattern. She is dressed in a dark dress with a square neckline adorned with intricate metallic accents. The dress has a detailed, almost mosaic-like pattern, suggesting a ceremonial or formal attire.\nThe woman's expression is stoic and serious, conveying a sense of determination or resolve. The background is dark, contrasting with the intricate details of her dress and the brightness of her eyes. The lighting is soft and diffused, casting a warm glow on",
lora_url: "",
scheduler: "DPMSolverMultistepScheduler",
flow_shift: 9,
frame_rate: 16,
num_frames: 66,
enhance_end: 1,
enhance_start: 0,
force_offload: true,
lora_strength: 1,
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 deepfates/hunyuan-the-matrix-trilogy using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"deepfates/hunyuan-the-matrix-trilogy:e84c3dd23de21d8696fc4961b3960862a7efaf868393382119dab5a11acb0ad9",
input={
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of THMTR, THMTR The video clip depicts a detailed portrait of a woman's face. She has fair skin and bright, intense blue eyes that gaze directly ahead. Her hair is dark and wavy, cascading down her shoulders in a curly pattern. She is dressed in a dark dress with a square neckline adorned with intricate metallic accents. The dress has a detailed, almost mosaic-like pattern, suggesting a ceremonial or formal attire.\nThe woman's expression is stoic and serious, conveying a sense of determination or resolve. The background is dark, contrasting with the intricate details of her dress and the brightness of her eyes. The lighting is soft and diffused, casting a warm glow on",
"lora_url": "",
"scheduler": "DPMSolverMultistepScheduler",
"flow_shift": 9,
"frame_rate": 16,
"num_frames": 66,
"enhance_end": 1,
"enhance_start": 0,
"force_offload": True,
"lora_strength": 1,
"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 deepfates/hunyuan-the-matrix-trilogy 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": "deepfates/hunyuan-the-matrix-trilogy:e84c3dd23de21d8696fc4961b3960862a7efaf868393382119dab5a11acb0ad9",
"input": {
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of THMTR, THMTR The video clip depicts a detailed portrait of a woman\'s face. She has fair skin and bright, intense blue eyes that gaze directly ahead. Her hair is dark and wavy, cascading down her shoulders in a curly pattern. She is dressed in a dark dress with a square neckline adorned with intricate metallic accents. The dress has a detailed, almost mosaic-like pattern, suggesting a ceremonial or formal attire.\\nThe woman\'s expression is stoic and serious, conveying a sense of determination or resolve. The background is dark, contrasting with the intricate details of her dress and the brightness of her eyes. The lighting is soft and diffused, casting a warm glow on",
"lora_url": "",
"scheduler": "DPMSolverMultistepScheduler",
"flow_shift": 9,
"frame_rate": 16,
"num_frames": 66,
"enhance_end": 1,
"enhance_start": 0,
"force_offload": true,
"lora_strength": 1,
"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
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terms of service and privacy policy
Output
{
"completed_at": "2025-01-24T00:29:37.158743Z",
"created_at": "2025-01-24T00:25:07.182000Z",
"data_removed": false,
"error": null,
"id": "9n7b1gxzdsrma0cmjps95sxx00",
"input": {
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of THMTR, THMTR The video clip depicts a detailed portrait of a woman's face. She has fair skin and bright, intense blue eyes that gaze directly ahead. Her hair is dark and wavy, cascading down her shoulders in a curly pattern. She is dressed in a dark dress with a square neckline adorned with intricate metallic accents. The dress has a detailed, almost mosaic-like pattern, suggesting a ceremonial or formal attire.\nThe woman's expression is stoic and serious, conveying a sense of determination or resolve. The background is dark, contrasting with the intricate details of her dress and the brightness of her eyes. The lighting is soft and diffused, casting a warm glow on",
"lora_url": "",
"scheduler": "DPMSolverMultistepScheduler",
"flow_shift": 9,
"frame_rate": 16,
"num_frames": 66,
"enhance_end": 1,
"enhance_start": 0,
"force_offload": true,
"lora_strength": 1,
"enhance_double": true,
"enhance_single": true,
"enhance_weight": 0.3,
"guidance_scale": 6,
"denoise_strength": 1
},
"logs": "Seed set to: 12345\n⚠️ Adjusted dimensions from 640x360 to 640x368 to satisfy model requirements\n⚠️ Adjusted frame count from 66 to 65 to satisfy model requirements\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\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 146\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77\n[ComfyUI] Input (height, width, video_length) = (368, 640, 65)\n[ComfyUI] The config attributes {'reverse': True, 'solver': 'euler'} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 65 frames in 17 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<01:53, 2.32s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:04<01:37, 2.03s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:06<01:41, 2.15s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.21s/it]\n[ComfyUI] 10%|█ | 5/50 [00:11<01:40, 2.24s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:13<01:39, 2.26s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:15<01:37, 2.28s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.29s/it]\n[ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.29s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.30s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:27<01:27, 2.30s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:25, 2.30s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it]\n[ComfyUI] 30%|███ | 15/50 [00:34<01:20, 2.30s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:36<01:18, 2.30s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.30s/it]\n[ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.30s/it]\n[ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.30s/it]\n[ComfyUI] 40%|████ | 20/50 [00:45<01:09, 2.30s/it]\n[ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.30s/it]\n[ComfyUI] 44%|████▍ | 22/50 [00:50<01:04, 2.30s/it]\n[ComfyUI] 46%|████▌ | 23/50 [00:52<01:02, 2.30s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:57<00:57, 2.30s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [00:59<00:55, 2.30s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.30s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:04<00:50, 2.30s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:46, 2.30s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.30s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:13<00:41, 2.30s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:39, 2.30s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.30s/it]\n[ComfyUI] 70%|███████ | 35/50 [01:20<00:34, 2.30s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [01:22<00:32, 2.30s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [01:24<00:29, 2.30s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [01:27<00:27, 2.30s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:23, 2.30s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [01:36<00:18, 2.30s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [01:38<00:16, 2.30s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13, 2.30s/it]\n[ComfyUI] 90%|█████████ | 45/50 [01:43<00:11, 2.30s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09, 2.30s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06, 2.30s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [01:50<00:04, 2.30s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02, 2.30s/it]\n[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.30s/it]\n[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.29s/it]\n[ComfyUI] Allocated memory: memory=12.300 GB\n[ComfyUI] Max allocated memory: max_memory=15.099 GB\n[ComfyUI] Max reserved memory: max_reserved=16.312 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, 1.48s/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, 1.29s/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, 25.70it/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, 2.53it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.92it/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, 65.02it/s]\n[ComfyUI] Prompt executed in 133.12 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4",
"metrics": {
"predict_time": 139.372596184,
"total_time": 269.976743
},
"output": "https://replicate.delivery/xezq/Yw7ucdrnlAqxH1i39KCXdHwc99Zve4MeCa0aybjF5BxxDJIUA/HunyuanVideo_00001.mp4",
"started_at": "2025-01-24T00:27:17.786146Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bsvm-atqtus2x5dlfkn3xuwiilctpoqxum3ouzgpmwtoit3x2mallcrka",
"get": "https://api.replicate.com/v1/predictions/9n7b1gxzdsrma0cmjps95sxx00",
"cancel": "https://api.replicate.com/v1/predictions/9n7b1gxzdsrma0cmjps95sxx00/cancel"
},
"version": "e84c3dd23de21d8696fc4961b3960862a7efaf868393382119dab5a11acb0ad9"
}Generated in
Seed set to: 12345
⚠️ Adjusted dimensions from 640x360 to 640x368 to satisfy model requirements
⚠️ Adjusted frame count from 66 to 65 to satisfy model requirements
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
Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode
[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 146
[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77
[ComfyUI] Input (height, width, video_length) = (368, 640, 65)
[ComfyUI] The config attributes {'reverse': True, 'solver': 'euler'} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.
Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler
[ComfyUI] Sampling 65 frames in 17 latents at 640x368 with 50 inference steps
[ComfyUI]
[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]
[ComfyUI] 2%|▏ | 1/50 [00:02<01:53, 2.32s/it]
[ComfyUI] 4%|▍ | 2/50 [00:04<01:37, 2.03s/it]
[ComfyUI] 6%|▌ | 3/50 [00:06<01:41, 2.15s/it]
[ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.21s/it]
[ComfyUI] 10%|█ | 5/50 [00:11<01:40, 2.24s/it]
[ComfyUI] 12%|█▏ | 6/50 [00:13<01:39, 2.26s/it]
[ComfyUI] 14%|█▍ | 7/50 [00:15<01:37, 2.28s/it]
[ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it]
[ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.29s/it]
[ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.29s/it]
[ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.30s/it]
[ComfyUI] 24%|██▍ | 12/50 [00:27<01:27, 2.30s/it]
[ComfyUI] 26%|██▌ | 13/50 [00:29<01:25, 2.30s/it]
[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it]
[ComfyUI] 30%|███ | 15/50 [00:34<01:20, 2.30s/it]
[ComfyUI] 32%|███▏ | 16/50 [00:36<01:18, 2.30s/it]
[ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.30s/it]
[ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.30s/it]
[ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.30s/it]
[ComfyUI] 40%|████ | 20/50 [00:45<01:09, 2.30s/it]
[ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.30s/it]
[ComfyUI] 44%|████▍ | 22/50 [00:50<01:04, 2.30s/it]
[ComfyUI] 46%|████▌ | 23/50 [00:52<01:02, 2.30s/it]
[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it]
[ComfyUI] 50%|█████ | 25/50 [00:57<00:57, 2.30s/it]
[ComfyUI] 52%|█████▏ | 26/50 [00:59<00:55, 2.30s/it]
[ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.30s/it]
[ComfyUI] 56%|█████▌ | 28/50 [01:04<00:50, 2.30s/it]
[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]
[ComfyUI] 60%|██████ | 30/50 [01:08<00:46, 2.30s/it]
[ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.30s/it]
[ComfyUI] 64%|██████▍ | 32/50 [01:13<00:41, 2.30s/it]
[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:39, 2.30s/it]
[ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.30s/it]
[ComfyUI] 70%|███████ | 35/50 [01:20<00:34, 2.30s/it]
[ComfyUI] 72%|███████▏ | 36/50 [01:22<00:32, 2.30s/it]
[ComfyUI] 74%|███████▍ | 37/50 [01:24<00:29, 2.30s/it]
[ComfyUI] 76%|███████▌ | 38/50 [01:27<00:27, 2.30s/it]
[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it]
[ComfyUI] 80%|████████ | 40/50 [01:31<00:23, 2.30s/it]
[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it]
[ComfyUI] 84%|████████▍ | 42/50 [01:36<00:18, 2.30s/it]
[ComfyUI] 86%|████████▌ | 43/50 [01:38<00:16, 2.30s/it]
[ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13, 2.30s/it]
[ComfyUI] 90%|█████████ | 45/50 [01:43<00:11, 2.30s/it]
[ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09, 2.30s/it]
[ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06, 2.30s/it]
[ComfyUI] 96%|█████████▌| 48/50 [01:50<00:04, 2.30s/it]
[ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02, 2.30s/it]
[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.30s/it]
[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.29s/it]
[ComfyUI] Allocated memory: memory=12.300 GB
[ComfyUI] Max allocated memory: max_memory=15.099 GB
[ComfyUI] Max reserved memory: max_reserved=16.312 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, 1.48s/it]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.25s/it]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.29s/it]
[ComfyUI]
[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 25.70it/s]
[ComfyUI]
[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.53it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.92it/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, 65.02it/s]
[ComfyUI] Prompt executed in 133.12 seconds
outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}
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HunyuanVideo_00001.png
HunyuanVideo_00001.mp4