Prediction
deepfates/hunyuan-twin-peaks:9a578855228e41283cf23df1af710f71490e3bf9503bb0baaa485fa8c08bf2a6Input
- crf
- 19
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man. The atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man's feet can be heard as he makes
- lora_url
- scheduler
- DPMSolverMultistepScheduler
- flow_shift
- 9
- frame_rate
- 16
- num_frames
- 66
- enhance_end
- 1
- enhance_start
- 0
- force_offload
- lora_strength
- 1
- enhance_double
- enhance_single
- enhance_weight
- 0.3
- guidance_scale
- 6
- denoise_strength
- 1
{
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man.\nThe atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man's feet can be heard as he makes",
"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
}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-twin-peaks using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"deepfates/hunyuan-twin-peaks:9a578855228e41283cf23df1af710f71490e3bf9503bb0baaa485fa8c08bf2a6",
{
input: {
crf: 19,
seed: 12345,
steps: 50,
width: 640,
height: 360,
prompt: "A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man.\nThe atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man's feet can be heard as he makes",
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-twin-peaks using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"deepfates/hunyuan-twin-peaks:9a578855228e41283cf23df1af710f71490e3bf9503bb0baaa485fa8c08bf2a6",
input={
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man.\nThe atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man's feet can be heard as he makes",
"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-twin-peaks 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-twin-peaks:9a578855228e41283cf23df1af710f71490e3bf9503bb0baaa485fa8c08bf2a6",
"input": {
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man.\\nThe atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man\'s feet can be heard as he makes",
"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.
Output
{
"completed_at": "2025-01-24T00:11:35.703962Z",
"created_at": "2025-01-24T00:03:01.778000Z",
"data_removed": false,
"error": null,
"id": "4d2d0d4629rme0cmjpfanznrt8",
"input": {
"crf": 19,
"seed": 12345,
"steps": 50,
"width": 640,
"height": 360,
"prompt": "A video in the style of TWNPK, TWNPK The video clip depicts a serene and picturesque snow-covered landscape. The scene is set in a hilly area with dense snow covering the ground, trees, and rocks. A man dressed in a dark coat and hat is walking along a snowy path, carrying a briefcase. The path is surrounded by large boulders and snow-covered trees, creating a stark contrast between the whiteness of the snow and the dark clothes of the man.\nThe atmosphere is calm and peaceful, with a soft blue light illuminating the scene, suggesting that it might be early morning or late evening. The sound of crunching snow beneath the man's feet can be heard as he makes",
"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_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\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: 147\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<01:52, 2.30s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.02s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 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, 2.27s/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, 2.30s/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<01:16, 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<00:53, 2.31s/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, 2.31s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:13<00:41, 2.31s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:39, 2.31s/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, 2.31s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.31s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:23, 2.31s/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, 2.31s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13, 2.31s/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, 2.31s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02, 2.31s/it]\n[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.31s/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=16.344 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, 25.78it/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, 2.52it/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, 2.91it/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, 65.10it/s]\n[ComfyUI] Prompt executed in 134.47 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": 139.639128155,
"total_time": 513.925962
},
"output": "https://replicate.delivery/xezq/hHCfK5iMwG2tSyXRb3fbElFdXLeuBz4dyTlcy7RlNjNvlRQoA/HunyuanVideo_00001.mp4",
"started_at": "2025-01-24T00:09:16.064834Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bsvm-m4xkx2pmcsdirskw2un7vwislhzj35gsek7k5pw6vxawx4ubgusq",
"get": "https://api.replicate.com/v1/predictions/4d2d0d4629rme0cmjpfanznrt8",
"cancel": "https://api.replicate.com/v1/predictions/4d2d0d4629rme0cmjpfanznrt8/cancel"
},
"version": "9a578855228e41283cf23df1af710f71490e3bf9503bb0baaa485fa8c08bf2a6"
}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_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models
✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae
====================================
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: 147
[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<01:52, 2.30s/it]
[ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.02s/it]
[ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 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, 2.27s/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, 2.30s/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<01:16, 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<00:53, 2.31s/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, 2.31s/it]
[ComfyUI] 64%|██████▍ | 32/50 [01:13<00:41, 2.31s/it]
[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:39, 2.31s/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, 2.31s/it]
[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.31s/it]
[ComfyUI] 80%|████████ | 40/50 [01:31<00:23, 2.31s/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, 2.31s/it]
[ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13, 2.31s/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, 2.31s/it]
[ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02, 2.31s/it]
[ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.31s/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=16.344 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, 25.78it/s]
[ComfyUI]
[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]
[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.52it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]
[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.91it/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, 65.10it/s]
[ComfyUI] Prompt executed in 134.47 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'}]}}
====================================
HunyuanVideo_00001.png
HunyuanVideo_00001.mp4