Prediction

Model

deepfates/hunyuan-la-la-land:4c5d76fd

7n90arc23srm80cmk5q83g1afw

Status

Succeeded

Source

API

Hardware

H100

Total duration

6m 48s

Created

11 months ago

Webhook

–

Input

prompt: A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.
lora_strength: 1
steps: 50
guidance_scale: 6
num_frames: 66
width: 640
height: 360
frame_rate: 16
seed: 12345

{
  "frame_rate": 16,
  "guidance_scale": 6,
  "height": 360,
  "lora_strength": 1,
  "num_frames": 66,
  "prompt": "A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.",
  "seed": 12345,
  "steps": 50,
  "width": 640
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_UPm**********************************

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 deepfates/hunyuan-la-la-land using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "deepfates/hunyuan-la-la-land:4c5d76fd0aba10043c23501c2d62142db7cd9d42b6445d0efe35950563a64d78",
  {
    input: {
      frame_rate: 16,
      guidance_scale: 6,
      height: 360,
      lora_strength: 1,
      num_frames: 66,
      prompt: "A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.",
      seed: 12345,
      steps: 50,
      width: 640
    }
  }
);

// 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_UPm**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run deepfates/hunyuan-la-la-land using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "deepfates/hunyuan-la-la-land:4c5d76fd0aba10043c23501c2d62142db7cd9d42b6445d0efe35950563a64d78",
    input={
        "frame_rate": 16,
        "guidance_scale": 6,
        "height": 360,
        "lora_strength": 1,
        "num_frames": 66,
        "prompt": "A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.",
        "seed": 12345,
        "steps": 50,
        "width": 640
    }
)

# 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_UPm**********************************

This is your API token. Keep it to yourself.

Run deepfates/hunyuan-la-la-land 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-la-la-land:4c5d76fd0aba10043c23501c2d62142db7cd9d42b6445d0efe35950563a64d78",
    "input": {
      "frame_rate": 16,
      "guidance_scale": 6,
      "height": 360,
      "lora_strength": 1,
      "num_frames": 66,
      "prompt": "A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.",
      "seed": 12345,
      "steps": 50,
      "width": 640
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "7n90arc23srm80cmk5q83g1afw",
  "model": "deepfates/hunyuan-la-la-land",
  "version": "4c5d76fd0aba10043c23501c2d62142db7cd9d42b6445d0efe35950563a64d78",
  "input": {
    "frame_rate": 16,
    "guidance_scale": 6,
    "height": 360,
    "lora_strength": 1,
    "num_frames": 66,
    "prompt": "A video in the style of LLLND, LLLND The video clip depicts a beach scene with several people enjoying their time. In the foreground, a man with curly hair and a mustache is wearing glasses and a red and white checkered shirt. He is sitting on a beach chair and appears to be laughing or smiling, looking off to the side. In the background, there are other people sitting on the beach, some under umbrellas, and others lying on towels. The beach is populated with various beachgoers, and the atmosphere seems relaxed and leisurely. The overall scene conveys a sense of a typical day at the beach with people engaging in typical beach activities.",
    "seed": 12345,
    "steps": 50,
    "width": 640
  },
  "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\n�� USING REPLICATE WEIGHTS (preferred method)\n🎯 USING REPLICATE WEIGHTS TAR FILE 🎯\n----------------------------------------\n📦 Processing replicate weights tar file...\n🔄 Will rename LoRA to: replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249.safetensors\n📂 Extracting tar contents...\n✅ Found lora_comfyui.safetensors in tar\n✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249.safetensors\n----------------------------------------\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 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\nExecuting node 42, title: HunyuanVideo Enhance A Video, class type: HyVideoEnhanceAVideo\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards:  25%|██▌       | 1/4 [00:00<00:01,  1.62it/s]\n[ComfyUI] Loading checkpoint shards:  50%|█████     | 2/4 [00:01<00:01,  1.60it/s]\n[ComfyUI] Loading checkpoint shards:  75%|███████▌  | 3/4 [00:01<00:00,  1.62it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.40it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.04it/s]\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 139\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77\nExecuting node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect\nExecuting node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader\n[ComfyUI] model_type FLOW\n[ComfyUI] The config attributes {'use_flow_sigmas': True, 'prediction_type': 'flow_prediction'} were passed to FlowMatchDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n[ComfyUI] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249 with strength: 1.0\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] loaded completely 9.5367431640625e+25 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (368, 640, 65)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\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.\n[ComfyUI] Sampling 65 frames in 17 latents at 640x368 with 50 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('flow_shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['n_tokens', 'num_train_timesteps'])])\n[ComfyUI]\n[ComfyUI] 0%|          | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏         | 1/50 [00:02<01:58,  2.42s/it]\n[ComfyUI] 4%|▍         | 2/50 [00:04<01:39,  2.07s/it]\n[ComfyUI] 6%|▌         | 3/50 [00:06<01:42,  2.17s/it]\n[ComfyUI] 8%|▊         | 4/50 [00:08<01:42,  2.22s/it]\n[ComfyUI] 10%|█         | 5/50 [00:11<01:41,  2.25s/it]\n[ComfyUI] 12%|█▏        | 6/50 [00:13<01:39,  2.27s/it]\n[ComfyUI] 14%|█▍        | 7/50 [00:15<01:38,  2.28s/it]\n[ComfyUI] 16%|█▌        | 8/50 [00:18<01:36,  2.29s/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 [00:41<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,  2.29s/it]\n[ComfyUI] 70%|███████   | 35/50 [01:20<00:34,  2.29s/it]\n[ComfyUI] 72%|███████▏  | 36/50 [01:22<00:32,  2.29s/it]\n[ComfyUI] 74%|███████▍  | 37/50 [01:24<00:29,  2.29s/it]\n[ComfyUI] 76%|███████▌  | 38/50 [01:27<00:27,  2.29s/it]\n[ComfyUI] 78%|███████▊  | 39/50 [01:29<00:25,  2.29s/it]\n[ComfyUI] 80%|████████  | 40/50 [01:31<00:22,  2.29s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20,  2.29s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [01:36<00:18,  2.29s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [01:38<00:16,  2.29s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13,  2.29s/it]\n[ComfyUI] 90%|█████████ | 45/50 [01:43<00:11,  2.29s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09,  2.29s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06,  2.29s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [01:49<00:04,  2.29s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02,  2.29s/it]\n[ComfyUI] 100%|██████████| 50/50 [01:54<00:00,  2.29s/it]\n[ComfyUI] 100%|██████████| 50/50 [01:54<00:00,  2.29s/it]\n[ComfyUI] Allocated memory: memory=12.760 GB\n[ComfyUI] Max allocated memory: max_memory=15.559 GB\n[ComfyUI] Max reserved memory: max_reserved=16.875 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,  1.52s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00,  1.26s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00,  1.30s/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, 28.75it/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,  2.50it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00,  3.01it/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, 85.10it/s]\n[ComfyUI] Prompt executed in 148.85 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",
  "output": "https://replicate.delivery/xezq/hzM1rnCyFErqAJ8WU6eSOZVqLPPdImLppH6z0eQh4MnoYYIUA/HunyuanVideo_00001.mp4",
  "data_removed": false,
  "error": null,
  "source": "api",
  "status": "succeeded",
  "created_at": "2025-01-24T17:49:03.902Z",
  "started_at": "2025-01-24T17:53:02.22543Z",
  "completed_at": "2025-01-24T17:55:52.04832Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/7n90arc23srm80cmk5q83g1afw/cancel",
    "get": "https://api.replicate.com/v1/predictions/7n90arc23srm80cmk5q83g1afw",
    "stream": "https://stream.replicate.com/v1/files/bsvm-bf5ociilg7somuxiavzipamfcgulywcw5757y64fhvgqdsgwbqja",
    "web": "https://replicate.com/p/7n90arc23srm80cmk5q83g1afw"
  },
  "metrics": {
    "predict_time": 169.822889883,
    "total_time": 408.14632
  }
}

Generated in

2 minutes 50 seconds

Tweak it Report

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 �� USING REPLICATE WEIGHTS (preferred method) 🎯 USING REPLICATE WEIGHTS TAR FILE 🎯 ---------------------------------------- 📦 Processing replicate weights tar file... 🔄 Will rename LoRA to: replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249.safetensors 📂 Extracting tar contents... ✅ Found lora_comfyui.safetensors in tar ✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249.safetensors ---------------------------------------- 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 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader Executing node 42, title: HunyuanVideo Enhance A Video, class type: HyVideoEnhanceAVideo Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.62it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.60it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.62it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.40it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.04it/s] [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 139 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77 Executing node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect Executing node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader [ComfyUI] model_type FLOW [ComfyUI] The config attributes {'use_flow_sigmas': True, 'prediction_type': 'flow_prediction'} were passed to FlowMatchDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. [ComfyUI] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: replicate_b9d5ccfc-e723-41f0-b7b3-42c299ddc249 with strength: 1.0 [ComfyUI] Requested to load HyVideoModel [ComfyUI] loaded completely 9.5367431640625e+25 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (368, 640, 65) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [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. [ComfyUI] Sampling 65 frames in 17 latents at 640x368 with 50 inference steps [ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('flow_shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['n_tokens', 'num_train_timesteps'])]) [ComfyUI] [ComfyUI] 0%| | 0/50 [00:00<?, ?it/s] [ComfyUI] 2%|▏ | 1/50 [00:02<01:58, 2.42s/it] [ComfyUI] 4%|▍ | 2/50 [00:04<01:39, 2.07s/it] [ComfyUI] 6%|▌ | 3/50 [00:06<01:42, 2.17s/it] [ComfyUI] 8%|▊ | 4/50 [00:08<01:42, 2.22s/it] [ComfyUI] 10%|█ | 5/50 [00:11<01:41, 2.25s/it] [ComfyUI] 12%|█▏ | 6/50 [00:13<01:39, 2.27s/it] [ComfyUI] 14%|█▍ | 7/50 [00:15<01:38, 2.28s/it] [ComfyUI] 16%|█▌ | 8/50 [00:18<01:36, 2.29s/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 [00:41<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, 2.29s/it] [ComfyUI] 70%|███████ | 35/50 [01:20<00:34, 2.29s/it] [ComfyUI] 72%|███████▏ | 36/50 [01:22<00:32, 2.29s/it] [ComfyUI] 74%|███████▍ | 37/50 [01:24<00:29, 2.29s/it] [ComfyUI] 76%|███████▌ | 38/50 [01:27<00:27, 2.29s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.29s/it] [ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.29s/it] [ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.29s/it] [ComfyUI] 84%|████████▍ | 42/50 [01:36<00:18, 2.29s/it] [ComfyUI] 86%|████████▌ | 43/50 [01:38<00:16, 2.29s/it] [ComfyUI] 88%|████████▊ | 44/50 [01:40<00:13, 2.29s/it] [ComfyUI] 90%|█████████ | 45/50 [01:43<00:11, 2.29s/it] [ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09, 2.29s/it] [ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06, 2.29s/it] [ComfyUI] 96%|█████████▌| 48/50 [01:49<00:04, 2.29s/it] [ComfyUI] 98%|█████████▊| 49/50 [01:52<00:02, 2.29s/it] [ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.29s/it] [ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.29s/it] [ComfyUI] Allocated memory: memory=12.760 GB [ComfyUI] Max allocated memory: max_memory=15.559 GB [ComfyUI] Max reserved memory: max_reserved=16.875 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, 1.52s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.26s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.30s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.75it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.50it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.01it/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, 85.10it/s] [ComfyUI] Prompt executed in 148.85 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