Prediction

Model

deepfates/hunyuan-arcane:d294d8b3

3e68mry9exrmc0cmk6wa49q8er

Status

Succeeded

Source

Web

Hardware

H100

Total duration

3m 13s

Created

11 months ago

Webhook

–

Input

prompt: A video in the style of RCN, RCN The video clip features a close-up of a person's face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person's facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person's gaze conveying a sense of determination or resolve.
lora_url: Empty string
lora_strength: 1
scheduler: DPMSolverMultistepScheduler
steps: 50
guidance_scale: 6
flow_shift: 9
num_frames: 66
width: 640
height: 360
denoise_strength: 1
force_offload: true
frame_rate: 16
crf: 19
enhance_weight: 0.3
enhance_single: true
enhance_double: true
enhance_start: 0
enhance_end: 1
seed: 12345

{
  "crf": 19,
  "denoise_strength": 1,
  "enhance_double": true,
  "enhance_end": 1,
  "enhance_single": true,
  "enhance_start": 0,
  "enhance_weight": 0.3,
  "flow_shift": 9,
  "force_offload": true,
  "frame_rate": 16,
  "guidance_scale": 6,
  "height": 360,
  "lora_strength": 1,
  "lora_url": "",
  "num_frames": 66,
  "prompt": "A video in the style of RCN, RCN The video clip features a close-up of a person's face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person's facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person's gaze conveying a sense of determination or resolve.\n",
  "scheduler": "DPMSolverMultistepScheduler",
  "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_ShG**********************************

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-arcane using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "deepfates/hunyuan-arcane:d294d8b37fd60ff1499e631d054250ae51709fe87e8e32d563dd98c610a40bad",
  {
    input: {
      crf: 19,
      denoise_strength: 1,
      enhance_double: true,
      enhance_end: 1,
      enhance_single: true,
      enhance_start: 0,
      enhance_weight: 0.3,
      flow_shift: 9,
      force_offload: true,
      frame_rate: 16,
      guidance_scale: 6,
      height: 360,
      lora_strength: 1,
      lora_url: "",
      num_frames: 66,
      prompt: "A video in the style of RCN, RCN The video clip features a close-up of a person's face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person's facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person's gaze conveying a sense of determination or resolve.\n",
      scheduler: "DPMSolverMultistepScheduler",
      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_ShG**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "deepfates/hunyuan-arcane:d294d8b37fd60ff1499e631d054250ae51709fe87e8e32d563dd98c610a40bad",
    input={
        "crf": 19,
        "denoise_strength": 1,
        "enhance_double": True,
        "enhance_end": 1,
        "enhance_single": True,
        "enhance_start": 0,
        "enhance_weight": 0.3,
        "flow_shift": 9,
        "force_offload": True,
        "frame_rate": 16,
        "guidance_scale": 6,
        "height": 360,
        "lora_strength": 1,
        "lora_url": "",
        "num_frames": 66,
        "prompt": "A video in the style of RCN, RCN The video clip features a close-up of a person's face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person's facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person's gaze conveying a sense of determination or resolve.\n",
        "scheduler": "DPMSolverMultistepScheduler",
        "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_ShG**********************************

This is your API token. Keep it to yourself.

Run deepfates/hunyuan-arcane 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-arcane:d294d8b37fd60ff1499e631d054250ae51709fe87e8e32d563dd98c610a40bad",
    "input": {
      "crf": 19,
      "denoise_strength": 1,
      "enhance_double": true,
      "enhance_end": 1,
      "enhance_single": true,
      "enhance_start": 0,
      "enhance_weight": 0.3,
      "flow_shift": 9,
      "force_offload": true,
      "frame_rate": 16,
      "guidance_scale": 6,
      "height": 360,
      "lora_strength": 1,
      "lora_url": "",
      "num_frames": 66,
      "prompt": "A video in the style of RCN, RCN The video clip features a close-up of a person\'s face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person\'s facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person\'s gaze conveying a sense of determination or resolve.\\n",
      "scheduler": "DPMSolverMultistepScheduler",
      "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": "3e68mry9exrmc0cmk6wa49q8er",
  "model": "deepfates/hunyuan-arcane",
  "version": "d294d8b37fd60ff1499e631d054250ae51709fe87e8e32d563dd98c610a40bad",
  "input": {
    "crf": 19,
    "denoise_strength": 1,
    "enhance_double": true,
    "enhance_end": 1,
    "enhance_single": true,
    "enhance_start": 0,
    "enhance_weight": 0.3,
    "flow_shift": 9,
    "force_offload": true,
    "frame_rate": 16,
    "guidance_scale": 6,
    "height": 360,
    "lora_strength": 1,
    "lora_url": "",
    "num_frames": 66,
    "prompt": "A video in the style of RCN, RCN The video clip features a close-up of a person's face, focusing on their eyes and part of their hair. The individual has a serious or contemplative expression, with their eyes looking directly at the camera. The background is blurred, with warm, orange hues that suggest a setting sun or a fiery environment. The person is wearing large, geometric earrings that add a distinctive touch to their appearance. The lighting highlights the person's facial features, particularly their eyes, which are the central focus of the shot. The overall mood of the clip is intense and focused, with the person's gaze conveying a sense of determination or resolve.\n",
    "scheduler": "DPMSolverMultistepScheduler",
    "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_bbac0c22-5c67-4679-a1b7-5f62fde185e2.safetensors\n📂 Extracting tar contents...\n✅ Found lora_comfyui.safetensors in tar\n✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_bbac0c22-5c67-4679-a1b7-5f62fde185e2.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\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\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,  1.59it/s]\n[ComfyUI] Loading checkpoint shards:  50%|█████     | 2/4 [00:01<00:01,  1.63it/s]\n[ComfyUI] Loading checkpoint shards:  75%|███████▌  | 3/4 [00:01<00:00,  1.63it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.39it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.03it/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: 137\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_bbac0c22-5c67-4679-a1b7-5f62fde185e2 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,  2.43s/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<01:37,  2.28s/it]\n[ComfyUI] 16%|█▌        | 8/50 [00:18<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,  2.29s/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,  2.30s/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=12.760 GB\n[ComfyUI] Max allocated memory: max_memory=15.559 GB\n[ComfyUI] Max reserved memory: max_reserved=16.875 GB\n[ComfyUI]\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\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,  1.27s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00,  1.31s/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, 28.19it/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,  2.47it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00,  2.97it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00,  2.88it/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, 84.83it/s]\n[ComfyUI] Prompt executed in 149.98 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/rTEAzQPKBh6yBZJNbhr3e0JSESw5XUGxdweoxB4qbN9UhZIUA/HunyuanVideo_00001.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-01-24T19:10:11.831Z",
  "started_at": "2025-01-24T19:10:47.973459Z",
  "completed_at": "2025-01-24T19:13:24.512476Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/3e68mry9exrmc0cmk6wa49q8er/cancel",
    "get": "https://api.replicate.com/v1/predictions/3e68mry9exrmc0cmk6wa49q8er",
    "stream": "https://stream.replicate.com/v1/files/bsvm-bls2hb76ci4uatl7kghywddmzladbcd4vatfxkupktf2tsm2st4q",
    "web": "https://replicate.com/p/3e68mry9exrmc0cmk6wa49q8er"
  },
  "metrics": {
    "predict_time": 156.539016993,
    "total_time": 192.681476
  }
}

Generated in

2 minutes 37 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_bbac0c22-5c67-4679-a1b7-5f62fde185e2.safetensors 📂 Extracting tar contents... ✅ Found lora_comfyui.safetensors in tar ✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_bbac0c22-5c67-4679-a1b7-5f62fde185e2.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 [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [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, 1.59it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.63it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.63it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.39it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.03it/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: 137 [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_bbac0c22-5c67-4679-a1b7-5f62fde185e2 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, 2.43s/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<01:37, 2.28s/it] [ComfyUI] 16%|█▌ | 8/50 [00:18<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, 2.29s/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, 2.30s/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=12.760 GB [ComfyUI] Max allocated memory: max_memory=15.559 GB [ComfyUI] Max reserved memory: max_reserved=16.875 GB [ComfyUI] Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [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, 1.27s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.31s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.19it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.47it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.97it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.88it/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, 84.83it/s] [ComfyUI] Prompt executed in 149.98 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