deepfates
/
hunyuan-joker
Hunyuan-Video model finetuned on Joker (2019). Trigger word is "JKR". Use "A video in the style of JKR, JKR" at the beginning of your prompt for best results.
- Public
- 88 runs
-
H100
- Fine-tune
Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757IDk55qekyb05rmc0cmjps9t58by4StatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- crf
- 19
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR 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. The 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
- 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 JKR, JKR 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 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { crf: 19, seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.
Output
{ "completed_at": "2025-01-24T00:30:30.274660Z", "created_at": "2025-01-24T00:25:10.145000Z", "data_removed": false, "error": null, "id": "k55qekyb05rmc0cmjps9t58by4", "input": { "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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: 144\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, 2.29s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.01s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 2.14s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/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, 2.29s/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<01:24, 2.30s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it]\n[ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it]\n[ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.29s/it]\n[ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it]\n[ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it]\n[ComfyUI] 44%|████▍ | 22/50 [00:50<01:04, 2.29s/it]\n[ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.29s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:56<00:57, 2.29s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [00:59<00:54, 2.29s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.29s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:03<00:50, 2.29s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.29s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.29s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.29s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:12<00:41, 2.29s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:38, 2.29s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.29s/it]\n[ComfyUI] 70%|███████ | 35/50 [01:19<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 [01:26<00:27, 2.29s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:28<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 [01:35<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 [01:42<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 [01:51<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, 2.28s/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=16.281 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, 1.24s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/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, 25.92it/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, 2.56it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.96it/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, 65.14it/s]\n[ComfyUI] Prompt executed in 132.48 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": 133.998905743, "total_time": 320.12966 }, "output": "https://replicate.delivery/xezq/NqHWXYPnsBJCLVVbYseQk0Wjon5fElMTcE3Z3oNR39eNJSQoA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T00:28:16.275754Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-xj77qzr2pwysgqox2i42m56eo7x4tw4n7xuway4rl5wpelvjcqgq", "get": "https://api.replicate.com/v1/predictions/k55qekyb05rmc0cmjps9t58by4", "cancel": "https://api.replicate.com/v1/predictions/k55qekyb05rmc0cmjps9t58by4/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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: 144 [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, 2.29s/it] [ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.01s/it] [ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 2.14s/it] [ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/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, 2.29s/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<01:24, 2.30s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it] [ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it] [ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it] [ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it] [ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it] [ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.29s/it] [ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it] [ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it] [ComfyUI] 44%|████▍ | 22/50 [00:50<01:04, 2.29s/it] [ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it] [ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.29s/it] [ComfyUI] 50%|█████ | 25/50 [00:56<00:57, 2.29s/it] [ComfyUI] 52%|█████▏ | 26/50 [00:59<00:54, 2.29s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.29s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:03<00:50, 2.29s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.29s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.29s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.29s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:12<00:41, 2.29s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:15<00:38, 2.29s/it] [ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.29s/it] [ComfyUI] 70%|███████ | 35/50 [01:19<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 [01:26<00:27, 2.29s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:28<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 [01:35<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 [01:42<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 [01:51<00:02, 2.29s/it] [ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.29s/it] [ComfyUI] 100%|██████████| 50/50 [01:54<00:00, 2.28s/it] [ComfyUI] Allocated memory: memory=12.300 GB [ComfyUI] Max allocated memory: max_memory=15.099 GB [ComfyUI] Max reserved memory: max_reserved=16.281 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, 1.24s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 25.92it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.56it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.04it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.96it/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, 65.14it/s] [ComfyUI] Prompt executed in 132.48 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757IDecstm3wdmdrmc0cmjpf88aq7dwStatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- crf
- 19
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR 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 JKR, JKR 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 replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { crf: 19, seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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": "2025-01-24T00:08:55.724582Z", "created_at": "2025-01-24T00:03:03.715000Z", "data_removed": false, "error": null, "id": "ecstm3wdmdrmc0cmjpf88aq7dw", "input": { "crf": 19, "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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: 145\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77\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]\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, 2.14s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/it]\n[ComfyUI] 10%|█ | 5/50 [00:10<01:40, 2.23s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:13<01:39, 2.25s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:15<01:37, 2.26s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.27s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/it]\n[ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.28s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.28s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:27<01:26, 2.28s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it]\n[ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it]\n[ComfyUI] 38%|███▊ | 19/50 [00:43<01:10, 2.29s/it]\n[ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it]\n[ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it]\n[ComfyUI] 44%|████▍ | 22/50 [00:49<01:04, 2.29s/it]\n[ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.30s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.30s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:12<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 [01:19<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 [01:26<00:27, 2.30s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:28<00:25, 2.30s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<00:04, 2.30s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [01:51<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=16.344 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, 1.47s/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, 25.44it/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, 3.01it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.93it/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, 64.96it/s]\n[ComfyUI] Prompt executed in 134.24 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": 149.077897847, "total_time": 352.009582 }, "output": "https://replicate.delivery/xezq/kc8eXl7MCFRGGimNxP5tyfLLCDgddVKEouOYyWEEbPwXwIIUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T00:06:26.646684Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-cllbvuza5ewwoxcqdnnnb5rrapekshhjbxxgdcuanczjragtq7yq", "get": "https://api.replicate.com/v1/predictions/ecstm3wdmdrmc0cmjpf88aq7dw", "cancel": "https://api.replicate.com/v1/predictions/ecstm3wdmdrmc0cmjpf88aq7dw/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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: 145 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77 [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] [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, 2.14s/it] [ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/it] [ComfyUI] 10%|█ | 5/50 [00:10<01:40, 2.23s/it] [ComfyUI] 12%|█▏ | 6/50 [00:13<01:39, 2.25s/it] [ComfyUI] 14%|█▍ | 7/50 [00:15<01:37, 2.26s/it] [ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.27s/it] [ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/it] [ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.28s/it] [ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.28s/it] [ComfyUI] 24%|██▍ | 12/50 [00:27<01:26, 2.28s/it] [ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it] [ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it] [ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it] [ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it] [ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it] [ComfyUI] 38%|███▊ | 19/50 [00:43<01:10, 2.29s/it] [ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it] [ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it] [ComfyUI] 44%|████▍ | 22/50 [00:49<01:04, 2.29s/it] [ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it] [ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it] [ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.30s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.30s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:12<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 [01:19<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 [01:26<00:27, 2.30s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:28<00:25, 2.30s/it] [ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it] [ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it] [ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<00:04, 2.30s/it] [ComfyUI] 98%|█████████▊| 49/50 [01:51<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=16.344 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, 1.47s/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, 25.44it/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, 3.01it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.93it/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, 64.96it/s] [ComfyUI] Prompt executed in 134.24 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757ID28wj1x8e9drm80cmjrxsxnpcc4StatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea
- frame_rate
- 16
- num_frames
- 66
- lora_strength
- 1
- guidance_scale
- 6
{ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea", frame_rate: 16, num_frames: 66, lora_strength: 1, guidance_scale: 6 } } ); // 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-24T03:02:42.773462Z", "created_at": "2025-01-24T02:54:00.267000Z", "data_removed": false, "error": null, "id": "28wj1x8e9drm80cmjrxsxnpcc4", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip shows a man smoking a cigarette in a dimly light room. The ember glows as he inhales and then he sighs a cloud of smoke. The camera pans left to follow the smoke as it blows out the window toward the moonlit sea", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }, "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\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, 2.01s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 2.14s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/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, 2.28s/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, 2.29s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<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<01:08, 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 [00:56<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 [01:03<00:50, 2.30s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 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 [01:42<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 [01:49<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=15.969 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, 1.46s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/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, 28.64it/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, 2.55it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.99it/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, 84.37it/s]\n[ComfyUI] Prompt executed in 125.19 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": 138.711661041, "total_time": 522.506462 }, "output": "https://replicate.delivery/xezq/c3hOeqrpGoSFLahLPuhzYFn8Fp74UKTfMr7w2HztSOrSTLIUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T03:00:24.061801Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-4tgyze5cm322xr54xh45irq5lloclxccwfddxx6gajsvijdgcnfq", "get": "https://api.replicate.com/v1/predictions/28wj1x8e9drm80cmjrxsxnpcc4", "cancel": "https://api.replicate.com/v1/predictions/28wj1x8e9drm80cmjrxsxnpcc4/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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 [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, 2.01s/it] [ComfyUI] 6%|▌ | 3/50 [00:06<01:40, 2.14s/it] [ComfyUI] 8%|▊ | 4/50 [00:08<01:41, 2.20s/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, 2.28s/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, 2.29s/it] [ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.30s/it] [ComfyUI] 30%|███ | 15/50 [00:33<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<01:08, 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 [00:56<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 [01:03<00:50, 2.30s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it] [ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 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 [01:42<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 [01:49<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=15.969 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, 1.46s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/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, 28.64it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.55it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.99it/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, 84.37it/s] [ComfyUI] Prompt executed in 125.19 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757ID0sqh2hbmcsrmc0cmjs3s2kmtemStatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace. In the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting. In the distance
- frame_rate
- 16
- num_frames
- 66
- lora_strength
- 1
- guidance_scale
- 6
{ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace.\nIn the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting.\nIn the distance", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace.\nIn the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting.\nIn the distance", frame_rate: 16, num_frames: 66, lora_strength: 1, guidance_scale: 6 } } ); // 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace.\nIn the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting.\nIn the distance", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace.\\nIn the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting.\\nIn the distance", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-24T03:54:34.002443Z", "created_at": "2025-01-24T03:07:32.838000Z", "data_removed": false, "error": null, "id": "0sqh2hbmcsrmc0cmjs3s2kmtem", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a horse-drawn carriage traveling along a foggy, winding road. The road is lined with trees on both sides, creating a dense and mysterious atmosphere. The carriage is a traditional style with four large wheels and a roof, pulled by a single horse. The horse is dark in color, possibly black or dark brown, and seems to be moving at a leisurely pace.\nIn the foreground, the road is clearly visible, with rocks and vegetation along the sides. The fog is thick, limiting visibility and adding to the sense of isolation and mystery. The trees are covered in leaves, suggesting a late spring or summer setting.\nIn the distance", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }, "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: 144\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<01:54, 2.34s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:04<01:37, 2.04s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:06<01:41, 2.16s/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<01:34, 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<01:15, 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 [01:34<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, 2.30s/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=16.281 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, 1.26s/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, 25.59it/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, 2.99it/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, 64.70it/s]\n[ComfyUI] Prompt executed in 133.43 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": 136.477938264, "total_time": 2821.164443 }, "output": "https://replicate.delivery/xezq/Ld34xiEBEuLfJ6WJOR5SQy3jMuMt6PbbOQEQDzfAsUT5DMIUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T03:52:17.524505Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-25jqrhawdsef3b4anpms5r5lpp5ufckbvgct4tnfieunwyerwd6a", "get": "https://api.replicate.com/v1/predictions/0sqh2hbmcsrmc0cmjs3s2kmtem", "cancel": "https://api.replicate.com/v1/predictions/0sqh2hbmcsrmc0cmjs3s2kmtem/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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: 144 [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<01:54, 2.34s/it] [ComfyUI] 4%|▍ | 2/50 [00:04<01:37, 2.04s/it] [ComfyUI] 6%|▌ | 3/50 [00:06<01:41, 2.16s/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<01:34, 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<01:15, 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 [01:34<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, 2.30s/it] [ComfyUI] Allocated memory: memory=12.300 GB [ComfyUI] Max allocated memory: max_memory=15.099 GB [ComfyUI] Max reserved memory: max_reserved=16.281 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, 1.26s/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, 25.59it/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, 2.99it/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, 64.70it/s] [ComfyUI] Prompt executed in 133.43 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757IDctg617mn7xrmc0cmk5q98pwabrStatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR 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.
- frame_rate
- 16
- num_frames
- 66
- lora_strength
- 1
- guidance_scale
- 6
{ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR 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.", frame_rate: 16, num_frames: 66, lora_strength: 1, guidance_scale: 6 } } ); // 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-24T17:55:03.034584Z", "created_at": "2025-01-24T17:49:08.799000Z", "data_removed": false, "error": null, "id": "ctg617mn7xrmc0cmk5q98pwabr", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR 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.", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }, "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_25190143-30c9-42ef-9c30-b6f04950d8c6.safetensors\n📂 Extracting tar contents...\n✅ Found lora_comfyui.safetensors in tar\n✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_25190143-30c9-42ef-9c30-b6f04950d8c6.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 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_25190143-30c9-42ef-9c30-b6f04950d8c6 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', ['num_train_timesteps', 'n_tokens'])])\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, 2.28s/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, 2.29s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:27<01:27, 2.29s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:36<01:18, 2.29s/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<01:08, 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<01:01, 2.30s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<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=16.281 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, 1.46s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/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, 26.04it/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, 2.56it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.95it/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, 64.97it/s]\n[ComfyUI] Prompt executed in 141.79 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": 147.969095851, "total_time": 354.235584 }, "output": "https://replicate.delivery/xezq/VjWg365ZXyprJVErAg2675kg6TiH9e6KzHv37zriQjg7LMEKA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T17:52:35.065488Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-da4flkhwtwi6dtuez6ob4iawdian3jom64ukasqox6jc2r2tu6fa", "get": "https://api.replicate.com/v1/predictions/ctg617mn7xrmc0cmk5q98pwabr", "cancel": "https://api.replicate.com/v1/predictions/ctg617mn7xrmc0cmk5q98pwabr/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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_25190143-30c9-42ef-9c30-b6f04950d8c6.safetensors 📂 Extracting tar contents... ✅ Found lora_comfyui.safetensors in tar ✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_25190143-30c9-42ef-9c30-b6f04950d8c6.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 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_25190143-30c9-42ef-9c30-b6f04950d8c6 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', ['num_train_timesteps', 'n_tokens'])]) [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, 2.28s/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, 2.29s/it] [ComfyUI] 24%|██▍ | 12/50 [00:27<01:27, 2.29s/it] [ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it] [ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it] [ComfyUI] 32%|███▏ | 16/50 [00:36<01:18, 2.29s/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<01:08, 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<01:01, 2.30s/it] [ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it] [ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it] [ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it] [ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it] [ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<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=16.281 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, 1.46s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 26.04it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.56it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.04it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.95it/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, 64.97it/s] [ComfyUI] Prompt executed in 141.79 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757IDpqrr4newedrme0cmk5xatws3b4StatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene
- frame_rate
- 16
- num_frames
- 66
- lora_strength
- 1
- guidance_scale
- 6
{ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene", frame_rate: 16, num_frames: 66, lora_strength: 1, guidance_scale: 6 } } ); // 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-24T18:13:54.842820Z", "created_at": "2025-01-24T18:02:33.459000Z", "data_removed": false, "error": null, "id": "pqrr4newedrme0cmk5xatws3b4", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip features three individuals standing in a red elevator. The person on the left is wearing a purple uniform with gold buttons and a matching cap, standing with one hand on the elevator door. The person in the center is seated in a chair, wearing a light blue suit with a white shirt and a black bow tie. This individual has a mustache and is looking directly at the camera. The person on the right is also wearing a purple uniform with a cap that has the word BOBBY written on it. The background of the elevator is a vibrant red, creating a striking contrast with the purple uniforms. The overall scene", "frame_rate": 16, "num_frames": 66, "lora_strength": 1, "guidance_scale": 6 }, "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_0eca7b85-d89f-414b-bc60-febdbceeae93.safetensors\n📂 Extracting tar contents...\n✅ Found lora_comfyui.safetensors in tar\n✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_0eca7b85-d89f-414b-bc60-febdbceeae93.safetensors\n----------------------------------------\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: 138\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_0eca7b85-d89f-414b-bc60-febdbceeae93 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<01:53, 2.31s/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, 2.27s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/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, 2.29s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/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<01:08, 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<01:01, 2.30s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it]\n[ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<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=16.281 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, 1.46s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/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, 25.84it/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, 2.55it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.94it/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, 65.33it/s]\n[ComfyUI] Prompt executed in 139.81 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": 150.243649583, "total_time": 681.38382 }, "output": "https://replicate.delivery/xezq/7nEBiiZouFZaEBMHaAhSNmhlNugfVgAG30sLBvJfhNtipYIUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-24T18:11:24.599170Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-cnmqj4wjochxb6j37liecmdlmvkkdteophmcymrf5ilssug6p6aq", "get": "https://api.replicate.com/v1/predictions/pqrr4newedrme0cmk5xatws3b4", "cancel": "https://api.replicate.com/v1/predictions/pqrr4newedrme0cmk5xatws3b4/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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_0eca7b85-d89f-414b-bc60-febdbceeae93.safetensors 📂 Extracting tar contents... ✅ Found lora_comfyui.safetensors in tar ✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_0eca7b85-d89f-414b-bc60-febdbceeae93.safetensors ---------------------------------------- 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: 138 [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_0eca7b85-d89f-414b-bc60-febdbceeae93 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<01:53, 2.31s/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, 2.27s/it] [ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it] [ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/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, 2.29s/it] [ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it] [ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/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<01:08, 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<01:01, 2.30s/it] [ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.30s/it] [ComfyUI] 50%|█████ | 25/50 [00:56<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 [01:03<00:50, 2.30s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.30s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 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 [01:19<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 [01:26<00:27, 2.30s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:29<00:25, 2.30s/it] [ComfyUI] 80%|████████ | 40/50 [01:31<00:22, 2.30s/it] [ComfyUI] 82%|████████▏ | 41/50 [01:33<00:20, 2.30s/it] [ComfyUI] 84%|████████▍ | 42/50 [01:35<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 [01:42<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 [01:49<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=16.281 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, 1.46s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.24s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 25.84it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.55it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.03it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.94it/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, 65.33it/s] [ComfyUI] Prompt executed in 139.81 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.mp4Prediction
deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757IDg3yphqxy8hrme0cmn418px845rStatusSucceededSourceAPIHardwareH100Total durationCreatedInput
- seed
- 12345
- steps
- 50
- width
- 640
- height
- 360
- prompt
- A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway
- frame_rate
- 16
- num_frames
- 66
- lora_strength
- 1.3
- guidance_scale
- 6
{ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway", "frame_rate": 16, "num_frames": 66, "lora_strength": 1.3, "guidance_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", { input: { seed: 12345, steps: 50, width: 640, height: 360, prompt: "A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway", frame_rate: 16, num_frames: 66, lora_strength: 1.3, guidance_scale: 6 } } ); // 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 replicateImport the client:import replicateRun deepfates/hunyuan-joker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deepfates/hunyuan-joker:7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", input={ "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway", "frame_rate": 16, "num_frames": 66, "lora_strength": 1.3, "guidance_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deepfates/hunyuan-joker 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": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway", "frame_rate": 16, "num_frames": 66, "lora_strength": 1.3, "guidance_scale": 6 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-27T18:30:27.852625Z", "created_at": "2025-01-27T18:25:16.868000Z", "data_removed": false, "error": null, "id": "g3yphqxy8hrme0cmn418px845r", "input": { "seed": 12345, "steps": 50, "width": 640, "height": 360, "prompt": "A video in the style of JKR, JKR The video clip depicts a person walking down a long hallway", "frame_rate": 16, "num_frames": 66, "lora_strength": 1.3, "guidance_scale": 6 }, "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_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f.safetensors\n📂 Extracting tar contents...\n✅ Found lora_comfyui.safetensors in tar\n✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f.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 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 23\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 24\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_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f with strength: 1.3\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<01:52, 2.30s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.02s/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, 2.27s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/it]\n[ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.28s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.29s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:27<01:26, 2.29s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it]\n[ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it]\n[ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it]\n[ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.29s/it]\n[ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it]\n[ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it]\n[ComfyUI] 44%|████▍ | 22/50 [00:49<01:04, 2.29s/it]\n[ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.29s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:56<00:57, 2.29s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [00:59<00:55, 2.29s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.29s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:03<00:50, 2.29s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.29s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.29s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.29s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:12<00:41, 2.29s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:15<00:38, 2.29s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.29s/it]\n[ComfyUI] 70%|███████ | 35/50 [01:19<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 [01:26<00:27, 2.29s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [01:28<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 [01:35<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 [01:42<00:11, 2.30s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09, 2.31s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06, 2.31s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [01:49<00:04, 2.30s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [01:51<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=16.281 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, 1.24s/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, 26.09it/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, 2.55it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.94it/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, 64.88it/s]\n[ComfyUI] Prompt executed in 142.05 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": 150.388640895, "total_time": 310.984625 }, "output": "https://replicate.delivery/xezq/k4THIiBWfrXrc6F1uHhEa1mfoPCqZjVYhTXKILOUZ4UDLYJUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-27T18:27:57.463984Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bsvm-xokppvfd2rikrgpgsbw5owpmiacnoaqvnacv2ymiwiypintnqika", "get": "https://api.replicate.com/v1/predictions/g3yphqxy8hrme0cmn418px845r", "cancel": "https://api.replicate.com/v1/predictions/g3yphqxy8hrme0cmn418px845r/cancel" }, "version": "7a1025aea09dce5abeeca5bf3555e3031eff118154b1e2e59f71b644bda98757" }Generated inSeed 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_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f.safetensors 📂 Extracting tar contents... ✅ Found lora_comfyui.safetensors in tar ✨ Successfully copied LoRA to: ComfyUI/models/loras/replicate_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f.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 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 23 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 24 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_0a3031bc-2f2d-4f4b-bcf9-4ada2ad7705f with strength: 1.3 [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<01:52, 2.30s/it] [ComfyUI] 4%|▍ | 2/50 [00:04<01:36, 2.02s/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, 2.27s/it] [ComfyUI] 16%|█▌ | 8/50 [00:17<01:35, 2.28s/it] [ComfyUI] 18%|█▊ | 9/50 [00:20<01:33, 2.28s/it] [ComfyUI] 20%|██ | 10/50 [00:22<01:31, 2.28s/it] [ComfyUI] 22%|██▏ | 11/50 [00:24<01:29, 2.29s/it] [ComfyUI] 24%|██▍ | 12/50 [00:27<01:26, 2.29s/it] [ComfyUI] 26%|██▌ | 13/50 [00:29<01:24, 2.29s/it] [ComfyUI] 28%|██▊ | 14/50 [00:31<01:22, 2.29s/it] [ComfyUI] 30%|███ | 15/50 [00:33<01:20, 2.29s/it] [ComfyUI] 32%|███▏ | 16/50 [00:36<01:17, 2.29s/it] [ComfyUI] 34%|███▍ | 17/50 [00:38<01:15, 2.29s/it] [ComfyUI] 36%|███▌ | 18/50 [00:40<01:13, 2.29s/it] [ComfyUI] 38%|███▊ | 19/50 [00:43<01:11, 2.29s/it] [ComfyUI] 40%|████ | 20/50 [00:45<01:08, 2.29s/it] [ComfyUI] 42%|████▏ | 21/50 [00:47<01:06, 2.29s/it] [ComfyUI] 44%|████▍ | 22/50 [00:49<01:04, 2.29s/it] [ComfyUI] 46%|████▌ | 23/50 [00:52<01:01, 2.29s/it] [ComfyUI] 48%|████▊ | 24/50 [00:54<00:59, 2.29s/it] [ComfyUI] 50%|█████ | 25/50 [00:56<00:57, 2.29s/it] [ComfyUI] 52%|█████▏ | 26/50 [00:59<00:55, 2.29s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:01<00:52, 2.29s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:03<00:50, 2.29s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:06<00:48, 2.29s/it] [ComfyUI] 60%|██████ | 30/50 [01:08<00:45, 2.29s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:10<00:43, 2.29s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:12<00:41, 2.29s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:15<00:38, 2.29s/it] [ComfyUI] 68%|██████▊ | 34/50 [01:17<00:36, 2.29s/it] [ComfyUI] 70%|███████ | 35/50 [01:19<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 [01:26<00:27, 2.29s/it] [ComfyUI] 78%|███████▊ | 39/50 [01:28<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 [01:35<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 [01:42<00:11, 2.30s/it] [ComfyUI] 92%|█████████▏| 46/50 [01:45<00:09, 2.31s/it] [ComfyUI] 94%|█████████▍| 47/50 [01:47<00:06, 2.31s/it] [ComfyUI] 96%|█████████▌| 48/50 [01:49<00:04, 2.30s/it] [ComfyUI] 98%|█████████▊| 49/50 [01:51<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=16.281 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, 1.24s/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, 26.09it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 2.55it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 3.03it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:00<00:00, 2.94it/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, 64.88it/s] [ComfyUI] Prompt executed in 142.05 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
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