fofr / hunyuan-take-on-me
Hunyuan fine-tuned on 3s clips from A-ha's Take on Me music video, use TKONME trigger
- Public
- 64 runs
-
H100
- Fine-tune
Prediction
fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420IDbgechwpv4xrme0cm91kaz29vqwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- crf
- 19
- steps
- 50
- width
- 640
- height
- 360
- prompt
- In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.
- lora_url
- flow_shift
- 9
- frame_rate
- 24
- num_frames
- 85
- force_offload
- lora_strength
- 0.85
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", { input: { crf: 19, steps: 50, width: 640, height: 360, prompt: "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", lora_url: "", flow_shift: 9, frame_rate: 24, num_frames: 85, force_offload: true, lora_strength: 0.85, 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 fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", input={ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": True, "lora_strength": 0.85, "guidance_scale": 6, "denoise_strength": 1 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run fofr/hunyuan-take-on-me 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": "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "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": "2025-01-09T00:15:56.045993Z", "created_at": "2025-01-09T00:11:27.911000Z", "data_removed": false, "error": null, "id": "bgechwpv4xrme0cm91kaz29vqw", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 171269911\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.58it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.63it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.66it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.38it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.04it/s]\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 34\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 35\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] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: lora_comfyui with strength: 0.85\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] Loading 1 new model\n[ComfyUI] loaded completely 0.0 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (360, 640, 85)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('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<02:09, 2.64s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:06<02:30, 3.13s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:09<02:34, 3.28s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.36s/it]\n[ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.40s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:19<02:30, 3.42s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.44s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.45s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.46s/it]\n[ComfyUI] 20%|██ | 10/50 [00:33<02:18, 3.46s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:37<02:15, 3.47s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.47s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:44<02:08, 3.47s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.47s/it]\n[ComfyUI] 30%|███ | 15/50 [00:51<02:01, 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Allocated memory: memory=12.759 GB\n[ComfyUI] Max allocated memory: max_memory=16.810 GB\n[ComfyUI] Max reserved memory: max_reserved=18.688 GB\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:01<00:01, 1.52s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.31s/it]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.42it/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, 1.18it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.39it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.36it/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, 49.09it/s]\n[ComfyUI] Prompt executed in 208.11 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 212.95651648, "total_time": 268.134993 }, "output": "https://replicate.delivery/xezq/4MZJp0bfMmQzYysOOyCssH1U4UrGoPtWl08dFJLYe1F8cMDUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-09T00:12:23.089477Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zf5bfjbqopp3pudrrjzcdpr62gt5kmyhh2fzeroisnrjy5sxxujq", "get": "https://api.replicate.com/v1/predictions/bgechwpv4xrme0cm91kaz29vqw", "cancel": "https://api.replicate.com/v1/predictions/bgechwpv4xrme0cm91kaz29vqw/cancel" }, "version": "fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420" }Generated inRandom seed set to: 171269911 Checking inputs ==================================== Checking weights ✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae ✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models ==================================== Running workflow [ComfyUI] got prompt Executing node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.58it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.63it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.66it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.38it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.04it/s] [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 34 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 35 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] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: lora_comfyui with strength: 0.85 [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (360, 640, 85) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps [ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('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<02:09, 2.64s/it] [ComfyUI] 4%|▍ | 2/50 [00:06<02:30, 3.13s/it] [ComfyUI] 6%|▌ | 3/50 [00:09<02:34, 3.28s/it] [ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.36s/it] [ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.40s/it] [ComfyUI] 12%|█▏ | 6/50 [00:19<02:30, 3.42s/it] [ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.44s/it] [ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.45s/it] [ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.46s/it] [ComfyUI] 20%|██ | 10/50 [00:33<02:18, 3.46s/it] [ComfyUI] 22%|██▏ | 11/50 [00:37<02:15, 3.47s/it] [ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.47s/it] [ComfyUI] 26%|██▌ | 13/50 [00:44<02:08, 3.47s/it] [ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.47s/it] [ComfyUI] 30%|███ | 15/50 [00:51<02:01, 3.47s/it] [ComfyUI] 32%|███▏ | 16/50 [00:54<01:58, 3.47s/it] [ComfyUI] 34%|███▍ | 17/50 [00:58<01:54, 3.47s/it] [ComfyUI] 36%|███▌ | 18/50 [01:01<01:51, 3.47s/it] [ComfyUI] 38%|███▊ | 19/50 [01:05<01:47, 3.47s/it] [ComfyUI] 40%|████ | 20/50 [01:08<01:44, 3.47s/it] [ComfyUI] 42%|████▏ | 21/50 [01:12<01:40, 3.47s/it] [ComfyUI] 44%|████▍ | 22/50 [01:15<01:37, 3.47s/it] [ComfyUI] 46%|████▌ | 23/50 [01:19<01:33, 3.47s/it] [ComfyUI] 48%|████▊ | 24/50 [01:22<01:30, 3.47s/it] [ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.47s/it] [ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.47s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.47s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:36<01:16, 3.47s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.47s/it] [ComfyUI] 60%|██████ | 30/50 [01:43<01:09, 3.47s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:46<01:06, 3.47s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:50<01:02, 3.47s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:53<00:59, 3.47s/it] [ComfyUI] 68%|██████▊ | 34/50 [01:57<00:55, 3.47s/it] [ComfyUI] 70%|███████ | 35/50 [02:00<00:52, 3.47s/it] [ComfyUI] 72%|███████▏ | 36/50 [02:04<00:48, 3.47s/it] [ComfyUI] 74%|███████▍ | 37/50 [02:07<00:45, 3.47s/it] [ComfyUI] 76%|███████▌ | 38/50 [02:11<00:41, 3.47s/it] [ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.47s/it] [ComfyUI] 80%|████████ | 40/50 [02:18<00:34, 3.47s/it] [ComfyUI] 82%|████████▏ | 41/50 [02:21<00:31, 3.47s/it] [ComfyUI] 84%|████████▍ | 42/50 [02:25<00:27, 3.47s/it] [ComfyUI] 86%|████████▌ | 43/50 [02:28<00:24, 3.47s/it] [ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.47s/it] [ComfyUI] 90%|█████████ | 45/50 [02:35<00:17, 3.47s/it] [ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.47s/it] [ComfyUI] 94%|█████████▍| 47/50 [02:42<00:10, 3.47s/it] [ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.47s/it] [ComfyUI] 98%|█████████▊| 49/50 [02:49<00:03, 3.48s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.47s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it] [ComfyUI] Allocated memory: memory=12.759 GB [ComfyUI] Max allocated memory: max_memory=16.810 GB [ComfyUI] Max reserved memory: max_reserved=18.688 GB Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:01<00:01, 1.52s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.31s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.42it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 1.18it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.39it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.36it/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, 49.09it/s] [ComfyUI] Prompt executed in 208.11 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4Prediction
fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420IDwstz6p6tvsrm80cm91k8hqrr9gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- crf
- 19
- steps
- 50
- width
- 640
- height
- 360
- prompt
- In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.
- lora_url
- flow_shift
- 9
- frame_rate
- 24
- num_frames
- 85
- force_offload
- lora_strength
- 0.85
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", { input: { crf: 19, steps: 50, width: 640, height: 360, prompt: "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", lora_url: "", flow_shift: 9, frame_rate: 24, num_frames: 85, force_offload: true, lora_strength: 0.85, 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 fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", input={ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": True, "lora_strength": 0.85, "guidance_scale": 6, "denoise_strength": 1 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run fofr/hunyuan-take-on-me 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": "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "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": "2025-01-09T00:15:55.935079Z", "created_at": "2025-01-09T00:11:27.838000Z", "data_removed": false, "error": null, "id": "wstz6p6tvsrm80cm91k8hqrr9g", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, this video sequence is a sketched animations depicting a young woman with hair in a bun and loose strands, she looks up.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.85, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 2541832375\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:02<00:08, 2.77s/it]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.65s/it]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.15s/it]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00, 1.33it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00, 1.08s/it]\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 34\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 35\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] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: lora_comfyui with strength: 0.85\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] Loading 1 new model\n[ComfyUI] loaded completely 0.0 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (360, 640, 85)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('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<02:09, 2.64s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:06<02:29, 3.12s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:09<02:33, 3.27s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.35s/it]\n[ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.39s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:19<02:30, 3.41s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.43s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.44s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.45s/it]\n[ComfyUI] 20%|██ | 10/50 [00:33<02:18, 3.45s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.46s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.46s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it]\n[ComfyUI] 30%|███ | 15/50 [00:51<02:00, 3.46s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it]\n[ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it]\n[ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it]\n[ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it]\n[ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it]\n[ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it]\n[ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it]\n[ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it]\n[ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [01:29<01:22, 3.46s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:36<01:16, 3.46s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.46s/it]\n[ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [02:07<00:44, 3.46s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it]\n[ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it]\n[ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it]\n[ComfyUI] Allocated memory: memory=12.759 GB\n[ComfyUI] Max allocated memory: max_memory=16.810 GB\n[ComfyUI] Max reserved memory: max_reserved=18.688 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, 1.49s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.25s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.29s/it]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.63it/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, 1.19it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.37it/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, 48.57it/s]\n[ComfyUI] Prompt executed in 211.50 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 214.008555652, "total_time": 268.097079 }, "output": "https://replicate.delivery/xezq/P0eW0YKzzXSSRCN0fcSD0kmKqLRIkfDL6ftiOTa9fhyZnjZgC/HunyuanVideo_00001.mp4", "started_at": "2025-01-09T00:12:21.926524Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-omrd4qnc6fw2khk57qgomlmyly3zvw5dapsrjuuq42q2ifhmoebq", "get": "https://api.replicate.com/v1/predictions/wstz6p6tvsrm80cm91k8hqrr9g", "cancel": "https://api.replicate.com/v1/predictions/wstz6p6tvsrm80cm91k8hqrr9g/cancel" }, "version": "fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420" }Generated inRandom seed set to: 2541832375 Checking inputs ==================================== Checking weights ✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae ✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models ==================================== Running workflow [ComfyUI] got prompt Executing node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:02<00:08, 2.77s/it] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.65s/it] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.15s/it] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00, 1.33it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:04<00:00, 1.08s/it] [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 34 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 35 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] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: lora_comfyui with strength: 0.85 [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (360, 640, 85) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps [ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('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<02:09, 2.64s/it] [ComfyUI] 4%|▍ | 2/50 [00:06<02:29, 3.12s/it] [ComfyUI] 6%|▌ | 3/50 [00:09<02:33, 3.27s/it] [ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.35s/it] [ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.39s/it] [ComfyUI] 12%|█▏ | 6/50 [00:19<02:30, 3.41s/it] [ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.43s/it] [ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.44s/it] [ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.45s/it] [ComfyUI] 20%|██ | 10/50 [00:33<02:18, 3.45s/it] [ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it] [ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.46s/it] [ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.46s/it] [ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it] [ComfyUI] 30%|███ | 15/50 [00:51<02:00, 3.46s/it] [ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it] [ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it] [ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it] [ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it] [ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it] [ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it] [ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it] [ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it] [ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it] [ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it] [ComfyUI] 52%|█████▏ | 26/50 [01:29<01:22, 3.46s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:36<01:16, 3.46s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it] [ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it] [ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.46s/it] [ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it] [ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it] [ComfyUI] 74%|███████▍ | 37/50 [02:07<00:44, 3.46s/it] [ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it] [ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it] [ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it] [ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it] [ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it] [ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it] [ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it] [ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it] [ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it] [ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it] [ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it] [ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it] [ComfyUI] Allocated memory: memory=12.759 GB [ComfyUI] Max allocated memory: max_memory=16.810 GB [ComfyUI] Max reserved memory: max_reserved=18.688 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, 1.49s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.25s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.29s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.63it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 1.19it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.37it/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, 48.57it/s] [ComfyUI] Prompt executed in 211.50 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4Prediction
fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420IDyecd4jc909rme0cm903tajv73mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- crf
- 19
- steps
- 50
- width
- 640
- height
- 360
- prompt
- In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.
- lora_url
- flow_shift
- 9
- frame_rate
- 24
- num_frames
- 85
- force_offload
- lora_strength
- 0.93
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.93, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", { input: { crf: 19, steps: 50, width: 640, height: 360, prompt: "In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.", lora_url: "", flow_shift: 9, frame_rate: 24, num_frames: 85, force_offload: true, lora_strength: 0.93, 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 fofr/hunyuan-take-on-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", input={ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": True, "lora_strength": 0.93, "guidance_scale": 6, "denoise_strength": 1 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run fofr/hunyuan-take-on-me 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": "fofr/hunyuan-take-on-me:fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.93, "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": "2025-01-08T22:32:55.944181Z", "created_at": "2025-01-08T22:27:20.962000Z", "data_removed": false, "error": null, "id": "yecd4jc909rme0cm903tajv73m", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of TKONME, two figures stand in a doorway, their forms a blend of photorealism and sketchy illustration. A cyberpunk woman in leather and a ghostly man rendered entirely in rough, chalk-like strokes. The setting shifts subtly between frames, with pencil-like lines and shapes appearing and disappearing around them, suggesting an unfinished or evolving environment.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.93, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 3814095492\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 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.58it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.63it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.64it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.40it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.04it/s]\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 75\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 75\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] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: lora_comfyui with strength: 0.93\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] Loading 1 new model\n[ComfyUI] loaded completely 0.0 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (360, 640, 85)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['num_train_timesteps', 'n_tokens'])])[ComfyUI]\n[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/50 [00:02<02:08, 2.63s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:06<02:29, 3.11s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:09<02:33, 3.27s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.34s/it]\n[ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.38s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:19<02:29, 3.41s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.42s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.43s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it]\n[ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.44s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.45s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.45s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it]\n[ComfyUI] 30%|███ | 15/50 [00:51<02:00, 3.46s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it]\n[ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it]\n[ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it]\n[ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it]\n[ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it]\n[ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it]\n[ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it]\n[ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it]\n[ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.46s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:35<01:16, 3.46s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.46s/it]\n[ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [02:07<00:44, 3.46s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it]\n[ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it]\n[ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it]\n[ComfyUI] Allocated memory: memory=12.759 GB\n[ComfyUI] Max allocated memory: max_memory=16.810 GB\n[ComfyUI] Max reserved memory: max_reserved=18.688 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, 1.49s/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, 28.80it/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, 1.19it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.38it/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, 48.88it/s]\n[ComfyUI] Prompt executed in 208.47 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 214.19158301, "total_time": 334.982181 }, "output": "https://replicate.delivery/xezq/xfpn8l18aqQmAyI6NQS7OgB9FsocrI9ohps1sSE4etgX8KDUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-08T22:29:21.752598Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-rphiqywh47hrszuiqrg5hkcjubl4d66fetuukfapsn4ysill56gq", "get": "https://api.replicate.com/v1/predictions/yecd4jc909rme0cm903tajv73m", "cancel": "https://api.replicate.com/v1/predictions/yecd4jc909rme0cm903tajv73m/cancel" }, "version": "fe4347d905314abbcb3270b1abd5aa370dff6d61d769b59ea8a91961c40ba420" }Generated inRandom seed set to: 3814095492 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 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.58it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.63it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.64it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.40it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.04it/s] [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 75 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 75 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] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: lora_comfyui with strength: 0.93 [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (360, 640, 85) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 85 frames in 22 latents at 640x368 with 50 inference steps [ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('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<02:08, 2.63s/it] [ComfyUI] 4%|▍ | 2/50 [00:06<02:29, 3.11s/it] [ComfyUI] 6%|▌ | 3/50 [00:09<02:33, 3.27s/it] [ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.34s/it] [ComfyUI] 10%|█ | 5/50 [00:16<02:32, 3.38s/it] [ComfyUI] 12%|█▏ | 6/50 [00:19<02:29, 3.41s/it] [ComfyUI] 14%|█▍ | 7/50 [00:23<02:27, 3.42s/it] [ComfyUI] 16%|█▌ | 8/50 [00:26<02:24, 3.43s/it] [ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it] [ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.44s/it] [ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it] [ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.45s/it] [ComfyUI] 26%|██▌ | 13/50 [00:44<02:07, 3.45s/it] [ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it] [ComfyUI] 30%|███ | 15/50 [00:51<02:00, 3.46s/it] [ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.46s/it] [ComfyUI] 34%|███▍ | 17/50 [00:57<01:54, 3.46s/it] [ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.46s/it] [ComfyUI] 38%|███▊ | 19/50 [01:04<01:47, 3.46s/it] [ComfyUI] 40%|████ | 20/50 [01:08<01:43, 3.46s/it] [ComfyUI] 42%|████▏ | 21/50 [01:11<01:40, 3.46s/it] [ComfyUI] 44%|████▍ | 22/50 [01:15<01:36, 3.46s/it] [ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.46s/it] [ComfyUI] 48%|████▊ | 24/50 [01:22<01:29, 3.46s/it] [ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.46s/it] [ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.46s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.46s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:35<01:16, 3.46s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.46s/it] [ComfyUI] 60%|██████ | 30/50 [01:42<01:09, 3.46s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.46s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:49<01:02, 3.46s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.46s/it] [ComfyUI] 68%|██████▊ | 34/50 [01:56<00:55, 3.46s/it] [ComfyUI] 70%|███████ | 35/50 [02:00<00:51, 3.46s/it] [ComfyUI] 72%|███████▏ | 36/50 [02:03<00:48, 3.46s/it] [ComfyUI] 74%|███████▍ | 37/50 [02:07<00:44, 3.46s/it] [ComfyUI] 76%|███████▌ | 38/50 [02:10<00:41, 3.46s/it] [ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.46s/it] [ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.46s/it] [ComfyUI] 82%|████████▏ | 41/50 [02:20<00:31, 3.46s/it] [ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.46s/it] [ComfyUI] 86%|████████▌ | 43/50 [02:27<00:24, 3.46s/it] [ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.46s/it] [ComfyUI] 90%|█████████ | 45/50 [02:34<00:17, 3.46s/it] [ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.46s/it] [ComfyUI] 94%|█████████▍| 47/50 [02:41<00:10, 3.46s/it] [ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.46s/it] [ComfyUI] 98%|█████████▊| 49/50 [02:48<00:03, 3.46s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.46s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.44s/it] [ComfyUI] Allocated memory: memory=12.759 GB [ComfyUI] Max allocated memory: max_memory=16.810 GB [ComfyUI] Max reserved memory: max_reserved=18.688 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, 1.49s/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, 28.80it/s] [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 50%|█████ | 1/2 [00:00<00:00, 1.19it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.41it/s] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:01<00:00, 1.38it/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, 48.88it/s] [ComfyUI] Prompt executed in 208.47 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4
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