fofr / hunyuan-ponponpon
Hunyuan fine-tuned on clips from the ponponpon video, use PONPONPON as keyword
- Public
- 131 runs
-
H100
- Fine-tune
Prediction
fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79cIDav7hpsnxehrm80cm99vv4v8y9wStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- crf
- 19
- steps
- 50
- width
- 640
- height
- 360
- prompt
- In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.
- lora_url
- flow_shift
- 9
- frame_rate
- 24
- num_frames
- 85
- force_offload
- lora_strength
- 0.65
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.65, "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 fofr/hunyuan-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", { input: { crf: 19, steps: 50, width: 640, height: 360, prompt: "In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.", lora_url: "", flow_shift: 9, frame_rate: 24, num_frames: 85, force_offload: true, lora_strength: 0.65, 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-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", input={ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": True, "lora_strength": 0.65, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/hunyuan-ponponpon 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-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.65, "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": "2025-01-09T09:54:55.325858Z", "created_at": "2025-01-09T09:49:08.852000Z", "data_removed": false, "error": null, "id": "av7hpsnxehrm80cm99vv4v8y9w", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, a surreal and vibrant animated music video. A Cyberpunk 2077 woman with tech-adorned hair and PURPLE skin is surrounded by dancing pink creatures with large circular mouths. The scene pulsates with energy as green starbursts, yellow swirls, and purple spheres create a dizzying backdrop.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": true, "lora_strength": 0.65, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 3346494426\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\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:02, 1.11it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.12it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:02<00:00, 1.17it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:02<00:00, 1.80it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:02<00:00, 1.48it/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: 73\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 69\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: 0.65\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<02:34, 3.28s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.36s/it]\n[ComfyUI] 10%|█ | 5/50 [00:16<02:33, 3.40s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:20<02:30, 3.43s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:23<02:28, 3.45s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:26<02:25, 3.46s/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, 3.46s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.46s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:44<02:08, 3.46s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.47s/it]\n[ComfyUI] 30%|███ | 15/50 [00:51<02:01, 3.47s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:54<01:57, 3.47s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:58<01:54, 3.47s/it]\n[ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 3.47s/it]\n[ComfyUI] 38%|███▊ | 19/50 [01:05<01:47, 3.47s/it]\n[ComfyUI] 40%|████ | 20/50 [01:08<01:44, 3.47s/it]\n[ComfyUI] 42%|████▏ | 21/50 [01:12<01:40, 3.47s/it]\n[ComfyUI] 44%|████▍ | 22/50 [01:15<01:37, 3.47s/it]\n[ComfyUI] 46%|████▌ | 23/50 [01:18<01:33, 3.47s/it]\n[ComfyUI] 48%|████▊ | 24/50 [01:22<01:30, 3.47s/it]\n[ComfyUI] 50%|█████ | 25/50 [01:25<01:26, 3.47s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [01:29<01:23, 3.47s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:32<01:19, 3.47s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:36<01:16, 3.47s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:39<01:12, 3.47s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:43<01:09, 3.47s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:46<01:05, 3.47s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:50<01:02, 3.47s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 3.47s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [01:57<00:55, 3.47s/it]\n[ComfyUI] 70%|███████ | 35/50 [02:00<00:52, 3.47s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [02:04<00:48, 3.47s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [02:07<00:45, 3.47s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [02:11<00:41, 3.47s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [02:14<00:38, 3.47s/it]\n[ComfyUI] 80%|████████ | 40/50 [02:17<00:34, 3.47s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [02:21<00:31, 3.47s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [02:24<00:27, 3.47s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [02:28<00:24, 3.47s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [02:31<00:20, 3.47s/it]\n[ComfyUI] 90%|█████████ | 45/50 [02:35<00:17, 3.47s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [02:38<00:13, 3.47s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [02:42<00:10, 3.47s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [02:45<00:06, 3.47s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [02:49<00:03, 3.47s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.47s/it]\n[ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.45s/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, 1.51s/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, 1.30s/it]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.34it/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, 1.40it/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, 47.58it/s]\n[ComfyUI] Prompt executed in 209.36 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": 211.971517507, "total_time": 346.473858 }, "output": "https://replicate.delivery/xezq/MkAVO0YtSn46HRB0pBynoBIOsgb7DN7ee51OLKouSKRv7UDUA/HunyuanVideo_00001.mp4", "started_at": "2025-01-09T09:51:23.354340Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-xjjrutyxw33jejacharwqfd7dqtklzygdhnxkqsocwozisv234dq", "get": "https://api.replicate.com/v1/predictions/av7hpsnxehrm80cm99vv4v8y9w", "cancel": "https://api.replicate.com/v1/predictions/av7hpsnxehrm80cm99vv4v8y9w/cancel" }, "version": "fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c" }Generated inRandom seed set to: 3346494426 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 Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:02, 1.11it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.12it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:02<00:00, 1.17it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:02<00:00, 1.80it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:02<00:00, 1.48it/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: 73 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 69 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: 0.65 [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<02:34, 3.28s/it] [ComfyUI] 8%|▊ | 4/50 [00:13<02:34, 3.36s/it] [ComfyUI] 10%|█ | 5/50 [00:16<02:33, 3.40s/it] [ComfyUI] 12%|█▏ | 6/50 [00:20<02:30, 3.43s/it] [ComfyUI] 14%|█▍ | 7/50 [00:23<02:28, 3.45s/it] [ComfyUI] 16%|█▌ | 8/50 [00:26<02:25, 3.46s/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, 3.46s/it] [ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.46s/it] [ComfyUI] 26%|██▌ | 13/50 [00:44<02:08, 3.46s/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<01:57, 3.47s/it] [ComfyUI] 34%|███▍ | 17/50 [00:58<01:54, 3.47s/it] [ComfyUI] 36%|███▌ | 18/50 [01:01<01:50, 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 [01:18<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<01:05, 3.47s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:50<01:02, 3.47s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:53<00:58, 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 [02:17<00:34, 3.47s/it] [ComfyUI] 82%|████████▏ | 41/50 [02:21<00:31, 3.47s/it] [ComfyUI] 84%|████████▍ | 42/50 [02:24<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, 3.47s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.47s/it] [ComfyUI] 100%|██████████| 50/50 [02:52<00:00, 3.45s/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, 1.51s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.27s/it] [ComfyUI] Decoding rows: 100%|██████████| 2/2 [00:02<00:00, 1.30s/it] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/2 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 100%|██████████| 2/2 [00:00<00:00, 28.34it/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, 1.40it/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, 47.58it/s] [ComfyUI] Prompt executed in 209.36 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-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79cIDtxj0954af1rma0cm99k8gfeay4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- crf
- 19
- steps
- 50
- width
- 640
- height
- 360
- prompt
- In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.
- 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 PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.", "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/hunyuan-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", { input: { crf: 19, steps: 50, width: 640, height: 360, prompt: "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.", 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-ponponpon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/hunyuan-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", input={ "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.", "lora_url": "", "flow_shift": 9, "frame_rate": 24, "num_frames": 85, "force_offload": True, "lora_strength": 0.85, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/hunyuan-ponponpon 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-ponponpon:fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.", "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": "2025-01-09T09:33:59.696709Z", "created_at": "2025-01-09T09:30:21.688000Z", "data_removed": false, "error": null, "id": "txj0954af1rma0cm99k8gfeay4", "input": { "crf": 19, "steps": 50, "width": 640, "height": 360, "prompt": "In the style of PONPONPON, this vibrant and surreal music video features a whimsical wonderland of color and confection. Candy-colored backdrops and floating ornaments frame a blonde performer with bright pink makeup, adorned with fruits and sweets in her hair. The scenes shift from product placements to psychedelic swirls, with animated elements and costume changes creating a dizzying, sugar-coated visual feast. This kaleidoscopic journey embodies the cute and quirky aesthetic of Japanese pop culture, blending reality and fantasy in a playful, eye-catching spectacle.", "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: 2306294667\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\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]\n[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/50 [00:02<02:03, 2.51s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:05<02:27, 3.07s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:09<02:32, 3.25s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.33s/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, 3.44s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it]\n[ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.45s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:37<02:14, 3.45s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:40<02:11, 3.45s/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 [00:50<02:01, 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, 3.47s/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<00:45, 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=12.300 GB\n[ComfyUI] Max allocated memory: max_memory=16.351 GB\n[ComfyUI] Max reserved memory: max_reserved=18.219 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, 25.73it/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, 41.02it/s]\n[ComfyUI] Prompt executed in 185.07 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": 194.406202438, "total_time": 218.008709 }, "output": "https://replicate.delivery/xezq/TeEvrDwHWY2aS6jnElISo1O7xFc91TegfAyZD43WnLCOQpGoA/HunyuanVideo_00001.mp4", "started_at": "2025-01-09T09:30:45.290506Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-y4lgnd5ocvajshtx33dkrsv6mdi25jaiaz3utvzthkvylprab66q", "get": "https://api.replicate.com/v1/predictions/txj0954af1rma0cm99k8gfeay4", "cancel": "https://api.replicate.com/v1/predictions/txj0954af1rma0cm99k8gfeay4/cancel" }, "version": "fce4aec2c3113590115e5d4f2c71ceba42f1e2f8502c5485e4f60f7c6a78e79c" }Generated inRandom seed set to: 2306294667 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 [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] [ComfyUI] 0%| | 0/50 [00:00<?, ?it/s] [ComfyUI] 2%|▏ | 1/50 [00:02<02:03, 2.51s/it] [ComfyUI] 4%|▍ | 2/50 [00:05<02:27, 3.07s/it] [ComfyUI] 6%|▌ | 3/50 [00:09<02:32, 3.25s/it] [ComfyUI] 8%|▊ | 4/50 [00:12<02:33, 3.33s/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, 3.44s/it] [ComfyUI] 18%|█▊ | 9/50 [00:30<02:21, 3.44s/it] [ComfyUI] 20%|██ | 10/50 [00:33<02:17, 3.45s/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, 3.46s/it] [ComfyUI] 28%|██▊ | 14/50 [00:47<02:04, 3.46s/it] [ComfyUI] 30%|███ | 15/50 [00:50<02:01, 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, 3.47s/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<00:45, 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=12.300 GB [ComfyUI] Max allocated memory: max_memory=16.351 GB [ComfyUI] Max reserved memory: max_reserved=18.219 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, 25.73it/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, 41.02it/s] [ComfyUI] Prompt executed in 185.07 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
Want to make some of these yourself?
Run this model
