zsxkib
/
hunyuan-video-lora
Hunyuan-Video LoRA Explorer + Trainer
Prediction
zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9Input
- crf
- 19
- steps
- 50
- width
- 512
- height
- 512
- prompt
- CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa's coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal's crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.
- lora_url
- Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1
- flow_shift
- 9
- frame_rate
- 16
- num_frames
- 33
- force_offload
- lora_strength
- 1
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa's coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal's crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.", "lora_url": "Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", { input: { crf: 19, steps: 50, width: 512, height: 512, prompt: "CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa's coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal's crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.", lora_url: "Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1", flow_shift: 9, frame_rate: 16, num_frames: 33, force_offload: true, lora_strength: 1, 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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", input={ "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa's coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal's crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.", "lora_url": "Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": True, "lora_strength": 1, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run zsxkib/hunyuan-video-lora 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": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", "input": { "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa\'s coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal\'s crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.", "lora_url": "Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "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": "2025-01-07T15:07:08.623306Z", "created_at": "2025-01-07T15:04:56.741000Z", "data_removed": false, "error": null, "id": "gmqp8k14mnrmc0cm8569fhwsh0", "input": { "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "CSETIARCANE. A upper body shot of nfjinx, wearing an elaborate Christmas-themed ceremonial armor. The steel breastplate features intricate engravings of snowflakes and holly leaves, while her pauldrons are trimmed with white fur reminiscent of Santa's coat. Her vibrant blue hair contrasts beautifully with the red-tinted metallic armor. Delicate golden bells hang from carefully crafted joints, each one showing masterful metalwork with tiny engravings of reindeer. Small scratches in the metal's crimson finish reveal silver underneath, suggesting festive battles past. Her intense expression remains visible beneath a light dusting of magical snow. Emerald green chainmail peeks through the gaps between plates, creating a perfect Christmas color palette against the red armor.", "lora_url": "Cseti/HunyuanVideo-LoRA-Arcane_Jinx-v1", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 4217048407\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 [00:00<00:01, 1.72it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.75it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.76it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.54it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.18it/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: 153\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77\nExecuting node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect\nExecuting node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader\n[ComfyUI] model_type FLOW\n[ComfyUI] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: csetiarcane-nfjinx-v1-6000 with strength: 1.0\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) = (512, 512, 33)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 33 frames in 9 latents at 512x512 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 [00:00<00:42, 1.16it/s]\n[ComfyUI] 4%|▍ | 2/50 [00:01<00:45, 1.06it/s]\n[ComfyUI] 6%|▌ | 3/50 [00:02<00:45, 1.03it/s]\n[ComfyUI] 8%|▊ | 4/50 [00:03<00:45, 1.01it/s]\n[ComfyUI] 10%|█ | 5/50 [00:04<00:44, 1.01it/s]\n[ComfyUI] 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s]\n[ComfyUI] 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:07<00:42, 1.00s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:08<00:41, 1.00s/it]\n[ComfyUI] 20%|██ | 10/50 [00:09<00:40, 1.00s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it]\n[ComfyUI] 30%|███ | 15/50 [00:14<00:35, 1.01s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:15<00:34, 1.01s/it]\n[ComfyUI] 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it]\n[ComfyUI] 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it]\n[ComfyUI] 38%|███▊ | 19/50 [00:18<00:31, 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HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.81it/s]\n[ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.75it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.12it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.01it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 51.44it/s]\n[ComfyUI] Prompt executed in 81.63 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 113.294316161, "total_time": 131.882306 }, "output": "https://replicate.delivery/xezq/5BBlcUiyNaKcMpzStoj1CH3LXV6NtNHsEX7L5q8yEoEH1rAF/HunyuanVideo_00001.mp4", "started_at": "2025-01-07T15:05:15.328989Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-nibdujggqatzcf5zmlragkm52xfgcr3cqurculmtbf2sdqux3lma", "get": "https://api.replicate.com/v1/predictions/gmqp8k14mnrmc0cm8569fhwsh0", "cancel": "https://api.replicate.com/v1/predictions/gmqp8k14mnrmc0cm8569fhwsh0/cancel" }, "version": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9" }Generated inRandom seed set to: 4217048407 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 [00:00<00:01, 1.72it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.75it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.76it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.54it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.18it/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: 153 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 77 Executing node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect Executing node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader [ComfyUI] model_type FLOW [ComfyUI] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: csetiarcane-nfjinx-v1-6000 with strength: 1.0 [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (512, 512, 33) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 33 frames in 9 latents at 512x512 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 [00:00<00:42, 1.16it/s] [ComfyUI] 4%|▍ | 2/50 [00:01<00:45, 1.06it/s] [ComfyUI] 6%|▌ | 3/50 [00:02<00:45, 1.03it/s] [ComfyUI] 8%|▊ | 4/50 [00:03<00:45, 1.01it/s] [ComfyUI] 10%|█ | 5/50 [00:04<00:44, 1.01it/s] [ComfyUI] 12%|█▏ | 6/50 [00:05<00:43, 1.00it/s] [ComfyUI] 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it] [ComfyUI] 16%|█▌ | 8/50 [00:07<00:42, 1.00s/it] [ComfyUI] 18%|█▊ | 9/50 [00:08<00:41, 1.00s/it] [ComfyUI] 20%|██ | 10/50 [00:09<00:40, 1.00s/it] [ComfyUI] 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it] [ComfyUI] 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it] [ComfyUI] 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it] [ComfyUI] 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it] [ComfyUI] 30%|███ | 15/50 [00:14<00:35, 1.01s/it] [ComfyUI] 32%|███▏ | 16/50 [00:15<00:34, 1.01s/it] [ComfyUI] 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it] [ComfyUI] 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it] [ComfyUI] 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it] [ComfyUI] 40%|████ | 20/50 [00:19<00:30, 1.01s/it] [ComfyUI] 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it] [ComfyUI] 44%|████▍ | 22/50 [00:22<00:28, 1.01s/it] [ComfyUI] 46%|████▌ | 23/50 [00:23<00:27, 1.01s/it] [ComfyUI] 48%|████▊ | 24/50 [00:24<00:26, 1.01s/it] [ComfyUI] 50%|█████ | 25/50 [00:25<00:25, 1.01s/it] [ComfyUI] 52%|█████▏ | 26/50 [00:26<00:24, 1.01s/it] [ComfyUI] 54%|█████▍ | 27/50 [00:27<00:23, 1.01s/it] [ComfyUI] 56%|█████▌ | 28/50 [00:28<00:22, 1.01s/it] [ComfyUI] 58%|█████▊ | 29/50 [00:29<00:21, 1.01s/it] [ComfyUI] 60%|██████ | 30/50 [00:30<00:20, 1.01s/it] [ComfyUI] 62%|██████▏ | 31/50 [00:31<00:19, 1.01s/it] [ComfyUI] 64%|██████▍ | 32/50 [00:32<00:18, 1.01s/it] [ComfyUI] 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it] [ComfyUI] 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it] [ComfyUI] 70%|███████ | 35/50 [00:35<00:15, 1.01s/it] [ComfyUI] 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it] [ComfyUI] 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it] [ComfyUI] 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it] [ComfyUI] 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it] [ComfyUI] 80%|████████ | 40/50 [00:40<00:10, 1.01s/it] [ComfyUI] 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it] [ComfyUI] 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it] [ComfyUI] 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it] [ComfyUI] 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it] [ComfyUI] 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it] [ComfyUI] 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it] [ComfyUI] 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it] [ComfyUI] 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it] [ComfyUI] 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it] [ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it] [ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.00s/it] [ComfyUI] Allocated memory: memory=12.756 GB [ComfyUI] Max allocated memory: max_memory=14.345 GB [ComfyUI] Max reserved memory: max_reserved=14.844 GB Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.81it/s] [ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.75it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.12it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.01it/s] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s] Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 51.44it/s] [ComfyUI] Prompt executed in 81.63 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4Prediction
zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9Input
- crf
- 19
- steps
- 50
- width
- 512
- height
- 512
- prompt
- Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.
- lora_url
- a-r-r-o-w/HunyuanVideo-tuxemons
- flow_shift
- 9
- frame_rate
- 16
- num_frames
- 33
- force_offload
- lora_strength
- 1.2
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "lora_url": "a-r-r-o-w/HunyuanVideo-tuxemons", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1.2, "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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", { input: { crf: 19, steps: 50, width: 512, height: 512, prompt: "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", lora_url: "a-r-r-o-w/HunyuanVideo-tuxemons", flow_shift: 9, frame_rate: 16, num_frames: 33, force_offload: true, lora_strength: 1.2, 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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", input={ "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "lora_url": "a-r-r-o-w/HunyuanVideo-tuxemons", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": True, "lora_strength": 1.2, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run zsxkib/hunyuan-video-lora 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": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", "input": { "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "lora_url": "a-r-r-o-w/HunyuanVideo-tuxemons", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1.2, "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": "2025-01-07T15:11:42.528962Z", "created_at": "2025-01-07T15:09:36.147000Z", "data_removed": false, "error": null, "id": "0e0c7kv82drma0cm858bxna734", "input": { "crf": 19, "steps": 50, "width": 512, "height": 512, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "lora_url": "a-r-r-o-w/HunyuanVideo-tuxemons", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1.2, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 1390254451\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 32\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 33\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: pytorch_lora_weights with strength: 1.2\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_k.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_k.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_out.0.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_out.0.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_q.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_q.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_v.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_v.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_k.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_k.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_out.0.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_out.0.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_q.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_q.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_v.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.1.attn.to_v.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.single_transformer_blocks.0.attn.to_k.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.single_transformer_blocks.0.attn.to_k.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.single_transformer_blocks.0.attn.to_q.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.single_transformer_blocks.0.attn.to_q.lora_B.weight\n[ComfyUI] lora key not 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diffusion_model.transformer_blocks.9.attn.to_q.lora_B.weight\n[ComfyUI] lora key not loaded: diffusion_model.transformer_blocks.9.attn.to_v.lora_A.weight\n[ComfyUI] lora key not loaded: diffusion_model.transformer_blocks.9.attn.to_v.lora_B.weight\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) = (512, 512, 33)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 33 frames in 9 latents at 512x512 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 [00:00<00:36, 1.35it/s]\n[ComfyUI] 4%|▍ | 2/50 [00:01<00:43, 1.12it/s]\n[ComfyUI] 6%|▌ | 3/50 [00:02<00:44, 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[00:22<00:27, 1.01s/it]\n[ComfyUI] 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it]\n[ComfyUI] 50%|█████ | 25/50 [00:24<00:25, 1.01s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [00:25<00:24, 1.01s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [00:26<00:23, 1.01s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it]\n[ComfyUI] 60%|██████ | 30/50 [00:29<00:20, 1.01s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [00:30<00:19, 1.01s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [00:31<00:18, 1.01s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it]\n[ComfyUI] 70%|███████ | 35/50 [00:35<00:15, 1.01s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it]\n[ComfyUI] 80%|████████ | 40/50 [00:40<00:10, 1.01s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it]\n[ComfyUI] 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it]\n[ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it]\n[ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.00s/it]\n[ComfyUI] Allocated memory: memory=12.297 GB\n[ComfyUI] Max allocated memory: max_memory=13.886 GB\n[ComfyUI] Max reserved memory: max_reserved=14.375 GB\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.95it/s]\n[ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.77it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.15it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.05it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 46.87it/s]\n[ComfyUI] Prompt executed in 74.96 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 119.269590877, "total_time": 126.381962 }, "output": "https://replicate.delivery/xezq/cZqpXwHFyjJePyzSR0ex54E3IyDAno3k2VvePbrYZpIcxeKQB/HunyuanVideo_00001.mp4", "started_at": "2025-01-07T15:09:43.259371Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-wb64pnnzmn7ubkctj2rpju4fyhh5f26wqnppbovzr7zcp63m3hzq", "get": "https://api.replicate.com/v1/predictions/0e0c7kv82drma0cm858bxna734", "cancel": "https://api.replicate.com/v1/predictions/0e0c7kv82drma0cm858bxna734/cancel" }, "version": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9" }Generated inRandom seed set to: 1390254451 Checking inputs ==================================== Checking weights ✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models ✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae ==================================== Running workflow [ComfyUI] got prompt Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode [ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 32 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 33 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: pytorch_lora_weights with strength: 1.2 [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_k.lora_A.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_k.lora_B.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_out.0.lora_A.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_out.0.lora_B.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_q.lora_A.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_q.lora_B.weight [ComfyUI] lora key not loaded: diffusion_model.context_embedder.token_refiner.refiner_blocks.0.attn.to_v.lora_A.weight [ComfyUI] lora key not loaded: 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diffusion_model.transformer_blocks.9.attn.to_v.lora_B.weight [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (512, 512, 33) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 33 frames in 9 latents at 512x512 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 [00:00<00:36, 1.35it/s] [ComfyUI] 4%|▍ | 2/50 [00:01<00:43, 1.12it/s] [ComfyUI] 6%|▌ | 3/50 [00:02<00:44, 1.06it/s] [ComfyUI] 8%|▊ | 4/50 [00:03<00:44, 1.03it/s] [ComfyUI] 10%|█ | 5/50 [00:04<00:44, 1.02it/s] [ComfyUI] 12%|█▏ | 6/50 [00:05<00:43, 1.01it/s] [ComfyUI] 14%|█▍ | 7/50 [00:06<00:42, 1.00it/s] [ComfyUI] 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1.01s/it] [ComfyUI] 56%|█████▌ | 28/50 [00:27<00:22, 1.01s/it] [ComfyUI] 58%|█████▊ | 29/50 [00:28<00:21, 1.01s/it] [ComfyUI] 60%|██████ | 30/50 [00:29<00:20, 1.01s/it] [ComfyUI] 62%|██████▏ | 31/50 [00:30<00:19, 1.01s/it] [ComfyUI] 64%|██████▍ | 32/50 [00:31<00:18, 1.01s/it] [ComfyUI] 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it] [ComfyUI] 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it] [ComfyUI] 70%|███████ | 35/50 [00:35<00:15, 1.01s/it] [ComfyUI] 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it] [ComfyUI] 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it] [ComfyUI] 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it] [ComfyUI] 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it] [ComfyUI] 80%|████████ | 40/50 [00:40<00:10, 1.01s/it] [ComfyUI] 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it] [ComfyUI] 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it] [ComfyUI] 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it] [ComfyUI] 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it] [ComfyUI] 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it] [ComfyUI] 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it] [ComfyUI] 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it] [ComfyUI] 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it] [ComfyUI] 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it] [ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.01s/it] [ComfyUI] 100%|██████████| 50/50 [00:50<00:00, 1.00s/it] [ComfyUI] Allocated memory: memory=12.297 GB [ComfyUI] Max allocated memory: max_memory=13.886 GB [ComfyUI] Max reserved memory: max_reserved=14.375 GB Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.95it/s] [ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.77it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.15it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.05it/s] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s] Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 46.87it/s] [ComfyUI] Prompt executed in 74.96 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4Prediction
zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9Input
- crf
- 19
- steps
- 50
- width
- 768
- height
- 768
- prompt
- a woman walking down a city street of New York in a red dress, fashion
- lora_url
- histin116/Hunyuan-Social-Fashion-Lora
- flow_shift
- 9
- frame_rate
- 16
- num_frames
- 33
- force_offload
- lora_strength
- 1
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 50, "width": 768, "height": 768, "prompt": "a woman walking down a city street of New York in a red dress, fashion", "lora_url": "histin116/Hunyuan-Social-Fashion-Lora", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", { input: { crf: 19, steps: 50, width: 768, height: 768, prompt: "a woman walking down a city street of New York in a red dress, fashion", lora_url: "histin116/Hunyuan-Social-Fashion-Lora", flow_shift: 9, frame_rate: 16, num_frames: 33, force_offload: true, lora_strength: 1, 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 zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zsxkib/hunyuan-video-lora:4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", input={ "crf": 19, "steps": 50, "width": 768, "height": 768, "prompt": "a woman walking down a city street of New York in a red dress, fashion", "lora_url": "histin116/Hunyuan-Social-Fashion-Lora", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": True, "lora_strength": 1, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run zsxkib/hunyuan-video-lora 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": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9", "input": { "crf": 19, "steps": 50, "width": 768, "height": 768, "prompt": "a woman walking down a city street of New York in a red dress, fashion", "lora_url": "histin116/Hunyuan-Social-Fashion-Lora", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "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": "2025-01-07T15:20:33.144213Z", "created_at": "2025-01-07T15:14:32.627000Z", "data_removed": false, "error": null, "id": "seddeefe6drma0cm85a92h9ma4", "input": { "crf": 19, "steps": 50, "width": 768, "height": 768, "prompt": "a woman walking down a city street of New York in a red dress, fashion", "lora_url": "histin116/Hunyuan-Social-Fashion-Lora", "flow_shift": 9, "frame_rate": 16, "num_frames": 33, "force_offload": true, "lora_strength": 1, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 2767575744\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, 1.63it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.67it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.69it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.39it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.06it/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: 17\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 18\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: social_fashion_hunyuan with strength: 1.0\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) = (768, 768, 33)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 33 frames in 9 latents at 768x768 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'])])[ComfyUI]\n[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/50 [00:02<02:14, 2.75s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:06<02:36, 3.27s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:10<02:41, 3.43s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:13<02:41, 3.51s/it]\n[ComfyUI] 10%|█ | 5/50 [00:17<02:39, 3.55s/it]\n[ComfyUI] 12%|█▏ | 6/50 [00:20<02:37, 3.57s/it]\n[ComfyUI] 14%|█▍ | 7/50 [00:24<02:34, 3.59s/it]\n[ComfyUI] 16%|█▌ | 8/50 [00:28<02:31, 3.60s/it]\n[ComfyUI] 18%|█▊ | 9/50 [00:31<02:27, 3.61s/it]\n[ComfyUI] 20%|██ | 10/50 [00:35<02:24, 3.61s/it]\n[ComfyUI] 22%|██▏ | 11/50 [00:38<02:20, 3.61s/it]\n[ComfyUI] 24%|██▍ | 12/50 [00:42<02:17, 3.61s/it]\n[ComfyUI] 26%|██▌ | 13/50 [00:46<02:13, 3.62s/it]\n[ComfyUI] 28%|██▊ | 14/50 [00:49<02:10, 3.62s/it]\n[ComfyUI] 30%|███ | 15/50 [00:53<02:06, 3.62s/it]\n[ComfyUI] 32%|███▏ | 16/50 [00:57<02:03, 3.62s/it]\n[ComfyUI] 34%|███▍ | 17/50 [01:00<01:59, 3.62s/it]\n[ComfyUI] 36%|███▌ | 18/50 [01:04<01:55, 3.62s/it]\n[ComfyUI] 38%|███▊ | 19/50 [01:07<01:52, 3.62s/it]\n[ComfyUI] 40%|████ | 20/50 [01:11<01:48, 3.62s/it]\n[ComfyUI] 42%|████▏ | 21/50 [01:15<01:44, 3.62s/it]\n[ComfyUI] 44%|████▍ | 22/50 [01:18<01:41, 3.62s/it]\n[ComfyUI] 46%|████▌ | 23/50 [01:22<01:37, 3.62s/it]\n[ComfyUI] 48%|████▊ | 24/50 [01:26<01:34, 3.62s/it]\n[ComfyUI] 50%|█████ | 25/50 [01:29<01:30, 3.62s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [01:33<01:26, 3.62s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [01:36<01:23, 3.62s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [01:40<01:19, 3.62s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [01:44<01:16, 3.62s/it]\n[ComfyUI] 60%|██████ | 30/50 [01:47<01:12, 3.62s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [01:51<01:08, 3.62s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [01:54<01:05, 3.62s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [01:58<01:01, 3.62s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [02:02<00:57, 3.62s/it]\n[ComfyUI] 70%|███████ | 35/50 [02:05<00:54, 3.62s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [02:09<00:50, 3.62s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [02:13<00:47, 3.62s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [02:16<00:43, 3.62s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [02:20<00:39, 3.62s/it]\n[ComfyUI] 80%|████████ | 40/50 [02:23<00:36, 3.62s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [02:27<00:32, 3.62s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [02:31<00:28, 3.62s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [02:34<00:25, 3.62s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [02:38<00:21, 3.62s/it]\n[ComfyUI] 90%|█████████ | 45/50 [02:42<00:18, 3.62s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [02:45<00:14, 3.62s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [02:49<00:10, 3.62s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [02:52<00:07, 3.62s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [02:56<00:03, 3.62s/it]\n[ComfyUI] 100%|██████████| 50/50 [03:00<00:00, 3.62s/it]\n[ComfyUI] 100%|██████████| 50/50 [03:00<00:00, 3.60s/it]\n[ComfyUI] Allocated memory: memory=12.759 GB\n[ComfyUI] Max allocated memory: max_memory=16.957 GB\n[ComfyUI] Max reserved memory: max_reserved=18.906 GB\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 25%|██▌ | 1/4 [00:00<00:02, 1.24it/s]\n[ComfyUI] Decoding rows: 50%|█████ | 2/4 [00:01<00:01, 1.16it/s]\n[ComfyUI] Decoding rows: 75%|███████▌ | 3/4 [00:02<00:00, 1.13it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 4/4 [00:03<00:00, 1.22it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 4/4 [00:03<00:00, 1.19it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 50%|█████ | 2/4 [00:00<00:00, 17.35it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 4/4 [00:00<00:00, 27.12it/s]\n[ComfyUI] Prompt executed in 215.31 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 278.327366129, "total_time": 360.517213 }, "output": "https://replicate.delivery/xezq/brSrfbdarbTOZqhErevJTbnNqfoxjPQhhi6FMPUcGAQDCfKQB/HunyuanVideo_00001.mp4", "started_at": "2025-01-07T15:15:54.816846Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-lqul4znvegqlliezn6j7waaw7n6zto7uh3pmgr6svp7qlr6d3ana", "get": "https://api.replicate.com/v1/predictions/seddeefe6drma0cm85a92h9ma4", "cancel": "https://api.replicate.com/v1/predictions/seddeefe6drma0cm85a92h9ma4/cancel" }, "version": "4b4738592325199ced6c9c92850049c8c35eb2db5c68b35939ab4cbfac7bced9" }Generated inRandom seed set to: 2767575744 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, 1.63it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.67it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.69it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.39it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.06it/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: 17 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 18 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: social_fashion_hunyuan with strength: 1.0 [ComfyUI] Requested to load HyVideoModel [ComfyUI] Loading 1 new model [ComfyUI] loaded completely 0.0 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (768, 768, 33) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] Sampling 33 frames in 9 latents at 768x768 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<02:14, 2.75s/it] [ComfyUI] 4%|▍ | 2/50 [00:06<02:36, 3.27s/it] [ComfyUI] 6%|▌ | 3/50 [00:10<02:41, 3.43s/it] [ComfyUI] 8%|▊ | 4/50 [00:13<02:41, 3.51s/it] [ComfyUI] 10%|█ | 5/50 [00:17<02:39, 3.55s/it] [ComfyUI] 12%|█▏ | 6/50 [00:20<02:37, 3.57s/it] [ComfyUI] 14%|█▍ | 7/50 [00:24<02:34, 3.59s/it] [ComfyUI] 16%|█▌ | 8/50 [00:28<02:31, 3.60s/it] [ComfyUI] 18%|█▊ | 9/50 [00:31<02:27, 3.61s/it] [ComfyUI] 20%|██ | 10/50 [00:35<02:24, 3.61s/it] [ComfyUI] 22%|██▏ | 11/50 [00:38<02:20, 3.61s/it] [ComfyUI] 24%|██▍ | 12/50 [00:42<02:17, 3.61s/it] [ComfyUI] 26%|██▌ | 13/50 [00:46<02:13, 3.62s/it] [ComfyUI] 28%|██▊ | 14/50 [00:49<02:10, 3.62s/it] [ComfyUI] 30%|███ | 15/50 [00:53<02:06, 3.62s/it] [ComfyUI] 32%|███▏ | 16/50 [00:57<02:03, 3.62s/it] [ComfyUI] 34%|███▍ | 17/50 [01:00<01:59, 3.62s/it] [ComfyUI] 36%|███▌ | 18/50 [01:04<01:55, 3.62s/it] [ComfyUI] 38%|███▊ | 19/50 [01:07<01:52, 3.62s/it] [ComfyUI] 40%|████ | 20/50 [01:11<01:48, 3.62s/it] [ComfyUI] 42%|████▏ | 21/50 [01:15<01:44, 3.62s/it] [ComfyUI] 44%|████▍ | 22/50 [01:18<01:41, 3.62s/it] [ComfyUI] 46%|████▌ | 23/50 [01:22<01:37, 3.62s/it] [ComfyUI] 48%|████▊ | 24/50 [01:26<01:34, 3.62s/it] [ComfyUI] 50%|█████ | 25/50 [01:29<01:30, 3.62s/it] [ComfyUI] 52%|█████▏ | 26/50 [01:33<01:26, 3.62s/it] [ComfyUI] 54%|█████▍ | 27/50 [01:36<01:23, 3.62s/it] [ComfyUI] 56%|█████▌ | 28/50 [01:40<01:19, 3.62s/it] [ComfyUI] 58%|█████▊ | 29/50 [01:44<01:16, 3.62s/it] [ComfyUI] 60%|██████ | 30/50 [01:47<01:12, 3.62s/it] [ComfyUI] 62%|██████▏ | 31/50 [01:51<01:08, 3.62s/it] [ComfyUI] 64%|██████▍ | 32/50 [01:54<01:05, 3.62s/it] [ComfyUI] 66%|██████▌ | 33/50 [01:58<01:01, 3.62s/it] [ComfyUI] 68%|██████▊ | 34/50 [02:02<00:57, 3.62s/it] [ComfyUI] 70%|███████ | 35/50 [02:05<00:54, 3.62s/it] [ComfyUI] 72%|███████▏ | 36/50 [02:09<00:50, 3.62s/it] [ComfyUI] 74%|███████▍ | 37/50 [02:13<00:47, 3.62s/it] [ComfyUI] 76%|███████▌ | 38/50 [02:16<00:43, 3.62s/it] [ComfyUI] 78%|███████▊ | 39/50 [02:20<00:39, 3.62s/it] [ComfyUI] 80%|████████ | 40/50 [02:23<00:36, 3.62s/it] [ComfyUI] 82%|████████▏ | 41/50 [02:27<00:32, 3.62s/it] [ComfyUI] 84%|████████▍ | 42/50 [02:31<00:28, 3.62s/it] [ComfyUI] 86%|████████▌ | 43/50 [02:34<00:25, 3.62s/it] [ComfyUI] 88%|████████▊ | 44/50 [02:38<00:21, 3.62s/it] [ComfyUI] 90%|█████████ | 45/50 [02:42<00:18, 3.62s/it] [ComfyUI] 92%|█████████▏| 46/50 [02:45<00:14, 3.62s/it] [ComfyUI] 94%|█████████▍| 47/50 [02:49<00:10, 3.62s/it] [ComfyUI] 96%|█████████▌| 48/50 [02:52<00:07, 3.62s/it] [ComfyUI] 98%|█████████▊| 49/50 [02:56<00:03, 3.62s/it] [ComfyUI] 100%|██████████| 50/50 [03:00<00:00, 3.62s/it] [ComfyUI] 100%|██████████| 50/50 [03:00<00:00, 3.60s/it] [ComfyUI] Allocated memory: memory=12.759 GB [ComfyUI] Max allocated memory: max_memory=16.957 GB [ComfyUI] Max reserved memory: max_reserved=18.906 GB Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 25%|██▌ | 1/4 [00:00<00:02, 1.24it/s] [ComfyUI] Decoding rows: 50%|█████ | 2/4 [00:01<00:01, 1.16it/s] [ComfyUI] Decoding rows: 75%|███████▌ | 3/4 [00:02<00:00, 1.13it/s] [ComfyUI] Decoding rows: 100%|██████████| 4/4 [00:03<00:00, 1.22it/s] [ComfyUI] Decoding rows: 100%|██████████| 4/4 [00:03<00:00, 1.19it/s] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Blending tiles: 50%|█████ | 2/4 [00:00<00:00, 17.35it/s] Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] Blending tiles: 100%|██████████| 4/4 [00:00<00:00, 27.12it/s] [ComfyUI] Prompt executed in 215.31 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4Prediction
zsxkib/hunyuan-video-lora:04279caf015c30a635cabc4077b5bd82c5c706262eb61797a48db139444bcca9Input
- crf
- 19
- steps
- 30
- width
- 512
- height
- 512
- prompt
- In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera
- lora_url
- lucataco/hunyuan-musubi-rose-6
- scheduler
- DPMSolverMultistepScheduler
- flow_shift
- 9
- frame_rate
- 15
- num_frames
- 33
- enhance_end
- 1
- enhance_start
- 0
- force_offload
- lora_strength
- 1
- enhance_double
- enhance_single
- enhance_weight
- 0.3
- guidance_scale
- 6
- denoise_strength
- 1
{ "crf": 19, "steps": 30, "width": 512, "height": 512, "prompt": "In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera", "lora_url": "lucataco/hunyuan-musubi-rose-6", "scheduler": "DPMSolverMultistepScheduler", "flow_shift": 9, "frame_rate": 15, "num_frames": 33, "enhance_end": 1, "enhance_start": 0, "force_offload": true, "lora_strength": 1, "enhance_double": true, "enhance_single": true, "enhance_weight": 0.3, "guidance_scale": 6, "denoise_strength": 1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zsxkib/hunyuan-video-lora:04279caf015c30a635cabc4077b5bd82c5c706262eb61797a48db139444bcca9", { input: { crf: 19, steps: 30, width: 512, height: 512, prompt: "In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera", lora_url: "lucataco/hunyuan-musubi-rose-6", scheduler: "DPMSolverMultistepScheduler", flow_shift: 9, frame_rate: 15, num_frames: 33, enhance_end: 1, enhance_start: 0, force_offload: true, lora_strength: 1, enhance_double: true, enhance_single: true, enhance_weight: 0.3, guidance_scale: 6, denoise_strength: 1 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun zsxkib/hunyuan-video-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zsxkib/hunyuan-video-lora:04279caf015c30a635cabc4077b5bd82c5c706262eb61797a48db139444bcca9", input={ "crf": 19, "steps": 30, "width": 512, "height": 512, "prompt": "In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera", "lora_url": "lucataco/hunyuan-musubi-rose-6", "scheduler": "DPMSolverMultistepScheduler", "flow_shift": 9, "frame_rate": 15, "num_frames": 33, "enhance_end": 1, "enhance_start": 0, "force_offload": True, "lora_strength": 1, "enhance_double": True, "enhance_single": True, "enhance_weight": 0.3, "guidance_scale": 6, "denoise_strength": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run zsxkib/hunyuan-video-lora 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": "04279caf015c30a635cabc4077b5bd82c5c706262eb61797a48db139444bcca9", "input": { "crf": 19, "steps": 30, "width": 512, "height": 512, "prompt": "In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera", "lora_url": "lucataco/hunyuan-musubi-rose-6", "scheduler": "DPMSolverMultistepScheduler", "flow_shift": 9, "frame_rate": 15, "num_frames": 33, "enhance_end": 1, "enhance_start": 0, "force_offload": true, "lora_strength": 1, "enhance_double": true, "enhance_single": true, "enhance_weight": 0.3, "guidance_scale": 6, "denoise_strength": 1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-17T19:54:09.871276Z", "created_at": "2025-01-17T19:52:06.672000Z", "data_removed": false, "error": null, "id": "qmrfs2n521rm80cmeq98yps03m", "input": { "crf": 19, "steps": 30, "width": 512, "height": 512, "prompt": "In the style of RSNG. A woman with blonde hair stands on a balcony at night, framed against a backdrop of city lights. She wears a white crop top and a dark jacket, exuding a confident presence as she gazes directly at the camera", "lora_url": "lucataco/hunyuan-musubi-rose-6", "scheduler": "DPMSolverMultistepScheduler", "flow_shift": 9, "frame_rate": 15, "num_frames": 33, "enhance_end": 1, "enhance_start": 0, "force_offload": true, "lora_strength": 1, "enhance_double": true, "enhance_single": true, "enhance_weight": 0.3, "guidance_scale": 6, "denoise_strength": 1 }, "logs": "Random seed set to: 2755017607\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\nExecuting node 42, title: HunyuanVideo Enhance A Video, class type: HyVideoEnhanceAVideo\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.78it/s]\n[ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.75it/s]\n[ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.76it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.58it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.21it/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: 52\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 54\nExecuting node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect\nExecuting node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader\n[ComfyUI] model_type FLOW\n[ComfyUI] The config attributes {'use_flow_sigmas': True, 'prediction_type': 'flow_prediction'} were passed to FlowMatchDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n[ComfyUI] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: lora with strength: 1.0\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] loaded completely 9.5367431640625e+25 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (512, 512, 33)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] The config attributes {'reverse': True, 'solver': 'euler'} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n[ComfyUI] Sampling 33 frames in 9 latents at 512x512 with 30 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('flow_shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['n_tokens', 'num_train_timesteps'])])[ComfyUI]\n[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]\n[ComfyUI] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it]\n[ComfyUI] 7%|▋ | 2/30 [00:01<00:26, 1.04it/s]\n[ComfyUI] 10%|█ | 3/30 [00:03<00:26, 1.00it/s]\n[ComfyUI] 13%|█▎ | 4/30 [00:04<00:26, 1.01s/it]\n[ComfyUI] 17%|█▋ | 5/30 [00:05<00:25, 1.02s/it]\n[ComfyUI] 20%|██ | 6/30 [00:06<00:24, 1.03s/it]\n[ComfyUI] 23%|██▎ | 7/30 [00:07<00:23, 1.03s/it]\n[ComfyUI] 27%|██▋ | 8/30 [00:08<00:22, 1.03s/it]\n[ComfyUI] 30%|███ | 9/30 [00:09<00:21, 1.03s/it]\n[ComfyUI] 33%|███▎ | 10/30 [00:10<00:20, 1.04s/it]\n[ComfyUI] 37%|███▋ | 11/30 [00:11<00:19, 1.04s/it]\n[ComfyUI] 40%|████ | 12/30 [00:12<00:18, 1.04s/it]\n[ComfyUI] 43%|████▎ | 13/30 [00:13<00:18, 1.08s/it]\n[ComfyUI] 47%|████▋ | 14/30 [00:14<00:17, 1.06s/it]\n[ComfyUI] 50%|█████ | 15/30 [00:15<00:15, 1.06s/it]\n[ComfyUI] 53%|█████▎ | 16/30 [00:16<00:14, 1.05s/it]\n[ComfyUI] 57%|█████▋ | 17/30 [00:17<00:13, 1.05s/it]\n[ComfyUI] 60%|██████ | 18/30 [00:18<00:12, 1.05s/it]\n[ComfyUI] 63%|██████▎ | 19/30 [00:19<00:11, 1.04s/it]\n[ComfyUI] 67%|██████▋ | 20/30 [00:20<00:10, 1.04s/it]\n[ComfyUI] 70%|███████ | 21/30 [00:21<00:09, 1.04s/it]\n[ComfyUI] 73%|███████▎ | 22/30 [00:22<00:08, 1.04s/it]\n[ComfyUI] 77%|███████▋ | 23/30 [00:23<00:07, 1.04s/it]\n[ComfyUI] 80%|████████ | 24/30 [00:24<00:06, 1.04s/it]\n[ComfyUI] 83%|████████▎ | 25/30 [00:26<00:05, 1.04s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [00:27<00:04, 1.04s/it]\n[ComfyUI] 90%|█████████ | 27/30 [00:28<00:03, 1.04s/it]\n[ComfyUI] 93%|█████████▎| 28/30 [00:29<00:02, 1.04s/it]\n[ComfyUI] 97%|█████████▋| 29/30 [00:30<00:01, 1.04s/it]\n[ComfyUI] 100%|██████████| 30/30 [00:31<00:00, 1.04s/it]\n[ComfyUI] 100%|██████████| 30/30 [00:31<00:00, 1.04s/it]\n[ComfyUI] Allocated memory: memory=12.757 GB\n[ComfyUI] Max allocated memory: max_memory=14.346 GB\n[ComfyUI] Max reserved memory: max_reserved=14.812 GB\nExecuting node 5, title: HunyuanVideo Decode, class type: HyVideoDecode\n[ComfyUI]\n[ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.80it/s]\n[ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.74it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.11it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.00it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 51.92it/s]\n[ComfyUI] Prompt executed in 62.51 seconds\noutputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 15.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4", "metrics": { "predict_time": 94.368714911, "total_time": 123.199276 }, "output": "https://replicate.delivery/xezq/JB66or6rpw4XCBK9OVDIkW4OSZH599iEnC47btdZckaYnhBF/HunyuanVideo_00001.mp4", "started_at": "2025-01-17T19:52:35.502561Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-knewvnm2tsidbgoiemo56kapb76me4k2sfzwjca7bito4cf4zmla", "get": "https://api.replicate.com/v1/predictions/qmrfs2n521rm80cmeq98yps03m", "cancel": "https://api.replicate.com/v1/predictions/qmrfs2n521rm80cmeq98yps03m/cancel" }, "version": "04279caf015c30a635cabc4077b5bd82c5c706262eb61797a48db139444bcca9" }Generated inRandom seed set to: 2755017607 Checking inputs ==================================== Checking weights ✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae ✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models ==================================== Running workflow [ComfyUI] got prompt Executing node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader Executing node 42, title: HunyuanVideo Enhance A Video, class type: HyVideoEnhanceAVideo Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder [ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Text encoder to dtype: torch.float16 [ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14 [ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer [ComfyUI] [ComfyUI] Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] [ComfyUI] Loading checkpoint shards: 25%|██▌ | 1/4 [00:00<00:01, 1.78it/s] [ComfyUI] Loading checkpoint shards: 50%|█████ | 2/4 [00:01<00:01, 1.75it/s] [ComfyUI] Loading checkpoint shards: 75%|███████▌ | 3/4 [00:01<00:00, 1.76it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.58it/s] [ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00, 2.21it/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: 52 [ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 54 Executing node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect Executing node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader [ComfyUI] model_type FLOW [ComfyUI] The config attributes {'use_flow_sigmas': True, 'prediction_type': 'flow_prediction'} were passed to FlowMatchDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. [ComfyUI] Using accelerate to load and assign model weights to device... [ComfyUI] Loading LoRA: lora with strength: 1.0 [ComfyUI] Requested to load HyVideoModel [ComfyUI] loaded completely 9.5367431640625e+25 12555.953247070312 True [ComfyUI] Input (height, width, video_length) = (512, 512, 33) Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler [ComfyUI] The config attributes {'reverse': True, 'solver': 'euler'} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. [ComfyUI] Sampling 33 frames in 9 latents at 512x512 with 30 inference steps [ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('flow_shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['n_tokens', 'num_train_timesteps'])])[ComfyUI] [ComfyUI] 0%| | 0/30 [00:00<?, ?it/s] [ComfyUI] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] [ComfyUI] 7%|▋ | 2/30 [00:01<00:26, 1.04it/s] [ComfyUI] 10%|█ | 3/30 [00:03<00:26, 1.00it/s] [ComfyUI] 13%|█▎ | 4/30 [00:04<00:26, 1.01s/it] [ComfyUI] 17%|█▋ | 5/30 [00:05<00:25, 1.02s/it] [ComfyUI] 20%|██ | 6/30 [00:06<00:24, 1.03s/it] [ComfyUI] 23%|██▎ | 7/30 [00:07<00:23, 1.03s/it] [ComfyUI] 27%|██▋ | 8/30 [00:08<00:22, 1.03s/it] [ComfyUI] 30%|███ | 9/30 [00:09<00:21, 1.03s/it] [ComfyUI] 33%|███▎ | 10/30 [00:10<00:20, 1.04s/it] [ComfyUI] 37%|███▋ | 11/30 [00:11<00:19, 1.04s/it] [ComfyUI] 40%|████ | 12/30 [00:12<00:18, 1.04s/it] [ComfyUI] 43%|████▎ | 13/30 [00:13<00:18, 1.08s/it] [ComfyUI] 47%|████▋ | 14/30 [00:14<00:17, 1.06s/it] [ComfyUI] 50%|█████ | 15/30 [00:15<00:15, 1.06s/it] [ComfyUI] 53%|█████▎ | 16/30 [00:16<00:14, 1.05s/it] [ComfyUI] 57%|█████▋ | 17/30 [00:17<00:13, 1.05s/it] [ComfyUI] 60%|██████ | 18/30 [00:18<00:12, 1.05s/it] [ComfyUI] 63%|██████▎ | 19/30 [00:19<00:11, 1.04s/it] [ComfyUI] 67%|██████▋ | 20/30 [00:20<00:10, 1.04s/it] [ComfyUI] 70%|███████ | 21/30 [00:21<00:09, 1.04s/it] [ComfyUI] 73%|███████▎ | 22/30 [00:22<00:08, 1.04s/it] [ComfyUI] 77%|███████▋ | 23/30 [00:23<00:07, 1.04s/it] [ComfyUI] 80%|████████ | 24/30 [00:24<00:06, 1.04s/it] [ComfyUI] 83%|████████▎ | 25/30 [00:26<00:05, 1.04s/it] [ComfyUI] 87%|████████▋ | 26/30 [00:27<00:04, 1.04s/it] [ComfyUI] 90%|█████████ | 27/30 [00:28<00:03, 1.04s/it] [ComfyUI] 93%|█████████▎| 28/30 [00:29<00:02, 1.04s/it] [ComfyUI] 97%|█████████▋| 29/30 [00:30<00:01, 1.04s/it] [ComfyUI] 100%|██████████| 30/30 [00:31<00:00, 1.04s/it] [ComfyUI] 100%|██████████| 30/30 [00:31<00:00, 1.04s/it] [ComfyUI] Allocated memory: memory=12.757 GB [ComfyUI] Max allocated memory: max_memory=14.346 GB [ComfyUI] Max reserved memory: max_reserved=14.812 GB Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode [ComfyUI] [ComfyUI] Decoding rows: 0%| | 0/3 [00:00<?, ?it/s] [ComfyUI] Decoding rows: 33%|███▎ | 1/3 [00:00<00:01, 1.80it/s] [ComfyUI] Decoding rows: 67%|██████▋ | 2/3 [00:01<00:00, 1.74it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.11it/s] [ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:01<00:00, 2.00it/s] [ComfyUI] [ComfyUI] Blending tiles: 0%| | 0/3 [00:00<?, ?it/s] Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 51.92it/s] [ComfyUI] Prompt executed in 62.51 seconds outputs: {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 15.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}} ==================================== HunyuanVideo_00001.png HunyuanVideo_00001.mp4
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