lucataco / hunyuanvideo-community-lora
LoRA Inference for hunyuanvideo-community/HunyuanVideo finetunes
Prediction
lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbdIDwqnw5c5a6xrma0cm7qbs4c5skmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- fps
- 15
- seed
- 0
- width
- 768
- height
- 768
- prompt
- Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.
- extra_lora
- a-r-r-o-w/HunyuanVideo-tuxemons
- lora_scale
- 1.2
- num_frames
- 33
- guidance_scale
- 6
- num_inference_steps
- 50
{ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", { input: { fps: 15, seed: 0, width: 768, height: 768, prompt: "Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.", extra_lora: "a-r-r-o-w/HunyuanVideo-tuxemons", lora_scale: 1.2, num_frames: 33, guidance_scale: 6, num_inference_steps: 50 } } ); // 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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", input={ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/hunyuanvideo-community-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": "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-06T23:01:56.921931Z", "created_at": "2025-01-06T22:58:51.575000Z", "data_removed": false, "error": null, "id": "wqnw5c5a6xrma0cm7qbs4c5skm", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, a cat-like Tuxemon creature walks in alien-world grass, and observes its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }, "logs": "Using seed: 40614\nExtra LoRA detected\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:03<02:56, 3.60s/it]\n 4%|▍ | 2/50 [00:06<02:30, 3.15s/it]\n 6%|▌ | 3/50 [00:10<02:37, 3.35s/it]\n 8%|▊ | 4/50 [00:13<02:38, 3.45s/it]\n 10%|█ | 5/50 [00:17<02:37, 3.50s/it]\n 12%|█▏ | 6/50 [00:20<02:35, 3.54s/it]\n 14%|█▍ | 7/50 [00:24<02:32, 3.56s/it]\n 16%|█▌ | 8/50 [00:28<02:29, 3.57s/it]\n 18%|█▊ | 9/50 [00:31<02:26, 3.58s/it]\n 20%|██ | 10/50 [00:35<02:23, 3.59s/it]\n 22%|██▏ | 11/50 [00:38<02:20, 3.59s/it]\n 24%|██▍ | 12/50 [00:42<02:16, 3.60s/it]\n 26%|██▌ | 13/50 [00:46<02:13, 3.60s/it]\n 28%|██▊ | 14/50 [00:49<02:09, 3.60s/it]\n 30%|███ | 15/50 [00:53<02:05, 3.60s/it]\n 32%|███▏ | 16/50 [00:56<02:02, 3.60s/it]\n 34%|███▍ | 17/50 [01:00<01:58, 3.60s/it]\n 36%|███▌ | 18/50 [01:04<01:55, 3.60s/it]\n 38%|███▊ | 19/50 [01:07<01:51, 3.60s/it]\n 40%|████ | 20/50 [01:11<01:48, 3.60s/it]\n 42%|████▏ | 21/50 [01:14<01:44, 3.60s/it]\n 44%|████▍ | 22/50 [01:18<01:40, 3.60s/it]\n 46%|████▌ | 23/50 [01:22<01:37, 3.60s/it]\n 48%|████▊ | 24/50 [01:25<01:33, 3.60s/it]\n 50%|█████ | 25/50 [01:29<01:29, 3.60s/it]\n 52%|█████▏ | 26/50 [01:32<01:26, 3.60s/it]\n 54%|█████▍ | 27/50 [01:36<01:22, 3.60s/it]\n 56%|█████▌ | 28/50 [01:40<01:19, 3.60s/it]\n 58%|█████▊ | 29/50 [01:43<01:15, 3.59s/it]\n 60%|██████ | 30/50 [01:47<01:11, 3.60s/it]\n 62%|██████▏ | 31/50 [01:50<01:08, 3.59s/it]\n 64%|██████▍ | 32/50 [01:54<01:04, 3.59s/it]\n 66%|██████▌ | 33/50 [01:57<01:01, 3.59s/it]\n 68%|██████▊ | 34/50 [02:01<00:57, 3.59s/it]\n 70%|███████ | 35/50 [02:05<00:53, 3.59s/it]\n 72%|███████▏ | 36/50 [02:08<00:50, 3.59s/it]\n 74%|███████▍ | 37/50 [02:12<00:46, 3.59s/it]\n 76%|███████▌ | 38/50 [02:15<00:43, 3.59s/it]\n 78%|███████▊ | 39/50 [02:19<00:39, 3.59s/it]\n 80%|████████ | 40/50 [02:23<00:35, 3.59s/it]\n 82%|████████▏ | 41/50 [02:26<00:32, 3.59s/it]\n 84%|████████▍ | 42/50 [02:30<00:28, 3.59s/it]\n 86%|████████▌ | 43/50 [02:33<00:25, 3.59s/it]\n 88%|████████▊ | 44/50 [02:37<00:21, 3.59s/it]\n 90%|█████████ | 45/50 [02:41<00:17, 3.59s/it]\n 92%|█████████▏| 46/50 [02:44<00:14, 3.59s/it]\n 94%|█████████▍| 47/50 [02:48<00:10, 3.59s/it]\n 96%|█████████▌| 48/50 [02:51<00:07, 3.59s/it]\n 98%|█████████▊| 49/50 [02:55<00:03, 3.59s/it]\n100%|██████████| 50/50 [02:59<00:00, 3.59s/it]\n100%|██████████| 50/50 [02:59<00:00, 3.58s/it]\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "metrics": { "predict_time": 185.340062559, "total_time": 185.346931 }, "output": "https://replicate.delivery/xezq/Iuc4q3OeTP0NW6foldXTHauE7DCqpxNGoXame4m2wyiIXCFoA/output.mp4", "started_at": "2025-01-06T22:58:51.581868Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-4ropydj2aprnf5xjqniqafvkfg7u2ane7wsicqibh7itrs3cbb2q", "get": "https://api.replicate.com/v1/predictions/wqnw5c5a6xrma0cm7qbs4c5skm", "cancel": "https://api.replicate.com/v1/predictions/wqnw5c5a6xrma0cm7qbs4c5skm/cancel" }, "version": "b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd" }Generated inUsing seed: 40614 Extra LoRA detected 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:03<02:56, 3.60s/it] 4%|▍ | 2/50 [00:06<02:30, 3.15s/it] 6%|▌ | 3/50 [00:10<02:37, 3.35s/it] 8%|▊ | 4/50 [00:13<02:38, 3.45s/it] 10%|█ | 5/50 [00:17<02:37, 3.50s/it] 12%|█▏ | 6/50 [00:20<02:35, 3.54s/it] 14%|█▍ | 7/50 [00:24<02:32, 3.56s/it] 16%|█▌ | 8/50 [00:28<02:29, 3.57s/it] 18%|█▊ | 9/50 [00:31<02:26, 3.58s/it] 20%|██ | 10/50 [00:35<02:23, 3.59s/it] 22%|██▏ | 11/50 [00:38<02:20, 3.59s/it] 24%|██▍ | 12/50 [00:42<02:16, 3.60s/it] 26%|██▌ | 13/50 [00:46<02:13, 3.60s/it] 28%|██▊ | 14/50 [00:49<02:09, 3.60s/it] 30%|███ | 15/50 [00:53<02:05, 3.60s/it] 32%|███▏ | 16/50 [00:56<02:02, 3.60s/it] 34%|███▍ | 17/50 [01:00<01:58, 3.60s/it] 36%|███▌ | 18/50 [01:04<01:55, 3.60s/it] 38%|███▊ | 19/50 [01:07<01:51, 3.60s/it] 40%|████ | 20/50 [01:11<01:48, 3.60s/it] 42%|████▏ | 21/50 [01:14<01:44, 3.60s/it] 44%|████▍ | 22/50 [01:18<01:40, 3.60s/it] 46%|████▌ | 23/50 [01:22<01:37, 3.60s/it] 48%|████▊ | 24/50 [01:25<01:33, 3.60s/it] 50%|█████ | 25/50 [01:29<01:29, 3.60s/it] 52%|█████▏ | 26/50 [01:32<01:26, 3.60s/it] 54%|█████▍ | 27/50 [01:36<01:22, 3.60s/it] 56%|█████▌ | 28/50 [01:40<01:19, 3.60s/it] 58%|█████▊ | 29/50 [01:43<01:15, 3.59s/it] 60%|██████ | 30/50 [01:47<01:11, 3.60s/it] 62%|██████▏ | 31/50 [01:50<01:08, 3.59s/it] 64%|██████▍ | 32/50 [01:54<01:04, 3.59s/it] 66%|██████▌ | 33/50 [01:57<01:01, 3.59s/it] 68%|██████▊ | 34/50 [02:01<00:57, 3.59s/it] 70%|███████ | 35/50 [02:05<00:53, 3.59s/it] 72%|███████▏ | 36/50 [02:08<00:50, 3.59s/it] 74%|███████▍ | 37/50 [02:12<00:46, 3.59s/it] 76%|███████▌ | 38/50 [02:15<00:43, 3.59s/it] 78%|███████▊ | 39/50 [02:19<00:39, 3.59s/it] 80%|████████ | 40/50 [02:23<00:35, 3.59s/it] 82%|████████▏ | 41/50 [02:26<00:32, 3.59s/it] 84%|████████▍ | 42/50 [02:30<00:28, 3.59s/it] 86%|████████▌ | 43/50 [02:33<00:25, 3.59s/it] 88%|████████▊ | 44/50 [02:37<00:21, 3.59s/it] 90%|█████████ | 45/50 [02:41<00:17, 3.59s/it] 92%|█████████▏| 46/50 [02:44<00:14, 3.59s/it] 94%|█████████▍| 47/50 [02:48<00:10, 3.59s/it] 96%|█████████▌| 48/50 [02:51<00:07, 3.59s/it] 98%|█████████▊| 49/50 [02:55<00:03, 3.59s/it] 100%|██████████| 50/50 [02:59<00:00, 3.59s/it] 100%|██████████| 50/50 [02:59<00:00, 3.58s/it] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)Prediction
lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbdID9syt70xyw5rme0cm7qdr3aw6e0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- fps
- 15
- seed
- 0
- width
- 768
- height
- 768
- prompt
- Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.
- extra_lora
- a-r-r-o-w/HunyuanVideo-tuxemons
- lora_scale
- 1.2
- num_frames
- 33
- guidance_scale
- 6
- num_inference_steps
- 50
{ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", { input: { fps: 15, seed: 0, width: 768, height: 768, prompt: "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", extra_lora: "a-r-r-o-w/HunyuanVideo-tuxemons", lora_scale: 1.2, num_frames: 33, guidance_scale: 6, num_inference_steps: 50 } } ); // 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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", input={ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/hunyuanvideo-community-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": "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-06T23:07:47.348525Z", "created_at": "2025-01-06T23:03:19.009000Z", "data_removed": false, "error": null, "id": "9syt70xyw5rme0cm7qdr3aw6e0", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A vibrant yellow Tuxemon, wielding a fiery blue staff, joyfully manipulates swirling flames around its cheerful form.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }, "logs": "Using seed: 33770\nExtra LoRA detected\nNew LoRA detected\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:03<03:04, 3.76s/it]\n 4%|▍ | 2/50 [00:06<02:33, 3.20s/it]\n 6%|▌ | 3/50 [00:10<02:38, 3.37s/it]\n 8%|▊ | 4/50 [00:13<02:38, 3.45s/it]\n 10%|█ | 5/50 [00:17<02:37, 3.49s/it]\n 12%|█▏ | 6/50 [00:20<02:34, 3.52s/it]\n 14%|█▍ | 7/50 [00:24<02:31, 3.53s/it]\n 16%|█▌ | 8/50 [00:27<02:29, 3.55s/it]\n 18%|█▊ | 9/50 [00:31<02:25, 3.55s/it]\n 20%|██ | 10/50 [00:35<02:22, 3.56s/it]\n 22%|██▏ | 11/50 [00:38<02:19, 3.57s/it]\n 24%|██▍ | 12/50 [00:42<02:15, 3.57s/it]\n 26%|██▌ | 13/50 [00:45<02:12, 3.57s/it]\n 28%|██▊ | 14/50 [00:49<02:08, 3.58s/it]\n 30%|███ | 15/50 [00:53<02:05, 3.58s/it]\n 32%|███▏ | 16/50 [00:56<02:01, 3.58s/it]\n 34%|███▍ | 17/50 [01:00<01:58, 3.58s/it]\n 36%|███▌ | 18/50 [01:03<01:54, 3.58s/it]\n 38%|███▊ | 19/50 [01:07<01:51, 3.58s/it]\n 40%|████ | 20/50 [01:10<01:47, 3.58s/it]\n 42%|████▏ | 21/50 [01:14<01:43, 3.58s/it]\n 44%|████▍ | 22/50 [01:18<01:40, 3.58s/it]\n 46%|████▌ | 23/50 [01:21<01:36, 3.58s/it]\n 48%|████▊ | 24/50 [01:25<01:33, 3.58s/it]\n 50%|█████ | 25/50 [01:28<01:29, 3.58s/it]\n 52%|█████▏ | 26/50 [01:32<01:26, 3.58s/it]\n 54%|█████▍ | 27/50 [01:36<01:22, 3.58s/it]\n 56%|█████▌ | 28/50 [01:39<01:18, 3.58s/it]\n 58%|█████▊ | 29/50 [01:43<01:15, 3.58s/it]\n 60%|██████ | 30/50 [01:46<01:11, 3.58s/it]\n 62%|██████▏ | 31/50 [01:50<01:08, 3.58s/it]\n 64%|██████▍ | 32/50 [01:53<01:04, 3.58s/it]\n 66%|██████▌ | 33/50 [01:57<01:00, 3.58s/it]\n 68%|██████▊ | 34/50 [02:01<00:57, 3.58s/it]\n 70%|███████ | 35/50 [02:04<00:53, 3.59s/it]\n 72%|███████▏ | 36/50 [02:08<00:50, 3.59s/it]\n 74%|███████▍ | 37/50 [02:11<00:46, 3.58s/it]\n 76%|███████▌ | 38/50 [02:15<00:43, 3.58s/it]\n 78%|███████▊ | 39/50 [02:19<00:39, 3.59s/it]\n 80%|████████ | 40/50 [02:22<00:35, 3.59s/it]\n 82%|████████▏ | 41/50 [02:26<00:32, 3.58s/it]\n 84%|████████▍ | 42/50 [02:29<00:28, 3.59s/it]\n 86%|████████▌ | 43/50 [02:33<00:25, 3.59s/it]\n 88%|████████▊ | 44/50 [02:36<00:21, 3.58s/it]\n 90%|█████████ | 45/50 [02:40<00:17, 3.58s/it]\n 92%|█████████▏| 46/50 [02:44<00:14, 3.58s/it]\n 94%|█████████▍| 47/50 [02:47<00:10, 3.58s/it]\n 96%|█████████▌| 48/50 [02:51<00:07, 3.58s/it]\n 98%|█████████▊| 49/50 [02:54<00:03, 3.58s/it]\n100%|██████████| 50/50 [02:58<00:00, 3.58s/it]\n100%|██████████| 50/50 [02:58<00:00, 3.57s/it]\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "metrics": { "predict_time": 229.338464556, "total_time": 268.339525 }, "output": "https://replicate.delivery/xezq/xAdFWHPfxeu6zUelxVdIdb24VF0LVhHeoO6E8XuYeHvZIKUgC/output.mp4", "started_at": "2025-01-06T23:03:58.010060Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-eq5tdutv35dxeo34z3gzubs3ssxgzmhzhkyqrrpdlztvysrssmjq", "get": "https://api.replicate.com/v1/predictions/9syt70xyw5rme0cm7qdr3aw6e0", "cancel": "https://api.replicate.com/v1/predictions/9syt70xyw5rme0cm7qdr3aw6e0/cancel" }, "version": "b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd" }Generated inUsing seed: 33770 Extra LoRA detected New LoRA detected 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:03<03:04, 3.76s/it] 4%|▍ | 2/50 [00:06<02:33, 3.20s/it] 6%|▌ | 3/50 [00:10<02:38, 3.37s/it] 8%|▊ | 4/50 [00:13<02:38, 3.45s/it] 10%|█ | 5/50 [00:17<02:37, 3.49s/it] 12%|█▏ | 6/50 [00:20<02:34, 3.52s/it] 14%|█▍ | 7/50 [00:24<02:31, 3.53s/it] 16%|█▌ | 8/50 [00:27<02:29, 3.55s/it] 18%|█▊ | 9/50 [00:31<02:25, 3.55s/it] 20%|██ | 10/50 [00:35<02:22, 3.56s/it] 22%|██▏ | 11/50 [00:38<02:19, 3.57s/it] 24%|██▍ | 12/50 [00:42<02:15, 3.57s/it] 26%|██▌ | 13/50 [00:45<02:12, 3.57s/it] 28%|██▊ | 14/50 [00:49<02:08, 3.58s/it] 30%|███ | 15/50 [00:53<02:05, 3.58s/it] 32%|███▏ | 16/50 [00:56<02:01, 3.58s/it] 34%|███▍ | 17/50 [01:00<01:58, 3.58s/it] 36%|███▌ | 18/50 [01:03<01:54, 3.58s/it] 38%|███▊ | 19/50 [01:07<01:51, 3.58s/it] 40%|████ | 20/50 [01:10<01:47, 3.58s/it] 42%|████▏ | 21/50 [01:14<01:43, 3.58s/it] 44%|████▍ | 22/50 [01:18<01:40, 3.58s/it] 46%|████▌ | 23/50 [01:21<01:36, 3.58s/it] 48%|████▊ | 24/50 [01:25<01:33, 3.58s/it] 50%|█████ | 25/50 [01:28<01:29, 3.58s/it] 52%|█████▏ | 26/50 [01:32<01:26, 3.58s/it] 54%|█████▍ | 27/50 [01:36<01:22, 3.58s/it] 56%|█████▌ | 28/50 [01:39<01:18, 3.58s/it] 58%|█████▊ | 29/50 [01:43<01:15, 3.58s/it] 60%|██████ | 30/50 [01:46<01:11, 3.58s/it] 62%|██████▏ | 31/50 [01:50<01:08, 3.58s/it] 64%|██████▍ | 32/50 [01:53<01:04, 3.58s/it] 66%|██████▌ | 33/50 [01:57<01:00, 3.58s/it] 68%|██████▊ | 34/50 [02:01<00:57, 3.58s/it] 70%|███████ | 35/50 [02:04<00:53, 3.59s/it] 72%|███████▏ | 36/50 [02:08<00:50, 3.59s/it] 74%|███████▍ | 37/50 [02:11<00:46, 3.58s/it] 76%|███████▌ | 38/50 [02:15<00:43, 3.58s/it] 78%|███████▊ | 39/50 [02:19<00:39, 3.59s/it] 80%|████████ | 40/50 [02:22<00:35, 3.59s/it] 82%|████████▏ | 41/50 [02:26<00:32, 3.58s/it] 84%|████████▍ | 42/50 [02:29<00:28, 3.59s/it] 86%|████████▌ | 43/50 [02:33<00:25, 3.59s/it] 88%|████████▊ | 44/50 [02:36<00:21, 3.58s/it] 90%|█████████ | 45/50 [02:40<00:17, 3.58s/it] 92%|█████████▏| 46/50 [02:44<00:14, 3.58s/it] 94%|█████████▍| 47/50 [02:47<00:10, 3.58s/it] 96%|█████████▌| 48/50 [02:51<00:07, 3.58s/it] 98%|█████████▊| 49/50 [02:54<00:03, 3.58s/it] 100%|██████████| 50/50 [02:58<00:00, 3.58s/it] 100%|██████████| 50/50 [02:58<00:00, 3.57s/it] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)Prediction
lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbdIDmhzjg4ae1hrme0cm7qjsy9nmn4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- fps
- 15
- seed
- 0
- width
- 768
- height
- 768
- prompt
- Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.
- extra_lora
- a-r-r-o-w/HunyuanVideo-tuxemons
- lora_scale
- 1.2
- num_frames
- 33
- guidance_scale
- 6
- num_inference_steps
- 30
{ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 }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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", { input: { fps: 15, seed: 0, width: 768, height: 768, prompt: "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.", extra_lora: "a-r-r-o-w/HunyuanVideo-tuxemons", lora_scale: 1.2, num_frames: 33, guidance_scale: 6, num_inference_steps: 30 } } ); // 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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", input={ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/hunyuanvideo-community-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": "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-06T23:17:03.157830Z", "created_at": "2025-01-06T23:13:45.484000Z", "data_removed": false, "error": null, "id": "mhzjg4ae1hrme0cm7qjsy9nmn4", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings.", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 }, "logs": "Using seed: 4878\nExtra LoRA detected\nNew LoRA detected\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:03<01:50, 3.80s/it]\n 7%|▋ | 2/30 [00:06<01:30, 3.23s/it]\n 10%|█ | 3/30 [00:10<01:31, 3.40s/it]\n 13%|█▎ | 4/30 [00:13<01:30, 3.48s/it]\n 17%|█▋ | 5/30 [00:17<01:28, 3.52s/it]\n 20%|██ | 6/30 [00:21<01:25, 3.55s/it]\n 23%|██▎ | 7/30 [00:24<01:22, 3.57s/it]\n 27%|██▋ | 8/30 [00:28<01:18, 3.58s/it]\n 30%|███ | 9/30 [00:31<01:15, 3.58s/it]\n 33%|███▎ | 10/30 [00:35<01:11, 3.59s/it]\n 37%|███▋ | 11/30 [00:39<01:08, 3.59s/it]\n 40%|████ | 12/30 [00:42<01:04, 3.59s/it]\n 43%|████▎ | 13/30 [00:46<01:01, 3.59s/it]\n 47%|████▋ | 14/30 [00:49<00:57, 3.60s/it]\n 50%|█████ | 15/30 [00:53<00:53, 3.60s/it]\n 53%|█████▎ | 16/30 [00:57<00:50, 3.60s/it]\n 57%|█████▋ | 17/30 [01:00<00:46, 3.60s/it]\n 60%|██████ | 18/30 [01:04<00:43, 3.60s/it]\n 63%|██████▎ | 19/30 [01:07<00:39, 3.60s/it]\n 67%|██████▋ | 20/30 [01:11<00:35, 3.60s/it]\n 70%|███████ | 21/30 [01:15<00:32, 3.60s/it]\n 73%|███████▎ | 22/30 [01:18<00:28, 3.60s/it]\n 77%|███████▋ | 23/30 [01:22<00:25, 3.60s/it]\n 80%|████████ | 24/30 [01:25<00:21, 3.60s/it]\n 83%|████████▎ | 25/30 [01:29<00:17, 3.60s/it]\n 87%|████████▋ | 26/30 [01:33<00:14, 3.60s/it]\n 90%|█████████ | 27/30 [01:36<00:10, 3.60s/it]\n 93%|█████████▎| 28/30 [01:40<00:07, 3.60s/it]\n 97%|█████████▋| 29/30 [01:43<00:03, 3.59s/it]\n100%|██████████| 30/30 [01:47<00:00, 3.60s/it]\n100%|██████████| 30/30 [01:47<00:00, 3.58s/it]\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "metrics": { "predict_time": 159.500108565, "total_time": 197.67383 }, "output": "https://replicate.delivery/xezq/BYhwcmfiAnw1Oyz8ipjdfeTQDMZIEhfQwTkuYDPfmGXfbWoAF/output.mp4", "started_at": "2025-01-06T23:14:23.657721Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-lhdlvsfnskqw5wmjod5eizi4u7gd7jfdwh4ex4agd5o2oc2z35fa", "get": "https://api.replicate.com/v1/predictions/mhzjg4ae1hrme0cm7qjsy9nmn4", "cancel": "https://api.replicate.com/v1/predictions/mhzjg4ae1hrme0cm7qjsy9nmn4/cancel" }, "version": "b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd" }Generated inUsing seed: 4878 Extra LoRA detected New LoRA detected 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:50, 3.80s/it] 7%|▋ | 2/30 [00:06<01:30, 3.23s/it] 10%|█ | 3/30 [00:10<01:31, 3.40s/it] 13%|█▎ | 4/30 [00:13<01:30, 3.48s/it] 17%|█▋ | 5/30 [00:17<01:28, 3.52s/it] 20%|██ | 6/30 [00:21<01:25, 3.55s/it] 23%|██▎ | 7/30 [00:24<01:22, 3.57s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.58s/it] 30%|███ | 9/30 [00:31<01:15, 3.58s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.59s/it] 37%|███▋ | 11/30 [00:39<01:08, 3.59s/it] 40%|████ | 12/30 [00:42<01:04, 3.59s/it] 43%|████▎ | 13/30 [00:46<01:01, 3.59s/it] 47%|████▋ | 14/30 [00:49<00:57, 3.60s/it] 50%|█████ | 15/30 [00:53<00:53, 3.60s/it] 53%|█████▎ | 16/30 [00:57<00:50, 3.60s/it] 57%|█████▋ | 17/30 [01:00<00:46, 3.60s/it] 60%|██████ | 18/30 [01:04<00:43, 3.60s/it] 63%|██████▎ | 19/30 [01:07<00:39, 3.60s/it] 67%|██████▋ | 20/30 [01:11<00:35, 3.60s/it] 70%|███████ | 21/30 [01:15<00:32, 3.60s/it] 73%|███████▎ | 22/30 [01:18<00:28, 3.60s/it] 77%|███████▋ | 23/30 [01:22<00:25, 3.60s/it] 80%|████████ | 24/30 [01:25<00:21, 3.60s/it] 83%|████████▎ | 25/30 [01:29<00:17, 3.60s/it] 87%|████████▋ | 26/30 [01:33<00:14, 3.60s/it] 90%|█████████ | 27/30 [01:36<00:10, 3.60s/it] 93%|█████████▎| 28/30 [01:40<00:07, 3.60s/it] 97%|█████████▋| 29/30 [01:43<00:03, 3.59s/it] 100%|██████████| 30/30 [01:47<00:00, 3.60s/it] 100%|██████████| 30/30 [01:47<00:00, 3.58s/it] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)Prediction
lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbdID45s03pr63xrm80cm7qyb4ms7drStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- fps
- 15
- seed
- 0
- width
- 768
- height
- 768
- prompt
- Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details
- extra_lora
- a-r-r-o-w/HunyuanVideo-tuxemons
- lora_scale
- 1.2
- num_frames
- 33
- guidance_scale
- 6
- num_inference_steps
- 30
{ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 }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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", { input: { fps: 15, seed: 0, width: 768, height: 768, prompt: "Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details", extra_lora: "a-r-r-o-w/HunyuanVideo-tuxemons", lora_scale: 1.2, num_frames: 33, guidance_scale: 6, num_inference_steps: 30 } } ); // 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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", input={ "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/hunyuanvideo-community-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": "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-06T23:41:51.222663Z", "created_at": "2025-01-06T23:38:34.399000Z", "data_removed": false, "error": null, "id": "45s03pr63xrm80cm7qyb4ms7dr", "input": { "fps": 15, "seed": 0, "width": 768, "height": 768, "prompt": "Style of snomexut, A menacing blue tuxemon with sharp claws and fierce fangs roars against a cosmic backdrop, its body adorned with glowing orbs and sharp pink details", "extra_lora": "a-r-r-o-w/HunyuanVideo-tuxemons", "lora_scale": 1.2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 30 }, "logs": "Using seed: 5496\nExtra LoRA detected\nNew LoRA detected\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:03<01:49, 3.79s/it]\n 7%|▋ | 2/30 [00:06<01:30, 3.23s/it]\n 10%|█ | 3/30 [00:10<01:31, 3.40s/it]\n 13%|█▎ | 4/30 [00:13<01:30, 3.48s/it]\n 17%|█▋ | 5/30 [00:17<01:28, 3.52s/it]\n 20%|██ | 6/30 [00:21<01:25, 3.55s/it]\n 23%|██▎ | 7/30 [00:24<01:22, 3.57s/it]\n 27%|██▋ | 8/30 [00:28<01:18, 3.58s/it]\n 30%|███ | 9/30 [00:31<01:15, 3.58s/it]\n 33%|███▎ | 10/30 [00:35<01:11, 3.58s/it]\n 37%|███▋ | 11/30 [00:39<01:08, 3.59s/it]\n 40%|████ | 12/30 [00:42<01:04, 3.59s/it]\n 43%|████▎ | 13/30 [00:46<01:01, 3.59s/it]\n 47%|████▋ | 14/30 [00:49<00:57, 3.60s/it]\n 50%|█████ | 15/30 [00:53<00:53, 3.60s/it]\n 53%|█████▎ | 16/30 [00:57<00:50, 3.60s/it]\n 57%|█████▋ | 17/30 [01:00<00:46, 3.60s/it]\n 60%|██████ | 18/30 [01:04<00:43, 3.59s/it]\n 63%|██████▎ | 19/30 [01:07<00:39, 3.60s/it]\n 67%|██████▋ | 20/30 [01:11<00:35, 3.60s/it]\n 70%|███████ | 21/30 [01:14<00:32, 3.60s/it]\n 73%|███████▎ | 22/30 [01:18<00:28, 3.60s/it]\n 77%|███████▋ | 23/30 [01:22<00:25, 3.60s/it]\n 80%|████████ | 24/30 [01:25<00:21, 3.60s/it]\n 83%|████████▎ | 25/30 [01:29<00:17, 3.60s/it]\n 87%|████████▋ | 26/30 [01:32<00:14, 3.60s/it]\n 90%|█████████ | 27/30 [01:36<00:10, 3.60s/it]\n 93%|█████████▎| 28/30 [01:40<00:07, 3.60s/it]\n 97%|█████████▋| 29/30 [01:43<00:03, 3.59s/it]\n100%|██████████| 30/30 [01:47<00:00, 3.59s/it]\n100%|██████████| 30/30 [01:47<00:00, 3.58s/it]\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "metrics": { "predict_time": 158.19950779, "total_time": 196.823663 }, "output": "https://replicate.delivery/xezq/YQABKMLbskpFER2ue13qYJ8SNtxPj1tU0Heauq6waSQfhDFoA/output.mp4", "started_at": "2025-01-06T23:39:13.023155Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-vqilyhvbwemo6wy6kpxd2mcphyuiki3h57quxxp7uujtywkymlmq", "get": "https://api.replicate.com/v1/predictions/45s03pr63xrm80cm7qyb4ms7dr", "cancel": "https://api.replicate.com/v1/predictions/45s03pr63xrm80cm7qyb4ms7dr/cancel" }, "version": "b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd" }Generated inUsing seed: 5496 Extra LoRA detected New LoRA detected 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:49, 3.79s/it] 7%|▋ | 2/30 [00:06<01:30, 3.23s/it] 10%|█ | 3/30 [00:10<01:31, 3.40s/it] 13%|█▎ | 4/30 [00:13<01:30, 3.48s/it] 17%|█▋ | 5/30 [00:17<01:28, 3.52s/it] 20%|██ | 6/30 [00:21<01:25, 3.55s/it] 23%|██▎ | 7/30 [00:24<01:22, 3.57s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.58s/it] 30%|███ | 9/30 [00:31<01:15, 3.58s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.58s/it] 37%|███▋ | 11/30 [00:39<01:08, 3.59s/it] 40%|████ | 12/30 [00:42<01:04, 3.59s/it] 43%|████▎ | 13/30 [00:46<01:01, 3.59s/it] 47%|████▋ | 14/30 [00:49<00:57, 3.60s/it] 50%|█████ | 15/30 [00:53<00:53, 3.60s/it] 53%|█████▎ | 16/30 [00:57<00:50, 3.60s/it] 57%|█████▋ | 17/30 [01:00<00:46, 3.60s/it] 60%|██████ | 18/30 [01:04<00:43, 3.59s/it] 63%|██████▎ | 19/30 [01:07<00:39, 3.60s/it] 67%|██████▋ | 20/30 [01:11<00:35, 3.60s/it] 70%|███████ | 21/30 [01:14<00:32, 3.60s/it] 73%|███████▎ | 22/30 [01:18<00:28, 3.60s/it] 77%|███████▋ | 23/30 [01:22<00:25, 3.60s/it] 80%|████████ | 24/30 [01:25<00:21, 3.60s/it] 83%|████████▎ | 25/30 [01:29<00:17, 3.60s/it] 87%|████████▋ | 26/30 [01:32<00:14, 3.60s/it] 90%|█████████ | 27/30 [01:36<00:10, 3.60s/it] 93%|█████████▎| 28/30 [01:40<00:07, 3.60s/it] 97%|█████████▋| 29/30 [01:43<00:03, 3.59s/it] 100%|██████████| 30/30 [01:47<00:00, 3.59s/it] 100%|██████████| 30/30 [01:47<00:00, 3.58s/it] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)Prediction
lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbdIDjtzrzp9nzhrmc0cm7rb93xbxemStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- fps
- 15
- seed
- 0
- width
- 512
- height
- 512
- prompt
- a gingerbread man is dancing on a table. melty.
- extra_lora
- lucataco/hunyuan-lora-melty-test-3
- lora_scale
- 2
- num_frames
- 33
- guidance_scale
- 6
- num_inference_steps
- 50
{ "fps": 15, "seed": 0, "width": 512, "height": 512, "prompt": "a gingerbread man is dancing on a table. melty.", "extra_lora": "lucataco/hunyuan-lora-melty-test-3", "lora_scale": 2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", { input: { fps: 15, seed: 0, width: 512, height: 512, prompt: "a gingerbread man is dancing on a table. melty.", extra_lora: "lucataco/hunyuan-lora-melty-test-3", lora_scale: 2, num_frames: 33, guidance_scale: 6, num_inference_steps: 50 } } ); // 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 lucataco/hunyuanvideo-community-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", input={ "fps": 15, "seed": 0, "width": 512, "height": 512, "prompt": "a gingerbread man is dancing on a table. melty.", "extra_lora": "lucataco/hunyuan-lora-melty-test-3", "lora_scale": 2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/hunyuanvideo-community-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": "lucataco/hunyuanvideo-community-lora:b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd", "input": { "fps": 15, "seed": 0, "width": 512, "height": 512, "prompt": "a gingerbread man is dancing on a table. melty.", "extra_lora": "lucataco/hunyuan-lora-melty-test-3", "lora_scale": 2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-07T00:09:28.275504Z", "created_at": "2025-01-07T00:07:10.588000Z", "data_removed": false, "error": null, "id": "jtzrzp9nzhrmc0cm7rb93xbxem", "input": { "fps": 15, "seed": 0, "width": 512, "height": 512, "prompt": "a gingerbread man is dancing on a table. melty.", "extra_lora": "lucataco/hunyuan-lora-melty-test-3", "lora_scale": 2, "num_frames": 33, "guidance_scale": 6, "num_inference_steps": 50 }, "logs": "Using seed: 9192\nExtra LoRA detected\nNew LoRA detected\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:56, 1.16s/it]\n 4%|▍ | 2/50 [00:01<00:44, 1.07it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.05it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.04it/s]\n 10%|█ | 5/50 [00:04<00:43, 1.03it/s]\n 12%|█▏ | 6/50 [00:05<00:42, 1.03it/s]\n 14%|█▍ | 7/50 [00:06<00:41, 1.03it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.02it/s]\n 18%|█▊ | 9/50 [00:08<00:40, 1.02it/s]\n 20%|██ | 10/50 [00:09<00:39, 1.02it/s]\n 22%|██▏ | 11/50 [00:10<00:38, 1.02it/s]\n 24%|██▍ | 12/50 [00:11<00:37, 1.02it/s]\n 26%|██▌ | 13/50 [00:12<00:36, 1.02it/s]\n 28%|██▊ | 14/50 [00:13<00:35, 1.02it/s]\n 30%|███ | 15/50 [00:14<00:34, 1.02it/s]\n 32%|███▏ | 16/50 [00:15<00:33, 1.02it/s]\n 34%|███▍ | 17/50 [00:16<00:32, 1.02it/s]\n 36%|███▌ | 18/50 [00:17<00:31, 1.02it/s]\n 38%|███▊ | 19/50 [00:18<00:30, 1.02it/s]\n 40%|████ | 20/50 [00:19<00:29, 1.02it/s]\n 42%|████▏ | 21/50 [00:20<00:28, 1.02it/s]\n 44%|████▍ | 22/50 [00:21<00:27, 1.02it/s]\n 46%|████▌ | 23/50 [00:22<00:26, 1.02it/s]\n 48%|████▊ | 24/50 [00:23<00:25, 1.02it/s]\n 50%|█████ | 25/50 [00:24<00:24, 1.02it/s]\n 52%|█████▏ | 26/50 [00:25<00:23, 1.02it/s]\n 54%|█████▍ | 27/50 [00:26<00:22, 1.02it/s]\n 56%|█████▌ | 28/50 [00:27<00:21, 1.02it/s]\n 58%|█████▊ | 29/50 [00:28<00:20, 1.02it/s]\n 60%|██████ | 30/50 [00:29<00:19, 1.02it/s]\n 62%|██████▏ | 31/50 [00:30<00:18, 1.02it/s]\n 64%|██████▍ | 32/50 [00:31<00:17, 1.02it/s]\n 66%|██████▌ | 33/50 [00:32<00:16, 1.02it/s]\n 68%|██████▊ | 34/50 [00:33<00:15, 1.02it/s]\n 70%|███████ | 35/50 [00:34<00:14, 1.02it/s]\n 72%|███████▏ | 36/50 [00:35<00:13, 1.02it/s]\n 74%|███████▍ | 37/50 [00:36<00:12, 1.02it/s]\n 76%|███████▌ | 38/50 [00:37<00:11, 1.02it/s]\n 78%|███████▊ | 39/50 [00:38<00:10, 1.02it/s]\n 80%|████████ | 40/50 [00:39<00:09, 1.02it/s]\n 82%|████████▏ | 41/50 [00:40<00:08, 1.02it/s]\n 84%|████████▍ | 42/50 [00:41<00:07, 1.02it/s]\n 86%|████████▌ | 43/50 [00:41<00:06, 1.02it/s]\n 88%|████████▊ | 44/50 [00:42<00:05, 1.02it/s]\n 90%|█████████ | 45/50 [00:43<00:04, 1.02it/s]\n 92%|█████████▏| 46/50 [00:44<00:03, 1.02it/s]\n 94%|█████████▍| 47/50 [00:45<00:02, 1.02it/s]\n 96%|█████████▌| 48/50 [00:46<00:01, 1.02it/s]\n 98%|█████████▊| 49/50 [00:47<00:00, 1.02it/s]\n100%|██████████| 50/50 [00:48<00:00, 1.02it/s]\n100%|██████████| 50/50 [00:48<00:00, 1.02it/s]\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)", "metrics": { "predict_time": 83.877324801, "total_time": 137.687504 }, "output": "https://replicate.delivery/xezq/KusUksws9N4eWC3mhnXXQH786fRBBNO4Jz2ggb7xH9k4KiCUA/output.mp4", "started_at": "2025-01-07T00:08:04.398179Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-tyc6ca56qjuxksiv5vpm33rdrwa3msfkikmwjgyjbyp3apu7yiwq", "get": "https://api.replicate.com/v1/predictions/jtzrzp9nzhrmc0cm7rb93xbxem", "cancel": "https://api.replicate.com/v1/predictions/jtzrzp9nzhrmc0cm7rb93xbxem/cancel" }, "version": "b3bacda053c13b8a8899d1641b2354343d576895941e5c118b90fe73e8a3bbbd" }Generated inUsing seed: 9192 Extra LoRA detected New LoRA detected 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:56, 1.16s/it] 4%|▍ | 2/50 [00:01<00:44, 1.07it/s] 6%|▌ | 3/50 [00:02<00:44, 1.05it/s] 8%|▊ | 4/50 [00:03<00:44, 1.04it/s] 10%|█ | 5/50 [00:04<00:43, 1.03it/s] 12%|█▏ | 6/50 [00:05<00:42, 1.03it/s] 14%|█▍ | 7/50 [00:06<00:41, 1.03it/s] 16%|█▌ | 8/50 [00:07<00:41, 1.02it/s] 18%|█▊ | 9/50 [00:08<00:40, 1.02it/s] 20%|██ | 10/50 [00:09<00:39, 1.02it/s] 22%|██▏ | 11/50 [00:10<00:38, 1.02it/s] 24%|██▍ | 12/50 [00:11<00:37, 1.02it/s] 26%|██▌ | 13/50 [00:12<00:36, 1.02it/s] 28%|██▊ | 14/50 [00:13<00:35, 1.02it/s] 30%|███ | 15/50 [00:14<00:34, 1.02it/s] 32%|███▏ | 16/50 [00:15<00:33, 1.02it/s] 34%|███▍ | 17/50 [00:16<00:32, 1.02it/s] 36%|███▌ | 18/50 [00:17<00:31, 1.02it/s] 38%|███▊ | 19/50 [00:18<00:30, 1.02it/s] 40%|████ | 20/50 [00:19<00:29, 1.02it/s] 42%|████▏ | 21/50 [00:20<00:28, 1.02it/s] 44%|████▍ | 22/50 [00:21<00:27, 1.02it/s] 46%|████▌ | 23/50 [00:22<00:26, 1.02it/s] 48%|████▊ | 24/50 [00:23<00:25, 1.02it/s] 50%|█████ | 25/50 [00:24<00:24, 1.02it/s] 52%|█████▏ | 26/50 [00:25<00:23, 1.02it/s] 54%|█████▍ | 27/50 [00:26<00:22, 1.02it/s] 56%|█████▌ | 28/50 [00:27<00:21, 1.02it/s] 58%|█████▊ | 29/50 [00:28<00:20, 1.02it/s] 60%|██████ | 30/50 [00:29<00:19, 1.02it/s] 62%|██████▏ | 31/50 [00:30<00:18, 1.02it/s] 64%|██████▍ | 32/50 [00:31<00:17, 1.02it/s] 66%|██████▌ | 33/50 [00:32<00:16, 1.02it/s] 68%|██████▊ | 34/50 [00:33<00:15, 1.02it/s] 70%|███████ | 35/50 [00:34<00:14, 1.02it/s] 72%|███████▏ | 36/50 [00:35<00:13, 1.02it/s] 74%|███████▍ | 37/50 [00:36<00:12, 1.02it/s] 76%|███████▌ | 38/50 [00:37<00:11, 1.02it/s] 78%|███████▊ | 39/50 [00:38<00:10, 1.02it/s] 80%|████████ | 40/50 [00:39<00:09, 1.02it/s] 82%|████████▏ | 41/50 [00:40<00:08, 1.02it/s] 84%|████████▍ | 42/50 [00:41<00:07, 1.02it/s] 86%|████████▌ | 43/50 [00:41<00:06, 1.02it/s] 88%|████████▊ | 44/50 [00:42<00:05, 1.02it/s] 90%|█████████ | 45/50 [00:43<00:04, 1.02it/s] 92%|█████████▏| 46/50 [00:44<00:03, 1.02it/s] 94%|█████████▍| 47/50 [00:45<00:02, 1.02it/s] 96%|█████████▌| 48/50 [00:46<00:01, 1.02it/s] 98%|█████████▊| 49/50 [00:47<00:00, 1.02it/s] 100%|██████████| 50/50 [00:48<00:00, 1.02it/s] 100%|██████████| 50/50 [00:48<00:00, 1.02it/s] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
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Run this model
