wavespeedai
/
wan-2.1-i2v-720p
Accelerated inference for Wan 2.1 14B image to video with high resolution, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation.
Prediction
wavespeedai/wan-2.1-i2v-720pOfficial modelIDznz8rgt7r9rme0cn8her9vwgs8StatusSucceededSourceWebTotal durationCreatedInput
- prompt
- a woman turns as her dress blows in the wind
- max_area
- 1280x720
- num_frames
- 81
- sample_shift
- 8
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 6
{ "image": "https://api.replicate.com/v1/files/NTliZTAyYjItNmUzMy00MGJlLTk1YWYtMzQyMWI5NWFjOGQ1/download?expiry=1740612318&owner=wavespeedai&signature=NmJd%252BAq0TrAmRJT50xqsJsd0U6mMoG3C1qBeXh%252Bekfg%253D", "prompt": "a woman turns as her dress blows in the wind", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { image: "https://api.replicate.com/v1/files/NTliZTAyYjItNmUzMy00MGJlLTk1YWYtMzQyMWI5NWFjOGQ1/download?expiry=1740612318&owner=wavespeedai&signature=NmJd%252BAq0TrAmRJT50xqsJsd0U6mMoG3C1qBeXh%252Bekfg%253D", prompt: "a woman turns as her dress blows in the wind", num_frames: 81, sample_shift: 8, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 6 }; const output = await replicate.run("wavespeedai/wan-2.1-i2v-720p", { input }); // 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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wavespeedai/wan-2.1-i2v-720p", input={ "image": "https://api.replicate.com/v1/files/NTliZTAyYjItNmUzMy00MGJlLTk1YWYtMzQyMWI5NWFjOGQ1/download?expiry=1740612318&owner=wavespeedai&signature=NmJd%252BAq0TrAmRJT50xqsJsd0U6mMoG3C1qBeXh%252Bekfg%253D", "prompt": "a woman turns as her dress blows in the wind", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run wavespeedai/wan-2.1-i2v-720p 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 $'{ "input": { "image": "https://api.replicate.com/v1/files/NTliZTAyYjItNmUzMy00MGJlLTk1YWYtMzQyMWI5NWFjOGQ1/download?expiry=1740612318&owner=wavespeedai&signature=NmJd%252BAq0TrAmRJT50xqsJsd0U6mMoG3C1qBeXh%252Bekfg%253D", "prompt": "a woman turns as her dress blows in the wind", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-i2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-26T22:34:26.958447Z", "created_at": "2025-02-26T22:25:18.786000Z", "data_removed": false, "error": null, "id": "znz8rgt7r9rme0cn8her9vwgs8", "input": { "image": "https://api.replicate.com/v1/files/NTliZTAyYjItNmUzMy00MGJlLTk1YWYtMzQyMWI5NWFjOGQ1/download?expiry=1740612318&owner=wavespeedai&signature=NmJd%252BAq0TrAmRJT50xqsJsd0U6mMoG3C1qBeXh%252Bekfg%253D", "prompt": "a woman turns as her dress blows in the wind", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 }, "logs": "Using seed: 1781420509\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n3%|▎ | 1/30 [00:05<02:29, 5.15s/it]\n3%|▎ | 1/30 [00:05<02:29, 5.16s/it]\n3%|▎ | 1/30 [00:05<02:27, 5.10s/it]\n 3%|▎ | 1/30 [00:05<02:27, 5.10s/it]\n 3%|▎ | 1/30 [00:05<02:26, 5.06s/it]\n 3%|▎ | 1/30 [00:05<02:27, 5.08s/it]\n 3%|▎ | 1/30 [00:05<02:27, 5.07s/it]\n 3%|▎ | 1/30 [00:05<02:26, 5.07s/it]\n7%|▋ | 2/30 [00:10<02:22, 5.07s/it]\n7%|▋ | 2/30 [00:10<02:22, 5.10s/it]\n7%|▋ | 2/30 [00:10<02:22, 5.10s/it]\n7%|▋ | 2/30 [00:10<02:21, 5.06s/it]\n7%|▋ | 2/30 [00:10<02:21, 5.07s/it]\n7%|▋ | 2/30 [00:10<02:22, 5.08s/it]\n7%|▋ | 2/30 [00:10<02:21, 5.06s/it]\n 7%|▋ | 2/30 [00:10<02:21, 5.06s/it]\n10%|█ | 3/30 [00:15<02:16, 5.07s/it]\n10%|█ | 3/30 [00:15<02:17, 5.08s/it]\n10%|█ | 3/30 [00:15<02:17, 5.08s/it]\n 10%|█ | 3/30 [00:15<02:16, 5.07s/it]\n 10%|█ | 3/30 [00:15<02:16, 5.06s/it]\n 10%|█ | 3/30 [00:15<02:16, 5.06s/it]\n 10%|█ | 3/30 [00:15<02:16, 5.06s/it]\n 10%|█ | 3/30 [00:15<02:16, 5.06s/it]\n13%|█▎ | 4/30 [00:20<02:11, 5.07s/it]\n13%|█▎ | 4/30 [00:20<02:11, 5.07s/it]\n 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it]\n 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it]\n13%|█▎ | 4/30 [00:20<02:11, 5.07s/it]\n 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it]\n 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it]\n 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it]\n17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n17%|█▋ | 5/30 [00:25<02:06, 5.07s/it]\n 17%|█▋ | 5/30 [00:25<02:06, 5.07s/it]\n 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it]\n20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n20%|██ | 6/30 [00:30<02:01, 5.07s/it]\n20%|██ | 6/30 [00:30<02:01, 5.07s/it]\n20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n 20%|██ | 6/30 [00:30<02:01, 5.06s/it]\n23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it]\n27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n 30%|███ | 9/30 [00:45<01:46, 5.06s/it]\n33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n 40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n 40%|████ | 12/30 [01:00<01:31, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n 50%|█████ | 15/30 [01:15<01:15, 5.06s/it]\n53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it]\n53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it]\n 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it]\n57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n 60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n 60%|██████ | 18/30 [01:31<01:00, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n 70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n 70%|███████ | 21/30 [01:46<00:45, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n 80%|████████ | 24/30 [02:01<00:30, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\n100%|██████████| 30/30 [02:31<00:00, 5.06s/it]\nTime elapsed: 161.82s\nSaving generated video to output.mp4", "metrics": { "predict_time": 163.34941098, "total_time": 548.172447 }, "output": "https://replicate.delivery/xezq/QgoT3gQG45pCBVOfrnfgeGS5Vn2BTnDB0VNQ0pRG2EWkHpmoA/output.mp4", "started_at": "2025-02-26T22:31:43.609037Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5d5cp3yp2njtjc3kxokfw6bikdxkgvwdxuwxldlyivwteotm3cna", "get": "https://api.replicate.com/v1/predictions/znz8rgt7r9rme0cn8her9vwgs8", "cancel": "https://api.replicate.com/v1/predictions/znz8rgt7r9rme0cn8her9vwgs8/cancel" }, "version": "hidden" }Generated inUsing seed: 1781420509 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:05<02:29, 5.15s/it] 3%|▎ | 1/30 [00:05<02:29, 5.16s/it] 3%|▎ | 1/30 [00:05<02:27, 5.10s/it] 3%|▎ | 1/30 [00:05<02:27, 5.10s/it] 3%|▎ | 1/30 [00:05<02:26, 5.06s/it] 3%|▎ | 1/30 [00:05<02:27, 5.08s/it] 3%|▎ | 1/30 [00:05<02:27, 5.07s/it] 3%|▎ | 1/30 [00:05<02:26, 5.07s/it] 7%|▋ | 2/30 [00:10<02:22, 5.07s/it] 7%|▋ | 2/30 [00:10<02:22, 5.10s/it] 7%|▋ | 2/30 [00:10<02:22, 5.10s/it] 7%|▋ | 2/30 [00:10<02:21, 5.06s/it] 7%|▋ | 2/30 [00:10<02:21, 5.07s/it] 7%|▋ | 2/30 [00:10<02:22, 5.08s/it] 7%|▋ | 2/30 [00:10<02:21, 5.06s/it] 7%|▋ | 2/30 [00:10<02:21, 5.06s/it] 10%|█ | 3/30 [00:15<02:16, 5.07s/it] 10%|█ | 3/30 [00:15<02:17, 5.08s/it] 10%|█ | 3/30 [00:15<02:17, 5.08s/it] 10%|█ | 3/30 [00:15<02:16, 5.07s/it] 10%|█ | 3/30 [00:15<02:16, 5.06s/it] 10%|█ | 3/30 [00:15<02:16, 5.06s/it] 10%|█ | 3/30 [00:15<02:16, 5.06s/it] 10%|█ | 3/30 [00:15<02:16, 5.06s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.07s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.07s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.07s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.07s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.07s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.07s/it] 20%|██ | 6/30 [00:30<02:01, 5.07s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 20%|██ | 6/30 [00:30<02:01, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 23%|██▎ | 7/30 [00:35<01:56, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 27%|██▋ | 8/30 [00:40<01:51, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 30%|███ | 9/30 [00:45<01:46, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 33%|███▎ | 10/30 [00:50<01:41, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 37%|███▋ | 11/30 [00:55<01:36, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 40%|████ | 12/30 [01:00<01:31, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 43%|████▎ | 13/30 [01:05<01:26, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 47%|████▋ | 14/30 [01:10<01:20, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 50%|█████ | 15/30 [01:15<01:15, 5.06s/it] 53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:21<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it] 53%|█████▎ | 16/30 [01:20<01:10, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 57%|█████▋ | 17/30 [01:26<01:05, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 60%|██████ | 18/30 [01:31<01:00, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 63%|██████▎ | 19/30 [01:36<00:55, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 67%|██████▋ | 20/30 [01:41<00:50, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 70%|███████ | 21/30 [01:46<00:45, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 73%|███████▎ | 22/30 [01:51<00:40, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 77%|███████▋ | 23/30 [01:56<00:35, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 80%|████████ | 24/30 [02:01<00:30, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 83%|████████▎ | 25/30 [02:06<00:25, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 87%|████████▋ | 26/30 [02:11<00:20, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 90%|█████████ | 27/30 [02:16<00:15, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 93%|█████████▎| 28/30 [02:21<00:10, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 97%|█████████▋| 29/30 [02:26<00:05, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] 100%|██████████| 30/30 [02:31<00:00, 5.06s/it] Time elapsed: 161.82s Saving generated video to output.mp4Prediction
wavespeedai/wan-2.1-i2v-720pOfficial modelID3gw8hhnaznrme0cn8k8rwtp60gStatusSucceededSourceWebTotal durationCreatedInput
- image
- prompt
- Friendly dragon flying over a farm
- max_area
- 1280x720
- num_frames
- 81
- sample_shift
- 8
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 6
{ "image": "https://replicate.delivery/pbxt/MZLkcXOYcfHqlrXDOx05BV8ZhR2zgNcLawn8KSnCxU1qb9nI/image.png", "prompt": "Friendly dragon flying over a farm", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { image: "https://replicate.delivery/pbxt/MZLkcXOYcfHqlrXDOx05BV8ZhR2zgNcLawn8KSnCxU1qb9nI/image.png", prompt: "Friendly dragon flying over a farm", max_area: "1280x720", num_frames: 81, sample_shift: 8, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 6 }; const output = await replicate.run("wavespeedai/wan-2.1-i2v-720p", { input }); // 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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wavespeedai/wan-2.1-i2v-720p", input={ "image": "https://replicate.delivery/pbxt/MZLkcXOYcfHqlrXDOx05BV8ZhR2zgNcLawn8KSnCxU1qb9nI/image.png", "prompt": "Friendly dragon flying over a farm", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run wavespeedai/wan-2.1-i2v-720p 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 $'{ "input": { "image": "https://replicate.delivery/pbxt/MZLkcXOYcfHqlrXDOx05BV8ZhR2zgNcLawn8KSnCxU1qb9nI/image.png", "prompt": "Friendly dragon flying over a farm", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-i2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-27T00:35:12.800977Z", "created_at": "2025-02-27T00:32:26.365000Z", "data_removed": false, "error": null, "id": "3gw8hhnaznrme0cn8k8rwtp60g", "input": { "image": "https://replicate.delivery/pbxt/MZLkcXOYcfHqlrXDOx05BV8ZhR2zgNcLawn8KSnCxU1qb9nI/image.png", "prompt": "Friendly dragon flying over a farm", "max_area": "1280x720", "num_frames": 81, "sample_shift": 8, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 6 }, "logs": "Using seed: 1655258669\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n3%|▎ | 1/30 [00:05<02:30, 5.18s/it]\n3%|▎ | 1/30 [00:05<02:29, 5.17s/it]\n3%|▎ | 1/30 [00:05<02:29, 5.16s/it]\n3%|▎ | 1/30 [00:05<02:29, 5.14s/it]\n3%|▎ | 1/30 [00:05<02:30, 5.17s/it]\n3%|▎ | 1/30 [00:05<02:30, 5.20s/it]\n3%|▎ | 1/30 [00:05<02:30, 5.18s/it]\n 3%|▎ | 1/30 [00:05<02:29, 5.17s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.14s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.16s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.16s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.15s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.16s/it]\n 7%|▋ | 2/30 [00:10<02:24, 5.16s/it]\n7%|▋ | 2/30 [00:10<02:24, 5.17s/it]\n 7%|▋ | 2/30 [00:10<02:24, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n10%|█ | 3/30 [00:15<02:19, 5.15s/it]\n 10%|█ | 3/30 [00:15<02:19, 5.16s/it]\n 10%|█ | 3/30 [00:15<02:19, 5.17s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n13%|█▎ | 4/30 [00:20<02:14, 5.16s/it]\n 13%|█▎ | 4/30 [00:20<02:14, 5.17s/it]\n17%|█▋ | 5/30 [00:25<02:08, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:08, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n 20%|██ | 6/30 [00:30<02:03, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n 30%|███ | 9/30 [00:46<01:48, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.16s/it]\n37%|███▋ | 11/30 [00:56<01:38, 5.17s/it]\n 37%|███▋ | 11/30 [00:56<01:38, 5.17s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n 40%|████ | 12/30 [01:01<01:32, 5.16s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n43%|████▎ | 13/30 [01:07<01:27, 5.17s/it]\n 43%|████▎ | 13/30 [01:07<01:27, 5.16s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n 50%|█████ | 15/30 [01:17<01:17, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it]\n60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:33<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:33<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n 60%|██████ | 18/30 [01:32<01:02, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n 70%|███████ | 21/30 [01:48<00:46, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it]\n80%|████████ | 24/30 [02:03<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n 80%|████████ | 24/30 [02:04<00:31, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it]\n100%|██████████| 30/30 [02:34<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:34<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\n100%|██████████| 30/30 [02:35<00:00, 5.17s/it]\nTime elapsed: 165.23s\nSaving generated video to output.mp4", "metrics": { "predict_time": 166.421063914, "total_time": 166.435977 }, "output": "https://replicate.delivery/xezq/7tttKraQDxZQPRB4wOk8CYQRl4C7EqU8X5epXeWjNHPAVWTUA/output.mp4", "started_at": "2025-02-27T00:32:26.379913Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-opkbfwqhc4qojqz26by72t4rgco2qb2ojv2utakhr57cl57qbwra", "get": "https://api.replicate.com/v1/predictions/3gw8hhnaznrme0cn8k8rwtp60g", "cancel": "https://api.replicate.com/v1/predictions/3gw8hhnaznrme0cn8k8rwtp60g/cancel" }, "version": "hidden" }Generated inUsing seed: 1655258669 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:05<02:30, 5.18s/it] 3%|▎ | 1/30 [00:05<02:29, 5.17s/it] 3%|▎ | 1/30 [00:05<02:29, 5.16s/it] 3%|▎ | 1/30 [00:05<02:29, 5.14s/it] 3%|▎ | 1/30 [00:05<02:30, 5.17s/it] 3%|▎ | 1/30 [00:05<02:30, 5.20s/it] 3%|▎ | 1/30 [00:05<02:30, 5.18s/it] 3%|▎ | 1/30 [00:05<02:29, 5.17s/it] 7%|▋ | 2/30 [00:10<02:24, 5.14s/it] 7%|▋ | 2/30 [00:10<02:24, 5.16s/it] 7%|▋ | 2/30 [00:10<02:24, 5.16s/it] 7%|▋ | 2/30 [00:10<02:24, 5.15s/it] 7%|▋ | 2/30 [00:10<02:24, 5.16s/it] 7%|▋ | 2/30 [00:10<02:24, 5.16s/it] 7%|▋ | 2/30 [00:10<02:24, 5.17s/it] 7%|▋ | 2/30 [00:10<02:24, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.15s/it] 10%|█ | 3/30 [00:15<02:19, 5.16s/it] 10%|█ | 3/30 [00:15<02:19, 5.17s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.16s/it] 13%|█▎ | 4/30 [00:20<02:14, 5.17s/it] 17%|█▋ | 5/30 [00:25<02:08, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:08, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 17%|█▋ | 5/30 [00:25<02:09, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 20%|██ | 6/30 [00:30<02:03, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 23%|██▎ | 7/30 [00:36<01:58, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 27%|██▋ | 8/30 [00:41<01:53, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 30%|███ | 9/30 [00:46<01:48, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 33%|███▎ | 10/30 [00:51<01:43, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.16s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.17s/it] 37%|███▋ | 11/30 [00:56<01:38, 5.17s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 40%|████ | 12/30 [01:01<01:32, 5.16s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.17s/it] 43%|████▎ | 13/30 [01:07<01:27, 5.16s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 47%|████▋ | 14/30 [01:12<01:22, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 50%|█████ | 15/30 [01:17<01:17, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 53%|█████▎ | 16/30 [01:22<01:12, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 57%|█████▋ | 17/30 [01:27<01:07, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 60%|██████ | 18/30 [01:33<01:02, 5.17s/it] 60%|██████ | 18/30 [01:33<01:02, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 60%|██████ | 18/30 [01:32<01:02, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 63%|██████▎ | 19/30 [01:38<00:56, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 67%|██████▋ | 20/30 [01:43<00:51, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 70%|███████ | 21/30 [01:48<00:46, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 73%|███████▎ | 22/30 [01:53<00:41, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 77%|███████▋ | 23/30 [01:58<00:36, 5.17s/it] 80%|████████ | 24/30 [02:03<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 80%|████████ | 24/30 [02:04<00:31, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 83%|████████▎ | 25/30 [02:09<00:25, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 87%|████████▋ | 26/30 [02:14<00:20, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 90%|█████████ | 27/30 [02:19<00:15, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 93%|█████████▎| 28/30 [02:24<00:10, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 97%|█████████▋| 29/30 [02:29<00:05, 5.17s/it] 100%|██████████| 30/30 [02:34<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:34<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] 100%|██████████| 30/30 [02:35<00:00, 5.17s/it] Time elapsed: 165.23s Saving generated video to output.mp4Prediction
wavespeedai/wan-2.1-i2v-720pOfficial modelIDt6mwc6x4msrm80cn90z8s52nacStatusSucceededSourceWebTotal durationCreatedInput
- image
- prompt
- A woman sits alone with a coffee in a cafe
- max_area
- 1280x720
- num_frames
- 81
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "image": "https://replicate.delivery/pbxt/MZaOoKOLwmHYSIJwCsPFa3UuZCsW464XaTZTKtjmX8powpg9/s2r5eac565rma0cmqnktpdrf10.png", "prompt": "A woman sits alone with a coffee in a cafe", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { image: "https://replicate.delivery/pbxt/MZaOoKOLwmHYSIJwCsPFa3UuZCsW464XaTZTKtjmX8powpg9/s2r5eac565rma0cmqnktpdrf10.png", prompt: "A woman sits alone with a coffee in a cafe", max_area: "1280x720", num_frames: 81, sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 }; const output = await replicate.run("wavespeedai/wan-2.1-i2v-720p", { input }); // 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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wavespeedai/wan-2.1-i2v-720p", input={ "image": "https://replicate.delivery/pbxt/MZaOoKOLwmHYSIJwCsPFa3UuZCsW464XaTZTKtjmX8powpg9/s2r5eac565rma0cmqnktpdrf10.png", "prompt": "A woman sits alone with a coffee in a cafe", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run wavespeedai/wan-2.1-i2v-720p 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 $'{ "input": { "image": "https://replicate.delivery/pbxt/MZaOoKOLwmHYSIJwCsPFa3UuZCsW464XaTZTKtjmX8powpg9/s2r5eac565rma0cmqnktpdrf10.png", "prompt": "A woman sits alone with a coffee in a cafe", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-i2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-27T16:32:53.034044Z", "created_at": "2025-02-27T16:30:19.814000Z", "data_removed": false, "error": null, "id": "t6mwc6x4msrm80cn90z8s52nac", "input": { "image": "https://replicate.delivery/pbxt/MZaOoKOLwmHYSIJwCsPFa3UuZCsW464XaTZTKtjmX8powpg9/s2r5eac565rma0cmqnktpdrf10.png", "prompt": "A woman sits alone with a coffee in a cafe", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Using seed: 740508834\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n3%|▎ | 1/30 [00:04<02:17, 4.75s/it]\n3%|▎ | 1/30 [00:04<02:17, 4.73s/it]\n3%|▎ | 1/30 [00:04<02:17, 4.76s/it]\n3%|▎ | 1/30 [00:04<02:18, 4.76s/it]\n3%|▎ | 1/30 [00:04<02:17, 4.75s/it]\n 3%|▎ | 1/30 [00:04<02:18, 4.77s/it]\n 3%|▎ | 1/30 [00:04<02:16, 4.72s/it]\n 3%|▎ | 1/30 [00:04<02:18, 4.78s/it]\n7%|▋ | 2/30 [00:09<02:12, 4.74s/it]\n7%|▋ | 2/30 [00:09<02:12, 4.74s/it]\n7%|▋ | 2/30 [00:09<02:12, 4.73s/it]\n7%|▋ | 2/30 [00:09<02:12, 4.74s/it]\n7%|▋ | 2/30 [00:09<02:12, 4.74s/it]\n 7%|▋ | 2/30 [00:09<02:12, 4.75s/it]\n 7%|▋ | 2/30 [00:09<02:12, 4.73s/it]\n 7%|▋ | 2/30 [00:09<02:12, 4.75s/it]\n10%|█ | 3/30 [00:14<02:07, 4.74s/it]\n10%|█ | 3/30 [00:14<02:07, 4.74s/it]\n10%|█ | 3/30 [00:14<02:07, 4.73s/it]\n10%|█ | 3/30 [00:14<02:07, 4.74s/it]\n10%|█ | 3/30 [00:14<02:07, 4.74s/it]\n 10%|█ | 3/30 [00:14<02:08, 4.74s/it]\n 10%|█ | 3/30 [00:14<02:07, 4.73s/it]\n 10%|█ | 3/30 [00:14<02:08, 4.74s/it]\n13%|█▎ | 4/30 [00:18<02:03, 4.73s/it]\n13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n 13%|█▎ | 4/30 [00:18<02:03, 4.73s/it]\n 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.74s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n17%|█▋ | 5/30 [00:23<01:58, 4.74s/it]\n 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n 20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n 20%|██ | 6/30 [00:28<01:53, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it]\n27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n 30%|███ | 9/30 [00:42<01:39, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n 40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n 40%|████ | 12/30 [00:56<01:25, 4.75s/it]\n43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n 50%|█████ | 15/30 [01:11<01:11, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n 60%|██████ | 18/30 [01:25<00:57, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n 70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n 70%|███████ | 21/30 [01:39<00:42, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n 80%|████████ | 24/30 [01:53<00:28, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.74s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.74s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.74s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.74s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\nTime elapsed: 152.05s\nSaving generated video to output.mp4", "metrics": { "predict_time": 153.21242145, "total_time": 153.220044 }, "output": "https://replicate.delivery/xezq/RVJocML5peQVQ6OsOtrgN1wu5hqgsZgFuTNCRE1Y5fA1WkTUA/output.mp4", "started_at": "2025-02-27T16:30:19.821623Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-uglelu652mh3kh6dw7uok2apee7775jlhbowm67rlxzlcmekqd6q", "get": "https://api.replicate.com/v1/predictions/t6mwc6x4msrm80cn90z8s52nac", "cancel": "https://api.replicate.com/v1/predictions/t6mwc6x4msrm80cn90z8s52nac/cancel" }, "version": "hidden" }Generated inUsing seed: 740508834 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:17, 4.75s/it] 3%|▎ | 1/30 [00:04<02:17, 4.73s/it] 3%|▎ | 1/30 [00:04<02:17, 4.76s/it] 3%|▎ | 1/30 [00:04<02:18, 4.76s/it] 3%|▎ | 1/30 [00:04<02:17, 4.75s/it] 3%|▎ | 1/30 [00:04<02:18, 4.77s/it] 3%|▎ | 1/30 [00:04<02:16, 4.72s/it] 3%|▎ | 1/30 [00:04<02:18, 4.78s/it] 7%|▋ | 2/30 [00:09<02:12, 4.74s/it] 7%|▋ | 2/30 [00:09<02:12, 4.74s/it] 7%|▋ | 2/30 [00:09<02:12, 4.73s/it] 7%|▋ | 2/30 [00:09<02:12, 4.74s/it] 7%|▋ | 2/30 [00:09<02:12, 4.74s/it] 7%|▋ | 2/30 [00:09<02:12, 4.75s/it] 7%|▋ | 2/30 [00:09<02:12, 4.73s/it] 7%|▋ | 2/30 [00:09<02:12, 4.75s/it] 10%|█ | 3/30 [00:14<02:07, 4.74s/it] 10%|█ | 3/30 [00:14<02:07, 4.74s/it] 10%|█ | 3/30 [00:14<02:07, 4.73s/it] 10%|█ | 3/30 [00:14<02:07, 4.74s/it] 10%|█ | 3/30 [00:14<02:07, 4.74s/it] 10%|█ | 3/30 [00:14<02:08, 4.74s/it] 10%|█ | 3/30 [00:14<02:07, 4.73s/it] 10%|█ | 3/30 [00:14<02:08, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.73s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.73s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 13%|█▎ | 4/30 [00:18<02:03, 4.74s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.74s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.74s/it] 17%|█▋ | 5/30 [00:23<01:58, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 20%|██ | 6/30 [00:28<01:53, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 23%|██▎ | 7/30 [00:33<01:48, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 27%|██▋ | 8/30 [00:37<01:44, 4.73s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 30%|███ | 9/30 [00:42<01:39, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 33%|███▎ | 10/30 [00:47<01:34, 4.74s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 37%|███▋ | 11/30 [00:52<01:30, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 40%|████ | 12/30 [00:56<01:25, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 43%|████▎ | 13/30 [01:01<01:20, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 47%|████▋ | 14/30 [01:06<01:15, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 50%|█████ | 15/30 [01:11<01:11, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 53%|█████▎ | 16/30 [01:15<01:06, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 57%|█████▋ | 17/30 [01:20<01:01, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 60%|██████ | 18/30 [01:25<00:57, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 63%|██████▎ | 19/30 [01:30<00:52, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 67%|██████▋ | 20/30 [01:34<00:47, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 70%|███████ | 21/30 [01:39<00:42, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 73%|███████▎ | 22/30 [01:44<00:37, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 77%|███████▋ | 23/30 [01:49<00:33, 4.75s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 80%|████████ | 24/30 [01:53<00:28, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 83%|████████▎ | 25/30 [01:58<00:23, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 87%|████████▋ | 26/30 [02:03<00:18, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 90%|█████████ | 27/30 [02:08<00:14, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 93%|█████████▎| 28/30 [02:12<00:09, 4.74s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 97%|█████████▋| 29/30 [02:17<00:04, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.74s/it] 100%|██████████| 30/30 [02:22<00:00, 4.74s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.74s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] 100%|██████████| 30/30 [02:22<00:00, 4.74s/it] 100%|██████████| 30/30 [02:22<00:00, 4.75s/it] Time elapsed: 152.05s Saving generated video to output.mp4Prediction
wavespeedai/wan-2.1-i2v-720pOfficial modelID72adbax86srmc0cn914t6cyqn8StatusSucceededSourceWebTotal durationCreatedInput
- image
- prompt
- a fire rages in an apartment
- max_area
- 1280x720
- num_frames
- 81
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "image": "https://replicate.delivery/pbxt/MZaaEBkCFWggU7M2ieyaqoecWhL41ijxcnLNMfFIu7SlSn2h/ytvwvdg181rme0cmyngbdf0na0.png", "prompt": "a fire rages in an apartment", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { image: "https://replicate.delivery/pbxt/MZaaEBkCFWggU7M2ieyaqoecWhL41ijxcnLNMfFIu7SlSn2h/ytvwvdg181rme0cmyngbdf0na0.png", prompt: "a fire rages in an apartment", max_area: "1280x720", num_frames: 81, sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 }; const output = await replicate.run("wavespeedai/wan-2.1-i2v-720p", { input }); // 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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wavespeedai/wan-2.1-i2v-720p", input={ "image": "https://replicate.delivery/pbxt/MZaaEBkCFWggU7M2ieyaqoecWhL41ijxcnLNMfFIu7SlSn2h/ytvwvdg181rme0cmyngbdf0na0.png", "prompt": "a fire rages in an apartment", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run wavespeedai/wan-2.1-i2v-720p 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 $'{ "input": { "image": "https://replicate.delivery/pbxt/MZaaEBkCFWggU7M2ieyaqoecWhL41ijxcnLNMfFIu7SlSn2h/ytvwvdg181rme0cmyngbdf0na0.png", "prompt": "a fire rages in an apartment", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-i2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-27T16:44:59.432859Z", "created_at": "2025-02-27T16:42:21.622000Z", "data_removed": false, "error": null, "id": "72adbax86srmc0cn914t6cyqn8", "input": { "image": "https://replicate.delivery/pbxt/MZaaEBkCFWggU7M2ieyaqoecWhL41ijxcnLNMfFIu7SlSn2h/ytvwvdg181rme0cmyngbdf0na0.png", "prompt": "a fire rages in an apartment", "max_area": "1280x720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Using seed: 1449537774\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n3%|▎ | 1/30 [00:04<02:20, 4.84s/it]\n3%|▎ | 1/30 [00:04<02:21, 4.89s/it]\n3%|▎ | 1/30 [00:04<02:20, 4.86s/it]\n3%|▎ | 1/30 [00:04<02:21, 4.86s/it]\n3%|▎ | 1/30 [00:04<02:21, 4.87s/it]\n3%|▎ | 1/30 [00:04<02:21, 4.88s/it]\n 3%|▎ | 1/30 [00:04<02:20, 4.85s/it]\n 3%|▎ | 1/30 [00:04<02:20, 4.84s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.85s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.85s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.85s/it]\n7%|▋ | 2/30 [00:09<02:16, 4.86s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.85s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.84s/it]\n7%|▋ | 2/30 [00:09<02:15, 4.84s/it]\n 7%|▋ | 2/30 [00:09<02:15, 4.84s/it]\n10%|█ | 3/30 [00:14<02:10, 4.85s/it]\n10%|█ | 3/30 [00:14<02:10, 4.85s/it]\n10%|█ | 3/30 [00:14<02:10, 4.84s/it]\n10%|█ | 3/30 [00:14<02:11, 4.85s/it]\n10%|█ | 3/30 [00:14<02:10, 4.85s/it]\n10%|█ | 3/30 [00:14<02:10, 4.85s/it]\n 10%|█ | 3/30 [00:14<02:10, 4.84s/it]\n 10%|█ | 3/30 [00:14<02:10, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n13%|█▎ | 4/30 [00:19<02:05, 4.85s/it]\n 13%|█▎ | 4/30 [00:19<02:06, 4.85s/it]\n 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.85s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n 20%|██ | 6/30 [00:29<01:56, 4.84s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n 30%|███ | 9/30 [00:43<01:42, 4.86s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.87s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.86s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.87s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.86s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.87s/it]\n33%|███▎ | 10/30 [00:48<01:37, 4.86s/it]\n 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it]\n 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n 40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n 40%|████ | 12/30 [00:58<01:27, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it]\n50%|█████ | 15/30 [01:12<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:12<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:13<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:13<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:13<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:13<01:13, 4.89s/it]\n50%|█████ | 15/30 [01:13<01:13, 4.89s/it]\n 50%|█████ | 15/30 [01:12<01:13, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n 60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n 60%|██████ | 18/30 [01:27<00:58, 4.90s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.90s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.89s/it]\n70%|███████ | 21/30 [01:42<00:44, 4.90s/it]\n 70%|███████ | 21/30 [01:42<00:44, 4.90s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n 80%|████████ | 24/30 [01:57<00:29, 4.89s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.90s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\n100%|██████████| 30/30 [02:26<00:00, 4.88s/it]\nTime elapsed: 156.36s\nSaving generated video to output.mp4", "metrics": { "predict_time": 157.793896802, "total_time": 157.810859 }, "output": "https://replicate.delivery/xezq/XcG7ZekpBCSzaiVK0GMPxZP1fD7NE52sZaf0fqDG4VGtISORB/output.mp4", "started_at": "2025-02-27T16:42:21.638962Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dn34xvf3hkinyxsnhg6jlngmaxcki6o75mveujzynbcc7bxm2aaa", "get": "https://api.replicate.com/v1/predictions/72adbax86srmc0cn914t6cyqn8", "cancel": "https://api.replicate.com/v1/predictions/72adbax86srmc0cn914t6cyqn8/cancel" }, "version": "hidden" }Generated inUsing seed: 1449537774 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:20, 4.84s/it] 3%|▎ | 1/30 [00:04<02:21, 4.89s/it] 3%|▎ | 1/30 [00:04<02:20, 4.86s/it] 3%|▎ | 1/30 [00:04<02:21, 4.86s/it] 3%|▎ | 1/30 [00:04<02:21, 4.87s/it] 3%|▎ | 1/30 [00:04<02:21, 4.88s/it] 3%|▎ | 1/30 [00:04<02:20, 4.85s/it] 3%|▎ | 1/30 [00:04<02:20, 4.84s/it] 7%|▋ | 2/30 [00:09<02:15, 4.85s/it] 7%|▋ | 2/30 [00:09<02:15, 4.85s/it] 7%|▋ | 2/30 [00:09<02:15, 4.85s/it] 7%|▋ | 2/30 [00:09<02:16, 4.86s/it] 7%|▋ | 2/30 [00:09<02:15, 4.85s/it] 7%|▋ | 2/30 [00:09<02:15, 4.84s/it] 7%|▋ | 2/30 [00:09<02:15, 4.84s/it] 7%|▋ | 2/30 [00:09<02:15, 4.84s/it] 10%|█ | 3/30 [00:14<02:10, 4.85s/it] 10%|█ | 3/30 [00:14<02:10, 4.85s/it] 10%|█ | 3/30 [00:14<02:10, 4.84s/it] 10%|█ | 3/30 [00:14<02:11, 4.85s/it] 10%|█ | 3/30 [00:14<02:10, 4.85s/it] 10%|█ | 3/30 [00:14<02:10, 4.85s/it] 10%|█ | 3/30 [00:14<02:10, 4.84s/it] 10%|█ | 3/30 [00:14<02:10, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.85s/it] 13%|█▎ | 4/30 [00:19<02:06, 4.85s/it] 13%|█▎ | 4/30 [00:19<02:05, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.85s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 17%|█▋ | 5/30 [00:24<02:01, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 20%|██ | 6/30 [00:29<01:56, 4.84s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 23%|██▎ | 7/30 [00:33<01:51, 4.85s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 27%|██▋ | 8/30 [00:38<01:46, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 30%|███ | 9/30 [00:43<01:42, 4.86s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.87s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.87s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.87s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it] 33%|███▎ | 10/30 [00:48<01:37, 4.86s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 37%|███▋ | 11/30 [00:53<01:32, 4.87s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 40%|████ | 12/30 [00:58<01:27, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 43%|████▎ | 13/30 [01:03<01:23, 4.88s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 47%|████▋ | 14/30 [01:08<01:18, 4.89s/it] 50%|█████ | 15/30 [01:12<01:13, 4.89s/it] 50%|█████ | 15/30 [01:12<01:13, 4.89s/it] 50%|█████ | 15/30 [01:13<01:13, 4.89s/it] 50%|█████ | 15/30 [01:13<01:13, 4.89s/it] 50%|█████ | 15/30 [01:13<01:13, 4.89s/it] 50%|█████ | 15/30 [01:13<01:13, 4.89s/it] 50%|█████ | 15/30 [01:13<01:13, 4.89s/it] 50%|█████ | 15/30 [01:12<01:13, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 53%|█████▎ | 16/30 [01:17<01:08, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 57%|█████▋ | 17/30 [01:22<01:03, 4.89s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 60%|██████ | 18/30 [01:27<00:58, 4.90s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 63%|██████▎ | 19/30 [01:32<00:53, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 67%|██████▋ | 20/30 [01:37<00:48, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.90s/it] 70%|███████ | 21/30 [01:42<00:44, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.89s/it] 70%|███████ | 21/30 [01:42<00:44, 4.90s/it] 70%|███████ | 21/30 [01:42<00:44, 4.90s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 73%|███████▎ | 22/30 [01:47<00:39, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 77%|███████▋ | 23/30 [01:52<00:34, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 80%|████████ | 24/30 [01:57<00:29, 4.89s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 83%|████████▎ | 25/30 [02:01<00:24, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 87%|████████▋ | 26/30 [02:06<00:19, 4.90s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 90%|█████████ | 27/30 [02:11<00:14, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 93%|█████████▎| 28/30 [02:16<00:09, 4.89s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 97%|█████████▋| 29/30 [02:21<00:04, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.90s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] 100%|██████████| 30/30 [02:26<00:00, 4.88s/it] Time elapsed: 156.36s Saving generated video to output.mp4Prediction
wavespeedai/wan-2.1-i2v-720pOfficial modelIDrf37dbja89rme0cnbessf8n4smStatusSucceededSourceWebTotal durationCreatedInput
- image
- prompt
- A warrior swings her swords in preparation for battle
- max_area
- 720x1280
- fast_mode
- Balanced
- num_frames
- 81
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "image": "https://replicate.delivery/pbxt/MZaQKJ2pmyS4uQojMWk05hZd6N6tnJHVLvVFbDofTCjOEBku/9tynyd7pk5rme0cmzabr7rhaym.png", "prompt": "A warrior swings her swords in preparation for battle", "max_area": "720x1280", "fast_mode": "Balanced", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { image: "https://replicate.delivery/pbxt/MZaQKJ2pmyS4uQojMWk05hZd6N6tnJHVLvVFbDofTCjOEBku/9tynyd7pk5rme0cmzabr7rhaym.png", prompt: "A warrior swings her swords in preparation for battle", max_area: "720x1280", fast_mode: "Balanced", num_frames: 81, sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 }; const output = await replicate.run("wavespeedai/wan-2.1-i2v-720p", { input }); // 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 wavespeedai/wan-2.1-i2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wavespeedai/wan-2.1-i2v-720p", input={ "image": "https://replicate.delivery/pbxt/MZaQKJ2pmyS4uQojMWk05hZd6N6tnJHVLvVFbDofTCjOEBku/9tynyd7pk5rme0cmzabr7rhaym.png", "prompt": "A warrior swings her swords in preparation for battle", "max_area": "720x1280", "fast_mode": "Balanced", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run wavespeedai/wan-2.1-i2v-720p 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 $'{ "input": { "image": "https://replicate.delivery/pbxt/MZaQKJ2pmyS4uQojMWk05hZd6N6tnJHVLvVFbDofTCjOEBku/9tynyd7pk5rme0cmzabr7rhaym.png", "prompt": "A warrior swings her swords in preparation for battle", "max_area": "720x1280", "fast_mode": "Balanced", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-i2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-03T11:12:23Z", "created_at": "2025-03-03T11:10:31.490000Z", "data_removed": false, "error": "", "id": "rf37dbja89rme0cnbessf8n4sm", "input": { "image": "https://replicate.delivery/pbxt/MZaQKJ2pmyS4uQojMWk05hZd6N6tnJHVLvVFbDofTCjOEBku/9tynyd7pk5rme0cmzabr7rhaym.png", "prompt": "A warrior swings her swords in preparation for battle", "max_area": "720x1280", "fast_mode": "Balanced", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Moderating content...\r\nImage size: 15.2KB\r\nModeration complete in 0.56sec\r\nFlagged categories: violence\r\nUsing seed: 1373041993\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n 0%| | 0/30 [00:00<?, ?it/s]\r\n3%|▎ | 1/30 [00:05<02:25, 5.01s/it]\r\n3%|▎ | 1/30 [00:05<02:26, 5.04s/it]\r\n3%|▎ | 1/30 [00:05<02:27, 5.08s/it]\r\n3%|▎ | 1/30 [00:05<02:26, 5.06s/it]\r\n3%|▎ | 1/30 [00:05<02:25, 5.02s/it]\r\n3%|▎ | 1/30 [00:05<02:25, 5.01s/it]\r\n3%|▎ | 1/30 [00:05<02:25, 5.02s/it]\r\n 3%|▎ | 1/30 [00:05<02:25, 5.01s/it]\r\n7%|▋ | 2/30 [00:10<02:21, 5.05s/it]\r\n7%|▋ | 2/30 [00:10<02:20, 5.03s/it]\r\n7%|▋ | 2/30 [00:10<02:20, 5.02s/it]\r\n7%|▋ | 2/30 [00:10<02:20, 5.02s/it]\r\n7%|▋ | 2/30 [00:10<02:20, 5.02s/it]\r\n7%|▋ | 2/30 [00:10<02:20, 5.02s/it]\r\n7%|▋ | 2/30 [00:10<02:21, 5.04s/it]\r\n 7%|▋ | 2/30 [00:10<02:20, 5.02s/it]\r\n10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n10%|█ | 3/30 [00:15<02:16, 5.04s/it]\r\n10%|█ | 3/30 [00:15<02:16, 5.04s/it]\r\n10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n 10%|█ | 3/30 [00:15<02:15, 5.03s/it]\r\n13%|█▎ | 4/30 [00:20<02:11, 5.04s/it]\r\n13%|█▎ | 4/30 [00:20<02:10, 5.03s/it]\r\n13%|█▎ | 4/30 [00:20<02:10, 5.03s/it]\r\n13%|█▎ | 4/30 [00:20<02:10, 5.03s/it]\r\n13%|█▎ | 4/30 [00:20<02:10, 5.03s/it]\r\n 13%|█▎ | 4/30 [00:20<02:11, 5.04s/it]\r\n13%|█▎ | 4/30 [00:20<02:10, 5.04s/it]\r\n 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it]\r\n17%|█▋ | 5/30 [00:25<02:06, 5.05s/it]\r\n17%|█▋ | 5/30 [00:25<02:05, 5.04s/it]\r\n17%|█▋ | 5/30 [00:25<02:05, 5.04s/it]\r\n17%|█▋ | 5/30 [00:25<02:06, 5.04s/it]\r\n17%|█▋ | 5/30 [00:25<02:06, 5.04s/it]\r\n17%|█▋ | 5/30 [00:25<02:05, 5.04s/it]\r\n17%|█▋ | 5/30 [00:25<02:06, 5.04s/it]\r\n 17%|█▋ | 5/30 [00:25<02:06, 5.04s/it]\r\n20%|██ | 6/30 [00:25<01:20, 3.37s/it]\r\n20%|██ | 6/30 [00:25<01:20, 3.37s/it]\r\n20%|██ | 6/30 [00:25<01:20, 3.37s/it]\r\n20%|██ | 6/30 [00:25<01:21, 3.38s/it]\r\n20%|██ | 6/30 [00:25<01:21, 3.38s/it]\r\n20%|██ | 6/30 [00:25<01:20, 3.37s/it]\r\n20%|██ | 6/30 [00:25<01:20, 3.37s/it]\r\n 20%|██ | 6/30 [00:25<01:21, 3.38s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.93s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.93s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n 30%|███ | 9/30 [00:35<01:12, 3.45s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n 40%|████ | 12/30 [00:40<00:41, 2.29s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:46<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n 50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n 50%|█████ | 15/30 [00:51<00:46, 3.08s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n 60%|██████ | 18/30 [00:56<00:26, 2.18s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n 70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n 70%|███████ | 21/30 [01:06<00:27, 3.04s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n 80%|████████ | 24/30 [01:12<00:12, 2.17s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.42s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 4.71s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\n100%|██████████| 30/30 [01:42<00:00, 3.41s/it]\r\nTime elapsed: 110.38s\r\nSaving generated video to output.mp4", "metrics": { "predict_time": 112.186248649, "total_time": 111.51 }, "output": "https://replicate.delivery/xezq/O1nQl9BQ6uZoAFI7gTT40OJhjbvwWhKiDJR9Y9VJC2xlANFF/output.mp4", "started_at": "2025-03-03T11:10:31Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-emccfffaggqa2ycal5gh7nofu7z7dtkb2vdqhy23i7ceeur4bzvq", "get": "https://api.replicate.com/v1/predictions/rf37dbja89rme0cnbessf8n4sm", "cancel": "https://api.replicate.com/v1/predictions/rf37dbja89rme0cnbessf8n4sm/cancel" }, "version": "hidden" }Generated inModerating content... Image size: 15.2KB Moderation complete in 0.56sec Flagged categories: violence Using seed: 1373041993 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:05<02:25, 5.01s/it] 3%|▎ | 1/30 [00:05<02:26, 5.04s/it] 3%|▎ | 1/30 [00:05<02:27, 5.08s/it] 3%|▎ | 1/30 [00:05<02:26, 5.06s/it] 3%|▎ | 1/30 [00:05<02:25, 5.02s/it] 3%|▎ | 1/30 [00:05<02:25, 5.01s/it] 3%|▎ | 1/30 [00:05<02:25, 5.02s/it] 3%|▎ | 1/30 [00:05<02:25, 5.01s/it] 7%|▋ | 2/30 [00:10<02:21, 5.05s/it] 7%|▋ | 2/30 [00:10<02:20, 5.03s/it] 7%|▋ | 2/30 [00:10<02:20, 5.02s/it] 7%|▋ | 2/30 [00:10<02:20, 5.02s/it] 7%|▋ | 2/30 [00:10<02:20, 5.02s/it] 7%|▋ | 2/30 [00:10<02:20, 5.02s/it] 7%|▋ | 2/30 [00:10<02:21, 5.04s/it] 7%|▋ | 2/30 [00:10<02:20, 5.02s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 10%|█ | 3/30 [00:15<02:16, 5.04s/it] 10%|█ | 3/30 [00:15<02:16, 5.04s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 10%|█ | 3/30 [00:15<02:15, 5.03s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.04s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it] 13%|█▎ | 4/30 [00:20<02:11, 5.04s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.04s/it] 13%|█▎ | 4/30 [00:20<02:10, 5.03s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.05s/it] 17%|█▋ | 5/30 [00:25<02:05, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:05, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:05, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.04s/it] 17%|█▋ | 5/30 [00:25<02:06, 5.04s/it] 20%|██ | 6/30 [00:25<01:20, 3.37s/it] 20%|██ | 6/30 [00:25<01:20, 3.37s/it] 20%|██ | 6/30 [00:25<01:20, 3.37s/it] 20%|██ | 6/30 [00:25<01:21, 3.38s/it] 20%|██ | 6/30 [00:25<01:21, 3.38s/it] 20%|██ | 6/30 [00:25<01:20, 3.37s/it] 20%|██ | 6/30 [00:25<01:20, 3.37s/it] 20%|██ | 6/30 [00:25<01:21, 3.38s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.93s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.93s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 23%|██▎ | 7/30 [00:30<01:30, 3.92s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 27%|██▋ | 8/30 [00:30<00:59, 2.72s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 30%|███ | 9/30 [00:35<01:12, 3.45s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 33%|███▎ | 10/30 [00:35<00:48, 2.43s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 37%|███▋ | 11/30 [00:40<01:01, 3.23s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 40%|████ | 12/30 [00:40<00:41, 2.29s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:46<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 43%|████▎ | 13/30 [00:45<00:53, 3.13s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 47%|████▋ | 14/30 [00:46<00:35, 2.23s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 53%|█████▎ | 16/30 [00:51<00:30, 2.19s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 57%|█████▋ | 17/30 [00:56<00:39, 3.05s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 60%|██████ | 18/30 [00:56<00:26, 2.18s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 63%|██████▎ | 19/30 [01:01<00:33, 3.04s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 67%|██████▋ | 20/30 [01:01<00:21, 2.17s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 70%|███████ | 21/30 [01:06<00:27, 3.04s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 73%|███████▎ | 22/30 [01:06<00:17, 2.17s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 77%|███████▋ | 23/30 [01:11<00:21, 3.03s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 80%|████████ | 24/30 [01:12<00:12, 2.17s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 83%|████████▎ | 25/30 [01:17<00:15, 3.03s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 87%|████████▋ | 26/30 [01:22<00:14, 3.64s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 90%|█████████ | 27/30 [01:27<00:12, 4.07s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 93%|█████████▎| 28/30 [01:32<00:08, 4.36s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 97%|█████████▋| 29/30 [01:37<00:04, 4.57s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 3.42s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 4.71s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] 100%|██████████| 30/30 [01:42<00:00, 3.41s/it] Time elapsed: 110.38s Saving generated video to output.mp4
Want to make some of these yourself?
Run this model