wavespeedai
/
wan-2.1-t2v-720p
Accelerated inference for Wan 2.1 14B text 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-t2v-720pOfficial modelIDvh2hjjsdxxrm80cn8hfb7pwgtmStatusSucceededSourceWebTotal durationCreatedInput
- prompt
- Low drone footage over a bustling Tuscan town square, people laughing, dogs running around
- num_frames
- 81
- aspect_ratio
- 16:9
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "prompt": "Low drone footage over a bustling Tuscan town square, people laughing, dogs running around", "num_frames": 81, "aspect_ratio": "16:9", "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-t2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { prompt: "Low drone footage over a bustling Tuscan town square, people laughing, dogs running around", num_frames: 81, aspect_ratio: "16:9", sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 }; const output = await replicate.run("wavespeedai/wan-2.1-t2v-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-t2v-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-t2v-720p", input={ "prompt": "Low drone footage over a bustling Tuscan town square, people laughing, dogs running around", "num_frames": 81, "aspect_ratio": "16:9", "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-t2v-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": { "prompt": "Low drone footage over a bustling Tuscan town square, people laughing, dogs running around", "num_frames": 81, "aspect_ratio": "16:9", "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-t2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-26T22:28:46.773895Z", "created_at": "2025-02-26T22:26:17.711000Z", "data_removed": false, "error": null, "id": "vh2hjjsdxxrm80cn8hfb7pwgtm", "input": { "prompt": "Low drone footage over a bustling Tuscan town square, people laughing, dogs running around", "num_frames": 81, "aspect_ratio": "16:9", "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Using seed: 780119857\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync():\n/src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. 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[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, 4.74s/it]\n100%|██████████| 30/30 [02:22<00:00, 4.75s/it]\nTime elapsed: 147.41s\nSaving generated video to output.mp4\n/root/.pyenv/versions/3.12.6/lib/python3.12/site-packages/cog/server/scope.py:22: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning.\nwarnings.warn(", "metrics": { "predict_time": 149.031784017, "total_time": 149.062895 }, "output": "https://replicate.delivery/xezq/VxUDLA2JpHJHDlKX5b0ybt9Hm1MfICg3NBhfjwsVfbw88omoA/output.mp4", "started_at": "2025-02-26T22:26:17.742111Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-wjs4rfyv7vyhulv5mct3ipeu2feu2n3out4c7uexjqashaydtcga", "get": "https://api.replicate.com/v1/predictions/vh2hjjsdxxrm80cn8hfb7pwgtm", "cancel": "https://api.replicate.com/v1/predictions/vh2hjjsdxxrm80cn8hfb7pwgtm/cancel" }, "version": "hidden" }Generated inUsing seed: 780119857 /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): /src/wan/text2video.py:198: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.param_dtype), torch.no_grad(), no_sync(): 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<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 3%|▎ | 1/30 [00:04<02:15, 4.67s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 7%|▋ | 2/30 [00:09<02:11, 4.70s/it] 10%|█ | 3/30 [00:14<02:09, 4.80s/it] 10%|█ | 3/30 [00:14<02:09, 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/root/.pyenv/versions/3.12.6/lib/python3.12/site-packages/cog/server/scope.py:22: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning. warnings.warn(Prediction
wavespeedai/wan-2.1-t2v-720pOfficial modelID4ejyf2c7znrme0cnbesvw9c8v0StatusSucceededSourceWebTotal durationCreatedInput
- prompt
- A smiling woman walking in London at night
- fast_mode
- Balanced
- num_frames
- 81
- aspect_ratio
- 16:9
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "prompt": "A smiling woman walking in London at night", "fast_mode": "Balanced", "num_frames": 81, "aspect_ratio": "16:9", "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-t2v-720p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { prompt: "A smiling woman walking in London at night", fast_mode: "Balanced", num_frames: 81, aspect_ratio: "16:9", sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 }; const output = await replicate.run("wavespeedai/wan-2.1-t2v-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-t2v-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-t2v-720p", input={ "prompt": "A smiling woman walking in London at night", "fast_mode": "Balanced", "num_frames": 81, "aspect_ratio": "16:9", "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-t2v-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": { "prompt": "A smiling woman walking in London at night", "fast_mode": "Balanced", "num_frames": 81, "aspect_ratio": "16:9", "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/models/wavespeedai/wan-2.1-t2v-720p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-03T11:12:32Z", "created_at": "2025-03-03T11:10:47.293000Z", "data_removed": false, "error": "", "id": "4ejyf2c7znrme0cnbesvw9c8v0", "input": { "prompt": "A smiling woman walking in London at night", "fast_mode": "Balanced", "num_frames": 81, "aspect_ratio": "16:9", "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Moderating content...\r\nModeration complete in 0.19sec\r\nUsing seed: 1904148191\r\n0%| | 0/30 [00:00<?, ?it/s]\r\n0%| | 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\n0%| | 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 [00:04<02:14, 4.64s/it]\r\n3%|▎ | 1/30 [00:04<02:14, 4.64s/it]\r\n3%|▎ | 1/30 [00:04<02:14, 4.64s/it]\r\n3%|▎ | 1/30 [00:04<02:14, 4.64s/it]\r\n3%|▎ | 1/30 [00:04<02:14, 4.64s/it]\r\n3%|▎ | 1/30 [00:04<02:14, 4.64s/it]\r\n 3%|▎ | 1/30 [00:04<02:14, 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3.33s/it]\r\n100%|██████████| 30/30 [01:39<00:00, 3.33s/it]\r\nTime elapsed: 103.80s\r\nSaving generated video to output.mp4", "metrics": { "predict_time": 105.444627322, "total_time": 104.707 }, "output": "https://replicate.delivery/xezq/0nyHDVe6ZkzsMKgc9ftDGHmpf0SfmrBg3jgkLg79IZCAKQTRB/output.mp4", "started_at": "2025-03-03T11:10:47Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-e3gruj4rxq3n5atcruss4bj2oeeqiuix4oyjnzsdx3qzs7wi5mva", "get": "https://api.replicate.com/v1/predictions/4ejyf2c7znrme0cnbesvw9c8v0", "cancel": "https://api.replicate.com/v1/predictions/4ejyf2c7znrme0cnbesvw9c8v0/cancel" }, "version": "hidden" }Generated inModerating content... 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