wavespeedai
/
wan-2.1-t2v-480p
Accelerated inference for Wan 2.1 14B text to video, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation.
Prediction
wavespeedai/wan-2.1-t2v-480pOfficial modelIDw6x78jsgmdrm80cn8g1bnc3g04StatusSucceededSourceWebTotal durationCreatedInput
- prompt
- An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic
- num_frames
- 81
- aspect_ratio
- 16:9
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "prompt": "An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic", "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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import 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-480p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { prompt: "An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic", 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-480p", { input }); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun wavespeedai/wan-2.1-t2v-480p 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-480p", input={ "prompt": "An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic", "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.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run wavespeedai/wan-2.1-t2v-480p 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": "An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic", "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-480p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-26T20:46:27.905401Z", "created_at": "2025-02-26T20:45:49.091000Z", "data_removed": false, "error": null, "id": "w6x78jsgmdrm80cn8g1bnc3g04", "input": { "prompt": "An astronaut dancing vigorously on the moon with earth flying past in the background, hyperrealistic", "num_frames": 81, "aspect_ratio": "16:9", "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "Using seed: 851347977\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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30/30 [00:35<00:00, 1.19s/it]\n100%|██████████| 30/30 [00:35<00:00, 1.19s/it]\n100%|██████████| 30/30 [00:35<00:00, 1.19s/it]\n100%|██████████| 30/30 [00:35<00:00, 1.19s/it]\n100%|██████████| 30/30 [00:35<00:00, 1.19s/it]\nTime elapsed: 38.04s\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": 38.802506573, "total_time": 38.814401 }, "output": "https://replicate.delivery/xezq/nhi1M7enxpSgHaj5lQfTlTlIn4fz1nmqI5wMkCmlHXyG9lmoA/output.mp4", "started_at": "2025-02-26T20:45:49.102895Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-txfb4ocdipyt4isnchrrdefygvckvzbfiqvtk2323tdgtkbtje4a", "get": "https://api.replicate.com/v1/predictions/w6x78jsgmdrm80cn8g1bnc3g04", "cancel": "https://api.replicate.com/v1/predictions/w6x78jsgmdrm80cn8g1bnc3g04/cancel" }, "version": "hidden" }Generated inUsing seed: 851347977 /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 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 7%|▋ | 2/30 [00:02<00:32, 1.18s/it] 10%|█ | 3/30 [00:03<00:34, 1.29s/it] 10%|█ | 3/30 [00:03<00:35, 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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-480pOfficial modelIDgh27r84yxdrma0cnbesbaaphr0StatusSucceededSourceWebTotal durationCreatedby @wavespeedaiInput
- prompt
- A cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins
- 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 cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins", "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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import 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-480p using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { prompt: "A cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins", 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-480p", { input }); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun wavespeedai/wan-2.1-t2v-480p 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-480p", input={ "prompt": "A cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins", "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.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run wavespeedai/wan-2.1-t2v-480p 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 cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins", "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-480p/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-03T11:10:17Z", "created_at": "2025-03-03T11:09:47.627000Z", "data_removed": false, "error": "", "id": "gh27r84yxdrma0cnbesbaaphr0", "input": { "prompt": "A cat is doing an acrobatic dive into a swimming pool at the olympics, from a 10m high diving board, flips and spins", "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 0.20sec\r\nUsing seed: 1765621119\r\n0%| | 0/30 [00:00<?, ?it/s]\r\n0%| | 0/30 [00:00<?, ?it/s]\r\n0%| | 0/30 [00:00<?, ?it/s]\r\n0%| | 0/30 [00:00<?, ?it/s]\r\n0%| | 0/30 [00:00<?, ?it/s]\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\n3%|▎ | 1/30 [00:01<00:33, 1.16s/it]\r\n3%|▎ | 1/30 [00:01<00:33, 1.16s/it]\r\n3%|▎ | 1/30 [00:01<00:33, 1.16s/it]\r\n3%|▎ | 1/30 [00:01<00:33, 1.17s/it]\r\n3%|▎ | 1/30 [00:01<00:33, 1.16s/it]\r\n3%|▎ 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1.12s/it]\r\n100%|██████████| 30/30 [00:27<00:00, 1.12s/it]\r\n100%|██████████| 30/30 [00:27<00:00, 1.12s/it]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\n100%|██████████| 30/30 [00:27<00:00, 1.12s/it]\r\n100%|██████████| 30/30 [00:27<00:00, 1.10it/s]\r\nTime elapsed: 29.23s\r\nSaving generated video to output.mp4", "metrics": { "predict_time": 30.174848852, "total_time": 29.373 }, "output": "https://replicate.delivery/xezq/1Cr8exFBJ9X5BqOvabmkoxe5eHC2FFE6GDlw8Xva064yAopoA/output.mp4", "started_at": "2025-03-03T11:09:47Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-nbjkkjkhbxljcr4b6go3wywp4udmmuizilyrobxzb3ni5zqjf3za", "get": "https://api.replicate.com/v1/predictions/gh27r84yxdrma0cnbesbaaphr0", "cancel": "https://api.replicate.com/v1/predictions/gh27r84yxdrma0cnbesbaaphr0/cancel" }, "version": "hidden" }Generated inModerating content... Moderation complete in 0.20sec Using seed: 1765621119 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 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.17s/it] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 3%|▎ | 1/30 [00:01<00:33, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 7%|▋ | 2/30 [00:02<00:32, 1.17s/it] 10%|█ | 3/30 [00:03<00:31, 1.17s/it] 10%|█ | 3/30 [00:03<00:31, 1.17s/it] 10%|█ | 3/30 [00:03<00:31, 1.17s/it] 10%|█ | 3/30 [00:03<00:31, 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100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.12s/it] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] Time elapsed: 29.23s Saving generated video to output.mp4
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