jichengdu
/
wan-i2v
i2v-14B-720p-2.1
Prediction
jichengdu/wan-i2v:d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782eIDq8ztkpc3gxrj20cnmbrtye6s9rStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- image
- prompt
- Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.
- max_area
- 1280*720
- num_frames
- 81
- sample_shift
- 5
- sample_steps
- 30
- frames_per_second
- 16
- sample_guide_scale
- 5
{ "image": "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG", "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", "max_area": "1280*720", "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 jichengdu/wan-i2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jichengdu/wan-i2v:d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782e", { input: { image: "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG", prompt: "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", max_area: "1280*720", num_frames: 81, sample_shift: 5, sample_steps: 30, frames_per_second: 16, sample_guide_scale: 5 } } ); // 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 jichengdu/wan-i2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jichengdu/wan-i2v:d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782e", input={ "image": "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG", "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", "max_area": "1280*720", "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 jichengdu/wan-i2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782e", "input": { "image": "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG", "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline\'s intricate details and the refreshing atmosphere of the seaside.", "max_area": "1280*720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-17T07:57:48.847319Z", "created_at": "2025-03-17T07:11:31.719000Z", "data_removed": false, "error": null, "id": "q8ztkpc3gxrj20cnmbrtye6s9r", "input": { "image": "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG", "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.", "max_area": "1280*720", "num_frames": 81, "sample_shift": 5, "sample_steps": 30, "frames_per_second": 16, "sample_guide_scale": 5 }, "logs": "输入图像尺寸: 832x1104\n使用随机种子: 2082605660\n开始生成视频...\n参数: 提示词长度=496, 最大面积=1280*720, 帧数=81\n采样步数=30, 引导尺度=5.0, 偏移因子=5.0\n/src/wan/modules/clip.py:540: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith torch.cuda.amp.autocast(dtype=self.dtype):\n/src/wan/modules/vae.py:651: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.dtype):\n/src/wan/image2video.py:255: 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 0%| | 0/30 [00:00<?, ?it/s]/src/wan/modules/model.py:535: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=torch.float32):\n/src/wan/modules/model.py:293: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=torch.float32):\n/src/wan/modules/model.py:301: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=torch.float32):\n/src/wan/modules/model.py:308: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=torch.float32):\n/src/wan/modules/model.py:340: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=torch.float32):\n 3%|▎ | 1/30 [01:06<32:16, 66.77s/it]\n 7%|▋ | 2/30 [02:14<31:19, 67.11s/it]\n 10%|█ | 3/30 [03:21<30:15, 67.25s/it]\n 13%|█▎ | 4/30 [04:29<29:10, 67.34s/it]\n 17%|█▋ | 5/30 [05:36<28:03, 67.35s/it]\n 20%|██ | 6/30 [06:43<26:57, 67.38s/it]\n 23%|██▎ | 7/30 [07:51<25:49, 67.39s/it]\n 27%|██▋ | 8/30 [08:58<24:42, 67.38s/it]\n 30%|███ | 9/30 [10:06<23:35, 67.40s/it]\n 33%|███▎ | 10/30 [11:13<22:27, 67.40s/it]\n 37%|███▋ | 11/30 [12:20<21:20, 67.39s/it]\n 40%|████ | 12/30 [13:28<20:12, 67.37s/it]\n 43%|████▎ | 13/30 [14:35<19:05, 67.36s/it]\n 47%|████▋ | 14/30 [15:42<17:57, 67.34s/it]\n 50%|█████ | 15/30 [16:50<16:50, 67.35s/it]\n 53%|█████▎ | 16/30 [17:57<15:42, 67.34s/it]\n 57%|█████▋ | 17/30 [19:04<14:35, 67.33s/it]\n 60%|██████ | 18/30 [20:12<13:27, 67.33s/it]\n 63%|██████▎ | 19/30 [21:19<12:20, 67.32s/it]\n 67%|██████▋ | 20/30 [22:26<11:13, 67.31s/it]\n 70%|███████ | 21/30 [23:33<10:05, 67.31s/it]\n 73%|███████▎ | 22/30 [24:41<08:58, 67.32s/it]\n 77%|███████▋ | 23/30 [25:48<07:51, 67.32s/it]\n 80%|████████ | 24/30 [26:55<06:43, 67.33s/it]\n 83%|████████▎ | 25/30 [28:03<05:36, 67.31s/it]\n 87%|████████▋ | 26/30 [29:10<04:29, 67.30s/it]\n 90%|█████████ | 27/30 [30:17<03:21, 67.29s/it]\n 93%|█████████▎| 28/30 [31:25<02:14, 67.28s/it]\n 97%|█████████▋| 29/30 [32:32<01:07, 67.28s/it]\n100%|██████████| 30/30 [33:39<00:00, 67.27s/it]\n100%|██████████| 30/30 [33:39<00:00, 67.32s/it]\n/src/wan/modules/vae.py:658: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\nwith amp.autocast(dtype=self.dtype):\n保存视频到: output_video.mp4, 帧率: 16 fps", "metrics": { "predict_time": 2098.768213578, "total_time": 2777.128319 }, "output": "https://replicate.delivery/yhqm/2eeOEKeH0XGXdph2HTtPNWRMoD0wxvjeD4TO1ydUDQuzfDLjC/output_video.mp4", "started_at": "2025-03-17T07:22:50.079105Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-2z327spxaa2qkna2kux3fmuygsoh34xgliaz3ivwxz6dxgtpedqq", "get": "https://api.replicate.com/v1/predictions/q8ztkpc3gxrj20cnmbrtye6s9r", "cancel": "https://api.replicate.com/v1/predictions/q8ztkpc3gxrj20cnmbrtye6s9r/cancel" }, "version": "d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782e" }Generated in输入图像尺寸: 832x1104 使用随机种子: 2082605660 开始生成视频... 参数: 提示词长度=496, 最大面积=1280*720, 帧数=81 采样步数=30, 引导尺度=5.0, 偏移因子=5.0 /src/wan/modules/clip.py:540: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with torch.cuda.amp.autocast(dtype=self.dtype): /src/wan/modules/vae.py:651: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.dtype): /src/wan/image2video.py:255: 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]/src/wan/modules/model.py:535: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=torch.float32): /src/wan/modules/model.py:293: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=torch.float32): /src/wan/modules/model.py:301: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=torch.float32): /src/wan/modules/model.py:308: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=torch.float32): /src/wan/modules/model.py:340: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=torch.float32): 3%|▎ | 1/30 [01:06<32:16, 66.77s/it] 7%|▋ | 2/30 [02:14<31:19, 67.11s/it] 10%|█ | 3/30 [03:21<30:15, 67.25s/it] 13%|█▎ | 4/30 [04:29<29:10, 67.34s/it] 17%|█▋ | 5/30 [05:36<28:03, 67.35s/it] 20%|██ | 6/30 [06:43<26:57, 67.38s/it] 23%|██▎ | 7/30 [07:51<25:49, 67.39s/it] 27%|██▋ | 8/30 [08:58<24:42, 67.38s/it] 30%|███ | 9/30 [10:06<23:35, 67.40s/it] 33%|███▎ | 10/30 [11:13<22:27, 67.40s/it] 37%|███▋ | 11/30 [12:20<21:20, 67.39s/it] 40%|████ | 12/30 [13:28<20:12, 67.37s/it] 43%|████▎ | 13/30 [14:35<19:05, 67.36s/it] 47%|████▋ | 14/30 [15:42<17:57, 67.34s/it] 50%|█████ | 15/30 [16:50<16:50, 67.35s/it] 53%|█████▎ | 16/30 [17:57<15:42, 67.34s/it] 57%|█████▋ | 17/30 [19:04<14:35, 67.33s/it] 60%|██████ | 18/30 [20:12<13:27, 67.33s/it] 63%|██████▎ | 19/30 [21:19<12:20, 67.32s/it] 67%|██████▋ | 20/30 [22:26<11:13, 67.31s/it] 70%|███████ | 21/30 [23:33<10:05, 67.31s/it] 73%|███████▎ | 22/30 [24:41<08:58, 67.32s/it] 77%|███████▋ | 23/30 [25:48<07:51, 67.32s/it] 80%|████████ | 24/30 [26:55<06:43, 67.33s/it] 83%|████████▎ | 25/30 [28:03<05:36, 67.31s/it] 87%|████████▋ | 26/30 [29:10<04:29, 67.30s/it] 90%|█████████ | 27/30 [30:17<03:21, 67.29s/it] 93%|█████████▎| 28/30 [31:25<02:14, 67.28s/it] 97%|█████████▋| 29/30 [32:32<01:07, 67.28s/it] 100%|██████████| 30/30 [33:39<00:00, 67.27s/it] 100%|██████████| 30/30 [33:39<00:00, 67.32s/it] /src/wan/modules/vae.py:658: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. with amp.autocast(dtype=self.dtype): 保存视频到: output_video.mp4, 帧率: 16 fps
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