andreasjansson / wan-1.3b-inpaint
Inpainting and video2video experiments with Wan 2.1
Prediction
andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55aIDy3fa9eekthrme0cnbmvsjherc0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- -1
- prompt
- A robot walking on the street
- strength
- 0.9
- mask_video
- expand_mask
- 10
- guide_scale
- 5
- input_video
- sampling_steps
- 30
- negative_prompt
- frames_per_second
- 16
- inpaint_fixup_steps
- 0
{ "seed": -1, "prompt": "A robot walking on the street", "strength": 0.9, "mask_video": "https://replicate.delivery/xezq/N94eQyo3WBVWXyN8Aj4kpwQ42l6prb578m9tCJWaFgREnlJKA/masked_video.mp4", "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 }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 andreasjansson/wan-1.3b-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", { input: { seed: -1, prompt: "A robot walking on the street", strength: 0.9, mask_video: "https://replicate.delivery/xezq/N94eQyo3WBVWXyN8Aj4kpwQ42l6prb578m9tCJWaFgREnlJKA/masked_video.mp4", expand_mask: 10, guide_scale: 5, input_video: "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", sampling_steps: 30, negative_prompt: "", frames_per_second: 16, inpaint_fixup_steps: 0 } } ); // 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 andreasjansson/wan-1.3b-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", input={ "seed": -1, "prompt": "A robot walking on the street", "strength": 0.9, "mask_video": "https://replicate.delivery/xezq/N94eQyo3WBVWXyN8Aj4kpwQ42l6prb578m9tCJWaFgREnlJKA/masked_video.mp4", "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/wan-1.3b-inpaint 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": "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", "input": { "seed": -1, "prompt": "A robot walking on the street", "strength": 0.9, "mask_video": "https://replicate.delivery/xezq/N94eQyo3WBVWXyN8Aj4kpwQ42l6prb578m9tCJWaFgREnlJKA/masked_video.mp4", "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-03T18:21:44.942973Z", "created_at": "2025-03-03T18:14:54.676000Z", "data_removed": false, "error": null, "id": "y3fa9eekthrme0cnbmvsjherc0", "input": { "seed": -1, "prompt": "A robot walking on the street", "strength": 0.9, "mask_video": "https://replicate.delivery/xezq/N94eQyo3WBVWXyN8Aj4kpwQ42l6prb578m9tCJWaFgREnlJKA/masked_video.mp4", "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 }, "logs": "Using seed: 3692929301\nLoaded 141 frames from /tmp/tmpywa_qk39tmp2dc62s6m.output.mp4\nLoaded 141 frames from /tmp/tmpthdg8haymasked_video.mp4\n 0%| | 0/27 [00:00<?, ?it/s]\n 4%|▎ | 1/27 [00:14<06:15, 14.44s/it]\n 7%|▋ | 2/27 [00:28<06:01, 14.45s/it]\n 11%|█ | 3/27 [00:43<05:47, 14.46s/it]\n 15%|█▍ | 4/27 [00:57<05:32, 14.46s/it]\n 19%|█▊ | 5/27 [01:12<05:18, 14.46s/it]\n 22%|██▏ | 6/27 [01:26<05:03, 14.47s/it]\n 26%|██▌ | 7/27 [01:41<04:49, 14.47s/it]\n 30%|██▉ | 8/27 [01:55<04:34, 14.46s/it]\n 33%|███▎ | 9/27 [02:10<04:20, 14.47s/it]\n 37%|███▋ | 10/27 [02:24<04:05, 14.47s/it]\n 41%|████ | 11/27 [02:39<03:51, 14.47s/it]\n 44%|████▍ | 12/27 [02:53<03:37, 14.47s/it]\n 48%|████▊ | 13/27 [03:08<03:22, 14.47s/it]\n 52%|█████▏ | 14/27 [03:22<03:08, 14.47s/it]\n 56%|█████▌ | 15/27 [03:36<02:53, 14.47s/it]\n 59%|█████▉ | 16/27 [03:51<02:39, 14.47s/it]\n 63%|██████▎ | 17/27 [04:05<02:24, 14.47s/it]\n 67%|██████▋ | 18/27 [04:20<02:10, 14.47s/it]\n 70%|███████ | 19/27 [04:34<01:55, 14.47s/it]\n 74%|███████▍ | 20/27 [04:49<01:41, 14.47s/it]\n 78%|███████▊ | 21/27 [05:03<01:26, 14.47s/it]\n 81%|████████▏ | 22/27 [05:18<01:12, 14.47s/it]\n 85%|████████▌ | 23/27 [05:32<00:57, 14.46s/it]\n 89%|████████▉ | 24/27 [05:47<00:43, 14.46s/it]\n 93%|█████████▎| 25/27 [06:01<00:28, 14.46s/it]\n 96%|█████████▋| 26/27 [06:16<00:14, 14.46s/it]\n100%|██████████| 27/27 [06:30<00:00, 14.46s/it]\n100%|██████████| 27/27 [06:30<00:00, 14.46s/it]\nMoviepy - Building video output.mp4.\nMoviepy - Writing video output.mp4\nt: 0%| | 0/141 [00:00<?, ?it/s, now=None]\nt: 8%|▊ | 11/141 [00:00<00:01, 105.39it/s, now=None]\nt: 16%|█▌ | 22/141 [00:00<00:01, 104.08it/s, now=None]\nt: 23%|██▎ | 33/141 [00:00<00:01, 103.61it/s, now=None]\nt: 31%|███ | 44/141 [00:00<00:00, 103.81it/s, now=None]\nt: 39%|███▉ | 55/141 [00:00<00:00, 100.08it/s, now=None]\nt: 47%|████▋ | 66/141 [00:00<00:00, 93.21it/s, now=None] \nt: 55%|█████▍ | 77/141 [00:00<00:00, 95.89it/s, now=None]\nt: 62%|██████▏ | 87/141 [00:00<00:00, 93.66it/s, now=None]\nt: 69%|██████▉ | 97/141 [00:01<00:00, 93.10it/s, now=None]\nt: 76%|███████▌ | 107/141 [00:01<00:00, 90.07it/s, now=None]\nt: 83%|████████▎ | 117/141 [00:01<00:00, 86.44it/s, now=None]\nt: 89%|████████▉ | 126/141 [00:01<00:00, 87.00it/s, now=None]\nt: 96%|█████████▌| 135/141 [00:01<00:00, 84.94it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready output.mp4\nSaved video to output.mp4", "metrics": { "predict_time": 410.259106365, "total_time": 410.266973 }, "output": "https://replicate.delivery/xezq/KII1QARYVCaDH1ElIipMcUEa1sXNjHC43XPtqg8le1UcKdKKA/output.mp4", "started_at": "2025-03-03T18:14:54.683866Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-nkihi3yhjuukbbwr6f4aizsklcdblz54lnt65hyhyjh6hfmloglq", "get": "https://api.replicate.com/v1/predictions/y3fa9eekthrme0cnbmvsjherc0", "cancel": "https://api.replicate.com/v1/predictions/y3fa9eekthrme0cnbmvsjherc0/cancel" }, "version": "bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a" }Generated inUsing seed: 3692929301 Loaded 141 frames from /tmp/tmpywa_qk39tmp2dc62s6m.output.mp4 Loaded 141 frames from /tmp/tmpthdg8haymasked_video.mp4 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:14<06:15, 14.44s/it] 7%|▋ | 2/27 [00:28<06:01, 14.45s/it] 11%|█ | 3/27 [00:43<05:47, 14.46s/it] 15%|█▍ | 4/27 [00:57<05:32, 14.46s/it] 19%|█▊ | 5/27 [01:12<05:18, 14.46s/it] 22%|██▏ | 6/27 [01:26<05:03, 14.47s/it] 26%|██▌ | 7/27 [01:41<04:49, 14.47s/it] 30%|██▉ | 8/27 [01:55<04:34, 14.46s/it] 33%|███▎ | 9/27 [02:10<04:20, 14.47s/it] 37%|███▋ | 10/27 [02:24<04:05, 14.47s/it] 41%|████ | 11/27 [02:39<03:51, 14.47s/it] 44%|████▍ | 12/27 [02:53<03:37, 14.47s/it] 48%|████▊ | 13/27 [03:08<03:22, 14.47s/it] 52%|█████▏ | 14/27 [03:22<03:08, 14.47s/it] 56%|█████▌ | 15/27 [03:36<02:53, 14.47s/it] 59%|█████▉ | 16/27 [03:51<02:39, 14.47s/it] 63%|██████▎ | 17/27 [04:05<02:24, 14.47s/it] 67%|██████▋ | 18/27 [04:20<02:10, 14.47s/it] 70%|███████ | 19/27 [04:34<01:55, 14.47s/it] 74%|███████▍ | 20/27 [04:49<01:41, 14.47s/it] 78%|███████▊ | 21/27 [05:03<01:26, 14.47s/it] 81%|████████▏ | 22/27 [05:18<01:12, 14.47s/it] 85%|████████▌ | 23/27 [05:32<00:57, 14.46s/it] 89%|████████▉ | 24/27 [05:47<00:43, 14.46s/it] 93%|█████████▎| 25/27 [06:01<00:28, 14.46s/it] 96%|█████████▋| 26/27 [06:16<00:14, 14.46s/it] 100%|██████████| 27/27 [06:30<00:00, 14.46s/it] 100%|██████████| 27/27 [06:30<00:00, 14.46s/it] Moviepy - Building video output.mp4. Moviepy - Writing video output.mp4 t: 0%| | 0/141 [00:00<?, ?it/s, now=None] t: 8%|▊ | 11/141 [00:00<00:01, 105.39it/s, now=None] t: 16%|█▌ | 22/141 [00:00<00:01, 104.08it/s, now=None] t: 23%|██▎ | 33/141 [00:00<00:01, 103.61it/s, now=None] t: 31%|███ | 44/141 [00:00<00:00, 103.81it/s, now=None] t: 39%|███▉ | 55/141 [00:00<00:00, 100.08it/s, now=None] t: 47%|████▋ | 66/141 [00:00<00:00, 93.21it/s, now=None] t: 55%|█████▍ | 77/141 [00:00<00:00, 95.89it/s, now=None] t: 62%|██████▏ | 87/141 [00:00<00:00, 93.66it/s, now=None] t: 69%|██████▉ | 97/141 [00:01<00:00, 93.10it/s, now=None] t: 76%|███████▌ | 107/141 [00:01<00:00, 90.07it/s, now=None] t: 83%|████████▎ | 117/141 [00:01<00:00, 86.44it/s, now=None] t: 89%|████████▉ | 126/141 [00:01<00:00, 87.00it/s, now=None] t: 96%|█████████▌| 135/141 [00:01<00:00, 84.94it/s, now=None] Moviepy - Done ! Moviepy - video ready output.mp4 Saved video to output.mp4Prediction
andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55aID2azxs8j44nrme0cnbn28yyedncStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- -1
- prompt
- Three smiling bears walking on a street
- strength
- 0.9
- expand_mask
- 10
- guide_scale
- 5
- input_video
- sampling_steps
- 30
- negative_prompt
- frames_per_second
- 16
- inpaint_fixup_steps
- 0
{ "seed": -1, "prompt": "Three smiling bears walking on a street", "strength": 0.9, "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 }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 andreasjansson/wan-1.3b-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", { input: { seed: -1, prompt: "Three smiling bears walking on a street", strength: 0.9, expand_mask: 10, guide_scale: 5, input_video: "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", sampling_steps: 30, negative_prompt: "", frames_per_second: 16, inpaint_fixup_steps: 0 } } ); // 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 andreasjansson/wan-1.3b-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", input={ "seed": -1, "prompt": "Three smiling bears walking on a street", "strength": 0.9, "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/wan-1.3b-inpaint 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": "andreasjansson/wan-1.3b-inpaint:bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a", "input": { "seed": -1, "prompt": "Three smiling bears walking on a street", "strength": 0.9, "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-03T18:35:26.179215Z", "created_at": "2025-03-03T18:28:29.861000Z", "data_removed": false, "error": null, "id": "2azxs8j44nrme0cnbn28yyednc", "input": { "seed": -1, "prompt": "Three smiling bears walking on a street", "strength": 0.9, "expand_mask": 10, "guide_scale": 5, "input_video": "https://replicate.delivery/xezq/UpqkYwl7hTqTJ5rfIE0eb5WpDv6quG6PeFcdtH157Y2uonloA/tmp2dc62s6m.output.mp4", "sampling_steps": 30, "negative_prompt": "", "frames_per_second": 16, "inpaint_fixup_steps": 0 }, "logs": "Using seed: 1301265415\nLoaded 141 frames from /tmp/tmpj_ch5oeqtmp2dc62s6m.output.mp4\nWARNING:py.warnings:/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):\nWARNING:py.warnings:/src/wan/text2video_inpaint.py:228: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\ntorch.cuda.amp.autocast(dtype=self.param_dtype),\n 0%| | 0/27 [00:00<?, ?it/s]WARNING:py.warnings:/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):\nWARNING:py.warnings:/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):\nWARNING:py.warnings:/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):\nWARNING:py.warnings:/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):\nWARNING:py.warnings:/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 4%|▎ | 1/27 [00:14<06:20, 14.63s/it]\n 7%|▋ | 2/27 [00:29<06:06, 14.65s/it]\n 11%|█ | 3/27 [00:43<05:51, 14.66s/it]\n 15%|█▍ | 4/27 [00:58<05:36, 14.65s/it]\n 19%|█▊ | 5/27 [01:13<05:22, 14.64s/it]\n 22%|██▏ | 6/27 [01:27<05:07, 14.64s/it]\n 26%|██▌ | 7/27 [01:42<04:52, 14.64s/it]\n 30%|██▉ | 8/27 [01:57<04:38, 14.64s/it]\n 33%|███▎ | 9/27 [02:11<04:23, 14.63s/it]\n 37%|███▋ | 10/27 [02:26<04:08, 14.63s/it]\n 41%|████ | 11/27 [02:41<03:54, 14.63s/it]\n 44%|████▍ | 12/27 [02:55<03:39, 14.64s/it]\n 48%|████▊ | 13/27 [03:10<03:24, 14.64s/it]\n 52%|█████▏ | 14/27 [03:24<03:10, 14.64s/it]\n 56%|█████▌ | 15/27 [03:39<02:55, 14.63s/it]\n 59%|█████▉ | 16/27 [03:54<02:40, 14.64s/it]\n 63%|██████▎ | 17/27 [04:08<02:26, 14.64s/it]\n 67%|██████▋ | 18/27 [04:23<02:11, 14.63s/it]\n 70%|███████ | 19/27 [04:38<01:57, 14.63s/it]\n 74%|███████▍ | 20/27 [04:52<01:42, 14.63s/it]\n 78%|███████▊ | 21/27 [05:07<01:27, 14.63s/it]\n 81%|████████▏ | 22/27 [05:21<01:13, 14.63s/it]\n 85%|████████▌ | 23/27 [05:36<00:58, 14.63s/it]\n 89%|████████▉ | 24/27 [05:51<00:43, 14.63s/it]\n 93%|█████████▎| 25/27 [06:05<00:29, 14.63s/it]\n 96%|█████████▋| 26/27 [06:20<00:14, 14.62s/it]\n100%|██████████| 27/27 [06:35<00:00, 14.62s/it]\n100%|██████████| 27/27 [06:35<00:00, 14.63s/it]\nWARNING:py.warnings:/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):\nMoviepy - Building video output.mp4.\nMoviepy - Writing video output.mp4\nt: 0%| | 0/141 [00:00<?, ?it/s, now=None]\nt: 8%|▊ | 11/141 [00:00<00:01, 105.50it/s, now=None]\nt: 16%|█▌ | 22/141 [00:00<00:01, 104.37it/s, now=None]\nt: 23%|██▎ | 33/141 [00:00<00:01, 105.15it/s, now=None]\nt: 31%|███ | 44/141 [00:00<00:00, 105.70it/s, now=None]\nt: 39%|███▉ | 55/141 [00:00<00:00, 100.90it/s, now=None]\nt: 47%|████▋ | 66/141 [00:00<00:00, 95.52it/s, now=None] \nt: 54%|█████▍ | 76/141 [00:00<00:00, 90.47it/s, now=None]\nt: 61%|██████ | 86/141 [00:00<00:00, 90.71it/s, now=None]\nt: 68%|██████▊ | 96/141 [00:01<00:00, 87.93it/s, now=None]\nt: 74%|███████▍ | 105/141 [00:01<00:00, 84.27it/s, now=None]\nt: 81%|████████ | 114/141 [00:01<00:00, 83.36it/s, now=None]\nt: 87%|████████▋ | 123/141 [00:01<00:00, 83.03it/s, now=None]\nt: 94%|█████████▎| 132/141 [00:01<00:00, 81.05it/s, now=None]\nt: 100%|██████████| 141/141 [00:01<00:00, 80.96it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready output.mp4\nSaved video to output.mp4", "metrics": { "predict_time": 416.287804949, "total_time": 416.318215 }, "output": "https://replicate.delivery/xezq/0pQOrPJi3fTrYiJufsAgVNViSdnLQh1i2Mq6muN1RNruh6UUA/output.mp4", "started_at": "2025-03-03T18:28:29.891410Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-6exylayllr6wu374mi5jr23gbqptevmzxpnidfopvywltlno7uga", "get": "https://api.replicate.com/v1/predictions/2azxs8j44nrme0cnbn28yyednc", "cancel": "https://api.replicate.com/v1/predictions/2azxs8j44nrme0cnbn28yyednc/cancel" }, "version": "bb93dccacce86d677ee58455ac15d559a5d9956b61c39260b5779d5bc143b55a" }Generated inUsing seed: 1301265415 Loaded 141 frames from /tmp/tmpj_ch5oeqtmp2dc62s6m.output.mp4 WARNING:py.warnings:/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): WARNING:py.warnings:/src/wan/text2video_inpaint.py:228: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. torch.cuda.amp.autocast(dtype=self.param_dtype), 0%| | 0/27 [00:00<?, ?it/s]WARNING:py.warnings:/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): WARNING:py.warnings:/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): WARNING:py.warnings:/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): WARNING:py.warnings:/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): WARNING:py.warnings:/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): 4%|▎ | 1/27 [00:14<06:20, 14.63s/it] 7%|▋ | 2/27 [00:29<06:06, 14.65s/it] 11%|█ | 3/27 [00:43<05:51, 14.66s/it] 15%|█▍ | 4/27 [00:58<05:36, 14.65s/it] 19%|█▊ | 5/27 [01:13<05:22, 14.64s/it] 22%|██▏ | 6/27 [01:27<05:07, 14.64s/it] 26%|██▌ | 7/27 [01:42<04:52, 14.64s/it] 30%|██▉ | 8/27 [01:57<04:38, 14.64s/it] 33%|███▎ | 9/27 [02:11<04:23, 14.63s/it] 37%|███▋ | 10/27 [02:26<04:08, 14.63s/it] 41%|████ | 11/27 [02:41<03:54, 14.63s/it] 44%|████▍ | 12/27 [02:55<03:39, 14.64s/it] 48%|████▊ | 13/27 [03:10<03:24, 14.64s/it] 52%|█████▏ | 14/27 [03:24<03:10, 14.64s/it] 56%|█████▌ | 15/27 [03:39<02:55, 14.63s/it] 59%|█████▉ | 16/27 [03:54<02:40, 14.64s/it] 63%|██████▎ | 17/27 [04:08<02:26, 14.64s/it] 67%|██████▋ | 18/27 [04:23<02:11, 14.63s/it] 70%|███████ | 19/27 [04:38<01:57, 14.63s/it] 74%|███████▍ | 20/27 [04:52<01:42, 14.63s/it] 78%|███████▊ | 21/27 [05:07<01:27, 14.63s/it] 81%|████████▏ | 22/27 [05:21<01:13, 14.63s/it] 85%|████████▌ | 23/27 [05:36<00:58, 14.63s/it] 89%|████████▉ | 24/27 [05:51<00:43, 14.63s/it] 93%|█████████▎| 25/27 [06:05<00:29, 14.63s/it] 96%|█████████▋| 26/27 [06:20<00:14, 14.62s/it] 100%|██████████| 27/27 [06:35<00:00, 14.62s/it] 100%|██████████| 27/27 [06:35<00:00, 14.63s/it] WARNING:py.warnings:/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): Moviepy - Building video output.mp4. Moviepy - Writing video output.mp4 t: 0%| | 0/141 [00:00<?, ?it/s, now=None] t: 8%|▊ | 11/141 [00:00<00:01, 105.50it/s, now=None] t: 16%|█▌ | 22/141 [00:00<00:01, 104.37it/s, now=None] t: 23%|██▎ | 33/141 [00:00<00:01, 105.15it/s, now=None] t: 31%|███ | 44/141 [00:00<00:00, 105.70it/s, now=None] t: 39%|███▉ | 55/141 [00:00<00:00, 100.90it/s, now=None] t: 47%|████▋ | 66/141 [00:00<00:00, 95.52it/s, now=None] t: 54%|█████▍ | 76/141 [00:00<00:00, 90.47it/s, now=None] t: 61%|██████ | 86/141 [00:00<00:00, 90.71it/s, now=None] t: 68%|██████▊ | 96/141 [00:01<00:00, 87.93it/s, now=None] t: 74%|███████▍ | 105/141 [00:01<00:00, 84.27it/s, now=None] t: 81%|████████ | 114/141 [00:01<00:00, 83.36it/s, now=None] t: 87%|████████▋ | 123/141 [00:01<00:00, 83.03it/s, now=None] t: 94%|█████████▎| 132/141 [00:01<00:00, 81.05it/s, now=None] t: 100%|██████████| 141/141 [00:01<00:00, 80.96it/s, now=None] Moviepy - Done ! Moviepy - video ready output.mp4 Saved video to output.mp4
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