ouhenio / stylegan3-clip
stylegan3 + clip
- Public
- 6.9K runs
-
T4
- GitHub
Prediction
ouhenio/stylegan3-clip:6ff1a67af2f735898abd0b1d3f32d8829ead1ca11ae5d1852ce8e032333e7acaID2u25dhu7vncgblarxacwp6jiuuStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- 80
- text
- boris johnson cat
- steps
- 300
- model_name
- AFHQv2
- output_type
- mp4
- video_length
- 10
- learning_rate
- "0.05"
{ "seed": 80, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10, "learning_rate": "0.05" }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:6ff1a67af2f735898abd0b1d3f32d8829ead1ca11ae5d1852ce8e032333e7aca", { input: { seed: 80, text: "boris johnson cat", steps: 300, model_name: "AFHQv2", output_type: "mp4", video_length: 10, learning_rate: "0.05" } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:6ff1a67af2f735898abd0b1d3f32d8829ead1ca11ae5d1852ce8e032333e7aca", input={ "seed": 80, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10, "learning_rate": "0.05" } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:6ff1a67af2f735898abd0b1d3f32d8829ead1ca11ae5d1852ce8e032333e7aca", "input": { "seed": 80, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10, "learning_rate": "0.05" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-23T14:03:37.493075Z", "created_at": "2021-10-23T13:58:56.621649Z", "data_removed": false, "error": null, "id": "2u25dhu7vncgblarxacwp6jiuu", "input": { "seed": 80, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10, "learning_rate": "0.05" }, "logs": "Image 10/300 | Current loss: 0.7478441596031189\nImage 20/300 | Current loss: 0.7172966003417969\nImage 30/300 | Current loss: 0.6992239356040955\nImage 40/300 | Current loss: 0.6825894117355347\nImage 50/300 | Current loss: 0.6777417063713074\nImage 60/300 | Current loss: 0.6858006119728088\nImage 70/300 | Current loss: 0.6675745844841003\nImage 80/300 | Current loss: 0.6678168773651123\nImage 90/300 | Current loss: 0.6651805639266968\nImage 100/300 | Current loss: 0.6800380945205688\nImage 110/300 | Current loss: 0.6650881767272949\nImage 120/300 | Current loss: 0.653714120388031\nImage 130/300 | Current loss: 0.6686275005340576\nImage 140/300 | Current loss: 0.6481894254684448\nImage 150/300 | Current loss: 0.6472564935684204\nImage 160/300 | Current loss: 0.6602806448936462\nImage 170/300 | Current loss: 0.660152792930603\nImage 180/300 | Current loss: 0.6387919187545776\nImage 190/300 | Current loss: 0.6558809280395508\nImage 200/300 | Current loss: 0.6412752866744995\nImage 210/300 | Current loss: 0.6330374479293823\nImage 220/300 | Current loss: 0.6323933005332947\nImage 230/300 | Current loss: 0.6331932544708252\nImage 240/300 | Current loss: 0.6398876905441284\nImage 250/300 | Current loss: 0.6416942477226257\nImage 260/300 | Current loss: 0.6344654560089111\nImage 270/300 | Current loss: 0.6215830445289612\nImage 280/300 | Current loss: 0.6376741528511047\nImage 290/300 | Current loss: 0.6357622742652893\nImage 300/300 | Current loss: 0.6359434723854065\n--- 190.11183142662048 seconds ---\nGenerating video...\n\n 0%| | 0/299 [00:00<?, ?it/s]\n\n 0%| | 1/299 [00:00<01:04, 4.64it/s]\n\n 1%| | 2/299 [00:00<01:03, 4.65it/s]\n\n 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[00:51<00:19, 4.16it/s]\n\n 73%|#######2 | 218/299 [00:51<00:19, 4.15it/s]\n\n 73%|#######3 | 219/299 [00:51<00:19, 4.13it/s]\n\n 74%|#######3 | 220/299 [00:51<00:19, 4.13it/s]\n\n 74%|#######3 | 221/299 [00:52<00:18, 4.14it/s]\n\n 74%|#######4 | 222/299 [00:52<00:18, 4.08it/s]\n\n 75%|#######4 | 223/299 [00:52<00:18, 4.09it/s]\n\n 75%|#######4 | 224/299 [00:52<00:18, 4.06it/s]\n\n 75%|#######5 | 225/299 [00:53<00:18, 4.04it/s]\n\n 76%|#######5 | 226/299 [00:53<00:18, 4.02it/s]\n\n 76%|#######5 | 227/299 [00:53<00:17, 4.02it/s]\n\n 76%|#######6 | 228/299 [00:53<00:17, 3.99it/s]\n\n 77%|#######6 | 229/299 [00:54<00:17, 3.98it/s]\n\n 77%|#######6 | 230/299 [00:54<00:17, 4.01it/s]\n\n 77%|#######7 | 231/299 [00:54<00:16, 4.00it/s]\n\n 78%|#######7 | 232/299 [00:54<00:16, 4.00it/s]\n\n 78%|#######7 | 233/299 [00:55<00:16, 4.04it/s]\n\n 78%|#######8 | 234/299 [00:55<00:16, 4.03it/s]\n\n 79%|#######8 | 235/299 [00:55<00:15, 4.06it/s]\n\n 79%|#######8 | 236/299 [00:55<00:15, 4.04it/s]\n\n 79%|#######9 | 237/299 [00:56<00:15, 4.08it/s]\n\n 80%|#######9 | 238/299 [00:56<00:14, 4.10it/s]\n\n 80%|#######9 | 239/299 [00:56<00:14, 4.12it/s]\n\n 80%|######## | 240/299 [00:56<00:14, 4.09it/s]\n\n 81%|######## | 241/299 [00:57<00:14, 4.06it/s]\n\n 81%|######## | 242/299 [00:57<00:14, 4.07it/s]\n\n 81%|########1 | 243/299 [00:57<00:13, 4.09it/s]\n\n 82%|########1 | 244/299 [00:57<00:13, 4.05it/s]\n\n 82%|########1 | 245/299 [00:58<00:13, 4.07it/s]\n\n 82%|########2 | 246/299 [00:58<00:13, 4.04it/s]\n\n 83%|########2 | 247/299 [00:58<00:12, 4.01it/s]\n\n 83%|########2 | 248/299 [00:58<00:12, 3.98it/s]\n\n 83%|########3 | 249/299 [00:59<00:12, 4.00it/s]\n\n 84%|########3 | 250/299 [00:59<00:12, 4.02it/s]\n\n 84%|########3 | 251/299 [00:59<00:12, 3.93it/s]\n\n 84%|########4 | 252/299 [00:59<00:11, 3.97it/s]\n\n 85%|########4 | 253/299 [01:00<00:11, 4.01it/s]\n\n 85%|########4 | 254/299 [01:00<00:11, 4.02it/s]\n\n 85%|########5 | 255/299 [01:00<00:10, 4.05it/s]\n\n 86%|########5 | 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[01:05<00:05, 4.04it/s]\n\n 92%|#########2| 276/299 [01:05<00:05, 4.05it/s]\n\n 93%|#########2| 277/299 [01:06<00:05, 4.01it/s]\n\n 93%|#########2| 278/299 [01:06<00:05, 4.03it/s]\n\n 93%|#########3| 279/299 [01:06<00:04, 4.03it/s]\n\n 94%|#########3| 280/299 [01:06<00:04, 4.05it/s]\n\n 94%|#########3| 281/299 [01:07<00:04, 4.04it/s]\n\n 94%|#########4| 282/299 [01:07<00:04, 4.05it/s]\n\n 95%|#########4| 283/299 [01:07<00:03, 4.04it/s]\n\n 95%|#########4| 284/299 [01:07<00:03, 4.00it/s]\n\n 95%|#########5| 285/299 [01:08<00:03, 4.01it/s]\n\n 96%|#########5| 286/299 [01:08<00:03, 4.03it/s]\n\n 96%|#########5| 287/299 [01:08<00:03, 3.99it/s]\n\n 96%|#########6| 288/299 [01:08<00:02, 3.98it/s]\n\n 97%|#########6| 289/299 [01:09<00:02, 3.94it/s]\n\n 97%|#########6| 290/299 [01:09<00:02, 3.98it/s]\n\n 97%|#########7| 291/299 [01:09<00:02, 3.97it/s]\n\n 98%|#########7| 292/299 [01:09<00:01, 3.97it/s]\n\n 98%|#########7| 293/299 [01:10<00:01, 3.98it/s]\n\n 98%|#########8| 294/299 [01:10<00:01, 4.01it/s]\n\n 99%|#########8| 295/299 [01:10<00:01, 3.97it/s]\n\n 99%|#########8| 296/299 [01:10<00:00, 4.00it/s]\n\n 99%|#########9| 297/299 [01:11<00:00, 4.00it/s]\n\n100%|#########9| 298/299 [01:11<00:00, 4.02it/s]\n\n100%|##########| 299/299 [01:11<00:00, 4.01it/s]\n\n100%|##########| 299/299 [01:11<00:00, 4.18it/s]\nThe video is ready\nvideos takes : 74.00500559806824", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/159f9d85-cd71-4233-a1a6-15b7adaed313/progress.png" }, { "file": "https://replicate.delivery/mgxm/bf80571b-8e5b-4f90-a6d7-9586872b68c1/progress.png" }, { "file": "https://replicate.delivery/mgxm/d5acb93b-fd87-4ab1-affc-e69d9367afc4/progress.png" }, { "file": "https://replicate.delivery/mgxm/81ec1a94-d1ea-4fd1-94d8-2b8016aa9c32/progress.png" }, { "file": "https://replicate.delivery/mgxm/698f4134-4080-402e-a767-f72b629cb4a5/progress.png" }, { "file": "https://replicate.delivery/mgxm/a957a5be-50a0-4119-b17b-37d58f3094f9/progress.png" }, { "file": "https://replicate.delivery/mgxm/2d70aec7-56ab-4d4f-b99e-a785e9dc6542/progress.png" }, { "file": "https://replicate.delivery/mgxm/f6bd7ef8-5fe9-4e10-9cee-1cc82602a939/progress.png" }, { "file": "https://replicate.delivery/mgxm/dd7ee29a-d9b4-47fc-acdd-e07e853fd92c/progress.png" }, { "file": "https://replicate.delivery/mgxm/674ae3d0-280a-4ea8-ba71-480edede069b/progress.png" }, { "file": "https://replicate.delivery/mgxm/0138303d-7cd6-4893-adc0-971215448847/progress.png" }, { "file": "https://replicate.delivery/mgxm/fdb90760-bb9c-4b0a-950f-1593419b474a/progress.png" }, { "file": "https://replicate.delivery/mgxm/d2aaf44f-3ce0-4ca2-b5b0-be2ce4a2fb2c/progress.png" }, { "file": "https://replicate.delivery/mgxm/afe675f5-5bfc-4659-885c-b7086ff9a0eb/progress.png" }, { "file": "https://replicate.delivery/mgxm/2a6b7b12-75ec-4653-9eb0-0f5f68a22238/progress.png" }, { "file": "https://replicate.delivery/mgxm/31ff7755-caca-4cab-bf1a-3605004816b2/progress.png" }, { "file": "https://replicate.delivery/mgxm/e6d2f00b-ddb8-4b57-9705-994fe9686437/progress.png" }, { "file": "https://replicate.delivery/mgxm/ea75789f-e8c5-4c4d-8c8c-1c6175baac47/progress.png" }, { "file": "https://replicate.delivery/mgxm/dca9c296-e465-4ec1-8543-b587b17c9a72/progress.png" }, { "file": "https://replicate.delivery/mgxm/380de72b-b66b-4670-a69f-8c31dab25a89/progress.png" }, { "file": "https://replicate.delivery/mgxm/fb4e6180-af66-4661-b5b3-13e624174c4e/progress.png" }, { "file": "https://replicate.delivery/mgxm/43d1bc91-354e-42f2-ad10-10ece4f980f0/progress.png" }, { "file": "https://replicate.delivery/mgxm/b60afb20-7cb7-42e5-979a-d027dcb32c59/progress.png" }, { "file": "https://replicate.delivery/mgxm/658d38db-9e4b-4116-afca-66f5d8a54660/progress.png" }, { "file": "https://replicate.delivery/mgxm/eaef3d6c-802d-41d0-8f7a-a52457531595/progress.png" }, { "file": "https://replicate.delivery/mgxm/da09da0c-84df-4b91-8597-4f269e8550e3/progress.png" }, { "file": "https://replicate.delivery/mgxm/f7353491-45a1-4cbb-90ac-88507f9d2b5c/progress.png" }, { "file": "https://replicate.delivery/mgxm/59cd728a-2923-4366-807c-b94bbb94918f/progress.png" }, { "file": "https://replicate.delivery/mgxm/4d9a4e5f-127f-4c5b-a6d4-dba2570f264d/progress.png" }, { "file": "https://replicate.delivery/mgxm/d0fd27a9-5718-406b-b3c5-f728a49893f5/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2u25dhu7vncgblarxacwp6jiuu", "cancel": "https://api.replicate.com/v1/predictions/2u25dhu7vncgblarxacwp6jiuu/cancel" }, "version": "6ff1a67af2f735898abd0b1d3f32d8829ead1ca11ae5d1852ce8e032333e7aca" }Image 10/300 | Current loss: 0.7478441596031189 Image 20/300 | Current loss: 0.7172966003417969 Image 30/300 | Current loss: 0.6992239356040955 Image 40/300 | Current loss: 0.6825894117355347 Image 50/300 | Current loss: 0.6777417063713074 Image 60/300 | Current loss: 0.6858006119728088 Image 70/300 | Current loss: 0.6675745844841003 Image 80/300 | Current loss: 0.6678168773651123 Image 90/300 | Current loss: 0.6651805639266968 Image 100/300 | Current loss: 0.6800380945205688 Image 110/300 | Current loss: 0.6650881767272949 Image 120/300 | Current loss: 0.653714120388031 Image 130/300 | Current loss: 0.6686275005340576 Image 140/300 | Current loss: 0.6481894254684448 Image 150/300 | Current loss: 0.6472564935684204 Image 160/300 | Current loss: 0.6602806448936462 Image 170/300 | Current loss: 0.660152792930603 Image 180/300 | Current loss: 0.6387919187545776 Image 190/300 | Current loss: 0.6558809280395508 Image 200/300 | Current loss: 0.6412752866744995 Image 210/300 | Current loss: 0.6330374479293823 Image 220/300 | Current loss: 0.6323933005332947 Image 230/300 | Current loss: 0.6331932544708252 Image 240/300 | Current loss: 0.6398876905441284 Image 250/300 | Current loss: 0.6416942477226257 Image 260/300 | Current loss: 0.6344654560089111 Image 270/300 | Current loss: 0.6215830445289612 Image 280/300 | Current loss: 0.6376741528511047 Image 290/300 | Current loss: 0.6357622742652893 Image 300/300 | Current loss: 0.6359434723854065 --- 190.11183142662048 seconds --- Generating video... 0%| | 0/299 [00:00<?, ?it/s] 0%| | 1/299 [00:00<01:04, 4.64it/s] 1%| | 2/299 [00:00<01:03, 4.65it/s] 1%|1 | 3/299 [00:00<01:04, 4.61it/s] 1%|1 | 4/299 [00:00<01:03, 4.61it/s] 2%|1 | 5/299 [00:01<01:04, 4.59it/s] 2%|2 | 6/299 [00:01<01:04, 4.56it/s] 2%|2 | 7/299 [00:01<01:04, 4.54it/s] 3%|2 | 8/299 [00:01<01:04, 4.49it/s] 3%|3 | 9/299 [00:01<01:05, 4.46it/s] 3%|3 | 10/299 [00:02<01:05, 4.44it/s] 4%|3 | 11/299 [00:02<01:05, 4.42it/s] 4%|4 | 12/299 [00:02<01:05, 4.39it/s] 4%|4 | 13/299 [00:02<01:05, 4.34it/s] 5%|4 | 14/299 [00:03<01:06, 4.30it/s] 5%|5 | 15/299 [00:03<01:06, 4.28it/s] 5%|5 | 16/299 [00:03<01:06, 4.28it/s] 6%|5 | 17/299 [00:03<01:05, 4.28it/s] 6%|6 | 18/299 [00:04<01:05, 4.27it/s] 6%|6 | 19/299 [00:04<01:05, 4.25it/s] 7%|6 | 20/299 [00:04<01:05, 4.25it/s] 7%|7 | 21/299 [00:04<01:05, 4.24it/s] 7%|7 | 22/299 [00:05<01:05, 4.23it/s] 8%|7 | 23/299 [00:05<01:05, 4.23it/s] 8%|8 | 24/299 [00:05<01:04, 4.23it/s] 8%|8 | 25/299 [00:05<01:04, 4.23it/s] 9%|8 | 26/299 [00:05<01:04, 4.21it/s] 9%|9 | 27/299 [00:06<01:04, 4.22it/s] 9%|9 | 28/299 [00:06<01:04, 4.22it/s] 10%|9 | 29/299 [00:06<01:03, 4.24it/s] 10%|# | 30/299 [00:06<01:03, 4.24it/s] 10%|# | 31/299 [00:07<01:03, 4.25it/s] 11%|# | 32/299 [00:07<01:03, 4.23it/s] 11%|#1 | 33/299 [00:07<01:03, 4.21it/s] 11%|#1 | 34/299 [00:07<01:02, 4.22it/s] 12%|#1 | 35/299 [00:08<01:02, 4.24it/s] 12%|#2 | 36/299 [00:08<01:01, 4.26it/s] 12%|#2 | 37/299 [00:08<01:01, 4.23it/s] 13%|#2 | 38/299 [00:08<01:01, 4.25it/s] 13%|#3 | 39/299 [00:09<01:00, 4.28it/s] 13%|#3 | 40/299 [00:09<01:00, 4.29it/s] 14%|#3 | 41/299 [00:09<01:00, 4.29it/s] 14%|#4 | 42/299 [00:09<01:00, 4.28it/s] 14%|#4 | 43/299 [00:09<01:00, 4.26it/s] 15%|#4 | 44/299 [00:10<00:59, 4.28it/s] 15%|#5 | 45/299 [00:10<00:58, 4.31it/s] 15%|#5 | 46/299 [00:10<00:58, 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3.97it/s] 98%|#########7| 292/299 [01:09<00:01, 3.97it/s] 98%|#########7| 293/299 [01:10<00:01, 3.98it/s] 98%|#########8| 294/299 [01:10<00:01, 4.01it/s] 99%|#########8| 295/299 [01:10<00:01, 3.97it/s] 99%|#########8| 296/299 [01:10<00:00, 4.00it/s] 99%|#########9| 297/299 [01:11<00:00, 4.00it/s] 100%|#########9| 298/299 [01:11<00:00, 4.02it/s] 100%|##########| 299/299 [01:11<00:00, 4.01it/s] 100%|##########| 299/299 [01:11<00:00, 4.18it/s] The video is ready videos takes : 74.00500559806824Prediction
ouhenio/stylegan3-clip:659faa452925c26d86250aac8e86d40b2384806f9587bafac01bddf054e04f1bIDpvrwnqrm4vd6nfqgv45wg62x6iStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- "2"
- text
- alien fox
- steps
- 100
- model_name
- AFHQv2
- output_type
- mp4
- video_length
- 5
{ "seed": "2", "text": "alien fox", "steps": 100, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:659faa452925c26d86250aac8e86d40b2384806f9587bafac01bddf054e04f1b", { input: { seed: "2", text: "alien fox", steps: 100, model_name: "AFHQv2", output_type: "mp4", video_length: 5 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:659faa452925c26d86250aac8e86d40b2384806f9587bafac01bddf054e04f1b", input={ "seed": "2", "text": "alien fox", "steps": 100, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 5 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:659faa452925c26d86250aac8e86d40b2384806f9587bafac01bddf054e04f1b", "input": { "seed": "2", "text": "alien fox", "steps": 100, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T17:20:42.303729Z", "created_at": "2021-10-17T17:19:02.970141Z", "data_removed": false, "error": null, "id": "pvrwnqrm4vd6nfqgv45wg62x6i", "input": { "seed": "2", "text": "alien fox", "steps": 100, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 5 }, "logs": "Image 0/100 | Current loss: 0.8317898511886597\nImage 10/100 | Current loss: 0.770693302154541\nImage 20/100 | Current loss: 0.7496380805969238\nImage 30/100 | Current loss: 0.7394729852676392\nImage 40/100 | Current loss: 0.7190335988998413\nImage 50/100 | Current loss: 0.7188528776168823\nImage 60/100 | Current loss: 0.702532172203064\nImage 70/100 | Current loss: 0.6963869333267212\nImage 80/100 | Current loss: 0.6977709531784058\nImage 90/100 | Current loss: 0.7018710374832153\nGenerating video...\n\n 0%| | 0/99 [00:00<?, ?it/s]\n\n 1%|1 | 1/99 [00:00<00:22, 4.42it/s]\n\n 2%|2 | 2/99 [00:00<00:21, 4.47it/s]\n\n 3%|3 | 3/99 [00:00<00:21, 4.49it/s]\n\n 4%|4 | 4/99 [00:00<00:21, 4.52it/s]\n\n 5%|5 | 5/99 [00:01<00:20, 4.63it/s]\n\n 6%|6 | 6/99 [00:01<00:19, 4.74it/s]\n\n 7%|7 | 7/99 [00:01<00:18, 4.86it/s]\n\n 8%|8 | 8/99 [00:01<00:18, 4.96it/s]\n\n 9%|9 | 9/99 [00:01<00:18, 4.93it/s]\n\n 10%|# | 10/99 [00:02<00:17, 4.97it/s]\n\n 11%|#1 | 11/99 [00:02<00:17, 4.98it/s]\n\n 12%|#2 | 12/99 [00:02<00:17, 4.96it/s]\n\n 13%|#3 | 13/99 [00:02<00:17, 4.90it/s]\n\n 14%|#4 | 14/99 [00:02<00:17, 4.80it/s]\n\n 15%|#5 | 15/99 [00:03<00:17, 4.77it/s]\n\n 16%|#6 | 16/99 [00:03<00:17, 4.74it/s]\n\n 17%|#7 | 17/99 [00:03<00:17, 4.72it/s]\n\n 18%|#8 | 18/99 [00:03<00:17, 4.70it/s]\n\n 19%|#9 | 19/99 [00:03<00:17, 4.66it/s]\n\n 20%|## | 20/99 [00:04<00:17, 4.62it/s]\n\n 21%|##1 | 21/99 [00:04<00:17, 4.57it/s]\n\n 22%|##2 | 22/99 [00:04<00:16, 4.55it/s]\n\n 23%|##3 | 23/99 [00:04<00:16, 4.54it/s]\n\n 24%|##4 | 24/99 [00:05<00:16, 4.51it/s]\n\n 25%|##5 | 25/99 [00:05<00:16, 4.51it/s]\n\n 26%|##6 | 26/99 [00:05<00:16, 4.50it/s]\n\n 27%|##7 | 27/99 [00:05<00:15, 4.51it/s]\n\n 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51%|##### | 50/99 [00:10<00:10, 4.53it/s]\n\n 52%|#####1 | 51/99 [00:11<00:10, 4.51it/s]\n\n 53%|#####2 | 52/99 [00:11<00:10, 4.51it/s]\n\n 54%|#####3 | 53/99 [00:11<00:10, 4.50it/s]\n\n 55%|#####4 | 54/99 [00:11<00:09, 4.51it/s]\n\n 56%|#####5 | 55/99 [00:11<00:09, 4.51it/s]\n\n 57%|#####6 | 56/99 [00:12<00:09, 4.49it/s]\n\n 58%|#####7 | 57/99 [00:12<00:09, 4.49it/s]\n\n 59%|#####8 | 58/99 [00:12<00:09, 4.49it/s]\n\n 60%|#####9 | 59/99 [00:12<00:08, 4.50it/s]\n\n 61%|###### | 60/99 [00:13<00:08, 4.47it/s]\n\n 62%|######1 | 61/99 [00:13<00:08, 4.46it/s]\n\n 63%|######2 | 62/99 [00:13<00:08, 4.43it/s]\n\n 64%|######3 | 63/99 [00:13<00:08, 4.43it/s]\n\n 65%|######4 | 64/99 [00:14<00:07, 4.44it/s]\n\n 66%|######5 | 65/99 [00:14<00:07, 4.44it/s]\n\n 67%|######6 | 66/99 [00:14<00:07, 4.45it/s]\n\n 68%|######7 | 67/99 [00:14<00:07, 4.43it/s]\n\n 69%|######8 | 68/99 [00:14<00:07, 4.43it/s]\n\n 70%|######9 | 69/99 [00:15<00:06, 4.41it/s]\n\n 71%|####### | 70/99 [00:15<00:06, 4.40it/s]\n\n 72%|#######1 | 71/99 [00:15<00:06, 4.39it/s]\n\n 73%|#######2 | 72/99 [00:15<00:06, 4.33it/s]\n\n 74%|#######3 | 73/99 [00:16<00:05, 4.35it/s]\n\n 75%|#######4 | 74/99 [00:16<00:05, 4.36it/s]\n\n 76%|#######5 | 75/99 [00:16<00:05, 4.39it/s]\n\n 77%|#######6 | 76/99 [00:16<00:05, 4.41it/s]\n\n 78%|#######7 | 77/99 [00:16<00:04, 4.40it/s]\n\n 79%|#######8 | 78/99 [00:17<00:04, 4.39it/s]\n\n 80%|#######9 | 79/99 [00:17<00:04, 4.39it/s]\n\n 81%|######## | 80/99 [00:17<00:04, 4.39it/s]\n\n 82%|########1 | 81/99 [00:17<00:04, 4.32it/s]\n\n 83%|########2 | 82/99 [00:18<00:03, 4.28it/s]\n\n 84%|########3 | 83/99 [00:18<00:03, 4.31it/s]\n\n 85%|########4 | 84/99 [00:18<00:03, 4.31it/s]\n\n 86%|########5 | 85/99 [00:18<00:03, 4.32it/s]\n\n 87%|########6 | 86/99 [00:19<00:03, 4.27it/s]\n\n 88%|########7 | 87/99 [00:19<00:02, 4.27it/s]\n\n 89%|########8 | 88/99 [00:19<00:02, 4.26it/s]\n\n 90%|########9 | 89/99 [00:19<00:02, 4.30it/s]\n\n 91%|######### | 90/99 [00:20<00:02, 4.28it/s]\n\n 92%|#########1| 91/99 [00:20<00:01, 4.29it/s]\n\n 93%|#########2| 92/99 [00:20<00:01, 4.31it/s]\n\n 94%|#########3| 93/99 [00:20<00:01, 4.31it/s]\n\n 95%|#########4| 94/99 [00:20<00:01, 4.32it/s]\n\n 96%|#########5| 95/99 [00:21<00:00, 4.29it/s]\n\n 97%|#########6| 96/99 [00:21<00:00, 4.31it/s]\n\n 98%|#########7| 97/99 [00:21<00:00, 4.32it/s]\n\n 99%|#########8| 98/99 [00:21<00:00, 4.30it/s]\n\n100%|##########| 99/99 [00:22<00:00, 4.27it/s]\n\n100%|##########| 99/99 [00:22<00:00, 4.48it/s]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/7b93c0dd-7e1b-4667-abbb-829567a81836/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pvrwnqrm4vd6nfqgv45wg62x6i", "cancel": "https://api.replicate.com/v1/predictions/pvrwnqrm4vd6nfqgv45wg62x6i/cancel" }, "version": "659faa452925c26d86250aac8e86d40b2384806f9587bafac01bddf054e04f1b" }Image 0/100 | Current loss: 0.8317898511886597 Image 10/100 | Current loss: 0.770693302154541 Image 20/100 | Current loss: 0.7496380805969238 Image 30/100 | Current loss: 0.7394729852676392 Image 40/100 | Current loss: 0.7190335988998413 Image 50/100 | Current loss: 0.7188528776168823 Image 60/100 | Current loss: 0.702532172203064 Image 70/100 | Current loss: 0.6963869333267212 Image 80/100 | Current loss: 0.6977709531784058 Image 90/100 | Current loss: 0.7018710374832153 Generating video... 0%| | 0/99 [00:00<?, ?it/s] 1%|1 | 1/99 [00:00<00:22, 4.42it/s] 2%|2 | 2/99 [00:00<00:21, 4.47it/s] 3%|3 | 3/99 [00:00<00:21, 4.49it/s] 4%|4 | 4/99 [00:00<00:21, 4.52it/s] 5%|5 | 5/99 [00:01<00:20, 4.63it/s] 6%|6 | 6/99 [00:01<00:19, 4.74it/s] 7%|7 | 7/99 [00:01<00:18, 4.86it/s] 8%|8 | 8/99 [00:01<00:18, 4.96it/s] 9%|9 | 9/99 [00:01<00:18, 4.93it/s] 10%|# | 10/99 [00:02<00:17, 4.97it/s] 11%|#1 | 11/99 [00:02<00:17, 4.98it/s] 12%|#2 | 12/99 [00:02<00:17, 4.96it/s] 13%|#3 | 13/99 [00:02<00:17, 4.90it/s] 14%|#4 | 14/99 [00:02<00:17, 4.80it/s] 15%|#5 | 15/99 [00:03<00:17, 4.77it/s] 16%|#6 | 16/99 [00:03<00:17, 4.74it/s] 17%|#7 | 17/99 [00:03<00:17, 4.72it/s] 18%|#8 | 18/99 [00:03<00:17, 4.70it/s] 19%|#9 | 19/99 [00:03<00:17, 4.66it/s] 20%|## | 20/99 [00:04<00:17, 4.62it/s] 21%|##1 | 21/99 [00:04<00:17, 4.57it/s] 22%|##2 | 22/99 [00:04<00:16, 4.55it/s] 23%|##3 | 23/99 [00:04<00:16, 4.54it/s] 24%|##4 | 24/99 [00:05<00:16, 4.51it/s] 25%|##5 | 25/99 [00:05<00:16, 4.51it/s] 26%|##6 | 26/99 [00:05<00:16, 4.50it/s] 27%|##7 | 27/99 [00:05<00:15, 4.51it/s] 28%|##8 | 28/99 [00:05<00:15, 4.52it/s] 29%|##9 | 29/99 [00:06<00:15, 4.52it/s] 30%|### | 30/99 [00:06<00:15, 4.52it/s] 31%|###1 | 31/99 [00:06<00:15, 4.52it/s] 32%|###2 | 32/99 [00:06<00:14, 4.52it/s] 33%|###3 | 33/99 [00:07<00:14, 4.50it/s] 34%|###4 | 34/99 [00:07<00:14, 4.53it/s] 35%|###5 | 35/99 [00:07<00:14, 4.54it/s] 36%|###6 | 36/99 [00:07<00:13, 4.52it/s] 37%|###7 | 37/99 [00:07<00:13, 4.50it/s] 38%|###8 | 38/99 [00:08<00:13, 4.50it/s] 39%|###9 | 39/99 [00:08<00:13, 4.42it/s] 40%|#### | 40/99 [00:08<00:13, 4.39it/s] 41%|####1 | 41/99 [00:08<00:13, 4.41it/s] 42%|####2 | 42/99 [00:09<00:12, 4.44it/s] 43%|####3 | 43/99 [00:09<00:12, 4.48it/s] 44%|####4 | 44/99 [00:09<00:12, 4.50it/s] 45%|####5 | 45/99 [00:09<00:11, 4.53it/s] 46%|####6 | 46/99 [00:09<00:11, 4.52it/s] 47%|####7 | 47/99 [00:10<00:11, 4.52it/s] 48%|####8 | 48/99 [00:10<00:11, 4.53it/s] 49%|####9 | 49/99 [00:10<00:11, 4.53it/s] 51%|##### | 50/99 [00:10<00:10, 4.53it/s] 52%|#####1 | 51/99 [00:11<00:10, 4.51it/s] 53%|#####2 | 52/99 [00:11<00:10, 4.51it/s] 54%|#####3 | 53/99 [00:11<00:10, 4.50it/s] 55%|#####4 | 54/99 [00:11<00:09, 4.51it/s] 56%|#####5 | 55/99 [00:11<00:09, 4.51it/s] 57%|#####6 | 56/99 [00:12<00:09, 4.49it/s] 58%|#####7 | 57/99 [00:12<00:09, 4.49it/s] 59%|#####8 | 58/99 [00:12<00:09, 4.49it/s] 60%|#####9 | 59/99 [00:12<00:08, 4.50it/s] 61%|###### | 60/99 [00:13<00:08, 4.47it/s] 62%|######1 | 61/99 [00:13<00:08, 4.46it/s] 63%|######2 | 62/99 [00:13<00:08, 4.43it/s] 64%|######3 | 63/99 [00:13<00:08, 4.43it/s] 65%|######4 | 64/99 [00:14<00:07, 4.44it/s] 66%|######5 | 65/99 [00:14<00:07, 4.44it/s] 67%|######6 | 66/99 [00:14<00:07, 4.45it/s] 68%|######7 | 67/99 [00:14<00:07, 4.43it/s] 69%|######8 | 68/99 [00:14<00:07, 4.43it/s] 70%|######9 | 69/99 [00:15<00:06, 4.41it/s] 71%|####### | 70/99 [00:15<00:06, 4.40it/s] 72%|#######1 | 71/99 [00:15<00:06, 4.39it/s] 73%|#######2 | 72/99 [00:15<00:06, 4.33it/s] 74%|#######3 | 73/99 [00:16<00:05, 4.35it/s] 75%|#######4 | 74/99 [00:16<00:05, 4.36it/s] 76%|#######5 | 75/99 [00:16<00:05, 4.39it/s] 77%|#######6 | 76/99 [00:16<00:05, 4.41it/s] 78%|#######7 | 77/99 [00:16<00:04, 4.40it/s] 79%|#######8 | 78/99 [00:17<00:04, 4.39it/s] 80%|#######9 | 79/99 [00:17<00:04, 4.39it/s] 81%|######## | 80/99 [00:17<00:04, 4.39it/s] 82%|########1 | 81/99 [00:17<00:04, 4.32it/s] 83%|########2 | 82/99 [00:18<00:03, 4.28it/s] 84%|########3 | 83/99 [00:18<00:03, 4.31it/s] 85%|########4 | 84/99 [00:18<00:03, 4.31it/s] 86%|########5 | 85/99 [00:18<00:03, 4.32it/s] 87%|########6 | 86/99 [00:19<00:03, 4.27it/s] 88%|########7 | 87/99 [00:19<00:02, 4.27it/s] 89%|########8 | 88/99 [00:19<00:02, 4.26it/s] 90%|########9 | 89/99 [00:19<00:02, 4.30it/s] 91%|######### | 90/99 [00:20<00:02, 4.28it/s] 92%|#########1| 91/99 [00:20<00:01, 4.29it/s] 93%|#########2| 92/99 [00:20<00:01, 4.31it/s] 94%|#########3| 93/99 [00:20<00:01, 4.31it/s] 95%|#########4| 94/99 [00:20<00:01, 4.32it/s] 96%|#########5| 95/99 [00:21<00:00, 4.29it/s] 97%|#########6| 96/99 [00:21<00:00, 4.31it/s] 98%|#########7| 97/99 [00:21<00:00, 4.32it/s] 99%|#########8| 98/99 [00:21<00:00, 4.30it/s] 100%|##########| 99/99 [00:22<00:00, 4.27it/s] 100%|##########| 99/99 [00:22<00:00, 4.48it/s] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7IDfx3udaruafe5hex3pqm3l25lgmStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- "2"
- text
- cyberpunk
- steps
- 90
- model_name
- FFHQ
- output_type
- mp4
- video_length
- 10
{ "seed": "2", "text": "cyberpunk", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: "2", text: "cyberpunk", steps: 90, model_name: "FFHQ", output_type: "mp4", video_length: 10 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": "2", "text": "cyberpunk", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": "2", "text": "cyberpunk", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T17:43:52.206996Z", "created_at": "2021-10-17T17:39:46.998604Z", "data_removed": false, "error": null, "id": "fx3udaruafe5hex3pqm3l25lgm", "input": { "seed": "2", "text": "cyberpunk", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 }, "logs": "Image 0/90 | Current loss: 0.9352552890777588\nImage 10/90 | Current loss: 0.8618043661117554\nImage 20/90 | Current loss: 0.8395847678184509\nImage 30/90 | Current loss: 0.8301098346710205\nImage 40/90 | Current loss: 0.7962118983268738\nImage 50/90 | Current loss: 0.7918789982795715\nImage 60/90 | Current loss: 0.7814754247665405\nImage 70/90 | Current loss: 0.7917299270629883\nImage 80/90 | Current loss: 0.7928383946418762\nGenerating video...\n\n 0%| | 0/89 [00:00<?, ?it/s]\n\n 1%|1 | 1/89 [00:00<01:25, 1.03it/s]\n\n 2%|2 | 2/89 [00:01<01:25, 1.02it/s]\n\n 3%|3 | 3/89 [00:02<01:23, 1.03it/s]\n\n 4%|4 | 4/89 [00:03<01:21, 1.04it/s]\n\n 6%|5 | 5/89 [00:04<01:20, 1.04it/s]\n\n 7%|6 | 6/89 [00:05<01:19, 1.05it/s]\n\n 8%|7 | 7/89 [00:06<01:17, 1.05it/s]\n\n 9%|8 | 8/89 [00:07<01:16, 1.06it/s]\n\n 10%|# | 9/89 [00:08<01:15, 1.06it/s]\n\n 11%|#1 | 10/89 [00:09<01:14, 1.06it/s]\n\n 12%|#2 | 11/89 [00:10<01:13, 1.06it/s]\n\n 13%|#3 | 12/89 [00:11<01:12, 1.06it/s]\n\n 15%|#4 | 13/89 [00:12<01:11, 1.06it/s]\n\n 16%|#5 | 14/89 [00:13<01:10, 1.06it/s]\n\n 17%|#6 | 15/89 [00:14<01:10, 1.05it/s]\n\n 18%|#7 | 16/89 [00:15<01:09, 1.05it/s]\n\n 19%|#9 | 17/89 [00:16<01:08, 1.04it/s]\n\n 20%|## | 18/89 [00:17<01:08, 1.04it/s]\n\n 21%|##1 | 19/89 [00:18<01:07, 1.04it/s]\n\n 22%|##2 | 20/89 [00:19<01:06, 1.03it/s]\n\n 24%|##3 | 21/89 [00:20<01:06, 1.03it/s]\n\n 25%|##4 | 22/89 [00:21<01:04, 1.03it/s]\n\n 26%|##5 | 23/89 [00:22<01:03, 1.04it/s]\n\n 27%|##6 | 24/89 [00:22<01:02, 1.03it/s]\n\n 28%|##8 | 25/89 [00:23<01:02, 1.03it/s]\n\n 29%|##9 | 26/89 [00:24<01:01, 1.03it/s]\n\n 30%|### | 27/89 [00:25<01:00, 1.02it/s]\n\n 31%|###1 | 28/89 [00:26<00:59, 1.02it/s]\n\n 33%|###2 | 29/89 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1.22it/s]\n\n 81%|######## | 72/89 [01:06<00:13, 1.23it/s]\n\n 82%|########2 | 73/89 [01:07<00:12, 1.23it/s]\n\n 83%|########3 | 74/89 [01:08<00:12, 1.24it/s]\n\n 84%|########4 | 75/89 [01:09<00:11, 1.26it/s]\n\n 85%|########5 | 76/89 [01:10<00:10, 1.27it/s]\n\n 87%|########6 | 77/89 [01:10<00:09, 1.29it/s]\n\n 88%|########7 | 78/89 [01:11<00:08, 1.30it/s]\n\n 89%|########8 | 79/89 [01:12<00:07, 1.30it/s]\n\n 90%|########9 | 80/89 [01:13<00:06, 1.31it/s]\n\n 91%|#########1| 81/89 [01:13<00:06, 1.33it/s]\n\n 92%|#########2| 82/89 [01:14<00:05, 1.34it/s]\n\n 93%|#########3| 83/89 [01:15<00:04, 1.35it/s]\n\n 94%|#########4| 84/89 [01:15<00:03, 1.36it/s]\n\n 96%|#########5| 85/89 [01:16<00:02, 1.37it/s]\n\n 97%|#########6| 86/89 [01:17<00:02, 1.36it/s]\n\n 98%|#########7| 87/89 [01:18<00:01, 1.36it/s]\n\n 99%|#########8| 88/89 [01:18<00:00, 1.36it/s]\n\n100%|##########| 89/89 [01:19<00:00, 1.35it/s]\n\n100%|##########| 89/89 [01:19<00:00, 1.12it/s]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/7dc1b18b-dc81-4370-b097-917625180b37/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fx3udaruafe5hex3pqm3l25lgm", "cancel": "https://api.replicate.com/v1/predictions/fx3udaruafe5hex3pqm3l25lgm/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Image 0/90 | Current loss: 0.9352552890777588 Image 10/90 | Current loss: 0.8618043661117554 Image 20/90 | Current loss: 0.8395847678184509 Image 30/90 | Current loss: 0.8301098346710205 Image 40/90 | Current loss: 0.7962118983268738 Image 50/90 | Current loss: 0.7918789982795715 Image 60/90 | Current loss: 0.7814754247665405 Image 70/90 | Current loss: 0.7917299270629883 Image 80/90 | Current loss: 0.7928383946418762 Generating video... 0%| | 0/89 [00:00<?, ?it/s] 1%|1 | 1/89 [00:00<01:25, 1.03it/s] 2%|2 | 2/89 [00:01<01:25, 1.02it/s] 3%|3 | 3/89 [00:02<01:23, 1.03it/s] 4%|4 | 4/89 [00:03<01:21, 1.04it/s] 6%|5 | 5/89 [00:04<01:20, 1.04it/s] 7%|6 | 6/89 [00:05<01:19, 1.05it/s] 8%|7 | 7/89 [00:06<01:17, 1.05it/s] 9%|8 | 8/89 [00:07<01:16, 1.06it/s] 10%|# | 9/89 [00:08<01:15, 1.06it/s] 11%|#1 | 10/89 [00:09<01:14, 1.06it/s] 12%|#2 | 11/89 [00:10<01:13, 1.06it/s] 13%|#3 | 12/89 [00:11<01:12, 1.06it/s] 15%|#4 | 13/89 [00:12<01:11, 1.06it/s] 16%|#5 | 14/89 [00:13<01:10, 1.06it/s] 17%|#6 | 15/89 [00:14<01:10, 1.05it/s] 18%|#7 | 16/89 [00:15<01:09, 1.05it/s] 19%|#9 | 17/89 [00:16<01:08, 1.04it/s] 20%|## | 18/89 [00:17<01:08, 1.04it/s] 21%|##1 | 19/89 [00:18<01:07, 1.04it/s] 22%|##2 | 20/89 [00:19<01:06, 1.03it/s] 24%|##3 | 21/89 [00:20<01:06, 1.03it/s] 25%|##4 | 22/89 [00:21<01:04, 1.03it/s] 26%|##5 | 23/89 [00:22<01:03, 1.04it/s] 27%|##6 | 24/89 [00:22<01:02, 1.03it/s] 28%|##8 | 25/89 [00:23<01:02, 1.03it/s] 29%|##9 | 26/89 [00:24<01:01, 1.03it/s] 30%|### | 27/89 [00:25<01:00, 1.02it/s] 31%|###1 | 28/89 [00:26<00:59, 1.02it/s] 33%|###2 | 29/89 [00:27<00:58, 1.02it/s] 34%|###3 | 30/89 [00:28<00:57, 1.02it/s] 35%|###4 | 31/89 [00:29<00:56, 1.03it/s] 36%|###5 | 32/89 [00:30<00:55, 1.03it/s] 37%|###7 | 33/89 [00:31<00:54, 1.03it/s] 38%|###8 | 34/89 [00:32<00:53, 1.03it/s] 39%|###9 | 35/89 [00:33<00:52, 1.03it/s] 40%|#### | 36/89 [00:34<00:52, 1.01it/s] 42%|####1 | 37/89 [00:35<00:51, 1.01it/s] 43%|####2 | 38/89 [00:36<00:50, 1.01it/s] 44%|####3 | 39/89 [00:37<00:49, 1.01it/s] 45%|####4 | 40/89 [00:38<00:48, 1.01it/s] 46%|####6 | 41/89 [00:39<00:47, 1.01it/s] 47%|####7 | 42/89 [00:40<00:46, 1.01it/s] 48%|####8 | 43/89 [00:41<00:45, 1.01it/s] 49%|####9 | 44/89 [00:42<00:44, 1.01it/s] 51%|##### | 45/89 [00:43<00:43, 1.01it/s] 52%|#####1 | 46/89 [00:44<00:42, 1.02it/s] 53%|#####2 | 47/89 [00:45<00:40, 1.03it/s] 54%|#####3 | 48/89 [00:46<00:39, 1.04it/s] 55%|#####5 | 49/89 [00:47<00:37, 1.06it/s] 56%|#####6 | 50/89 [00:48<00:36, 1.07it/s] 57%|#####7 | 51/89 [00:49<00:35, 1.08it/s] 58%|#####8 | 52/89 [00:50<00:33, 1.10it/s] 60%|#####9 | 53/89 [00:50<00:32, 1.11it/s] 61%|###### | 54/89 [00:51<00:31, 1.12it/s] 62%|######1 | 55/89 [00:52<00:30, 1.13it/s] 63%|######2 | 56/89 [00:53<00:28, 1.14it/s] 64%|######4 | 57/89 [00:54<00:27, 1.15it/s] 65%|######5 | 58/89 [00:55<00:26, 1.16it/s] 66%|######6 | 59/89 [00:56<00:25, 1.16it/s] 67%|######7 | 60/89 [00:56<00:24, 1.16it/s] 69%|######8 | 61/89 [00:57<00:23, 1.17it/s] 70%|######9 | 62/89 [00:58<00:22, 1.18it/s] 71%|####### | 63/89 [00:59<00:21, 1.19it/s] 72%|#######1 | 64/89 [01:00<00:20, 1.19it/s] 73%|#######3 | 65/89 [01:01<00:20, 1.19it/s] 74%|#######4 | 66/89 [01:01<00:19, 1.20it/s] 75%|#######5 | 67/89 [01:02<00:18, 1.20it/s] 76%|#######6 | 68/89 [01:03<00:17, 1.20it/s] 78%|#######7 | 69/89 [01:04<00:16, 1.21it/s] 79%|#######8 | 70/89 [01:05<00:15, 1.22it/s] 80%|#######9 | 71/89 [01:06<00:14, 1.22it/s] 81%|######## | 72/89 [01:06<00:13, 1.23it/s] 82%|########2 | 73/89 [01:07<00:12, 1.23it/s] 83%|########3 | 74/89 [01:08<00:12, 1.24it/s] 84%|########4 | 75/89 [01:09<00:11, 1.26it/s] 85%|########5 | 76/89 [01:10<00:10, 1.27it/s] 87%|########6 | 77/89 [01:10<00:09, 1.29it/s] 88%|########7 | 78/89 [01:11<00:08, 1.30it/s] 89%|########8 | 79/89 [01:12<00:07, 1.30it/s] 90%|########9 | 80/89 [01:13<00:06, 1.31it/s] 91%|#########1| 81/89 [01:13<00:06, 1.33it/s] 92%|#########2| 82/89 [01:14<00:05, 1.34it/s] 93%|#########3| 83/89 [01:15<00:04, 1.35it/s] 94%|#########4| 84/89 [01:15<00:03, 1.36it/s] 96%|#########5| 85/89 [01:16<00:02, 1.37it/s] 97%|#########6| 86/89 [01:17<00:02, 1.36it/s] 98%|#########7| 87/89 [01:18<00:01, 1.36it/s] 99%|#########8| 88/89 [01:18<00:00, 1.36it/s] 100%|##########| 89/89 [01:19<00:00, 1.35it/s] 100%|##########| 89/89 [01:19<00:00, 1.12it/s] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7IDvbzr2tnairh5pmgxettxkz2nzuStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- 80
- text
- human becomes tree
- steps
- 90
- model_name
- FFHQ
- output_type
- mp4
- video_length
- 10
{ "seed": 80, "text": "human becomes tree", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: 80, text: "human becomes tree", steps: 90, model_name: "FFHQ", output_type: "mp4", video_length: 10 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": 80, "text": "human becomes tree", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": 80, "text": "human becomes tree", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T17:58:57.790699Z", "created_at": "2021-10-17T17:55:08.820509Z", "data_removed": false, "error": null, "id": "vbzr2tnairh5pmgxettxkz2nzu", "input": { "seed": 80, "text": "human becomes tree", "steps": 90, "model_name": "FFHQ", "output_type": "mp4", "video_length": 10 }, "logs": "Image 0/90 | Current loss: 0.9353926181793213\nImage 10/90 | Current loss: 0.8409316539764404\nImage 20/90 | Current loss: 0.8277016878128052\nImage 30/90 | Current loss: 0.7658294439315796\nImage 40/90 | Current loss: 0.7692580819129944\nImage 50/90 | Current loss: 0.7613972425460815\nImage 60/90 | Current loss: 0.7393311262130737\nImage 70/90 | Current loss: 0.7222804427146912\nImage 80/90 | Current loss: 0.7223321199417114\nGenerating video...\n\n 0%| | 0/89 [00:00<?, ?it/s]\n\n 1%|1 | 1/89 [00:01<01:30, 1.03s/it]\n\n 2%|2 | 2/89 [00:02<01:29, 1.03s/it]\n\n 3%|3 | 3/89 [00:03<01:28, 1.02s/it]\n\n 4%|4 | 4/89 [00:04<01:26, 1.02s/it]\n\n 6%|5 | 5/89 [00:05<01:26, 1.02s/it]\n\n 7%|6 | 6/89 [00:06<01:24, 1.02s/it]\n\n 8%|7 | 7/89 [00:07<01:23, 1.02s/it]\n\n 9%|8 | 8/89 [00:08<01:21, 1.01s/it]\n\n 10%|# | 9/89 [00:09<01:20, 1.01s/it]\n\n 11%|#1 | 10/89 [00:10<01:19, 1.01s/it]\n\n 12%|#2 | 11/89 [00:11<01:18, 1.01s/it]\n\n 13%|#3 | 12/89 [00:12<01:17, 1.00s/it]\n\n 15%|#4 | 13/89 [00:13<01:15, 1.01it/s]\n\n 16%|#5 | 14/89 [00:14<01:13, 1.01it/s]\n\n 17%|#6 | 15/89 [00:15<01:12, 1.02it/s]\n\n 18%|#7 | 16/89 [00:15<01:10, 1.03it/s]\n\n 19%|#9 | 17/89 [00:16<01:08, 1.05it/s]\n\n 20%|## | 18/89 [00:17<01:06, 1.06it/s]\n\n 21%|##1 | 19/89 [00:18<01:04, 1.08it/s]\n\n 22%|##2 | 20/89 [00:19<01:03, 1.09it/s]\n\n 24%|##3 | 21/89 [00:20<01:01, 1.11it/s]\n\n 25%|##4 | 22/89 [00:21<00:59, 1.13it/s]\n\n 26%|##5 | 23/89 [00:22<00:57, 1.15it/s]\n\n 27%|##6 | 24/89 [00:23<00:56, 1.16it/s]\n\n 28%|##8 | 25/89 [00:23<00:54, 1.18it/s]\n\n 29%|##9 | 26/89 [00:24<00:52, 1.19it/s]\n\n 30%|### | 27/89 [00:25<00:51, 1.21it/s]\n\n 31%|###1 | 28/89 [00:26<00:49, 1.22it/s]\n\n 33%|###2 | 29/89 [00:27<00:48, 1.24it/s]\n\n 34%|###3 | 30/89 [00:27<00:47, 1.25it/s]\n\n 35%|###4 | 31/89 [00:28<00:45, 1.27it/s]\n\n 36%|###5 | 32/89 [00:29<00:44, 1.27it/s]\n\n 37%|###7 | 33/89 [00:30<00:43, 1.27it/s]\n\n 38%|###8 | 34/89 [00:30<00:43, 1.28it/s]\n\n 39%|###9 | 35/89 [00:31<00:42, 1.28it/s]\n\n 40%|#### | 36/89 [00:32<00:41, 1.27it/s]\n\n 42%|####1 | 37/89 [00:33<00:41, 1.26it/s]\n\n 43%|####2 | 38/89 [00:34<00:40, 1.25it/s]\n\n 44%|####3 | 39/89 [00:34<00:40, 1.24it/s]\n\n 45%|####4 | 40/89 [00:35<00:39, 1.23it/s]\n\n 46%|####6 | 41/89 [00:36<00:39, 1.23it/s]\n\n 47%|####7 | 42/89 [00:37<00:38, 1.23it/s]\n\n 48%|####8 | 43/89 [00:38<00:37, 1.23it/s]\n\n 49%|####9 | 44/89 [00:39<00:36, 1.23it/s]\n\n 51%|##### | 45/89 [00:39<00:35, 1.23it/s]\n\n 52%|#####1 | 46/89 [00:40<00:34, 1.23it/s]\n\n 53%|#####2 | 47/89 [00:41<00:34, 1.23it/s]\n\n 54%|#####3 | 48/89 [00:42<00:33, 1.24it/s]\n\n 55%|#####5 | 49/89 [00:43<00:32, 1.24it/s]\n\n 56%|#####6 | 50/89 [00:43<00:31, 1.24it/s]\n\n 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1.33it/s]\n\n 81%|######## | 72/89 [01:00<00:12, 1.33it/s]\n\n 82%|########2 | 73/89 [01:01<00:11, 1.35it/s]\n\n 83%|########3 | 74/89 [01:02<00:11, 1.35it/s]\n\n 84%|########4 | 75/89 [01:02<00:10, 1.36it/s]\n\n 85%|########5 | 76/89 [01:03<00:09, 1.35it/s]\n\n 87%|########6 | 77/89 [01:04<00:08, 1.34it/s]\n\n 88%|########7 | 78/89 [01:05<00:08, 1.35it/s]\n\n 89%|########8 | 79/89 [01:05<00:07, 1.35it/s]\n\n 90%|########9 | 80/89 [01:06<00:06, 1.35it/s]\n\n 91%|#########1| 81/89 [01:07<00:05, 1.35it/s]\n\n 92%|#########2| 82/89 [01:07<00:05, 1.35it/s]\n\n 93%|#########3| 83/89 [01:08<00:04, 1.34it/s]\n\n 94%|#########4| 84/89 [01:09<00:03, 1.35it/s]\n\n 96%|#########5| 85/89 [01:10<00:02, 1.34it/s]\n\n 97%|#########6| 86/89 [01:10<00:02, 1.34it/s]\n\n 98%|#########7| 87/89 [01:11<00:01, 1.34it/s]\n\n 99%|#########8| 88/89 [01:12<00:00, 1.34it/s]\n\n100%|##########| 89/89 [01:13<00:00, 1.34it/s]\n\n100%|##########| 89/89 [01:13<00:00, 1.22it/s]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/a3d3c003-5baf-4175-a2ff-0eaf59169771/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vbzr2tnairh5pmgxettxkz2nzu", "cancel": "https://api.replicate.com/v1/predictions/vbzr2tnairh5pmgxettxkz2nzu/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Image 0/90 | Current loss: 0.9353926181793213 Image 10/90 | Current loss: 0.8409316539764404 Image 20/90 | Current loss: 0.8277016878128052 Image 30/90 | Current loss: 0.7658294439315796 Image 40/90 | Current loss: 0.7692580819129944 Image 50/90 | Current loss: 0.7613972425460815 Image 60/90 | Current loss: 0.7393311262130737 Image 70/90 | Current loss: 0.7222804427146912 Image 80/90 | Current loss: 0.7223321199417114 Generating video... 0%| | 0/89 [00:00<?, ?it/s] 1%|1 | 1/89 [00:01<01:30, 1.03s/it] 2%|2 | 2/89 [00:02<01:29, 1.03s/it] 3%|3 | 3/89 [00:03<01:28, 1.02s/it] 4%|4 | 4/89 [00:04<01:26, 1.02s/it] 6%|5 | 5/89 [00:05<01:26, 1.02s/it] 7%|6 | 6/89 [00:06<01:24, 1.02s/it] 8%|7 | 7/89 [00:07<01:23, 1.02s/it] 9%|8 | 8/89 [00:08<01:21, 1.01s/it] 10%|# | 9/89 [00:09<01:20, 1.01s/it] 11%|#1 | 10/89 [00:10<01:19, 1.01s/it] 12%|#2 | 11/89 [00:11<01:18, 1.01s/it] 13%|#3 | 12/89 [00:12<01:17, 1.00s/it] 15%|#4 | 13/89 [00:13<01:15, 1.01it/s] 16%|#5 | 14/89 [00:14<01:13, 1.01it/s] 17%|#6 | 15/89 [00:15<01:12, 1.02it/s] 18%|#7 | 16/89 [00:15<01:10, 1.03it/s] 19%|#9 | 17/89 [00:16<01:08, 1.05it/s] 20%|## | 18/89 [00:17<01:06, 1.06it/s] 21%|##1 | 19/89 [00:18<01:04, 1.08it/s] 22%|##2 | 20/89 [00:19<01:03, 1.09it/s] 24%|##3 | 21/89 [00:20<01:01, 1.11it/s] 25%|##4 | 22/89 [00:21<00:59, 1.13it/s] 26%|##5 | 23/89 [00:22<00:57, 1.15it/s] 27%|##6 | 24/89 [00:23<00:56, 1.16it/s] 28%|##8 | 25/89 [00:23<00:54, 1.18it/s] 29%|##9 | 26/89 [00:24<00:52, 1.19it/s] 30%|### | 27/89 [00:25<00:51, 1.21it/s] 31%|###1 | 28/89 [00:26<00:49, 1.22it/s] 33%|###2 | 29/89 [00:27<00:48, 1.24it/s] 34%|###3 | 30/89 [00:27<00:47, 1.25it/s] 35%|###4 | 31/89 [00:28<00:45, 1.27it/s] 36%|###5 | 32/89 [00:29<00:44, 1.27it/s] 37%|###7 | 33/89 [00:30<00:43, 1.27it/s] 38%|###8 | 34/89 [00:30<00:43, 1.28it/s] 39%|###9 | 35/89 [00:31<00:42, 1.28it/s] 40%|#### | 36/89 [00:32<00:41, 1.27it/s] 42%|####1 | 37/89 [00:33<00:41, 1.26it/s] 43%|####2 | 38/89 [00:34<00:40, 1.25it/s] 44%|####3 | 39/89 [00:34<00:40, 1.24it/s] 45%|####4 | 40/89 [00:35<00:39, 1.23it/s] 46%|####6 | 41/89 [00:36<00:39, 1.23it/s] 47%|####7 | 42/89 [00:37<00:38, 1.23it/s] 48%|####8 | 43/89 [00:38<00:37, 1.23it/s] 49%|####9 | 44/89 [00:39<00:36, 1.23it/s] 51%|##### | 45/89 [00:39<00:35, 1.23it/s] 52%|#####1 | 46/89 [00:40<00:34, 1.23it/s] 53%|#####2 | 47/89 [00:41<00:34, 1.23it/s] 54%|#####3 | 48/89 [00:42<00:33, 1.24it/s] 55%|#####5 | 49/89 [00:43<00:32, 1.24it/s] 56%|#####6 | 50/89 [00:43<00:31, 1.24it/s] 57%|#####7 | 51/89 [00:44<00:30, 1.24it/s] 58%|#####8 | 52/89 [00:45<00:29, 1.25it/s] 60%|#####9 | 53/89 [00:46<00:28, 1.26it/s] 61%|###### | 54/89 [00:46<00:27, 1.27it/s] 62%|######1 | 55/89 [00:47<00:26, 1.28it/s] 63%|######2 | 56/89 [00:48<00:25, 1.28it/s] 64%|######4 | 57/89 [00:49<00:24, 1.28it/s] 65%|######5 | 58/89 [00:50<00:24, 1.29it/s] 66%|######6 | 59/89 [00:50<00:23, 1.30it/s] 67%|######7 | 60/89 [00:51<00:22, 1.30it/s] 69%|######8 | 61/89 [00:52<00:21, 1.31it/s] 70%|######9 | 62/89 [00:53<00:20, 1.31it/s] 71%|####### | 63/89 [00:53<00:19, 1.32it/s] 72%|#######1 | 64/89 [00:54<00:18, 1.32it/s] 73%|#######3 | 65/89 [00:55<00:18, 1.32it/s] 74%|#######4 | 66/89 [00:56<00:17, 1.33it/s] 75%|#######5 | 67/89 [00:56<00:16, 1.33it/s] 76%|#######6 | 68/89 [00:57<00:15, 1.34it/s] 78%|#######7 | 69/89 [00:58<00:14, 1.35it/s] 79%|#######8 | 70/89 [00:59<00:14, 1.34it/s] 80%|#######9 | 71/89 [00:59<00:13, 1.33it/s] 81%|######## | 72/89 [01:00<00:12, 1.33it/s] 82%|########2 | 73/89 [01:01<00:11, 1.35it/s] 83%|########3 | 74/89 [01:02<00:11, 1.35it/s] 84%|########4 | 75/89 [01:02<00:10, 1.36it/s] 85%|########5 | 76/89 [01:03<00:09, 1.35it/s] 87%|########6 | 77/89 [01:04<00:08, 1.34it/s] 88%|########7 | 78/89 [01:05<00:08, 1.35it/s] 89%|########8 | 79/89 [01:05<00:07, 1.35it/s] 90%|########9 | 80/89 [01:06<00:06, 1.35it/s] 91%|#########1| 81/89 [01:07<00:05, 1.35it/s] 92%|#########2| 82/89 [01:07<00:05, 1.35it/s] 93%|#########3| 83/89 [01:08<00:04, 1.34it/s] 94%|#########4| 84/89 [01:09<00:03, 1.35it/s] 96%|#########5| 85/89 [01:10<00:02, 1.34it/s] 97%|#########6| 86/89 [01:10<00:02, 1.34it/s] 98%|#########7| 87/89 [01:11<00:01, 1.34it/s] 99%|#########8| 88/89 [01:12<00:00, 1.34it/s] 100%|##########| 89/89 [01:13<00:00, 1.34it/s] 100%|##########| 89/89 [01:13<00:00, 1.22it/s] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7ID6e7o6fvpnzauxit37rqzo6kgcyStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- 8
- text
- tree cat
- steps
- 300
- model_name
- AFHQv2
- output_type
- mp4
- video_length
- 10
{ "seed": 8, "text": "tree cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: 8, text: "tree cat", steps: 300, model_name: "AFHQv2", output_type: "mp4", video_length: 10 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": 8, "text": "tree cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": 8, "text": "tree cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T18:06:34.622443Z", "created_at": "2021-10-17T18:02:45.903199Z", "data_removed": false, "error": null, "id": "6e7o6fvpnzauxit37rqzo6kgcy", "input": { "seed": 8, "text": "tree cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }, "logs": "Image 0/300 | Current loss: 0.8837962746620178\nImage 10/300 | Current loss: 0.8086897730827332\nImage 20/300 | Current loss: 0.7865405082702637\nImage 30/300 | Current loss: 0.7446789741516113\nImage 40/300 | Current loss: 0.7557783722877502\nImage 50/300 | Current loss: 0.7345591187477112\nImage 60/300 | Current loss: 0.7286163568496704\nImage 70/300 | Current loss: 0.7147706747055054\nImage 80/300 | Current loss: 0.7194565534591675\nImage 90/300 | Current loss: 0.7086811065673828\nImage 100/300 | Current loss: 0.7125771045684814\nImage 110/300 | Current loss: 0.7095630168914795\nImage 120/300 | Current loss: 0.704910159111023\nImage 130/300 | Current loss: 0.6987838745117188\nImage 140/300 | Current loss: 0.7035465836524963\nImage 150/300 | Current loss: 0.6973164081573486\nImage 160/300 | Current loss: 0.7001639604568481\nImage 170/300 | Current loss: 0.697624921798706\nImage 180/300 | Current loss: 0.6981649398803711\nImage 190/300 | Current loss: 0.701528787612915\nImage 200/300 | Current loss: 0.6874167919158936\nImage 210/300 | Current loss: 0.6903388500213623\nImage 220/300 | Current loss: 0.6843109130859375\nImage 230/300 | Current loss: 0.6913120150566101\nImage 240/300 | Current loss: 0.6890392303466797\nImage 250/300 | Current loss: 0.6821942329406738\nImage 260/300 | Current loss: 0.6833314299583435\nImage 270/300 | Current loss: 0.6869218349456787\nImage 280/300 | Current loss: 0.6883680820465088\nImage 290/300 | Current loss: 0.677106499671936\nGenerating video...\n\n 0%| | 0/299 [00:00<?, ?it/s]\n\n 0%| | 1/299 [00:00<00:56, 5.24it/s]\n\n 1%| | 2/299 [00:00<00:56, 5.23it/s]\n\n 1%|1 | 3/299 [00:00<00:56, 5.26it/s]\n\n 1%|1 | 4/299 [00:00<00:56, 5.25it/s]\n\n 2%|1 | 5/299 [00:00<00:55, 5.26it/s]\n\n 2%|2 | 6/299 [00:01<00:55, 5.24it/s]\n\n 2%|2 | 7/299 [00:01<00:55, 5.23it/s]\n\n 3%|2 | 8/299 [00:01<00:55, 5.27it/s]\n\n 3%|3 | 9/299 [00:01<00:54, 5.29it/s]\n\n 3%|3 | 10/299 [00:01<00:54, 5.33it/s]\n\n 4%|3 | 11/299 [00:02<00:53, 5.36it/s]\n\n 4%|4 | 12/299 [00:02<00:53, 5.37it/s]\n\n 4%|4 | 13/299 [00:02<00:52, 5.42it/s]\n\n 5%|4 | 14/299 [00:02<00:52, 5.45it/s]\n\n 5%|5 | 15/299 [00:02<00:51, 5.52it/s]\n\n 5%|5 | 16/299 [00:02<00:50, 5.59it/s]\n\n 6%|5 | 17/299 [00:03<00:49, 5.65it/s]\n\n 6%|6 | 18/299 [00:03<00:49, 5.73it/s]\n\n 6%|6 | 19/299 [00:03<00:48, 5.81it/s]\n\n 7%|6 | 20/299 [00:03<00:47, 5.85it/s]\n\n 7%|7 | 21/299 [00:03<00:46, 5.95it/s]\n\n 7%|7 | 22/299 [00:03<00:46, 6.01it/s]\n\n 8%|7 | 23/299 [00:04<00:46, 5.99it/s]\n\n 8%|8 | 24/299 [00:04<00:45, 5.99it/s]\n\n 8%|8 | 25/299 [00:04<00:45, 6.03it/s]\n\n 9%|8 | 26/299 [00:04<00:45, 6.05it/s]\n\n 9%|9 | 27/299 [00:04<00:44, 6.11it/s]\n\n 9%|9 | 28/299 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257/299 [00:39<00:06, 6.24it/s]\n\n 86%|########6 | 258/299 [00:39<00:06, 6.33it/s]\n\n 87%|########6 | 259/299 [00:40<00:06, 6.36it/s]\n\n 87%|########6 | 260/299 [00:40<00:06, 6.33it/s]\n\n 87%|########7 | 261/299 [00:40<00:05, 6.39it/s]\n\n 88%|########7 | 262/299 [00:40<00:05, 6.42it/s]\n\n 88%|########7 | 263/299 [00:40<00:05, 6.43it/s]\n\n 88%|########8 | 264/299 [00:40<00:05, 6.45it/s]\n\n 89%|########8 | 265/299 [00:41<00:05, 6.32it/s]\n\n 89%|########8 | 266/299 [00:41<00:05, 6.33it/s]\n\n 89%|########9 | 267/299 [00:41<00:05, 6.35it/s]\n\n 90%|########9 | 268/299 [00:41<00:04, 6.36it/s]\n\n 90%|########9 | 269/299 [00:41<00:04, 6.36it/s]\n\n 90%|######### | 270/299 [00:41<00:04, 6.39it/s]\n\n 91%|######### | 271/299 [00:41<00:04, 6.41it/s]\n\n 91%|######### | 272/299 [00:42<00:04, 6.41it/s]\n\n 91%|#########1| 273/299 [00:42<00:04, 6.36it/s]\n\n 92%|#########1| 274/299 [00:42<00:03, 6.37it/s]\n\n 92%|#########1| 275/299 [00:42<00:03, 6.33it/s]\n\n 92%|#########2| 276/299 [00:42<00:03, 6.27it/s]\n\n 93%|#########2| 277/299 [00:42<00:03, 6.20it/s]\n\n 93%|#########2| 278/299 [00:43<00:03, 6.22it/s]\n\n 93%|#########3| 279/299 [00:43<00:03, 6.24it/s]\n\n 94%|#########3| 280/299 [00:43<00:03, 6.13it/s]\n\n 94%|#########3| 281/299 [00:43<00:02, 6.17it/s]\n\n 94%|#########4| 282/299 [00:43<00:02, 6.22it/s]\n\n 95%|#########4| 283/299 [00:43<00:02, 6.24it/s]\n\n 95%|#########4| 284/299 [00:44<00:02, 6.25it/s]\n\n 95%|#########5| 285/299 [00:44<00:02, 6.26it/s]\n\n 96%|#########5| 286/299 [00:44<00:02, 6.27it/s]\n\n 96%|#########5| 287/299 [00:44<00:01, 6.27it/s]\n\n 96%|#########6| 288/299 [00:44<00:01, 6.28it/s]\n\n 97%|#########6| 289/299 [00:44<00:01, 6.29it/s]\n\n 97%|#########6| 290/299 [00:45<00:01, 6.30it/s]\n\n 97%|#########7| 291/299 [00:45<00:01, 6.29it/s]\n\n 98%|#########7| 292/299 [00:45<00:01, 6.30it/s]\n\n 98%|#########7| 293/299 [00:45<00:00, 6.27it/s]\n\n 98%|#########8| 294/299 [00:45<00:00, 6.26it/s]\n\n 99%|#########8| 295/299 [00:45<00:00, 6.26it/s]\n\n 99%|#########8| 296/299 [00:45<00:00, 6.15it/s]\n\n 99%|#########9| 297/299 [00:46<00:00, 6.15it/s]\n\n100%|#########9| 298/299 [00:46<00:00, 6.09it/s]\n\n100%|##########| 299/299 [00:46<00:00, 6.15it/s]\n\n100%|##########| 299/299 [00:46<00:00, 6.44it/s]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/afa12e83-c062-445d-b6df-44940237d8dd/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6e7o6fvpnzauxit37rqzo6kgcy", "cancel": "https://api.replicate.com/v1/predictions/6e7o6fvpnzauxit37rqzo6kgcy/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Image 0/300 | Current loss: 0.8837962746620178 Image 10/300 | Current loss: 0.8086897730827332 Image 20/300 | Current loss: 0.7865405082702637 Image 30/300 | Current loss: 0.7446789741516113 Image 40/300 | Current loss: 0.7557783722877502 Image 50/300 | Current loss: 0.7345591187477112 Image 60/300 | Current loss: 0.7286163568496704 Image 70/300 | Current loss: 0.7147706747055054 Image 80/300 | Current loss: 0.7194565534591675 Image 90/300 | Current loss: 0.7086811065673828 Image 100/300 | Current loss: 0.7125771045684814 Image 110/300 | Current loss: 0.7095630168914795 Image 120/300 | Current loss: 0.704910159111023 Image 130/300 | Current loss: 0.6987838745117188 Image 140/300 | Current loss: 0.7035465836524963 Image 150/300 | Current loss: 0.6973164081573486 Image 160/300 | Current loss: 0.7001639604568481 Image 170/300 | Current loss: 0.697624921798706 Image 180/300 | Current loss: 0.6981649398803711 Image 190/300 | Current loss: 0.701528787612915 Image 200/300 | Current loss: 0.6874167919158936 Image 210/300 | Current loss: 0.6903388500213623 Image 220/300 | Current loss: 0.6843109130859375 Image 230/300 | Current loss: 0.6913120150566101 Image 240/300 | Current loss: 0.6890392303466797 Image 250/300 | Current loss: 0.6821942329406738 Image 260/300 | Current loss: 0.6833314299583435 Image 270/300 | Current loss: 0.6869218349456787 Image 280/300 | Current loss: 0.6883680820465088 Image 290/300 | Current loss: 0.677106499671936 Generating video... 0%| | 0/299 [00:00<?, ?it/s] 0%| | 1/299 [00:00<00:56, 5.24it/s] 1%| | 2/299 [00:00<00:56, 5.23it/s] 1%|1 | 3/299 [00:00<00:56, 5.26it/s] 1%|1 | 4/299 [00:00<00:56, 5.25it/s] 2%|1 | 5/299 [00:00<00:55, 5.26it/s] 2%|2 | 6/299 [00:01<00:55, 5.24it/s] 2%|2 | 7/299 [00:01<00:55, 5.23it/s] 3%|2 | 8/299 [00:01<00:55, 5.27it/s] 3%|3 | 9/299 [00:01<00:54, 5.29it/s] 3%|3 | 10/299 [00:01<00:54, 5.33it/s] 4%|3 | 11/299 [00:02<00:53, 5.36it/s] 4%|4 | 12/299 [00:02<00:53, 5.37it/s] 4%|4 | 13/299 [00:02<00:52, 5.42it/s] 5%|4 | 14/299 [00:02<00:52, 5.45it/s] 5%|5 | 15/299 [00:02<00:51, 5.52it/s] 5%|5 | 16/299 [00:02<00:50, 5.59it/s] 6%|5 | 17/299 [00:03<00:49, 5.65it/s] 6%|6 | 18/299 [00:03<00:49, 5.73it/s] 6%|6 | 19/299 [00:03<00:48, 5.81it/s] 7%|6 | 20/299 [00:03<00:47, 5.85it/s] 7%|7 | 21/299 [00:03<00:46, 5.95it/s] 7%|7 | 22/299 [00:03<00:46, 6.01it/s] 8%|7 | 23/299 [00:04<00:46, 5.99it/s] 8%|8 | 24/299 [00:04<00:45, 5.99it/s] 8%|8 | 25/299 [00:04<00:45, 6.03it/s] 9%|8 | 26/299 [00:04<00:45, 6.05it/s] 9%|9 | 27/299 [00:04<00:44, 6.11it/s] 9%|9 | 28/299 [00:04<00:44, 6.14it/s] 10%|9 | 29/299 [00:05<00:44, 6.03it/s] 10%|# | 30/299 [00:05<00:44, 6.08it/s] 10%|# | 31/299 [00:05<00:43, 6.11it/s] 11%|# | 32/299 [00:05<00:44, 5.97it/s] 11%|#1 | 33/299 [00:05<00:44, 6.00it/s] 11%|#1 | 34/299 [00:05<00:43, 6.11it/s] 12%|#1 | 35/299 [00:06<00:43, 6.12it/s] 12%|#2 | 36/299 [00:06<00:43, 6.09it/s] 12%|#2 | 37/299 [00:06<00:42, 6.17it/s] 13%|#2 | 38/299 [00:06<00:42, 6.21it/s] 13%|#3 | 39/299 [00:06<00:41, 6.27it/s] 13%|#3 | 40/299 [00:06<00:41, 6.30it/s] 14%|#3 | 41/299 [00:07<00:40, 6.33it/s] 14%|#4 | 42/299 [00:07<00:40, 6.38it/s] 14%|#4 | 43/299 [00:07<00:39, 6.40it/s] 15%|#4 | 44/299 [00:07<00:39, 6.46it/s] 15%|#5 | 45/299 [00:07<00:39, 6.50it/s] 15%|#5 | 46/299 [00:07<00:38, 6.54it/s] 16%|#5 | 47/299 [00:07<00:38, 6.54it/s] 16%|#6 | 48/299 [00:08<00:38, 6.56it/s] 16%|#6 | 49/299 [00:08<00:38, 6.56it/s] 17%|#6 | 50/299 [00:08<00:38, 6.55it/s] 17%|#7 | 51/299 [00:08<00:37, 6.58it/s] 17%|#7 | 52/299 [00:08<00:37, 6.61it/s] 18%|#7 | 53/299 [00:08<00:37, 6.54it/s] 18%|#8 | 54/299 [00:09<00:37, 6.57it/s] 18%|#8 | 55/299 [00:09<00:36, 6.63it/s] 19%|#8 | 56/299 [00:09<00:36, 6.62it/s] 19%|#9 | 57/299 [00:09<00:36, 6.65it/s] 19%|#9 | 58/299 [00:09<00:36, 6.67it/s] 20%|#9 | 59/299 [00:09<00:35, 6.68it/s] 20%|## | 60/299 [00:09<00:35, 6.74it/s] 20%|## | 61/299 [00:10<00:35, 6.74it/s] 21%|## | 62/299 [00:10<00:35, 6.77it/s] 21%|##1 | 63/299 [00:10<00:35, 6.73it/s] 21%|##1 | 64/299 [00:10<00:34, 6.73it/s] 22%|##1 | 65/299 [00:10<00:34, 6.73it/s] 22%|##2 | 66/299 [00:10<00:34, 6.80it/s] 22%|##2 | 67/299 [00:10<00:33, 6.85it/s] 23%|##2 | 68/299 [00:11<00:33, 6.85it/s] 23%|##3 | 69/299 [00:11<00:33, 6.85it/s] 23%|##3 | 70/299 [00:11<00:33, 6.88it/s] 24%|##3 | 71/299 [00:11<00:33, 6.83it/s] 24%|##4 | 72/299 [00:11<00:33, 6.87it/s] 24%|##4 | 73/299 [00:11<00:32, 6.93it/s] 25%|##4 | 74/299 [00:11<00:32, 6.93it/s] 25%|##5 | 75/299 [00:12<00:32, 6.92it/s] 25%|##5 | 76/299 [00:12<00:32, 6.92it/s] 26%|##5 | 77/299 [00:12<00:32, 6.91it/s] 26%|##6 | 78/299 [00:12<00:31, 6.94it/s] 26%|##6 | 79/299 [00:12<00:31, 6.90it/s] 27%|##6 | 80/299 [00:12<00:31, 6.93it/s] 27%|##7 | 81/299 [00:12<00:31, 6.99it/s] 27%|##7 | 82/299 [00:13<00:31, 6.84it/s] 28%|##7 | 83/299 [00:13<00:31, 6.81it/s] 28%|##8 | 84/299 [00:13<00:31, 6.87it/s] 28%|##8 | 85/299 [00:13<00:31, 6.90it/s] 29%|##8 | 86/299 [00:13<00:30, 6.88it/s] 29%|##9 | 87/299 [00:13<00:30, 6.90it/s] 29%|##9 | 88/299 [00:14<00:30, 6.94it/s] 30%|##9 | 89/299 [00:14<00:30, 6.98it/s] 30%|### | 90/299 [00:14<00:30, 6.94it/s] 30%|### | 91/299 [00:14<00:30, 6.89it/s] 31%|### | 92/299 [00:14<00:30, 6.87it/s] 31%|###1 | 93/299 [00:14<00:29, 6.91it/s] 31%|###1 | 94/299 [00:14<00:30, 6.64it/s] 32%|###1 | 95/299 [00:15<00:30, 6.69it/s] 32%|###2 | 96/299 [00:15<00:29, 6.79it/s] 32%|###2 | 97/299 [00:15<00:30, 6.67it/s] 33%|###2 | 98/299 [00:15<00:29, 6.73it/s] 33%|###3 | 99/299 [00:15<00:29, 6.83it/s] 33%|###3 | 100/299 [00:15<00:28, 6.89it/s] 34%|###3 | 101/299 [00:15<00:28, 6.94it/s] 34%|###4 | 102/299 [00:16<00:28, 6.98it/s] 34%|###4 | 103/299 [00:16<00:28, 6.91it/s] 35%|###4 | 104/299 [00:16<00:28, 6.88it/s] 35%|###5 | 105/299 [00:16<00:28, 6.92it/s] 35%|###5 | 106/299 [00:16<00:27, 6.93it/s] 36%|###5 | 107/299 [00:16<00:28, 6.79it/s] 36%|###6 | 108/299 [00:16<00:27, 6.83it/s] 36%|###6 | 109/299 [00:17<00:27, 6.84it/s] 37%|###6 | 110/299 [00:17<00:27, 6.87it/s] 37%|###7 | 111/299 [00:17<00:27, 6.73it/s] 37%|###7 | 112/299 [00:17<00:27, 6.79it/s] 38%|###7 | 113/299 [00:17<00:27, 6.81it/s] 38%|###8 | 114/299 [00:17<00:27, 6.85it/s] 38%|###8 | 115/299 [00:17<00:26, 6.84it/s] 39%|###8 | 116/299 [00:18<00:26, 6.84it/s] 39%|###9 | 117/299 [00:18<00:26, 6.84it/s] 39%|###9 | 118/299 [00:18<00:26, 6.84it/s] 40%|###9 | 119/299 [00:18<00:26, 6.82it/s] 40%|#### | 120/299 [00:18<00:26, 6.83it/s] 40%|#### | 121/299 [00:18<00:26, 6.83it/s] 41%|#### | 122/299 [00:18<00:25, 6.85it/s] 41%|####1 | 123/299 [00:19<00:25, 6.85it/s] 41%|####1 | 124/299 [00:19<00:25, 6.86it/s] 42%|####1 | 125/299 [00:19<00:25, 6.88it/s] 42%|####2 | 126/299 [00:19<00:25, 6.89it/s] 42%|####2 | 127/299 [00:19<00:25, 6.86it/s] 43%|####2 | 128/299 [00:19<00:24, 6.87it/s] 43%|####3 | 129/299 [00:20<00:24, 6.88it/s] 43%|####3 | 130/299 [00:20<00:24, 6.87it/s] 44%|####3 | 131/299 [00:20<00:24, 6.86it/s] 44%|####4 | 132/299 [00:20<00:24, 6.75it/s] 44%|####4 | 133/299 [00:20<00:24, 6.80it/s] 45%|####4 | 134/299 [00:20<00:24, 6.64it/s] 45%|####5 | 135/299 [00:20<00:24, 6.72it/s] 45%|####5 | 136/299 [00:21<00:24, 6.75it/s] 46%|####5 | 137/299 [00:21<00:23, 6.80it/s] 46%|####6 | 138/299 [00:21<00:24, 6.62it/s] 46%|####6 | 139/299 [00:21<00:23, 6.67it/s] 47%|####6 | 140/299 [00:21<00:23, 6.72it/s] 47%|####7 | 141/299 [00:21<00:23, 6.74it/s] 47%|####7 | 142/299 [00:21<00:23, 6.77it/s] 48%|####7 | 143/299 [00:22<00:23, 6.77it/s] 48%|####8 | 144/299 [00:22<00:22, 6.81it/s] 48%|####8 | 145/299 [00:22<00:22, 6.73it/s] 49%|####8 | 146/299 [00:22<00:22, 6.76it/s] 49%|####9 | 147/299 [00:22<00:22, 6.82it/s] 49%|####9 | 148/299 [00:22<00:22, 6.83it/s] 50%|####9 | 149/299 [00:22<00:21, 6.85it/s] 50%|##### | 150/299 [00:23<00:21, 6.86it/s] 51%|##### | 151/299 [00:23<00:21, 6.88it/s] 51%|##### | 152/299 [00:23<00:21, 6.84it/s] 51%|#####1 | 153/299 [00:23<00:21, 6.76it/s] 52%|#####1 | 154/299 [00:23<00:21, 6.79it/s] 52%|#####1 | 155/299 [00:23<00:21, 6.80it/s] 52%|#####2 | 156/299 [00:23<00:20, 6.81it/s] 53%|#####2 | 157/299 [00:24<00:20, 6.81it/s] 53%|#####2 | 158/299 [00:24<00:20, 6.78it/s] 53%|#####3 | 159/299 [00:24<00:20, 6.77it/s] 54%|#####3 | 160/299 [00:24<00:20, 6.78it/s] 54%|#####3 | 161/299 [00:24<00:20, 6.75it/s] 54%|#####4 | 162/299 [00:24<00:20, 6.77it/s] 55%|#####4 | 163/299 [00:25<00:20, 6.77it/s] 55%|#####4 | 164/299 [00:25<00:20, 6.74it/s] 55%|#####5 | 165/299 [00:25<00:19, 6.73it/s] 56%|#####5 | 166/299 [00:25<00:19, 6.68it/s] 56%|#####5 | 167/299 [00:25<00:19, 6.65it/s] 56%|#####6 | 168/299 [00:25<00:19, 6.65it/s] 57%|#####6 | 169/299 [00:25<00:19, 6.66it/s] 57%|#####6 | 170/299 [00:26<00:19, 6.61it/s] 57%|#####7 | 171/299 [00:26<00:19, 6.59it/s] 58%|#####7 | 172/299 [00:26<00:19, 6.60it/s] 58%|#####7 | 173/299 [00:26<00:18, 6.67it/s] 58%|#####8 | 174/299 [00:26<00:18, 6.71it/s] 59%|#####8 | 175/299 [00:26<00:18, 6.72it/s] 59%|#####8 | 176/299 [00:26<00:18, 6.64it/s] 59%|#####9 | 177/299 [00:27<00:18, 6.57it/s] 60%|#####9 | 178/299 [00:27<00:18, 6.61it/s] 60%|#####9 | 179/299 [00:27<00:18, 6.63it/s] 60%|###### | 180/299 [00:27<00:17, 6.70it/s] 61%|###### | 181/299 [00:27<00:17, 6.61it/s] 61%|###### | 182/299 [00:27<00:17, 6.51it/s] 61%|######1 | 183/299 [00:28<00:17, 6.49it/s] 62%|######1 | 184/299 [00:28<00:18, 6.37it/s] 62%|######1 | 185/299 [00:28<00:17, 6.42it/s] 62%|######2 | 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70%|######9 | 208/299 [00:31<00:14, 6.45it/s] 70%|######9 | 209/299 [00:32<00:13, 6.43it/s] 70%|####### | 210/299 [00:32<00:13, 6.47it/s] 71%|####### | 211/299 [00:32<00:13, 6.49it/s] 71%|####### | 212/299 [00:32<00:13, 6.48it/s] 71%|#######1 | 213/299 [00:32<00:13, 6.36it/s] 72%|#######1 | 214/299 [00:32<00:13, 6.40it/s] 72%|#######1 | 215/299 [00:33<00:13, 6.28it/s] 72%|#######2 | 216/299 [00:33<00:13, 6.33it/s] 73%|#######2 | 217/299 [00:33<00:13, 6.24it/s] 73%|#######2 | 218/299 [00:33<00:12, 6.28it/s] 73%|#######3 | 219/299 [00:33<00:12, 6.30it/s] 74%|#######3 | 220/299 [00:33<00:12, 6.36it/s] 74%|#######3 | 221/299 [00:33<00:12, 6.34it/s] 74%|#######4 | 222/299 [00:34<00:12, 6.38it/s] 75%|#######4 | 223/299 [00:34<00:11, 6.40it/s] 75%|#######4 | 224/299 [00:34<00:11, 6.41it/s] 75%|#######5 | 225/299 [00:34<00:11, 6.37it/s] 76%|#######5 | 226/299 [00:34<00:11, 6.41it/s] 76%|#######5 | 227/299 [00:34<00:11, 6.33it/s] 76%|#######6 | 228/299 [00:35<00:11, 6.33it/s] 77%|#######6 | 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91%|######### | 271/299 [00:41<00:04, 6.41it/s] 91%|######### | 272/299 [00:42<00:04, 6.41it/s] 91%|#########1| 273/299 [00:42<00:04, 6.36it/s] 92%|#########1| 274/299 [00:42<00:03, 6.37it/s] 92%|#########1| 275/299 [00:42<00:03, 6.33it/s] 92%|#########2| 276/299 [00:42<00:03, 6.27it/s] 93%|#########2| 277/299 [00:42<00:03, 6.20it/s] 93%|#########2| 278/299 [00:43<00:03, 6.22it/s] 93%|#########3| 279/299 [00:43<00:03, 6.24it/s] 94%|#########3| 280/299 [00:43<00:03, 6.13it/s] 94%|#########3| 281/299 [00:43<00:02, 6.17it/s] 94%|#########4| 282/299 [00:43<00:02, 6.22it/s] 95%|#########4| 283/299 [00:43<00:02, 6.24it/s] 95%|#########4| 284/299 [00:44<00:02, 6.25it/s] 95%|#########5| 285/299 [00:44<00:02, 6.26it/s] 96%|#########5| 286/299 [00:44<00:02, 6.27it/s] 96%|#########5| 287/299 [00:44<00:01, 6.27it/s] 96%|#########6| 288/299 [00:44<00:01, 6.28it/s] 97%|#########6| 289/299 [00:44<00:01, 6.29it/s] 97%|#########6| 290/299 [00:45<00:01, 6.30it/s] 97%|#########7| 291/299 [00:45<00:01, 6.29it/s] 98%|#########7| 292/299 [00:45<00:01, 6.30it/s] 98%|#########7| 293/299 [00:45<00:00, 6.27it/s] 98%|#########8| 294/299 [00:45<00:00, 6.26it/s] 99%|#########8| 295/299 [00:45<00:00, 6.26it/s] 99%|#########8| 296/299 [00:45<00:00, 6.15it/s] 99%|#########9| 297/299 [00:46<00:00, 6.15it/s] 100%|#########9| 298/299 [00:46<00:00, 6.09it/s] 100%|##########| 299/299 [00:46<00:00, 6.15it/s] 100%|##########| 299/299 [00:46<00:00, 6.44it/s] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7IDi3ujqlxsg5bc3bdzp6uktv3doiStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- 14
- text
- A portrait of Nicanor Parra
- steps
- 80
- model_name
- MetFaces
- output_type
- mp4
- video_length
- 8
{ "seed": 14, "text": "A portrait of Nicanor Parra", "steps": 80, "model_name": "MetFaces", "output_type": "mp4", "video_length": 8 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: 14, text: "A portrait of Nicanor Parra", steps: 80, model_name: "MetFaces", output_type: "mp4", video_length: 8 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": 14, "text": "A portrait of Nicanor Parra", "steps": 80, "model_name": "MetFaces", "output_type": "mp4", "video_length": 8 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": 14, "text": "A portrait of Nicanor Parra", "steps": 80, "model_name": "MetFaces", "output_type": "mp4", "video_length": 8 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T18:12:16.127726Z", "created_at": "2021-10-17T18:07:43.213429Z", "data_removed": false, "error": null, "id": "i3ujqlxsg5bc3bdzp6uktv3doi", "input": { "seed": 14, "text": "A portrait of Nicanor Parra", "steps": 80, "model_name": "MetFaces", "output_type": "mp4", "video_length": 8 }, "logs": "Image 0/80 | Current loss: 0.9060603380203247\nImage 10/80 | Current loss: 0.7359151840209961\nImage 20/80 | Current loss: 0.6829219460487366\nImage 30/80 | Current loss: 0.6663399934768677\nImage 40/80 | Current loss: 0.6413570642471313\nImage 50/80 | Current loss: 0.6725494861602783\nImage 60/80 | Current loss: 0.6692851781845093\nImage 70/80 | Current loss: 0.6523261070251465\nGenerating video...\n\n 0%| | 0/79 [00:00<?, ?it/s]\n\n 1%|1 | 1/79 [00:01<01:22, 1.06s/it]\n\n 3%|2 | 2/79 [00:02<01:21, 1.06s/it]\n\n 4%|3 | 3/79 [00:03<01:20, 1.06s/it]\n\n 5%|5 | 4/79 [00:04<01:19, 1.06s/it]\n\n 6%|6 | 5/79 [00:05<01:18, 1.06s/it]\n\n 8%|7 | 6/79 [00:06<01:17, 1.07s/it]\n\n 9%|8 | 7/79 [00:07<01:17, 1.07s/it]\n\n 10%|# | 8/79 [00:08<01:16, 1.08s/it]\n\n 11%|#1 | 9/79 [00:09<01:15, 1.07s/it]\n\n 13%|#2 | 10/79 [00:10<01:13, 1.07s/it]\n\n 14%|#3 | 11/79 [00:11<01:12, 1.07s/it]\n\n 15%|#5 | 12/79 [00:12<01:11, 1.07s/it]\n\n 16%|#6 | 13/79 [00:13<01:10, 1.07s/it]\n\n 18%|#7 | 14/79 [00:14<01:09, 1.07s/it]\n\n 19%|#8 | 15/79 [00:16<01:08, 1.07s/it]\n\n 20%|## | 16/79 [00:17<01:07, 1.07s/it]\n\n 22%|##1 | 17/79 [00:18<01:06, 1.07s/it]\n\n 23%|##2 | 18/79 [00:19<01:04, 1.06s/it]\n\n 24%|##4 | 19/79 [00:20<01:03, 1.06s/it]\n\n 25%|##5 | 20/79 [00:21<01:02, 1.06s/it]\n\n 27%|##6 | 21/79 [00:22<01:01, 1.06s/it]\n\n 28%|##7 | 22/79 [00:23<01:00, 1.06s/it]\n\n 29%|##9 | 23/79 [00:24<00:58, 1.05s/it]\n\n 30%|### | 24/79 [00:25<00:57, 1.05s/it]\n\n 32%|###1 | 25/79 [00:26<00:56, 1.05s/it]\n\n 33%|###2 | 26/79 [00:27<00:55, 1.05s/it]\n\n 34%|###4 | 27/79 [00:28<00:54, 1.04s/it]\n\n 35%|###5 | 28/79 [00:29<00:52, 1.04s/it]\n\n 37%|###6 | 29/79 [00:30<00:51, 1.03s/it]\n\n 38%|###7 | 30/79 [00:31<00:50, 1.03s/it]\n\n 39%|###9 | 31/79 [00:32<00:49, 1.02s/it]\n\n 41%|#### | 32/79 [00:33<00:47, 1.02s/it]\n\n 42%|####1 | 33/79 [00:34<00:46, 1.02s/it]\n\n 43%|####3 | 34/79 [00:35<00:45, 1.02s/it]\n\n 44%|####4 | 35/79 [00:36<00:44, 1.02s/it]\n\n 46%|####5 | 36/79 [00:37<00:43, 1.01s/it]\n\n 47%|####6 | 37/79 [00:38<00:42, 1.01s/it]\n\n 48%|####8 | 38/79 [00:39<00:41, 1.00s/it]\n\n 49%|####9 | 39/79 [00:40<00:40, 1.01s/it]\n\n 51%|##### | 40/79 [00:41<00:39, 1.01s/it]\n\n 52%|#####1 | 41/79 [00:42<00:38, 1.00s/it]\n\n 53%|#####3 | 42/79 [00:43<00:37, 1.00s/it]\n\n 54%|#####4 | 43/79 [00:44<00:36, 1.00s/it]\n\n 56%|#####5 | 44/79 [00:45<00:34, 1.00it/s]\n\n 57%|#####6 | 45/79 [00:46<00:33, 1.00it/s]\n\n 58%|#####8 | 46/79 [00:47<00:32, 1.01it/s]\n\n 59%|#####9 | 47/79 [00:48<00:31, 1.01it/s]\n\n 61%|###### | 48/79 [00:49<00:30, 1.01it/s]\n\n 62%|######2 | 49/79 [00:50<00:29, 1.02it/s]\n\n 63%|######3 | 50/79 [00:51<00:28, 1.01it/s]\n\n 65%|######4 | 51/79 [00:52<00:27, 1.02it/s]\n\n 66%|######5 | 52/79 [00:53<00:26, 1.02it/s]\n\n 67%|######7 | 53/79 [00:54<00:25, 1.01it/s]\n\n 68%|######8 | 54/79 [00:55<00:24, 1.02it/s]\n\n 70%|######9 | 55/79 [00:56<00:23, 1.02it/s]\n\n 71%|####### | 56/79 [00:57<00:22, 1.02it/s]\n\n 72%|#######2 | 57/79 [00:58<00:21, 1.02it/s]\n\n 73%|#######3 | 58/79 [00:59<00:20, 1.02it/s]\n\n 75%|#######4 | 59/79 [01:00<00:19, 1.03it/s]\n\n 76%|#######5 | 60/79 [01:01<00:18, 1.03it/s]\n\n 77%|#######7 | 61/79 [01:02<00:17, 1.03it/s]\n\n 78%|#######8 | 62/79 [01:03<00:16, 1.03it/s]\n\n 80%|#######9 | 63/79 [01:04<00:15, 1.04it/s]\n\n 81%|########1 | 64/79 [01:05<00:14, 1.04it/s]\n\n 82%|########2 | 65/79 [01:06<00:13, 1.04it/s]\n\n 84%|########3 | 66/79 [01:07<00:12, 1.04it/s]\n\n 85%|########4 | 67/79 [01:08<00:11, 1.04it/s]\n\n 86%|########6 | 68/79 [01:09<00:10, 1.04it/s]\n\n 87%|########7 | 69/79 [01:10<00:09, 1.05it/s]\n\n 89%|########8 | 70/79 [01:11<00:08, 1.05it/s]\n\n 90%|########9 | 71/79 [01:11<00:07, 1.05it/s]\n\n 91%|#########1| 72/79 [01:12<00:06, 1.05it/s]\n\n 92%|#########2| 73/79 [01:13<00:05, 1.05it/s]\n\n 94%|#########3| 74/79 [01:14<00:04, 1.05it/s]\n\n 95%|#########4| 75/79 [01:15<00:03, 1.06it/s]\n\n 96%|#########6| 76/79 [01:16<00:02, 1.07it/s]\n\n 97%|#########7| 77/79 [01:17<00:01, 1.07it/s]\n\n 99%|#########8| 78/79 [01:18<00:00, 1.07it/s]\n\n100%|##########| 79/79 [01:19<00:00, 1.07it/s]\n\n100%|##########| 79/79 [01:19<00:00, 1.01s/it]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/843659b4-f94f-44c1-b0c6-8470e2c95426/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/i3ujqlxsg5bc3bdzp6uktv3doi", "cancel": "https://api.replicate.com/v1/predictions/i3ujqlxsg5bc3bdzp6uktv3doi/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Image 0/80 | Current loss: 0.9060603380203247 Image 10/80 | Current loss: 0.7359151840209961 Image 20/80 | Current loss: 0.6829219460487366 Image 30/80 | Current loss: 0.6663399934768677 Image 40/80 | Current loss: 0.6413570642471313 Image 50/80 | Current loss: 0.6725494861602783 Image 60/80 | Current loss: 0.6692851781845093 Image 70/80 | Current loss: 0.6523261070251465 Generating video... 0%| | 0/79 [00:00<?, ?it/s] 1%|1 | 1/79 [00:01<01:22, 1.06s/it] 3%|2 | 2/79 [00:02<01:21, 1.06s/it] 4%|3 | 3/79 [00:03<01:20, 1.06s/it] 5%|5 | 4/79 [00:04<01:19, 1.06s/it] 6%|6 | 5/79 [00:05<01:18, 1.06s/it] 8%|7 | 6/79 [00:06<01:17, 1.07s/it] 9%|8 | 7/79 [00:07<01:17, 1.07s/it] 10%|# | 8/79 [00:08<01:16, 1.08s/it] 11%|#1 | 9/79 [00:09<01:15, 1.07s/it] 13%|#2 | 10/79 [00:10<01:13, 1.07s/it] 14%|#3 | 11/79 [00:11<01:12, 1.07s/it] 15%|#5 | 12/79 [00:12<01:11, 1.07s/it] 16%|#6 | 13/79 [00:13<01:10, 1.07s/it] 18%|#7 | 14/79 [00:14<01:09, 1.07s/it] 19%|#8 | 15/79 [00:16<01:08, 1.07s/it] 20%|## | 16/79 [00:17<01:07, 1.07s/it] 22%|##1 | 17/79 [00:18<01:06, 1.07s/it] 23%|##2 | 18/79 [00:19<01:04, 1.06s/it] 24%|##4 | 19/79 [00:20<01:03, 1.06s/it] 25%|##5 | 20/79 [00:21<01:02, 1.06s/it] 27%|##6 | 21/79 [00:22<01:01, 1.06s/it] 28%|##7 | 22/79 [00:23<01:00, 1.06s/it] 29%|##9 | 23/79 [00:24<00:58, 1.05s/it] 30%|### | 24/79 [00:25<00:57, 1.05s/it] 32%|###1 | 25/79 [00:26<00:56, 1.05s/it] 33%|###2 | 26/79 [00:27<00:55, 1.05s/it] 34%|###4 | 27/79 [00:28<00:54, 1.04s/it] 35%|###5 | 28/79 [00:29<00:52, 1.04s/it] 37%|###6 | 29/79 [00:30<00:51, 1.03s/it] 38%|###7 | 30/79 [00:31<00:50, 1.03s/it] 39%|###9 | 31/79 [00:32<00:49, 1.02s/it] 41%|#### | 32/79 [00:33<00:47, 1.02s/it] 42%|####1 | 33/79 [00:34<00:46, 1.02s/it] 43%|####3 | 34/79 [00:35<00:45, 1.02s/it] 44%|####4 | 35/79 [00:36<00:44, 1.02s/it] 46%|####5 | 36/79 [00:37<00:43, 1.01s/it] 47%|####6 | 37/79 [00:38<00:42, 1.01s/it] 48%|####8 | 38/79 [00:39<00:41, 1.00s/it] 49%|####9 | 39/79 [00:40<00:40, 1.01s/it] 51%|##### | 40/79 [00:41<00:39, 1.01s/it] 52%|#####1 | 41/79 [00:42<00:38, 1.00s/it] 53%|#####3 | 42/79 [00:43<00:37, 1.00s/it] 54%|#####4 | 43/79 [00:44<00:36, 1.00s/it] 56%|#####5 | 44/79 [00:45<00:34, 1.00it/s] 57%|#####6 | 45/79 [00:46<00:33, 1.00it/s] 58%|#####8 | 46/79 [00:47<00:32, 1.01it/s] 59%|#####9 | 47/79 [00:48<00:31, 1.01it/s] 61%|###### | 48/79 [00:49<00:30, 1.01it/s] 62%|######2 | 49/79 [00:50<00:29, 1.02it/s] 63%|######3 | 50/79 [00:51<00:28, 1.01it/s] 65%|######4 | 51/79 [00:52<00:27, 1.02it/s] 66%|######5 | 52/79 [00:53<00:26, 1.02it/s] 67%|######7 | 53/79 [00:54<00:25, 1.01it/s] 68%|######8 | 54/79 [00:55<00:24, 1.02it/s] 70%|######9 | 55/79 [00:56<00:23, 1.02it/s] 71%|####### | 56/79 [00:57<00:22, 1.02it/s] 72%|#######2 | 57/79 [00:58<00:21, 1.02it/s] 73%|#######3 | 58/79 [00:59<00:20, 1.02it/s] 75%|#######4 | 59/79 [01:00<00:19, 1.03it/s] 76%|#######5 | 60/79 [01:01<00:18, 1.03it/s] 77%|#######7 | 61/79 [01:02<00:17, 1.03it/s] 78%|#######8 | 62/79 [01:03<00:16, 1.03it/s] 80%|#######9 | 63/79 [01:04<00:15, 1.04it/s] 81%|########1 | 64/79 [01:05<00:14, 1.04it/s] 82%|########2 | 65/79 [01:06<00:13, 1.04it/s] 84%|########3 | 66/79 [01:07<00:12, 1.04it/s] 85%|########4 | 67/79 [01:08<00:11, 1.04it/s] 86%|########6 | 68/79 [01:09<00:10, 1.04it/s] 87%|########7 | 69/79 [01:10<00:09, 1.05it/s] 89%|########8 | 70/79 [01:11<00:08, 1.05it/s] 90%|########9 | 71/79 [01:11<00:07, 1.05it/s] 91%|#########1| 72/79 [01:12<00:06, 1.05it/s] 92%|#########2| 73/79 [01:13<00:05, 1.05it/s] 94%|#########3| 74/79 [01:14<00:04, 1.05it/s] 95%|#########4| 75/79 [01:15<00:03, 1.06it/s] 96%|#########6| 76/79 [01:16<00:02, 1.07it/s] 97%|#########7| 77/79 [01:17<00:01, 1.07it/s] 99%|#########8| 78/79 [01:18<00:00, 1.07it/s] 100%|##########| 79/79 [01:19<00:00, 1.07it/s] 100%|##########| 79/79 [01:19<00:00, 1.01s/it] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7IDuamzu4u7vfcmfkwjqchvm7qinmStatusSucceededSourceWebHardware–Total duration–CreatedInput
- seed
- 14
- text
- boris johnson cat
- steps
- 300
- model_name
- AFHQv2
- output_type
- mp4
- video_length
- 10
{ "seed": 14, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: 14, text: "boris johnson cat", steps: 300, model_name: "AFHQv2", output_type: "mp4", video_length: 10 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": 14, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": 14, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-17T19:05:53.883762Z", "created_at": "2021-10-17T18:58:49.013884Z", "data_removed": false, "error": null, "id": "uamzu4u7vfcmfkwjqchvm7qinm", "input": { "seed": 14, "text": "boris johnson cat", "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }, "logs": "Setting up PyTorch plugin \"filtered_lrelu_plugin\"...\nDone.\nImage 0/300 | Current loss: 0.835820734500885\nImage 10/300 | Current loss: 0.7954502105712891\nImage 20/300 | Current loss: 0.7790923714637756\nImage 30/300 | Current loss: 0.7543401718139648\nImage 40/300 | Current loss: 0.7330735921859741\nImage 50/300 | Current loss: 0.7307876348495483\nImage 60/300 | Current loss: 0.7116021513938904\nImage 70/300 | Current loss: 0.6896846890449524\nImage 80/300 | Current loss: 0.6864651441574097\nImage 90/300 | Current loss: 0.6726059317588806\nImage 100/300 | Current loss: 0.6680451035499573\nImage 110/300 | Current loss: 0.6586332321166992\nImage 120/300 | Current loss: 0.6589000225067139\nImage 130/300 | Current loss: 0.6586989164352417\nImage 140/300 | Current loss: 0.6545321941375732\nImage 150/300 | Current loss: 0.6629706025123596\nImage 160/300 | Current loss: 0.6811531186103821\nImage 170/300 | Current loss: 0.6651004552841187\nImage 180/300 | Current loss: 0.6511184573173523\nImage 190/300 | Current loss: 0.6465532183647156\nImage 200/300 | Current loss: 0.650111198425293\nImage 210/300 | Current loss: 0.6509230136871338\nImage 220/300 | Current loss: 0.6546267867088318\nImage 230/300 | Current loss: 0.6554313898086548\nImage 240/300 | Current loss: 0.6437792778015137\nImage 250/300 | Current loss: 0.6442697048187256\nImage 260/300 | Current loss: 0.6487745642662048\nImage 270/300 | Current loss: 0.6408305764198303\nImage 280/300 | Current loss: 0.6438030004501343\nImage 290/300 | Current loss: 0.6352705955505371\nGenerating video...\n\n 0%| | 0/299 [00:00<?, ?it/s]\n\n 0%| | 1/299 [00:00<00:52, 5.72it/s]\n\n 1%| | 2/299 [00:00<00:47, 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[00:46<00:09, 4.77it/s]\n\n 86%|########5 | 256/299 [00:46<00:09, 4.71it/s]\n\n 86%|########5 | 257/299 [00:47<00:08, 4.72it/s]\n\n 86%|########6 | 258/299 [00:47<00:08, 4.74it/s]\n\n 87%|########6 | 259/299 [00:47<00:08, 4.69it/s]\n\n 87%|########6 | 260/299 [00:47<00:08, 4.74it/s]\n\n 87%|########7 | 261/299 [00:47<00:07, 4.76it/s]\n\n 88%|########7 | 262/299 [00:48<00:07, 4.70it/s]\n\n 88%|########7 | 263/299 [00:48<00:07, 4.62it/s]\n\n 88%|########8 | 264/299 [00:48<00:07, 4.69it/s]\n\n 89%|########8 | 265/299 [00:48<00:07, 4.71it/s]\n\n 89%|########8 | 266/299 [00:48<00:06, 4.76it/s]\n\n 89%|########9 | 267/299 [00:49<00:06, 4.78it/s]\n\n 90%|########9 | 268/299 [00:49<00:06, 4.83it/s]\n\n 90%|########9 | 269/299 [00:49<00:06, 4.85it/s]\n\n 90%|######### | 270/299 [00:49<00:06, 4.80it/s]\n\n 91%|######### | 271/299 [00:50<00:05, 4.85it/s]\n\n 91%|######### | 272/299 [00:50<00:05, 4.84it/s]\n\n 91%|#########1| 273/299 [00:50<00:05, 4.85it/s]\n\n 92%|#########1| 274/299 [00:50<00:05, 4.86it/s]\n\n 92%|#########1| 275/299 [00:50<00:05, 4.78it/s]\n\n 92%|#########2| 276/299 [00:51<00:04, 4.80it/s]\n\n 93%|#########2| 277/299 [00:51<00:04, 4.85it/s]\n\n 93%|#########2| 278/299 [00:51<00:04, 4.84it/s]\n\n 93%|#########3| 279/299 [00:51<00:04, 4.86it/s]\n\n 94%|#########3| 280/299 [00:51<00:03, 4.82it/s]\n\n 94%|#########3| 281/299 [00:52<00:03, 4.85it/s]\n\n 94%|#########4| 282/299 [00:52<00:03, 4.82it/s]\n\n 95%|#########4| 283/299 [00:52<00:03, 4.84it/s]\n\n 95%|#########4| 284/299 [00:52<00:03, 4.86it/s]\n\n 95%|#########5| 285/299 [00:52<00:02, 4.91it/s]\n\n 96%|#########5| 286/299 [00:53<00:02, 4.93it/s]\n\n 96%|#########5| 287/299 [00:53<00:02, 4.85it/s]\n\n 96%|#########6| 288/299 [00:53<00:02, 4.81it/s]\n\n 97%|#########6| 289/299 [00:53<00:02, 4.82it/s]\n\n 97%|#########6| 290/299 [00:53<00:01, 4.79it/s]\n\n 97%|#########7| 291/299 [00:54<00:01, 4.75it/s]\n\n 98%|#########7| 292/299 [00:54<00:01, 4.79it/s]\n\n 98%|#########7| 293/299 [00:54<00:01, 4.77it/s]\n\n 98%|#########8| 294/299 [00:54<00:01, 4.81it/s]\n\n 99%|#########8| 295/299 [00:54<00:00, 4.86it/s]\n\n 99%|#########8| 296/299 [00:55<00:00, 4.80it/s]\n\n 99%|#########9| 297/299 [00:55<00:00, 4.81it/s]\n\n100%|#########9| 298/299 [00:55<00:00, 4.81it/s]\n\n100%|##########| 299/299 [00:55<00:00, 4.82it/s]\n\n100%|##########| 299/299 [00:55<00:00, 5.36it/s]\nThe video is ready", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/62ebc5af-d4cd-441a-9a4b-6fd126584de4/out.mp4" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/uamzu4u7vfcmfkwjqchvm7qinm", "cancel": "https://api.replicate.com/v1/predictions/uamzu4u7vfcmfkwjqchvm7qinm/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Setting up PyTorch plugin "filtered_lrelu_plugin"... Done. Image 0/300 | Current loss: 0.835820734500885 Image 10/300 | Current loss: 0.7954502105712891 Image 20/300 | Current loss: 0.7790923714637756 Image 30/300 | Current loss: 0.7543401718139648 Image 40/300 | Current loss: 0.7330735921859741 Image 50/300 | Current loss: 0.7307876348495483 Image 60/300 | Current loss: 0.7116021513938904 Image 70/300 | Current loss: 0.6896846890449524 Image 80/300 | Current loss: 0.6864651441574097 Image 90/300 | Current loss: 0.6726059317588806 Image 100/300 | Current loss: 0.6680451035499573 Image 110/300 | Current loss: 0.6586332321166992 Image 120/300 | Current loss: 0.6589000225067139 Image 130/300 | Current loss: 0.6586989164352417 Image 140/300 | Current loss: 0.6545321941375732 Image 150/300 | Current loss: 0.6629706025123596 Image 160/300 | Current loss: 0.6811531186103821 Image 170/300 | Current loss: 0.6651004552841187 Image 180/300 | Current loss: 0.6511184573173523 Image 190/300 | Current loss: 0.6465532183647156 Image 200/300 | Current loss: 0.650111198425293 Image 210/300 | Current loss: 0.6509230136871338 Image 220/300 | Current loss: 0.6546267867088318 Image 230/300 | Current loss: 0.6554313898086548 Image 240/300 | Current loss: 0.6437792778015137 Image 250/300 | Current loss: 0.6442697048187256 Image 260/300 | Current loss: 0.6487745642662048 Image 270/300 | Current loss: 0.6408305764198303 Image 280/300 | Current loss: 0.6438030004501343 Image 290/300 | Current loss: 0.6352705955505371 Generating video... 0%| | 0/299 [00:00<?, ?it/s] 0%| | 1/299 [00:00<00:52, 5.72it/s] 1%| | 2/299 [00:00<00:47, 6.28it/s] 1%|1 | 3/299 [00:00<00:45, 6.49it/s] 1%|1 | 4/299 [00:00<00:44, 6.60it/s] 2%|1 | 5/299 [00:00<00:44, 6.68it/s] 2%|2 | 6/299 [00:00<00:43, 6.74it/s] 2%|2 | 7/299 [00:01<00:43, 6.77it/s] 3%|2 | 8/299 [00:01<00:42, 6.79it/s] 3%|3 | 9/299 [00:01<00:42, 6.82it/s] 3%|3 | 10/299 [00:01<00:43, 6.68it/s] 4%|3 | 11/299 [00:01<00:42, 6.72it/s] 4%|4 | 12/299 [00:01<00:42, 6.81it/s] 4%|4 | 13/299 [00:01<00:41, 6.89it/s] 5%|4 | 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96%|#########5| 286/299 [00:53<00:02, 4.93it/s] 96%|#########5| 287/299 [00:53<00:02, 4.85it/s] 96%|#########6| 288/299 [00:53<00:02, 4.81it/s] 97%|#########6| 289/299 [00:53<00:02, 4.82it/s] 97%|#########6| 290/299 [00:53<00:01, 4.79it/s] 97%|#########7| 291/299 [00:54<00:01, 4.75it/s] 98%|#########7| 292/299 [00:54<00:01, 4.79it/s] 98%|#########7| 293/299 [00:54<00:01, 4.77it/s] 98%|#########8| 294/299 [00:54<00:01, 4.81it/s] 99%|#########8| 295/299 [00:54<00:00, 4.86it/s] 99%|#########8| 296/299 [00:55<00:00, 4.80it/s] 99%|#########9| 297/299 [00:55<00:00, 4.81it/s] 100%|#########9| 298/299 [00:55<00:00, 4.81it/s] 100%|##########| 299/299 [00:55<00:00, 4.82it/s] 100%|##########| 299/299 [00:55<00:00, 5.36it/s] The video is readyPrediction
ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7Input
- seed
- 80
- steps
- 300
- model_name
- AFHQv2
- output_type
- mp4
- video_length
- 10
{ "seed": 80, "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }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 ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", { input: { seed: 80, steps: 300, model_name: "AFHQv2", output_type: "mp4", video_length: 10 } } ); 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 replicateImport the client:import replicateRun ouhenio/stylegan3-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", input={ "seed": 80, "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } ) # The ouhenio/stylegan3-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/ouhenio/stylegan3-clip/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ouhenio/stylegan3-clip 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": "ouhenio/stylegan3-clip:ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7", "input": { "seed": 80, "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-26T20:15:05Z", "created_at": "2021-10-17T20:10:26.414926Z", "data_removed": false, "error": "", "id": "swhsxiqasja5jcs6ru4ox73jwm", "input": { "seed": 80, "steps": 300, "model_name": "AFHQv2", "output_type": "mp4", "video_length": 10 }, "logs": "Image 0/300 | Current loss: 0.8320050239562988\r\nImage 10/300 | Current loss: 0.7644549608230591\r\nImage 20/300 | Current loss: 0.7287265658378601\r\nImage 30/300 | Current loss: 0.7081943154335022\r\nImage 40/300 | Current loss: 0.7024062275886536\r\nImage 50/300 | Current loss: 0.7005965709686279\r\nImage 60/300 | Current loss: 0.685562789440155\r\nImage 70/300 | Current loss: 0.677058219909668\r\nImage 80/300 | Current loss: 0.6771623492240906\r\nImage 90/300 | Current loss: 0.6823318004608154\r\nImage 100/300 | Current loss: 0.6787564754486084\r\nImage 110/300 | Current loss: 0.6728847622871399\r\nImage 120/300 | Current loss: 0.6673204898834229\r\nImage 130/300 | Current loss: 0.6681848764419556\r\nImage 140/300 | Current loss: 0.6639760732650757\r\nImage 150/300 | Current loss: 0.6674928069114685\r\nImage 160/300 | Current loss: 0.6638803482055664\r\nImage 170/300 | Current loss: 0.6638708710670471\r\nImage 180/300 | Current loss: 0.6676520109176636\r\nImage 190/300 | Current loss: 0.6674977540969849\r\nImage 200/300 | Current loss: 0.6618833541870117\r\nImage 210/300 | Current loss: 0.6529272198677063\r\nImage 220/300 | Current loss: 0.6570501923561096\r\nImage 230/300 | Current loss: 0.6562023162841797\r\nImage 240/300 | Current loss: 0.6457749605178833\r\nImage 250/300 | Current loss: 0.6406865119934082\r\nImage 260/300 | Current loss: 0.6444882154464722\r\nImage 270/300 | Current loss: 0.6502618789672852\r\nImage 280/300 | Current loss: 0.6458879709243774\r\nImage 290/300 | Current loss: 0.6471269726753235\r\nGenerating video...\r\n\r\n 0%| | 0/299 [00:00<?, ?it/s]\r\n\r\n 0%| | 1/299 [00:00<01:09, 4.28it/s]\r\n\r\n 1%| | 2/299 [00:00<01:09, 4.30it/s]\r\n\r\n 1%|1 | 3/299 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3.92it/s]\r\n\r\n 86%|########5 | 256/299 [01:05<00:11, 3.86it/s]\r\n\r\n 86%|########5 | 257/299 [01:05<00:10, 3.89it/s]\r\n\r\n 86%|########6 | 258/299 [01:06<00:10, 3.93it/s]\r\n\r\n 87%|########6 | 259/299 [01:06<00:10, 3.96it/s]\r\n\r\n 87%|########6 | 260/299 [01:06<00:09, 3.95it/s]\r\n\r\n 87%|########7 | 261/299 [01:06<00:09, 3.95it/s]\r\n\r\n 88%|########7 | 262/299 [01:07<00:09, 3.92it/s]\r\n\r\n 88%|########7 | 263/299 [01:07<00:09, 3.94it/s]\r\n\r\n 88%|########8 | 264/299 [01:07<00:08, 3.94it/s]\r\n\r\n 89%|########8 | 265/299 [01:08<00:08, 3.90it/s]\r\n\r\n 89%|########8 | 266/299 [01:08<00:08, 3.91it/s]\r\n\r\n 89%|########9 | 267/299 [01:08<00:08, 3.93it/s]\r\n\r\n 90%|########9 | 268/299 [01:08<00:07, 3.95it/s]\r\n\r\n 90%|########9 | 269/299 [01:09<00:07, 3.93it/s]\r\n\r\n 90%|######### | 270/299 [01:09<00:07, 3.90it/s]\r\n\r\n 91%|######### | 271/299 [01:09<00:07, 3.91it/s]\r\n\r\n 91%|######### | 272/299 [01:09<00:06, 3.93it/s]\r\n\r\n 91%|#########1| 273/299 [01:10<00:06, 3.91it/s]\r\n\r\n 92%|#########1| 274/299 [01:10<00:06, 3.91it/s]\r\n\r\n 92%|#########1| 275/299 [01:10<00:06, 3.94it/s]\r\n\r\n 92%|#########2| 276/299 [01:10<00:05, 3.93it/s]\r\n\r\n 93%|#########2| 277/299 [01:11<00:05, 3.84it/s]\r\n\r\n 93%|#########2| 278/299 [01:11<00:05, 3.83it/s]\r\n\r\n 93%|#########3| 279/299 [01:11<00:05, 3.85it/s]\r\n\r\n 94%|#########3| 280/299 [01:11<00:04, 3.86it/s]\r\n\r\n 94%|#########3| 281/299 [01:12<00:04, 3.87it/s]\r\n\r\n 94%|#########4| 282/299 [01:12<00:04, 3.87it/s]\r\n\r\n 95%|#########4| 283/299 [01:12<00:04, 3.86it/s]\r\n\r\n 95%|#########4| 284/299 [01:12<00:03, 3.88it/s]\r\n\r\n 95%|#########5| 285/299 [01:13<00:03, 3.88it/s]\r\n\r\n 96%|#########5| 286/299 [01:13<00:03, 3.90it/s]\r\n\r\n 96%|#########5| 287/299 [01:13<00:03, 3.91it/s]\r\n\r\n 96%|#########6| 288/299 [01:13<00:02, 3.89it/s]\r\n\r\n 97%|#########6| 289/299 [01:14<00:02, 3.92it/s]\r\n\r\n 97%|#########6| 290/299 [01:14<00:02, 3.95it/s]\r\n\r\n 97%|#########7| 291/299 [01:14<00:02, 3.96it/s]\r\n\r\n 98%|#########7| 292/299 [01:14<00:01, 3.91it/s]\r\n\r\n 98%|#########7| 293/299 [01:15<00:01, 3.91it/s]\r\n\r\n 98%|#########8| 294/299 [01:15<00:01, 3.92it/s]\r\n\r\n 99%|#########8| 295/299 [01:15<00:01, 3.94it/s]\r\n\r\n 99%|#########8| 296/299 [01:15<00:00, 3.92it/s]\r\n\r\n 99%|#########9| 297/299 [01:16<00:00, 3.93it/s]\r\n\r\n100%|#########9| 298/299 [01:16<00:00, 3.78it/s]\r\n\r\n100%|##########| 299/299 [01:16<00:00, 3.81it/s]\r\n\r\n100%|##########| 299/299 [01:16<00:00, 3.90it/s]\r\nThe video is ready", "metrics": { "total_time": 777878.585074 }, "output": [ { "file": "https://replicate.delivery/mgxm/54715c16-4e7b-4c56-8b7c-c130aa1c219c/out.mp4" } ], "started_at": "2022-01-27T01:09:34.797606Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/swhsxiqasja5jcs6ru4ox73jwm", "cancel": "https://api.replicate.com/v1/predictions/swhsxiqasja5jcs6ru4ox73jwm/cancel" }, "version": "ef516e1e529d6ebb16f63357795fc4b6c20b47a06f71a27c4b646ed76a364da7" }Image 0/300 | Current loss: 0.8320050239562988 Image 10/300 | Current loss: 0.7644549608230591 Image 20/300 | Current loss: 0.7287265658378601 Image 30/300 | Current loss: 0.7081943154335022 Image 40/300 | Current loss: 0.7024062275886536 Image 50/300 | Current loss: 0.7005965709686279 Image 60/300 | Current loss: 0.685562789440155 Image 70/300 | Current loss: 0.677058219909668 Image 80/300 | Current loss: 0.6771623492240906 Image 90/300 | Current loss: 0.6823318004608154 Image 100/300 | Current loss: 0.6787564754486084 Image 110/300 | Current loss: 0.6728847622871399 Image 120/300 | Current loss: 0.6673204898834229 Image 130/300 | Current loss: 0.6681848764419556 Image 140/300 | Current loss: 0.6639760732650757 Image 150/300 | Current loss: 0.6674928069114685 Image 160/300 | Current loss: 0.6638803482055664 Image 170/300 | Current loss: 0.6638708710670471 Image 180/300 | Current loss: 0.6676520109176636 Image 190/300 | Current loss: 0.6674977540969849 Image 200/300 | Current loss: 0.6618833541870117 Image 210/300 | Current loss: 0.6529272198677063 Image 220/300 | Current loss: 0.6570501923561096 Image 230/300 | Current loss: 0.6562023162841797 Image 240/300 | Current loss: 0.6457749605178833 Image 250/300 | Current loss: 0.6406865119934082 Image 260/300 | Current loss: 0.6444882154464722 Image 270/300 | Current loss: 0.6502618789672852 Image 280/300 | Current loss: 0.6458879709243774 Image 290/300 | Current loss: 0.6471269726753235 Generating video... 0%| | 0/299 [00:00<?, ?it/s] 0%| | 1/299 [00:00<01:09, 4.28it/s] 1%| | 2/299 [00:00<01:09, 4.30it/s] 1%|1 | 3/299 [00:00<01:08, 4.34it/s] 1%|1 | 4/299 [00:00<01:07, 4.34it/s] 2%|1 | 5/299 [00:01<01:08, 4.29it/s] 2%|2 | 6/299 [00:01<01:09, 4.21it/s] 2%|2 | 7/299 [00:01<01:10, 4.13it/s] 3%|2 | 8/299 [00:01<01:10, 4.11it/s] 3%|3 | 9/299 [00:02<01:11, 4.07it/s] 3%|3 | 10/299 [00:02<01:11, 4.03it/s] 4%|3 | 11/299 [00:02<01:12, 3.99it/s] 4%|4 | 12/299 [00:02<01:12, 3.98it/s] 4%|4 | 13/299 [00:03<01:12, 3.97it/s] 5%|4 | 14/299 [00:03<01:12, 3.92it/s] 5%|5 | 15/299 [00:03<01:13, 3.89it/s] 5%|5 | 16/299 [00:03<01:13, 3.85it/s] 6%|5 | 17/299 [00:04<01:12, 3.87it/s] 6%|6 | 18/299 [00:04<01:12, 3.89it/s] 6%|6 | 19/299 [00:04<01:11, 3.91it/s] 7%|6 | 20/299 [00:04<01:11, 3.92it/s] 7%|7 | 21/299 [00:05<01:10, 3.95it/s] 7%|7 | 22/299 [00:05<01:09, 3.97it/s] 8%|7 | 23/299 [00:05<01:09, 3.97it/s] 8%|8 | 24/299 [00:05<01:09, 3.98it/s] 8%|8 | 25/299 [00:06<01:08, 4.00it/s] 9%|8 | 26/299 [00:06<01:08, 3.99it/s] 9%|9 | 27/299 [00:06<01:07, 4.00it/s] 9%|9 | 28/299 [00:06<01:07, 4.02it/s] 10%|9 | 29/299 [00:07<01:07, 4.02it/s] 10%|# | 30/299 [00:07<01:07, 4.01it/s] 10%|# | 31/299 [00:07<01:07, 3.98it/s] 11%|# | 32/299 [00:07<01:07, 3.98it/s] 11%|#1 | 33/299 [00:08<01:06, 4.00it/s] 11%|#1 | 34/299 [00:08<01:06, 3.99it/s] 12%|#1 | 35/299 [00:08<01:06, 3.98it/s] 12%|#2 | 36/299 [00:08<01:06, 3.98it/s] 12%|#2 | 37/299 [00:09<01:06, 3.97it/s] 13%|#2 | 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[00:22<00:54, 3.89it/s] 29%|##9 | 88/299 [00:22<00:53, 3.91it/s] 30%|##9 | 89/299 [00:22<00:53, 3.89it/s] 30%|### | 90/299 [00:22<00:53, 3.87it/s] 30%|### | 91/299 [00:23<00:53, 3.89it/s] 31%|### | 92/299 [00:23<00:53, 3.85it/s] 31%|###1 | 93/299 [00:23<00:53, 3.82it/s] 31%|###1 | 94/299 [00:23<00:53, 3.86it/s] 32%|###1 | 95/299 [00:24<00:52, 3.88it/s] 32%|###2 | 96/299 [00:24<00:52, 3.89it/s] 32%|###2 | 97/299 [00:24<00:52, 3.84it/s] 33%|###2 | 98/299 [00:25<00:52, 3.85it/s] 33%|###3 | 99/299 [00:25<00:51, 3.87it/s] 33%|###3 | 100/299 [00:25<00:51, 3.88it/s] 34%|###3 | 101/299 [00:25<00:51, 3.86it/s] 34%|###4 | 102/299 [00:26<00:51, 3.81it/s] 34%|###4 | 103/299 [00:26<00:51, 3.84it/s] 35%|###4 | 104/299 [00:26<00:50, 3.83it/s] 35%|###5 | 105/299 [00:26<00:50, 3.88it/s] 35%|###5 | 106/299 [00:27<00:50, 3.85it/s] 36%|###5 | 107/299 [00:27<00:50, 3.82it/s] 36%|###6 | 108/299 [00:27<00:50, 3.79it/s] 36%|###6 | 109/299 [00:27<00:49, 3.83it/s] 37%|###6 | 110/299 [00:28<00:49, 3.83it/s] 37%|###7 | 111/299 [00:28<00:49, 3.81it/s] 37%|###7 | 112/299 [00:28<00:48, 3.83it/s] 38%|###7 | 113/299 [00:28<00:48, 3.83it/s] 38%|###8 | 114/299 [00:29<00:48, 3.83it/s] 38%|###8 | 115/299 [00:29<00:47, 3.84it/s] 39%|###8 | 116/299 [00:29<00:47, 3.83it/s] 39%|###9 | 117/299 [00:29<00:47, 3.85it/s] 39%|###9 | 118/299 [00:30<00:46, 3.88it/s] 40%|###9 | 119/299 [00:30<00:46, 3.86it/s] 40%|#### | 120/299 [00:30<00:46, 3.89it/s] 40%|#### | 121/299 [00:30<00:45, 3.90it/s] 41%|#### | 122/299 [00:31<00:45, 3.92it/s] 41%|####1 | 123/299 [00:31<00:44, 3.92it/s] 41%|####1 | 124/299 [00:31<00:44, 3.89it/s] 42%|####1 | 125/299 [00:32<00:44, 3.89it/s] 42%|####2 | 126/299 [00:32<00:44, 3.90it/s] 42%|####2 | 127/299 [00:32<00:44, 3.86it/s] 43%|####2 | 128/299 [00:32<00:44, 3.85it/s] 43%|####3 | 129/299 [00:33<00:44, 3.85it/s] 43%|####3 | 130/299 [00:33<00:43, 3.88it/s] 44%|####3 | 131/299 [00:33<00:43, 3.85it/s] 44%|####4 | 132/299 [00:33<00:42, 3.90it/s] 44%|####4 | 133/299 [00:34<00:42, 3.87it/s] 45%|####4 | 134/299 [00:34<00:42, 3.87it/s] 45%|####5 | 135/299 [00:34<00:42, 3.89it/s] 45%|####5 | 136/299 [00:34<00:41, 3.92it/s] 46%|####5 | 137/299 [00:35<00:41, 3.87it/s] 46%|####6 | 138/299 [00:35<00:41, 3.87it/s] 46%|####6 | 139/299 [00:35<00:41, 3.89it/s] 47%|####6 | 140/299 [00:35<00:40, 3.88it/s] 47%|####7 | 141/299 [00:36<00:40, 3.92it/s] 47%|####7 | 142/299 [00:36<00:40, 3.92it/s] 48%|####7 | 143/299 [00:36<00:39, 3.95it/s] 48%|####8 | 144/299 [00:36<00:38, 3.98it/s] 48%|####8 | 145/299 [00:37<00:39, 3.92it/s] 49%|####8 | 146/299 [00:37<00:39, 3.91it/s] 49%|####9 | 147/299 [00:37<00:38, 3.91it/s] 49%|####9 | 148/299 [00:37<00:38, 3.92it/s] 50%|####9 | 149/299 [00:38<00:37, 3.97it/s] 50%|##### | 150/299 [00:38<00:37, 3.92it/s] 51%|##### | 151/299 [00:38<00:37, 3.98it/s] 51%|##### | 152/299 [00:38<00:37, 3.97it/s] 51%|#####1 | 153/299 [00:39<00:37, 3.93it/s] 52%|#####1 | 154/299 [00:39<00:36, 3.93it/s] 52%|#####1 | 155/299 [00:39<00:36, 3.97it/s] 52%|#####2 | 156/299 [00:39<00:36, 3.93it/s] 53%|#####2 | 157/299 [00:40<00:35, 3.97it/s] 53%|#####2 | 158/299 [00:40<00:35, 3.94it/s] 53%|#####3 | 159/299 [00:40<00:35, 3.89it/s] 54%|#####3 | 160/299 [00:40<00:36, 3.84it/s] 54%|#####3 | 161/299 [00:41<00:35, 3.85it/s] 54%|#####4 | 162/299 [00:41<00:35, 3.90it/s] 55%|#####4 | 163/299 [00:41<00:34, 3.93it/s] 55%|#####4 | 164/299 [00:41<00:34, 3.91it/s] 55%|#####5 | 165/299 [00:42<00:34, 3.93it/s] 56%|#####5 | 166/299 [00:42<00:33, 3.95it/s] 56%|#####5 | 167/299 [00:42<00:33, 3.90it/s] 56%|#####6 | 168/299 [00:43<00:33, 3.86it/s] 57%|#####6 | 169/299 [00:43<00:33, 3.90it/s] 57%|#####6 | 170/299 [00:43<00:33, 3.88it/s] 57%|#####7 | 171/299 [00:43<00:33, 3.87it/s] 58%|#####7 | 172/299 [00:44<00:32, 3.91it/s] 58%|#####7 | 173/299 [00:44<00:32, 3.90it/s] 58%|#####8 | 174/299 [00:44<00:31, 3.91it/s] 59%|#####8 | 175/299 [00:44<00:31, 3.96it/s] 59%|#####8 | 176/299 [00:45<00:31, 3.92it/s] 59%|#####9 | 177/299 [00:45<00:31, 3.92it/s] 60%|#####9 | 178/299 [00:45<00:30, 3.91it/s] 60%|#####9 | 179/299 [00:45<00:31, 3.87it/s] 60%|###### | 180/299 [00:46<00:30, 3.88it/s] 61%|###### | 181/299 [00:46<00:30, 3.90it/s] 61%|###### | 182/299 [00:46<00:30, 3.89it/s] 61%|######1 | 183/299 [00:46<00:29, 3.87it/s] 62%|######1 | 184/299 [00:47<00:29, 3.85it/s] 62%|######1 | 185/299 [00:47<00:29, 3.88it/s] 62%|######2 | 186/299 [00:47<00:29, 3.87it/s] 63%|######2 | 187/299 [00:47<00:29, 3.80it/s] 63%|######2 | 188/299 [00:48<00:29, 3.83it/s] 63%|######3 | 189/299 [00:48<00:28, 3.81it/s] 64%|######3 | 190/299 [00:48<00:28, 3.77it/s] 64%|######3 | 191/299 [00:49<00:29, 3.70it/s] 64%|######4 | 192/299 [00:49<00:28, 3.70it/s] 65%|######4 | 193/299 [00:49<00:28, 3.73it/s] 65%|######4 | 194/299 [00:49<00:27, 3.78it/s] 65%|######5 | 195/299 [00:50<00:27, 3.82it/s] 66%|######5 | 196/299 [00:50<00:26, 3.82it/s] 66%|######5 | 197/299 [00:50<00:26, 3.85it/s] 66%|######6 | 198/299 [00:50<00:26, 3.83it/s] 67%|######6 | 199/299 [00:51<00:26, 3.85it/s] 67%|######6 | 200/299 [00:51<00:25, 3.82it/s] 67%|######7 | 201/299 [00:51<00:25, 3.84it/s] 68%|######7 | 202/299 [00:51<00:25, 3.87it/s] 68%|######7 | 203/299 [00:52<00:24, 3.89it/s] 68%|######8 | 204/299 [00:52<00:24, 3.92it/s] 69%|######8 | 205/299 [00:52<00:23, 3.94it/s] 69%|######8 | 206/299 [00:52<00:23, 3.95it/s] 69%|######9 | 207/299 [00:53<00:23, 3.95it/s] 70%|######9 | 208/299 [00:53<00:23, 3.91it/s] 70%|######9 | 209/299 [00:53<00:22, 3.93it/s] 70%|####### | 210/299 [00:53<00:22, 3.92it/s] 71%|####### | 211/299 [00:54<00:22, 3.91it/s] 71%|####### | 212/299 [00:54<00:22, 3.87it/s] 71%|#######1 | 213/299 [00:54<00:22, 3.88it/s] 72%|#######1 | 214/299 [00:54<00:21, 3.88it/s] 72%|#######1 | 215/299 [00:55<00:21, 3.87it/s] 72%|#######2 | 216/299 [00:55<00:21, 3.87it/s] 73%|#######2 | 217/299 [00:55<00:21, 3.88it/s] 73%|#######2 | 218/299 [00:55<00:20, 3.90it/s] 73%|#######3 | 219/299 [00:56<00:20, 3.89it/s] 74%|#######3 | 220/299 [00:56<00:20, 3.84it/s] 74%|#######3 | 221/299 [00:56<00:20, 3.87it/s] 74%|#######4 | 222/299 [00:56<00:19, 3.87it/s] 75%|#######4 | 223/299 [00:57<00:19, 3.87it/s] 75%|#######4 | 224/299 [00:57<00:19, 3.88it/s] 75%|#######5 | 225/299 [00:57<00:19, 3.84it/s] 76%|#######5 | 226/299 [00:58<00:18, 3.85it/s] 76%|#######5 | 227/299 [00:58<00:18, 3.82it/s] 76%|#######6 | 228/299 [00:58<00:18, 3.82it/s] 77%|#######6 | 229/299 [00:58<00:18, 3.85it/s] 77%|#######6 | 230/299 [00:59<00:17, 3.84it/s] 77%|#######7 | 231/299 [00:59<00:17, 3.79it/s] 78%|#######7 | 232/299 [00:59<00:17, 3.82it/s] 78%|#######7 | 233/299 [00:59<00:17, 3.85it/s] 78%|#######8 | 234/299 [01:00<00:16, 3.89it/s] 79%|#######8 | 235/299 [01:00<00:16, 3.92it/s] 79%|#######8 | 236/299 [01:00<00:16, 3.93it/s] 79%|#######9 | 237/299 [01:00<00:15, 3.95it/s] 80%|#######9 | 238/299 [01:01<00:15, 3.96it/s] 80%|#######9 | 239/299 [01:01<00:15, 3.97it/s] 80%|######## | 240/299 [01:01<00:15, 3.93it/s] 81%|######## | 241/299 [01:01<00:14, 3.93it/s] 81%|######## | 242/299 [01:02<00:14, 3.95it/s] 81%|########1 | 243/299 [01:02<00:14, 3.99it/s] 82%|########1 | 244/299 [01:02<00:13, 3.96it/s] 82%|########1 | 245/299 [01:02<00:13, 3.96it/s] 82%|########2 | 246/299 [01:03<00:13, 3.89it/s] 83%|########2 | 247/299 [01:03<00:13, 3.90it/s] 83%|########2 | 248/299 [01:03<00:13, 3.92it/s] 83%|########3 | 249/299 [01:03<00:12, 3.91it/s] 84%|########3 | 250/299 [01:04<00:12, 3.85it/s] 84%|########3 | 251/299 [01:04<00:12, 3.88it/s] 84%|########4 | 252/299 [01:04<00:12, 3.89it/s] 85%|########4 | 253/299 [01:04<00:11, 3.91it/s] 85%|########4 | 254/299 [01:05<00:11, 3.93it/s] 85%|########5 | 255/299 [01:05<00:11, 3.92it/s] 86%|########5 | 256/299 [01:05<00:11, 3.86it/s] 86%|########5 | 257/299 [01:05<00:10, 3.89it/s] 86%|########6 | 258/299 [01:06<00:10, 3.93it/s] 87%|########6 | 259/299 [01:06<00:10, 3.96it/s] 87%|########6 | 260/299 [01:06<00:09, 3.95it/s] 87%|########7 | 261/299 [01:06<00:09, 3.95it/s] 88%|########7 | 262/299 [01:07<00:09, 3.92it/s] 88%|########7 | 263/299 [01:07<00:09, 3.94it/s] 88%|########8 | 264/299 [01:07<00:08, 3.94it/s] 89%|########8 | 265/299 [01:08<00:08, 3.90it/s] 89%|########8 | 266/299 [01:08<00:08, 3.91it/s] 89%|########9 | 267/299 [01:08<00:08, 3.93it/s] 90%|########9 | 268/299 [01:08<00:07, 3.95it/s] 90%|########9 | 269/299 [01:09<00:07, 3.93it/s] 90%|######### | 270/299 [01:09<00:07, 3.90it/s] 91%|######### | 271/299 [01:09<00:07, 3.91it/s] 91%|######### | 272/299 [01:09<00:06, 3.93it/s] 91%|#########1| 273/299 [01:10<00:06, 3.91it/s] 92%|#########1| 274/299 [01:10<00:06, 3.91it/s] 92%|#########1| 275/299 [01:10<00:06, 3.94it/s] 92%|#########2| 276/299 [01:10<00:05, 3.93it/s] 93%|#########2| 277/299 [01:11<00:05, 3.84it/s] 93%|#########2| 278/299 [01:11<00:05, 3.83it/s] 93%|#########3| 279/299 [01:11<00:05, 3.85it/s] 94%|#########3| 280/299 [01:11<00:04, 3.86it/s] 94%|#########3| 281/299 [01:12<00:04, 3.87it/s] 94%|#########4| 282/299 [01:12<00:04, 3.87it/s] 95%|#########4| 283/299 [01:12<00:04, 3.86it/s] 95%|#########4| 284/299 [01:12<00:03, 3.88it/s] 95%|#########5| 285/299 [01:13<00:03, 3.88it/s] 96%|#########5| 286/299 [01:13<00:03, 3.90it/s] 96%|#########5| 287/299 [01:13<00:03, 3.91it/s] 96%|#########6| 288/299 [01:13<00:02, 3.89it/s] 97%|#########6| 289/299 [01:14<00:02, 3.92it/s] 97%|#########6| 290/299 [01:14<00:02, 3.95it/s] 97%|#########7| 291/299 [01:14<00:02, 3.96it/s] 98%|#########7| 292/299 [01:14<00:01, 3.91it/s] 98%|#########7| 293/299 [01:15<00:01, 3.91it/s] 98%|#########8| 294/299 [01:15<00:01, 3.92it/s] 99%|#########8| 295/299 [01:15<00:01, 3.94it/s] 99%|#########8| 296/299 [01:15<00:00, 3.92it/s] 99%|#########9| 297/299 [01:16<00:00, 3.93it/s] 100%|#########9| 298/299 [01:16<00:00, 3.78it/s] 100%|##########| 299/299 [01:16<00:00, 3.81it/s] 100%|##########| 299/299 [01:16<00:00, 3.90it/s] The video is ready
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