camenduru / magictime
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDqv2pbvggbdrgp0cetxabk0v93gStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 149651313
- width
- 512
- height
- 512
- prompt
- Bean sprouts grow and mature from seeds.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "149651313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "149651313", width: 512, height: 512, prompt: "Bean sprouts grow and mature from seeds.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "149651313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "149651313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:01:08.404091Z", "created_at": "2024-04-13T11:59:54.459000Z", "data_removed": false, "error": null, "id": "qv2pbvggbdrgp0cetxabk0v93g", "input": { "seed": "149651313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 149651313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:02<01:05, 2.74s/it]\n 8%|▊ | 2/25 [00:05<01:02, 2.74s/it]\n 12%|█▏ | 3/25 [00:08<01:00, 2.74s/it]\n 16%|█▌ | 4/25 [00:10<00:57, 2.74s/it]\n 20%|██ | 5/25 [00:13<00:54, 2.74s/it]\n 24%|██▍ | 6/25 [00:16<00:52, 2.74s/it]\n 28%|██▊ | 7/25 [00:19<00:49, 2.75s/it]\n 32%|███▏ | 8/25 [00:21<00:46, 2.75s/it]\n 36%|███▌ | 9/25 [00:24<00:43, 2.75s/it]\n 40%|████ | 10/25 [00:27<00:41, 2.75s/it]\n 44%|████▍ | 11/25 [00:30<00:38, 2.75s/it]\n 48%|████▊ | 12/25 [00:32<00:35, 2.75s/it]\n 52%|█████▏ | 13/25 [00:35<00:33, 2.75s/it]\n 56%|█████▌ | 14/25 [00:38<00:30, 2.75s/it]\n 60%|██████ | 15/25 [00:41<00:27, 2.75s/it]\n 64%|██████▍ | 16/25 [00:43<00:24, 2.75s/it]\n 68%|██████▊ | 17/25 [00:46<00:22, 2.75s/it]\n 72%|███████▏ | 18/25 [00:49<00:19, 2.75s/it]\n 76%|███████▌ | 19/25 [00:52<00:16, 2.75s/it]\n 80%|████████ | 20/25 [00:54<00:13, 2.76s/it]\n 84%|████████▍ | 21/25 [00:57<00:11, 2.76s/it]\n 88%|████████▊ | 22/25 [01:00<00:08, 2.76s/it]\n 92%|█████████▏| 23/25 [01:03<00:05, 2.76s/it]\n 96%|█████████▌| 24/25 [01:06<00:02, 2.76s/it]\n100%|██████████| 25/25 [01:08<00:00, 2.76s/it]\n100%|██████████| 25/25 [01:08<00:00, 2.75s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 38.65it/s]\n 56%|█████▋ | 9/16 [00:00<00:00, 16.96it/s]\n 75%|███████▌ | 12/16 [00:00<00:00, 14.38it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 13.47it/s]\n100%|██████████| 16/16 [00:01<00:00, 12.82it/s]\n100%|██████████| 16/16 [00:01<00:00, 14.58it/s]", "metrics": { "predict_time": 73.906868, "total_time": 73.945091 }, "output": "https://replicate.delivery/pbxt/haq0losImP5eHSPRZBabffPMN7pPCyRnKumjohjBkDxHwEUlA/sample.mp4", "started_at": "2024-04-13T11:59:54.497223Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/qv2pbvggbdrgp0cetxabk0v93g", "cancel": "https://api.replicate.com/v1/predictions/qv2pbvggbdrgp0cetxabk0v93g/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 149651313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<01:05, 2.74s/it] 8%|▊ | 2/25 [00:05<01:02, 2.74s/it] 12%|█▏ | 3/25 [00:08<01:00, 2.74s/it] 16%|█▌ | 4/25 [00:10<00:57, 2.74s/it] 20%|██ | 5/25 [00:13<00:54, 2.74s/it] 24%|██▍ | 6/25 [00:16<00:52, 2.74s/it] 28%|██▊ | 7/25 [00:19<00:49, 2.75s/it] 32%|███▏ | 8/25 [00:21<00:46, 2.75s/it] 36%|███▌ | 9/25 [00:24<00:43, 2.75s/it] 40%|████ | 10/25 [00:27<00:41, 2.75s/it] 44%|████▍ | 11/25 [00:30<00:38, 2.75s/it] 48%|████▊ | 12/25 [00:32<00:35, 2.75s/it] 52%|█████▏ | 13/25 [00:35<00:33, 2.75s/it] 56%|█████▌ | 14/25 [00:38<00:30, 2.75s/it] 60%|██████ | 15/25 [00:41<00:27, 2.75s/it] 64%|██████▍ | 16/25 [00:43<00:24, 2.75s/it] 68%|██████▊ | 17/25 [00:46<00:22, 2.75s/it] 72%|███████▏ | 18/25 [00:49<00:19, 2.75s/it] 76%|███████▌ | 19/25 [00:52<00:16, 2.75s/it] 80%|████████ | 20/25 [00:54<00:13, 2.76s/it] 84%|████████▍ | 21/25 [00:57<00:11, 2.76s/it] 88%|████████▊ | 22/25 [01:00<00:08, 2.76s/it] 92%|█████████▏| 23/25 [01:03<00:05, 2.76s/it] 96%|█████████▌| 24/25 [01:06<00:02, 2.76s/it] 100%|██████████| 25/25 [01:08<00:00, 2.76s/it] 100%|██████████| 25/25 [01:08<00:00, 2.75s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 38.65it/s] 56%|█████▋ | 9/16 [00:00<00:00, 16.96it/s] 75%|███████▌ | 12/16 [00:00<00:00, 14.38it/s] 88%|████████▊ | 14/16 [00:00<00:00, 13.47it/s] 100%|██████████| 16/16 [00:01<00:00, 12.82it/s] 100%|██████████| 16/16 [00:01<00:00, 14.58it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cID4m6ss3r8ysrgm0cetxbtfn1z3cStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Bean sprouts grow and mature from seeds.
- dreambooth
- RealisticVisionV60B1_v51VAE.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RealisticVisionV60B1_v51VAE.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Bean sprouts grow and mature from seeds.", dreambooth: "RealisticVisionV60B1_v51VAE.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RealisticVisionV60B1_v51VAE.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RealisticVisionV60B1_v51VAE.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:05:36.841168Z", "created_at": "2024-04-13T12:03:09.174000Z", "data_removed": false, "error": null, "id": "4m6ss3r8ysrgm0cetxbtfn1z3c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RealisticVisionV60B1_v51VAE.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:47, 1.99s/it]\n 8%|▊ | 2/25 [00:03<00:42, 1.86s/it]\n 12%|█▏ | 3/25 [00:05<00:40, 1.82s/it]\n 16%|█▌ | 4/25 [00:07<00:37, 1.80s/it]\n 20%|██ | 5/25 [00:09<00:35, 1.79s/it]\n 24%|██▍ | 6/25 [00:10<00:33, 1.78s/it]\n 28%|██▊ | 7/25 [00:12<00:32, 1.78s/it]\n 32%|███▏ | 8/25 [00:14<00:30, 1.78s/it]\n 36%|███▌ | 9/25 [00:16<00:28, 1.78s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.78s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it]\n 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it]\n 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it]\n 56%|█████▌ | 14/25 [00:25<00:19, 1.77s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.77s/it]\n 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it]\n 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it]\n 72%|███████▏ | 18/25 [00:32<00:12, 1.77s/it]\n 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it]\n 80%|████████ | 20/25 [00:35<00:08, 1.77s/it]\n 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it]\n 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it]\n 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it]\n 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.78s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:02, 7.10it/s]\n 38%|███▊ | 6/16 [00:00<00:00, 27.77it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 22.17it/s]\n 81%|████████▏ | 13/16 [00:00<00:00, 20.71it/s]\n100%|██████████| 16/16 [00:00<00:00, 19.90it/s]\n100%|██████████| 16/16 [00:00<00:00, 20.27it/s]", "metrics": { "predict_time": 54.014115, "total_time": 147.667168 }, "output": "https://replicate.delivery/pbxt/dhYlZL1e3TXmISKaoQYykUleo0prVG84xfeeBscItPdGiTQVC/sample.mp4", "started_at": "2024-04-13T12:04:42.827053Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4m6ss3r8ysrgm0cetxbtfn1z3c", "cancel": "https://api.replicate.com/v1/predictions/4m6ss3r8ysrgm0cetxbtfn1z3c/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:47, 1.99s/it] 8%|▊ | 2/25 [00:03<00:42, 1.86s/it] 12%|█▏ | 3/25 [00:05<00:40, 1.82s/it] 16%|█▌ | 4/25 [00:07<00:37, 1.80s/it] 20%|██ | 5/25 [00:09<00:35, 1.79s/it] 24%|██▍ | 6/25 [00:10<00:33, 1.78s/it] 28%|██▊ | 7/25 [00:12<00:32, 1.78s/it] 32%|███▏ | 8/25 [00:14<00:30, 1.78s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.78s/it] 40%|████ | 10/25 [00:17<00:26, 1.78s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it] 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it] 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it] 56%|█████▌ | 14/25 [00:25<00:19, 1.77s/it] 60%|██████ | 15/25 [00:26<00:17, 1.77s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it] 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it] 72%|███████▏ | 18/25 [00:32<00:12, 1.77s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it] 80%|████████ | 20/25 [00:35<00:08, 1.77s/it] 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it] 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it] 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.78s/it] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 7.10it/s] 38%|███▊ | 6/16 [00:00<00:00, 27.77it/s] 62%|██████▎ | 10/16 [00:00<00:00, 22.17it/s] 81%|████████▏ | 13/16 [00:00<00:00, 20.71it/s] 100%|██████████| 16/16 [00:00<00:00, 19.90it/s] 100%|██████████| 16/16 [00:00<00:00, 20.27it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDxttgvv5rwxrgg0cetxm87gec50StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:24:04.786488Z", "created_at": "2024-04-13T12:22:28.327000Z", "data_removed": false, "error": null, "id": "xttgvv5rwxrgg0cetxm87gec50", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Cherry blossoms transitioning from tightly closed buds to a peak state of bloom. The progression moves through stages of bud swelling, petal exposure, and gradual opening, culminating in a full and vibrant display of open blossoms.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.72s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.72s/it]\n 12%|█▏ | 3/25 [00:05<00:37, 1.72s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.72s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.73s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.73s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.73s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.73s/it]\n 40%|████ | 10/25 [00:17<00:25, 1.73s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.73s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it]\n 60%|██████ | 15/25 [00:25<00:17, 1.73s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.73s/it]\n 76%|███████▌ | 19/25 [00:32<00:10, 1.73s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.73s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.73s/it]\n 88%|████████▊ | 22/25 [00:38<00:05, 1.73s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.73s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.73s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.60it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.56it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.56it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.67it/s]", "metrics": { "predict_time": 52.224938, "total_time": 96.459488 }, "output": "https://replicate.delivery/pbxt/HHsveClmISW3Oag2BlG5odROfNfcStq4327zeo2dM3ON2KoKB/sample.mp4", "started_at": "2024-04-13T12:23:12.561550Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xttgvv5rwxrgg0cetxm87gec50", "cancel": "https://api.replicate.com/v1/predictions/xttgvv5rwxrgg0cetxm87gec50/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.72s/it] 8%|▊ | 2/25 [00:03<00:39, 1.72s/it] 12%|█▏ | 3/25 [00:05<00:37, 1.72s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.72s/it] 20%|██ | 5/25 [00:08<00:34, 1.73s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.73s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.73s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.73s/it] 40%|████ | 10/25 [00:17<00:25, 1.73s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.73s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it] 60%|██████ | 15/25 [00:25<00:17, 1.73s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.73s/it] 76%|███████▌ | 19/25 [00:32<00:10, 1.73s/it] 80%|████████ | 20/25 [00:34<00:08, 1.73s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.73s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.73s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.73s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.73s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.60it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.56it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.56it/s] 100%|██████████| 16/16 [00:00<00:00, 23.67it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cID2q39yk0t41rgg0cetxnt806yk8StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- An ice cube is melting.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "An ice cube is melting.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "An ice cube is melting.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "An ice cube is melting.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "An ice cube is melting.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:25:51.925747Z", "created_at": "2024-04-13T12:25:04.288000Z", "data_removed": false, "error": null, "id": "2q39yk0t41rgg0cetxnt806yk8", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "An ice cube is melting.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.72s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.72s/it]\n 12%|█▏ | 3/25 [00:05<00:37, 1.72s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.72s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.72s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.72s/it]\n 28%|██▊ | 7/25 [00:12<00:30, 1.72s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.72s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.72s/it]\n 40%|████ | 10/25 [00:17<00:25, 1.73s/it]\n 44%|████▍ | 11/25 [00:18<00:24, 1.73s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it]\n 60%|██████ | 15/25 [00:25<00:17, 1.73s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.73s/it]\n 76%|███████▌ | 19/25 [00:32<00:10, 1.73s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.73s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.73s/it]\n 88%|████████▊ | 22/25 [00:37<00:05, 1.73s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.73s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.73s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.73s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.73s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.79it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.61it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.61it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.73it/s]", "metrics": { "predict_time": 47.603948, "total_time": 47.637747 }, "output": "https://replicate.delivery/pbxt/IOOtk2Yey92tS6sfDNjMKXo924FJONMQXUSCEBLF6LzPvCqSA/sample.mp4", "started_at": "2024-04-13T12:25:04.321799Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2q39yk0t41rgg0cetxnt806yk8", "cancel": "https://api.replicate.com/v1/predictions/2q39yk0t41rgg0cetxnt806yk8/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.72s/it] 8%|▊ | 2/25 [00:03<00:39, 1.72s/it] 12%|█▏ | 3/25 [00:05<00:37, 1.72s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.72s/it] 20%|██ | 5/25 [00:08<00:34, 1.72s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.72s/it] 28%|██▊ | 7/25 [00:12<00:30, 1.72s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.72s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.72s/it] 40%|████ | 10/25 [00:17<00:25, 1.73s/it] 44%|████▍ | 11/25 [00:18<00:24, 1.73s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it] 60%|██████ | 15/25 [00:25<00:17, 1.73s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.73s/it] 76%|███████▌ | 19/25 [00:32<00:10, 1.73s/it] 80%|████████ | 20/25 [00:34<00:08, 1.73s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.73s/it] 88%|████████▊ | 22/25 [00:37<00:05, 1.73s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.73s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.73s/it] 100%|██████████| 25/25 [00:43<00:00, 1.73s/it] 100%|██████████| 25/25 [00:43<00:00, 1.73s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.79it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.61it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.61it/s] 100%|██████████| 16/16 [00:00<00:00, 23.73it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cID2k8vgvmtfxrgp0cetxnrf43ttmStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1491365413
- width
- 512
- height
- 512
- prompt
- A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1491365413", "width": 512, "height": 512, "prompt": "A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1491365413", width: 512, height: 512, prompt: "A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1491365413", "width": 512, "height": 512, "prompt": "A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1491365413", "width": 512, "height": 512, "prompt": "A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:27:37.622120Z", "created_at": "2024-04-13T12:25:37.151000Z", "data_removed": false, "error": null, "id": "2k8vgvmtfxrgp0cetxnrf43ttm", "input": { "seed": "1491365413", "width": 512, "height": 512, "prompt": "A mesmerizing time-lapse showcasing the elegant unfolding of pink plum buds blossoms, capturing the gradual bloom from tightly sealed buds to fully open flowers.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1491365413\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.73s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.73s/it]\n 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.73s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.73s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.73s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.73s/it]\n 40%|████ | 10/25 [00:17<00:25, 1.73s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.73s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it]\n 60%|██████ | 15/25 [00:25<00:17, 1.73s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it]\n 76%|███████▌ | 19/25 [00:32<00:10, 1.74s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.74s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it]\n 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.73s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.37it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.45it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.48it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.55it/s]", "metrics": { "predict_time": 52.912224, "total_time": 120.47112 }, "output": "https://replicate.delivery/pbxt/jEUiSls9V7pJMd9w8UwJaAxqoQuBerEXElmOLiyNaOScYBVJA/sample.mp4", "started_at": "2024-04-13T12:26:44.709896Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2k8vgvmtfxrgp0cetxnrf43ttm", "cancel": "https://api.replicate.com/v1/predictions/2k8vgvmtfxrgp0cetxnrf43ttm/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1491365413 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.73s/it] 8%|▊ | 2/25 [00:03<00:39, 1.73s/it] 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it] 20%|██ | 5/25 [00:08<00:34, 1.73s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.73s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.73s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.73s/it] 40%|████ | 10/25 [00:17<00:25, 1.73s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.73s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.73s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.73s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.73s/it] 60%|██████ | 15/25 [00:25<00:17, 1.73s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.73s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.73s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:32<00:10, 1.74s/it] 80%|████████ | 20/25 [00:34<00:08, 1.74s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.73s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.37it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.45it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.48it/s] 100%|██████████| 16/16 [00:00<00:00, 23.55it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDt87rejwwh9rgj0cetxct55rcbgStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Bean sprouts grow and mature from seeds.
- dreambooth
- RcnzCartoon.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RcnzCartoon.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Bean sprouts grow and mature from seeds.", dreambooth: "RcnzCartoon.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RcnzCartoon.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RcnzCartoon.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:06:51.732728Z", "created_at": "2024-04-13T12:05:58.026000Z", "data_removed": false, "error": null, "id": "t87rejwwh9rgj0cetxct55rcbg", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "RcnzCartoon.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:42, 1.77s/it]\n 8%|▊ | 2/25 [00:03<00:40, 1.77s/it]\n 12%|█▏ | 3/25 [00:05<00:39, 1.77s/it]\n 16%|█▌ | 4/25 [00:07<00:37, 1.77s/it]\n 20%|██ | 5/25 [00:08<00:35, 1.77s/it]\n 24%|██▍ | 6/25 [00:10<00:33, 1.77s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.77s/it]\n 32%|███▏ | 8/25 [00:14<00:30, 1.77s/it]\n 36%|███▌ | 9/25 [00:15<00:28, 1.77s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.77s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it]\n 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it]\n 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.77s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.77s/it]\n 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it]\n 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.77s/it]\n 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it]\n 80%|████████ | 20/25 [00:35<00:08, 1.77s/it]\n 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it]\n 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it]\n 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it]\n 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.77s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 46.95it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 24.59it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 21.69it/s]\n100%|██████████| 16/16 [00:00<00:00, 22.77it/s]", "metrics": { "predict_time": 53.68822, "total_time": 53.706728 }, "output": "https://replicate.delivery/pbxt/jxpWxYaBfIyHbKqF96IC3hO90yUqqqpWyJhi86vAx10tOBVJA/sample.mp4", "started_at": "2024-04-13T12:05:58.044508Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/t87rejwwh9rgj0cetxct55rcbg", "cancel": "https://api.replicate.com/v1/predictions/t87rejwwh9rgj0cetxct55rcbg/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:42, 1.77s/it] 8%|▊ | 2/25 [00:03<00:40, 1.77s/it] 12%|█▏ | 3/25 [00:05<00:39, 1.77s/it] 16%|█▌ | 4/25 [00:07<00:37, 1.77s/it] 20%|██ | 5/25 [00:08<00:35, 1.77s/it] 24%|██▍ | 6/25 [00:10<00:33, 1.77s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.77s/it] 32%|███▏ | 8/25 [00:14<00:30, 1.77s/it] 36%|███▌ | 9/25 [00:15<00:28, 1.77s/it] 40%|████ | 10/25 [00:17<00:26, 1.77s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it] 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it] 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.77s/it] 60%|██████ | 15/25 [00:26<00:17, 1.77s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it] 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.77s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it] 80%|████████ | 20/25 [00:35<00:08, 1.77s/it] 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it] 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it] 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.77s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 46.95it/s] 62%|██████▎ | 10/16 [00:00<00:00, 24.59it/s] 88%|████████▊ | 14/16 [00:00<00:00, 21.69it/s] 100%|██████████| 16/16 [00:00<00:00, 22.77it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDebe86tk3s9rgg0cetxpbz042f4StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking\'s completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:28:25.863163Z", "created_at": "2024-04-13T12:26:28.682000Z", "data_removed": false, "error": null, "id": "ebe86tk3s9rgg0cetxpbz042f4", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into bread rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.73s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.73s/it]\n 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.73s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.74s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.74s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it]\n 76%|███████▌ | 19/25 [00:32<00:10, 1.74s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.74s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it]\n 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.45it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.48it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.46it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.58it/s]", "metrics": { "predict_time": 47.958111, "total_time": 117.181163 }, "output": "https://replicate.delivery/pbxt/cvZctpvbfhRDRyE4csqXeH2yc47BGIzThefAAeGlSFeBasgqE/sample.mp4", "started_at": "2024-04-13T12:27:37.905052Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ebe86tk3s9rgg0cetxpbz042f4", "cancel": "https://api.replicate.com/v1/predictions/ebe86tk3s9rgg0cetxpbz042f4/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.73s/it] 8%|▊ | 2/25 [00:03<00:39, 1.73s/it] 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it] 20%|██ | 5/25 [00:08<00:34, 1.73s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it] 40%|████ | 10/25 [00:17<00:26, 1.74s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it] 60%|██████ | 15/25 [00:26<00:17, 1.74s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:32<00:10, 1.74s/it] 80%|████████ | 20/25 [00:34<00:08, 1.74s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.45it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.48it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.46it/s] 100%|██████████| 16/16 [00:00<00:00, 23.58it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDbf7kdky5knrgm0cetxpbn62w54StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:29:14.173879Z", "created_at": "2024-04-13T12:26:53.725000Z", "data_removed": false, "error": null, "id": "bf7kdky5knrgm0cetxpbn62w54", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of cupcakes progressing through the baking process: starting from liquid batter in cupcake liners, gradually rising with the formation of domes, to fully baked cupcakes with golden, crackled domes.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.73s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.73s/it]\n 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.73s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.74s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.74s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.74s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it]\n 76%|███████▌ | 19/25 [00:33<00:10, 1.74s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.74s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it]\n 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.42it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.46it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.47it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.59it/s]", "metrics": { "predict_time": 48.0404, "total_time": 140.448879 }, "output": "https://replicate.delivery/pbxt/siuIqrKOSwqcC5iW6MbgmDLTrlWySDRqHzGNpOwrGXWmsgqE/sample.mp4", "started_at": "2024-04-13T12:28:26.133479Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bf7kdky5knrgm0cetxpbn62w54", "cancel": "https://api.replicate.com/v1/predictions/bf7kdky5knrgm0cetxpbn62w54/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.73s/it] 8%|▊ | 2/25 [00:03<00:39, 1.73s/it] 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it] 20%|██ | 5/25 [00:08<00:34, 1.73s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.74s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it] 40%|████ | 10/25 [00:17<00:26, 1.74s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it] 60%|██████ | 15/25 [00:26<00:17, 1.74s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.74s/it] 80%|████████ | 20/25 [00:34<00:08, 1.74s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.42it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.46it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.47it/s] 100%|██████████| 16/16 [00:00<00:00, 23.59it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDfqv0p8a19srgj0cetxq9q4b004StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:30:59.882898Z", "created_at": "2024-04-13T12:28:30.926000Z", "data_removed": false, "error": null, "id": "fqv0p8a19srgj0cetxq9q4b004", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of a yellow ranunculus flower transitioning from a tightly closed bud to a fully bloomed state, with measured petal separation and unfurling observed across the sequence.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:41, 1.73s/it]\n 8%|▊ | 2/25 [00:03<00:39, 1.73s/it]\n 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it]\n 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it]\n 20%|██ | 5/25 [00:08<00:34, 1.73s/it]\n 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it]\n 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it]\n 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.74s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it]\n 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it]\n 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.74s/it]\n 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it]\n 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it]\n 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it]\n 76%|███████▌ | 19/25 [00:33<00:10, 1.74s/it]\n 80%|████████ | 20/25 [00:34<00:08, 1.74s/it]\n 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it]\n 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it]\n 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it]\n 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n100%|██████████| 25/25 [00:43<00:00, 1.74s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 48.39it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 25.42it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 22.45it/s]\n100%|██████████| 16/16 [00:00<00:00, 23.56it/s]", "metrics": { "predict_time": 52.527085, "total_time": 148.956898 }, "output": "https://replicate.delivery/pbxt/7lCd7BTrTi57ItyjbtKe5HhcV1si5BTDou3zfQsI4jKC0CqSA/sample.mp4", "started_at": "2024-04-13T12:30:07.355813Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fqv0p8a19srgj0cetxq9q4b004", "cancel": "https://api.replicate.com/v1/predictions/fqv0p8a19srgj0cetxq9q4b004/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:41, 1.73s/it] 8%|▊ | 2/25 [00:03<00:39, 1.73s/it] 12%|█▏ | 3/25 [00:05<00:38, 1.73s/it] 16%|█▌ | 4/25 [00:06<00:36, 1.73s/it] 20%|██ | 5/25 [00:08<00:34, 1.73s/it] 24%|██▍ | 6/25 [00:10<00:32, 1.73s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.74s/it] 32%|███▏ | 8/25 [00:13<00:29, 1.74s/it] 36%|███▌ | 9/25 [00:15<00:27, 1.74s/it] 40%|████ | 10/25 [00:17<00:26, 1.74s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.74s/it] 48%|████▊ | 12/25 [00:20<00:22, 1.74s/it] 52%|█████▏ | 13/25 [00:22<00:20, 1.74s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.74s/it] 60%|██████ | 15/25 [00:26<00:17, 1.74s/it] 64%|██████▍ | 16/25 [00:27<00:15, 1.74s/it] 68%|██████▊ | 17/25 [00:29<00:13, 1.74s/it] 72%|███████▏ | 18/25 [00:31<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.74s/it] 80%|████████ | 20/25 [00:34<00:08, 1.74s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.74s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.74s/it] 92%|█████████▏| 23/25 [00:39<00:03, 1.74s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 48.39it/s] 62%|██████▎ | 10/16 [00:00<00:00, 25.42it/s] 88%|████████▊ | 14/16 [00:00<00:00, 22.45it/s] 100%|██████████| 16/16 [00:00<00:00, 23.56it/s]
Prediction
camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9cIDxpvvy2v3q5rgj0cetxs84zg4s0StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.
- dreambooth
- ToonYou_beta6.safetensors
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", dreambooth: "ToonYou_beta6.safetensors", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking\'s completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T12:34:45.536580Z", "created_at": "2024-04-13T12:33:01.881000Z", "data_removed": false, "error": null, "id": "xpvvy2v3q5rgj0cetxs84zg4s0", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Time-lapse of dough balls transforming into Croissant rolls: Begins with smooth, proofed dough, gradually expands in early baking, becomes taut and voluminous, and finally browns and fully expands to signal the baking's completion.", "dreambooth": "ToonYou_beta6.safetensors", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:01<00:45, 1.91s/it]\n 8%|▊ | 2/25 [00:03<00:42, 1.83s/it]\n 12%|█▏ | 3/25 [00:05<00:39, 1.80s/it]\n 16%|█▌ | 4/25 [00:07<00:37, 1.79s/it]\n 20%|██ | 5/25 [00:09<00:35, 1.78s/it]\n 24%|██▍ | 6/25 [00:10<00:33, 1.78s/it]\n 28%|██▊ | 7/25 [00:12<00:31, 1.78s/it]\n 32%|███▏ | 8/25 [00:14<00:30, 1.78s/it]\n 36%|███▌ | 9/25 [00:16<00:28, 1.77s/it]\n 40%|████ | 10/25 [00:17<00:26, 1.77s/it]\n 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it]\n 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it]\n 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it]\n 56%|█████▌ | 14/25 [00:24<00:19, 1.77s/it]\n 60%|██████ | 15/25 [00:26<00:17, 1.77s/it]\n 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it]\n 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it]\n 72%|███████▏ | 18/25 [00:32<00:12, 1.77s/it]\n 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it]\n 80%|████████ | 20/25 [00:35<00:08, 1.77s/it]\n 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it]\n 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it]\n 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it]\n 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.77s/it]\n100%|██████████| 25/25 [00:44<00:00, 1.78s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:02, 7.23it/s]\n 38%|███▊ | 6/16 [00:00<00:00, 27.96it/s]\n 62%|██████▎ | 10/16 [00:00<00:00, 22.19it/s]\n 81%|████████▏ | 13/16 [00:00<00:00, 20.70it/s]\n100%|██████████| 16/16 [00:00<00:00, 19.87it/s]\n100%|██████████| 16/16 [00:00<00:00, 20.28it/s]", "metrics": { "predict_time": 49.505346, "total_time": 103.65558 }, "output": "https://replicate.delivery/pbxt/Mq4jT8S75e22WagACFC9BlIhOs8VkTtyGTXvEVYrOCwybBVJA/sample.mp4", "started_at": "2024-04-13T12:33:56.031234Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xpvvy2v3q5rgj0cetxs84zg4s0", "cancel": "https://api.replicate.com/v1/predictions/xpvvy2v3q5rgj0cetxs84zg4s0/cancel" }, "version": "91e4bb80b45832b5bafdbc10d94fd1d364d0d6ad80f5b1498fcb25d217cb3a9c" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:45, 1.91s/it] 8%|▊ | 2/25 [00:03<00:42, 1.83s/it] 12%|█▏ | 3/25 [00:05<00:39, 1.80s/it] 16%|█▌ | 4/25 [00:07<00:37, 1.79s/it] 20%|██ | 5/25 [00:09<00:35, 1.78s/it] 24%|██▍ | 6/25 [00:10<00:33, 1.78s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.78s/it] 32%|███▏ | 8/25 [00:14<00:30, 1.78s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.77s/it] 40%|████ | 10/25 [00:17<00:26, 1.77s/it] 44%|████▍ | 11/25 [00:19<00:24, 1.77s/it] 48%|████▊ | 12/25 [00:21<00:23, 1.77s/it] 52%|█████▏ | 13/25 [00:23<00:21, 1.77s/it] 56%|█████▌ | 14/25 [00:24<00:19, 1.77s/it] 60%|██████ | 15/25 [00:26<00:17, 1.77s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.77s/it] 68%|██████▊ | 17/25 [00:30<00:14, 1.77s/it] 72%|███████▏ | 18/25 [00:32<00:12, 1.77s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.77s/it] 80%|████████ | 20/25 [00:35<00:08, 1.77s/it] 84%|████████▍ | 21/25 [00:37<00:07, 1.77s/it] 88%|████████▊ | 22/25 [00:39<00:05, 1.77s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.77s/it] 96%|█████████▌| 24/25 [00:42<00:01, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.77s/it] 100%|██████████| 25/25 [00:44<00:00, 1.78s/it] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 7.23it/s] 38%|███▊ | 6/16 [00:00<00:00, 27.96it/s] 62%|██████▎ | 10/16 [00:00<00:00, 22.19it/s] 81%|████████▏ | 13/16 [00:00<00:00, 20.70it/s] 100%|██████████| 16/16 [00:00<00:00, 19.87it/s] 100%|██████████| 16/16 [00:00<00:00, 20.28it/s]
Prediction
camenduru/magictime:07cfe8a58e98a111ead097bb8cd66bc6a8e2219a03eb024c4332fdcf46b94afcIDxpjs97aq49rgm0cetx3tmxe0bgStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 1496541313
- width
- 512
- height
- 512
- prompt
- Bean sprouts grow and mature from seeds.
- dreambooth
- ToonYou_beta6.safetensors
- motion_module
- motion_module.ckpt
- negative_prompt
- worst quality, low quality, letterboxed
{ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "motion_module": "motion_module.ckpt", "negative_prompt": "worst quality, low quality, letterboxed" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/magictime:07cfe8a58e98a111ead097bb8cd66bc6a8e2219a03eb024c4332fdcf46b94afc", { input: { seed: "1496541313", width: 512, height: 512, prompt: "Bean sprouts grow and mature from seeds.", dreambooth: "ToonYou_beta6.safetensors", motion_module: "motion_module.ckpt", negative_prompt: "worst quality, low quality, letterboxed" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run camenduru/magictime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/magictime:07cfe8a58e98a111ead097bb8cd66bc6a8e2219a03eb024c4332fdcf46b94afc", input={ "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "motion_module": "motion_module.ckpt", "negative_prompt": "worst quality, low quality, letterboxed" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run camenduru/magictime 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": "camenduru/magictime:07cfe8a58e98a111ead097bb8cd66bc6a8e2219a03eb024c4332fdcf46b94afc", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "motion_module": "motion_module.ckpt", "negative_prompt": "worst quality, low quality, letterboxed" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-04-13T11:51:20.211191Z", "created_at": "2024-04-13T11:46:00.610000Z", "data_removed": false, "error": null, "id": "xpjs97aq49rgm0cetx3tmxe0bg", "input": { "seed": "1496541313", "width": 512, "height": 512, "prompt": "Bean sprouts grow and mature from seeds.", "dreambooth": "ToonYou_beta6.safetensors", "motion_module": "motion_module.ckpt", "negative_prompt": "worst quality, low quality, letterboxed" }, "logs": "### seed: 1496541313\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:02<01:07, 2.82s/it]\n 8%|▊ | 2/25 [00:05<01:03, 2.76s/it]\n 12%|█▏ | 3/25 [00:08<01:00, 2.75s/it]\n 16%|█▌ | 4/25 [00:11<00:57, 2.75s/it]\n 20%|██ | 5/25 [00:13<00:55, 2.75s/it]\n 24%|██▍ | 6/25 [00:16<00:52, 2.75s/it]\n 28%|██▊ | 7/25 [00:19<00:49, 2.75s/it]\n 32%|███▏ | 8/25 [00:22<00:46, 2.75s/it]\n 36%|███▌ | 9/25 [00:24<00:43, 2.75s/it]\n 40%|████ | 10/25 [00:27<00:41, 2.74s/it]\n 44%|████▍ | 11/25 [00:30<00:38, 2.74s/it]\n 48%|████▊ | 12/25 [00:32<00:35, 2.75s/it]\n 52%|█████▏ | 13/25 [00:35<00:32, 2.75s/it]\n 56%|█████▌ | 14/25 [00:38<00:30, 2.75s/it]\n 60%|██████ | 15/25 [00:41<00:27, 2.75s/it]\n 64%|██████▍ | 16/25 [00:44<00:24, 2.75s/it]\n 68%|██████▊ | 17/25 [00:46<00:22, 2.75s/it]\n 72%|███████▏ | 18/25 [00:49<00:19, 2.75s/it]\n 76%|███████▌ | 19/25 [00:52<00:16, 2.75s/it]\n 80%|████████ | 20/25 [00:55<00:13, 2.76s/it]\n 84%|████████▍ | 21/25 [00:57<00:11, 2.76s/it]\n 88%|████████▊ | 22/25 [01:00<00:08, 2.76s/it]\n 92%|█████████▏| 23/25 [01:03<00:05, 2.76s/it]\n 96%|█████████▌| 24/25 [01:06<00:02, 2.76s/it]\n100%|██████████| 25/25 [01:08<00:00, 2.76s/it]\n100%|██████████| 25/25 [01:08<00:00, 2.75s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 31%|███▏ | 5/16 [00:00<00:00, 35.27it/s]\n 56%|█████▋ | 9/16 [00:00<00:00, 16.61it/s]\n 75%|███████▌ | 12/16 [00:00<00:00, 14.21it/s]\n 88%|████████▊ | 14/16 [00:00<00:00, 13.35it/s]\n100%|██████████| 16/16 [00:01<00:00, 12.74it/s]\n100%|██████████| 16/16 [00:01<00:00, 14.40it/s]", "metrics": { "predict_time": 74.898709, "total_time": 319.601191 }, "output": "https://replicate.delivery/pbxt/OtpFsf7A39zFYSxYkuAIieieA4uS7zqjtW1zvceR3gAe2RQVC/sample.mp4", "started_at": "2024-04-13T11:50:05.312482Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xpjs97aq49rgm0cetx3tmxe0bg", "cancel": "https://api.replicate.com/v1/predictions/xpjs97aq49rgm0cetx3tmxe0bg/cancel" }, "version": "07cfe8a58e98a111ead097bb8cd66bc6a8e2219a03eb024c4332fdcf46b94afc" }
Generated in### seed: 1496541313 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<01:07, 2.82s/it] 8%|▊ | 2/25 [00:05<01:03, 2.76s/it] 12%|█▏ | 3/25 [00:08<01:00, 2.75s/it] 16%|█▌ | 4/25 [00:11<00:57, 2.75s/it] 20%|██ | 5/25 [00:13<00:55, 2.75s/it] 24%|██▍ | 6/25 [00:16<00:52, 2.75s/it] 28%|██▊ | 7/25 [00:19<00:49, 2.75s/it] 32%|███▏ | 8/25 [00:22<00:46, 2.75s/it] 36%|███▌ | 9/25 [00:24<00:43, 2.75s/it] 40%|████ | 10/25 [00:27<00:41, 2.74s/it] 44%|████▍ | 11/25 [00:30<00:38, 2.74s/it] 48%|████▊ | 12/25 [00:32<00:35, 2.75s/it] 52%|█████▏ | 13/25 [00:35<00:32, 2.75s/it] 56%|█████▌ | 14/25 [00:38<00:30, 2.75s/it] 60%|██████ | 15/25 [00:41<00:27, 2.75s/it] 64%|██████▍ | 16/25 [00:44<00:24, 2.75s/it] 68%|██████▊ | 17/25 [00:46<00:22, 2.75s/it] 72%|███████▏ | 18/25 [00:49<00:19, 2.75s/it] 76%|███████▌ | 19/25 [00:52<00:16, 2.75s/it] 80%|████████ | 20/25 [00:55<00:13, 2.76s/it] 84%|████████▍ | 21/25 [00:57<00:11, 2.76s/it] 88%|████████▊ | 22/25 [01:00<00:08, 2.76s/it] 92%|█████████▏| 23/25 [01:03<00:05, 2.76s/it] 96%|█████████▌| 24/25 [01:06<00:02, 2.76s/it] 100%|██████████| 25/25 [01:08<00:00, 2.76s/it] 100%|██████████| 25/25 [01:08<00:00, 2.75s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 35.27it/s] 56%|█████▋ | 9/16 [00:00<00:00, 16.61it/s] 75%|███████▌ | 12/16 [00:00<00:00, 14.21it/s] 88%|████████▊ | 14/16 [00:00<00:00, 13.35it/s] 100%|██████████| 16/16 [00:01<00:00, 12.74it/s] 100%|██████████| 16/16 [00:01<00:00, 14.40it/s]
Want to make some of these yourself?
Run this model