andreasjansson
/
flux-schnell-redux-layers
- Public
- 1.4K runs
-
H100
Prediction
andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65IDezd9x3psxsrmc0ckbp596aqrpmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- prompt
- A watercolor painting
- megapixels
- 1
- num_outputs
- 4
- redux_image
- aspect_ratio
- 1:1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 4
- redux_double_layers
- [ 18 ]
- redux_single_layers
- [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ]
{ "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 18 ], "redux_single_layers": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", { input: { prompt: "A watercolor painting", megapixels: "1", num_outputs: 4, redux_image: "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", aspect_ratio: "1:1", output_format: "webp", output_quality: 80, num_inference_steps: 4, redux_double_layers: [18], redux_single_layers: [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", input={ "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [18], "redux_single_layers": [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/flux-schnell-redux-layers 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": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", "input": { "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [18], "redux_single_layers": [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-24T09:40:06.088083Z", "created_at": "2024-11-24T09:40:01.134000Z", "data_removed": false, "error": null, "id": "ezd9x3psxsrmc0ckbp596aqrpm", "input": { "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 18 ], "redux_single_layers": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }, "logs": "running bf16 model, fp8 disabled\nUsing seed: 21492\n0it [00:00, ?it/s]\n1it [00:00, 6.57it/s]\n2it [00:00, 4.78it/s]\n3it [00:00, 4.40it/s]\n4it [00:00, 4.24it/s]\n4it [00:00, 4.45it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.98it/s]\n2it [00:00, 3.99it/s]\n3it [00:00, 4.00it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 4.00it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.99it/s]\n2it [00:00, 3.99it/s]\n3it [00:00, 3.99it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 3.99it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.99it/s]\n2it [00:00, 4.00it/s]\n3it [00:00, 3.99it/s]\n4it [00:01, 3.99it/s]\n4it [00:01, 3.99it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 4.946641349, "total_time": 4.954083 }, "output": [ "https://replicate.delivery/xezq/ShiMfqpnk3Wxe0NgDsErp8mft7cdGS0fbIsbwwZUKCeyOTheE/out-0.webp", "https://replicate.delivery/xezq/9JMZmtlXFfxPJqeihP6hQj8UccMjfJYJ7FPJo69wOwSszUonA/out-1.webp", "https://replicate.delivery/xezq/DEShubetRwUnHKzoiuxvjsIcMCseK4DOre7fJkviVH4ZnpQPB/out-2.webp", "https://replicate.delivery/xezq/lSrNGH5SZE4xJpY3i7WDwcwynzeGYzbFCMnUYCqpUKW7MF6JA/out-3.webp" ], "started_at": "2024-11-24T09:40:01.141441Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zr25doetrnzhvc7gef4s27qpf5yr73evqufepcfglaesgqjcd7hq", "get": "https://api.replicate.com/v1/predictions/ezd9x3psxsrmc0ckbp596aqrpm", "cancel": "https://api.replicate.com/v1/predictions/ezd9x3psxsrmc0ckbp596aqrpm/cancel" }, "version": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65" }Generated inrunning bf16 model, fp8 disabled Using seed: 21492 0it [00:00, ?it/s] 1it [00:00, 6.57it/s] 2it [00:00, 4.78it/s] 3it [00:00, 4.40it/s] 4it [00:00, 4.24it/s] 4it [00:00, 4.45it/s] 0it [00:00, ?it/s] 1it [00:00, 3.98it/s] 2it [00:00, 3.99it/s] 3it [00:00, 4.00it/s] 4it [00:01, 4.00it/s] 4it [00:01, 4.00it/s] 0it [00:00, ?it/s] 1it [00:00, 3.99it/s] 2it [00:00, 3.99it/s] 3it [00:00, 3.99it/s] 4it [00:01, 4.00it/s] 4it [00:01, 3.99it/s] 0it [00:00, ?it/s] 1it [00:00, 3.99it/s] 2it [00:00, 4.00it/s] 3it [00:00, 3.99it/s] 4it [00:01, 3.99it/s] 4it [00:01, 3.99it/s] Total safe images: 4 out of 4Prediction
andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65IDzjmacb1mq9rme0ckbp89zehanwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- 1
- prompt
- A watercolor painting
- megapixels
- 1
- num_outputs
- 4
- redux_image
- aspect_ratio
- 1:1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 4
- redux_double_layers
- [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 18 ]
- redux_single_layers
- [ 1, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ]
{ "seed": 1, "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 18 ], "redux_single_layers": [ 1, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", { input: { seed: 1, prompt: "A watercolor painting", megapixels: "1", num_outputs: 4, redux_image: "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", aspect_ratio: "1:1", output_format: "webp", output_quality: 80, num_inference_steps: 4, redux_double_layers: [0,1,2,3,4,5,6,7,8,9,18], redux_single_layers: [1,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", input={ "seed": 1, "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [0,1,2,3,4,5,6,7,8,9,18], "redux_single_layers": [1,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/flux-schnell-redux-layers 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": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", "input": { "seed": 1, "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [0,1,2,3,4,5,6,7,8,9,18], "redux_single_layers": [1,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-24T09:45:56.871246Z", "created_at": "2024-11-24T09:45:52.058000Z", "data_removed": false, "error": null, "id": "zjmacb1mq9rme0ckbp89zehanw", "input": { "seed": 1, "prompt": "A watercolor painting", "megapixels": "1", "num_outputs": 4, "redux_image": "https://replicate.delivery/pbxt/M1lKeCcsHPvzb5wNNsajPvKD4l87ESgJv0a6EmEWzHl9QUdk/0_1.webp", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 18 ], "redux_single_layers": [ 1, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }, "logs": "running bf16 model, fp8 disabled\nUsing seed: 1\n0it [00:00, ?it/s]\n1it [00:00, 6.58it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.40it/s]\n4it [00:00, 4.23it/s]\n4it [00:00, 4.45it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.95it/s]\n2it [00:00, 3.97it/s]\n3it [00:00, 3.99it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 3.99it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.99it/s]\n2it [00:00, 4.00it/s]\n3it [00:00, 4.00it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 4.00it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.99it/s]\n2it [00:00, 3.99it/s]\n3it [00:00, 3.98it/s]\n4it [00:01, 3.98it/s]\n4it [00:01, 3.98it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 4.80604567, "total_time": 4.813246 }, "output": [ "https://replicate.delivery/xezq/2LdyoAy79NbEJxzmuzbHmUaPap76M3meXrfvBnBPrChUfUonA/out-0.webp", "https://replicate.delivery/xezq/eKfySrEyjtsyiUKwgg1Xeejyl0PlDOb73FBsbxYk2j5Q9pQPB/out-1.webp", "https://replicate.delivery/xezq/jC2gnPavrAJoK1sRUl6vKt2MkDzNGOsXzAfgBlYaAeVUfUonA/out-2.webp", "https://replicate.delivery/xezq/Xj6y6qiwXaajIVcyjXrknAXea9joz6g7JoMfAwBOox3UfUonA/out-3.webp" ], "started_at": "2024-11-24T09:45:52.065200Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-rfzwpvwoiyh3he2ovtpdw6askhbczx6c4wdwothi4f2kapmf47tq", "get": "https://api.replicate.com/v1/predictions/zjmacb1mq9rme0ckbp89zehanw", "cancel": "https://api.replicate.com/v1/predictions/zjmacb1mq9rme0ckbp89zehanw/cancel" }, "version": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65" }Generated inrunning bf16 model, fp8 disabled Using seed: 1 0it [00:00, ?it/s] 1it [00:00, 6.58it/s] 2it [00:00, 4.79it/s] 3it [00:00, 4.40it/s] 4it [00:00, 4.23it/s] 4it [00:00, 4.45it/s] 0it [00:00, ?it/s] 1it [00:00, 3.95it/s] 2it [00:00, 3.97it/s] 3it [00:00, 3.99it/s] 4it [00:01, 4.00it/s] 4it [00:01, 3.99it/s] 0it [00:00, ?it/s] 1it [00:00, 3.99it/s] 2it [00:00, 4.00it/s] 3it [00:00, 4.00it/s] 4it [00:01, 4.00it/s] 4it [00:01, 4.00it/s] 0it [00:00, ?it/s] 1it [00:00, 3.99it/s] 2it [00:00, 3.99it/s] 3it [00:00, 3.98it/s] 4it [00:01, 3.98it/s] 4it [00:01, 3.98it/s] Total safe images: 4 out of 4Prediction
andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65ID2h8cb7qm5srme0ckcaeshvf89wStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- seed
- 1
- prompt
- A cat
- megapixels
- 1
- num_outputs
- 4
- redux_image
- aspect_ratio
- 1:1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 4
- redux_double_layers
- [ 1, 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14 ]
- redux_single_layers
- [ 1, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ]
{ "seed": 1, "prompt": "A cat", "megapixels": "1", "num_outputs": 4, "redux_image": "https://m.media-amazon.com/images/I/81xsntj7fuL._AC_SX679_.jpg", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 1, 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14 ], "redux_single_layers": [ 1, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", { input: { seed: 1, prompt: "A cat", megapixels: "1", num_outputs: 4, redux_image: "https://m.media-amazon.com/images/I/81xsntj7fuL._AC_SX679_.jpg", aspect_ratio: "1:1", output_format: "webp", output_quality: 80, num_inference_steps: 4, redux_double_layers: [1,2,3,5,6,7,8,10,11,12,13,14], redux_single_layers: [1,2,3,4,5,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun andreasjansson/flux-schnell-redux-layers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/flux-schnell-redux-layers:f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", input={ "seed": 1, "prompt": "A cat", "megapixels": "1", "num_outputs": 4, "redux_image": "https://m.media-amazon.com/images/I/81xsntj7fuL._AC_SX679_.jpg", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [1,2,3,5,6,7,8,10,11,12,13,14], "redux_single_layers": [1,2,3,4,5,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/flux-schnell-redux-layers 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": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65", "input": { "seed": 1, "prompt": "A cat", "megapixels": "1", "num_outputs": 4, "redux_image": "https://m.media-amazon.com/images/I/81xsntj7fuL._AC_SX679_.jpg", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [1,2,3,5,6,7,8,10,11,12,13,14], "redux_single_layers": [1,2,3,4,5,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37] } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-25T09:19:03.896606Z", "created_at": "2024-11-25T09:18:59.118000Z", "data_removed": false, "error": null, "id": "2h8cb7qm5srme0ckcaeshvf89w", "input": { "seed": 1, "prompt": "A cat", "megapixels": "1", "num_outputs": 4, "redux_image": "https://m.media-amazon.com/images/I/81xsntj7fuL._AC_SX679_.jpg", "aspect_ratio": "1:1", "output_format": "webp", "output_quality": 80, "num_inference_steps": 4, "redux_double_layers": [ 1, 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14 ], "redux_single_layers": [ 1, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ] }, "logs": "running bf16 model, fp8 disabled\nUsing seed: 1\n0it [00:00, ?it/s]\n1it [00:00, 6.62it/s]\n2it [00:00, 4.81it/s]\n3it [00:00, 4.43it/s]\n4it [00:00, 4.24it/s]\n4it [00:00, 4.46it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.94it/s]\n2it [00:00, 3.97it/s]\n3it [00:00, 4.00it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 3.99it/s]\n0it [00:00, ?it/s]\n1it [00:00, 3.96it/s]\n2it [00:00, 3.98it/s]\n3it [00:00, 4.00it/s]\n4it [00:01, 4.00it/s]\n4it [00:01, 3.99it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.00it/s]\n2it [00:00, 3.99it/s]\n3it [00:00, 4.00it/s]\n4it [00:01, 3.99it/s]\n4it [00:01, 3.99it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 4.771522435, "total_time": 4.778606 }, "output": [ "https://replicate.delivery/xezq/o6zlAsD3Axo1LFAVL2F2uPWvZ9uNkien6ModySy6ht6DmP6JA/out-0.webp", "https://replicate.delivery/xezq/5ymydRR5H2owFBc3eeu5m0eAxQq4fAC4H1MdVc1ozwCdw8RPB/out-1.webp", "https://replicate.delivery/xezq/deFGfBBdc1lHt0hfjwd18iaoqmsKCI4C3Y69p2dsFl0OYeRPB/out-2.webp", "https://replicate.delivery/xezq/Le6e7JawCwkHu03bJ17JeSfTGMf6pJ3TOx1oBkC890k4g5jeE/out-3.webp" ], "started_at": "2024-11-25T09:18:59.125084Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-63qanw37e527r4d4hvwn2rfkadbdhlha6dqdqs24ywzzxed55fsa", "get": "https://api.replicate.com/v1/predictions/2h8cb7qm5srme0ckcaeshvf89w", "cancel": "https://api.replicate.com/v1/predictions/2h8cb7qm5srme0ckcaeshvf89w/cancel" }, "version": "f6f727a0b9b86a45eed5497a8a8877858dc9bc8710ea7e044b0c277b4e875e65" }Generated inrunning bf16 model, fp8 disabled Using seed: 1 0it [00:00, ?it/s] 1it [00:00, 6.62it/s] 2it [00:00, 4.81it/s] 3it [00:00, 4.43it/s] 4it [00:00, 4.24it/s] 4it [00:00, 4.46it/s] 0it [00:00, ?it/s] 1it [00:00, 3.94it/s] 2it [00:00, 3.97it/s] 3it [00:00, 4.00it/s] 4it [00:01, 4.00it/s] 4it [00:01, 3.99it/s] 0it [00:00, ?it/s] 1it [00:00, 3.96it/s] 2it [00:00, 3.98it/s] 3it [00:00, 4.00it/s] 4it [00:01, 4.00it/s] 4it [00:01, 3.99it/s] 0it [00:00, ?it/s] 1it [00:00, 4.00it/s] 2it [00:00, 3.99it/s] 3it [00:00, 4.00it/s] 4it [00:01, 3.99it/s] 4it [00:01, 3.99it/s] Total safe images: 4 out of 4
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