camenduru / dynami-crafter-576x1024
Create a video from an image
Prediction
camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76IDkxz3kolb24pcdpqys23vxjmlamStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- i2v_eta
- 1
- i2v_seed
- 123
- i2v_steps
- 50
- i2v_motion
- 4
- i2v_cfg_scale
- 7.5
- i2v_input_text
- rocket launches
- i2v_input_image
{ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" }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 camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", { input: { i2v_eta: 1, i2v_seed: 123, i2v_steps: 50, i2v_motion: 4, i2v_cfg_scale: 7.5, i2v_input_text: "rocket launches", i2v_input_image: "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", input={ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run camenduru/dynami-crafter-576x1024 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/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-02-05T16:44:22.414863Z", "created_at": "2024-02-05T16:35:18.422799Z", "data_removed": false, "error": null, "id": "kxz3kolb24pcdpqys23vxjmlam", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" }, "logs": "Seed set to 123\nstart: rocket launches 2024-02-05 16:38:40\n/usr/local/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\nwarnings.warn(\n/usr/local/lib/python3.10/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,", "metrics": { "predict_time": 342.939456, "total_time": 543.992064 }, "output": "https://replicate.delivery/pbxt/uUb33f6N0kwWWS1elgE5XfYnQs2LOrVnFZWa34LaiCTLTYnkA/output.mp4", "started_at": "2024-02-05T16:38:39.475407Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/kxz3kolb24pcdpqys23vxjmlam", "cancel": "https://api.replicate.com/v1/predictions/kxz3kolb24pcdpqys23vxjmlam/cancel" }, "version": "f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76" }Generated inSeed set to 123 start: rocket launches 2024-02-05 16:38:40 /usr/local/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). warnings.warn( /usr/local/lib/python3.10/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.) return F.conv2d(input, weight, bias, self.stride,Prediction
camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76IDisg7dqdb4u3ftl2qnppwdhbhvaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- i2v_eta
- 1
- i2v_seed
- 123
- i2v_steps
- 50
- i2v_motion
- 4
- i2v_cfg_scale
- 7.5
- i2v_input_text
- a man in an astronaut suit playing a guitar
- i2v_input_image
{ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "a man in an astronaut suit playing a guitar", "i2v_input_image": "https://replicate.delivery/pbxt/KLrwnf6HhJfQ9qgLteJG0Lwq3o4iZFFqhrH5ne4io7SJwgDQ/astronaut04.png" }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 camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", { input: { i2v_eta: 1, i2v_seed: 123, i2v_steps: 50, i2v_motion: 4, i2v_cfg_scale: 7.5, i2v_input_text: "a man in an astronaut suit playing a guitar", i2v_input_image: "https://replicate.delivery/pbxt/KLrwnf6HhJfQ9qgLteJG0Lwq3o4iZFFqhrH5ne4io7SJwgDQ/astronaut04.png" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", input={ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "a man in an astronaut suit playing a guitar", "i2v_input_image": "https://replicate.delivery/pbxt/KLrwnf6HhJfQ9qgLteJG0Lwq3o4iZFFqhrH5ne4io7SJwgDQ/astronaut04.png" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run camenduru/dynami-crafter-576x1024 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/dynami-crafter-576x1024:f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "a man in an astronaut suit playing a guitar", "i2v_input_image": "https://replicate.delivery/pbxt/KLrwnf6HhJfQ9qgLteJG0Lwq3o4iZFFqhrH5ne4io7SJwgDQ/astronaut04.png" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-02-05T17:03:50.777794Z", "created_at": "2024-02-05T16:55:02.645060Z", "data_removed": false, "error": null, "id": "isg7dqdb4u3ftl2qnppwdhbhva", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "a man in an astronaut suit playing a guitar", "i2v_input_image": "https://replicate.delivery/pbxt/KLrwnf6HhJfQ9qgLteJG0Lwq3o4iZFFqhrH5ne4io7SJwgDQ/astronaut04.png" }, "logs": "Seed set to 123\nstart: a man in an astronaut suit playing a guitar 2024-02-05 16:58:09\n/usr/local/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\nwarnings.warn(\n/usr/local/lib/python3.10/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,", "metrics": { "predict_time": 341.626362, "total_time": 528.132734 }, "output": "https://replicate.delivery/pbxt/rRqs5x9tm6amNFw4M8fvjlKnRpfhrsklsmVKAeuOneyUvxOJB/output.mp4", "started_at": "2024-02-05T16:58:09.151432Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/isg7dqdb4u3ftl2qnppwdhbhva", "cancel": "https://api.replicate.com/v1/predictions/isg7dqdb4u3ftl2qnppwdhbhva/cancel" }, "version": "f65f25122f810b84db35ff99065dbde287142cf475a4f7e72de09cf7c0eaec76" }Generated inSeed set to 123 start: a man in an astronaut suit playing a guitar 2024-02-05 16:58:09 /usr/local/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). warnings.warn( /usr/local/lib/python3.10/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.) return F.conv2d(input, weight, bias, self.stride,Prediction
camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1IDrskji3zbcq7ndpep3zslvj6sqaStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- i2v_eta
- 1
- i2v_seed
- 123
- i2v_steps
- 50
- i2v_motion
- 4
- i2v_cfg_scale
- 7.5
- i2v_input_text
- rocket launches
- i2v_input_image
{ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" }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 camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", { input: { i2v_eta: 1, i2v_seed: 123, i2v_steps: 50, i2v_motion: 4, i2v_cfg_scale: 7.5, i2v_input_text: "rocket launches", i2v_input_image: "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", input={ "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run camenduru/dynami-crafter-576x1024 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/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-02-06T03:56:40.012383Z", "created_at": "2024-02-06T03:49:03.233811Z", "data_removed": false, "error": null, "id": "rskji3zbcq7ndpep3zslvj6sqa", "input": { "i2v_eta": 1, "i2v_seed": 123, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLre7ADFhbmP9FJh3soDttYBSeyNdE4dPmR8G2TL0YFRqk6L/girl07.png" }, "logs": "Seed set to 123\nstart: rocket launches 2024-02-06 03:52:52\n/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\nwarnings.warn(", "metrics": { "predict_time": 228.04025, "total_time": 456.778572 }, "output": "https://replicate.delivery/pbxt/fWnOmFsM4i1fPkEk4nKx0yx440nKqSnFleb7etsPE1f6ef6JJA/output.mp4", "started_at": "2024-02-06T03:52:51.972133Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rskji3zbcq7ndpep3zslvj6sqa", "cancel": "https://api.replicate.com/v1/predictions/rskji3zbcq7ndpep3zslvj6sqa/cancel" }, "version": "e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1" }Generated inSeed set to 123 start: rocket launches 2024-02-06 03:52:52 /root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). warnings.warn(Prediction
camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1IDdqwebflb45ym4r4oqztajiv6tmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- i2v_eta
- 1
- i2v_seed
- 1974
- i2v_steps
- 50
- i2v_motion
- 4
- i2v_cfg_scale
- 7.5
- i2v_input_text
- rocket launches
- i2v_input_image
{ "i2v_eta": 1, "i2v_seed": 1974, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLtjAaXmo5JR6f6XIWK6Tt8iI1HnBT55xzMpLYx4BDxf8AZI/a7d8f0b3-4bbf-4f80-abac-9baa5644b76a.webp" }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 camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", { input: { i2v_eta: 1, i2v_seed: 1974, i2v_steps: 50, i2v_motion: 4, i2v_cfg_scale: 7.5, i2v_input_text: "rocket launches", i2v_input_image: "https://replicate.delivery/pbxt/KLtjAaXmo5JR6f6XIWK6Tt8iI1HnBT55xzMpLYx4BDxf8AZI/a7d8f0b3-4bbf-4f80-abac-9baa5644b76a.webp" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun camenduru/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", input={ "i2v_eta": 1, "i2v_seed": 1974, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLtjAaXmo5JR6f6XIWK6Tt8iI1HnBT55xzMpLYx4BDxf8AZI/a7d8f0b3-4bbf-4f80-abac-9baa5644b76a.webp" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run camenduru/dynami-crafter-576x1024 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/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1", "input": { "i2v_eta": 1, "i2v_seed": 1974, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLtjAaXmo5JR6f6XIWK6Tt8iI1HnBT55xzMpLYx4BDxf8AZI/a7d8f0b3-4bbf-4f80-abac-9baa5644b76a.webp" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-02-05T18:57:26.150533Z", "created_at": "2024-02-05T18:51:30.802423Z", "data_removed": false, "error": null, "id": "dqwebflb45ym4r4oqztajiv6tm", "input": { "i2v_eta": 1, "i2v_seed": 1974, "i2v_steps": 50, "i2v_motion": 4, "i2v_cfg_scale": 7.5, "i2v_input_text": "rocket launches", "i2v_input_image": "https://replicate.delivery/pbxt/KLtjAaXmo5JR6f6XIWK6Tt8iI1HnBT55xzMpLYx4BDxf8AZI/a7d8f0b3-4bbf-4f80-abac-9baa5644b76a.webp" }, "logs": "Seed set to 1974\nstart: rocket launches 2024-02-05 18:51:54\n/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\nwarnings.warn(", "metrics": { "predict_time": 332.345533, "total_time": 355.34811 }, "output": "https://replicate.delivery/pbxt/4rjTEFftb823fUu7MRa29JoZy7BpRX31CtGwo83sOV2UGuTSA/output.mp4", "started_at": "2024-02-05T18:51:53.805000Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dqwebflb45ym4r4oqztajiv6tm", "cancel": "https://api.replicate.com/v1/predictions/dqwebflb45ym4r4oqztajiv6tm/cancel" }, "version": "e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1" }Generated inSeed set to 1974 start: rocket launches 2024-02-05 18:51:54 /root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). warnings.warn(
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