cjwbw / point-e

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Cold

Public
8.7K runs
T4
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

cjwbw/point-e:1a4da7ad

Model

cjwbw/point-e:717f3425

74w4cz6r3vfudjp2cjewxvxday

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 14s

Created

about 2 years ago

Input

image
output_format: animation

{
  "image": "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
  "output_format": "animation"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
      output_format: "animation"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    input={
        "image": "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
        "output_format": "animation"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run cjwbw/point-e 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": "1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    "input": {
      "image": "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
      "output_format": "animation"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run cjwbw/point-e using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b \
  -i 'image="https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg"' \
  -i 'output_format="animation"'

To learn more, take a look at the Cog documentation.

Pull and run cjwbw/point-e using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
      "output_format": "animation"
    }
  }' \
  http://localhost:5000/predictions

Output

{
  "completed_at": "2023-01-11T15:24:19.544772Z",
  "created_at": "2023-01-11T15:22:05.069665Z",
  "data_removed": false,
  "error": null,
  "id": "74w4cz6r3vfudjp2cjewxvxday",
  "input": {
    "image": "https://replicate.delivery/pbxt/I7PgPuu14HOTKqTiFDjZPIvZn2JAYl92VGyKZi1aBLxviicI/corgi.jpeg",
    "output_format": "animation"
  },
  "logs": "0it [00:00, ?it/s]\n1it [00:03,  3.86s/it]\n2it [00:04,  1.72s/it]\n3it [00:04,  1.03s/it]\n4it [00:04,  1.41it/s]\n5it [00:04,  1.87it/s]\n6it [00:04,  2.30it/s]\n7it [00:05,  2.75it/s]\n8it [00:05,  3.15it/s]\n9it [00:05,  3.49it/s]\n10it [00:05,  3.67it/s]\n11it [00:06,  3.87it/s]\n12it [00:06,  4.05it/s]\n13it [00:06,  4.19it/s]\n14it [00:06,  4.23it/s]\n15it [00:07,  4.23it/s]\n16it [00:07,  4.31it/s]\n17it [00:07,  4.38it/s]\n18it [00:07,  4.37it/s]\n19it [00:07,  4.31it/s]\n20it [00:08,  4.34it/s]\n21it [00:08,  4.38it/s]\n22it [00:08,  4.41it/s]\n23it [00:08,  4.35it/s]\n24it [00:09,  4.37it/s]\n25it [00:09,  4.38it/s]\n26it [00:09,  4.41it/s]\n27it [00:09,  4.37it/s]\n28it [00:09,  4.37it/s]\n29it [00:10,  4.34it/s]\n30it [00:10,  4.37it/s]\n31it [00:10,  4.37it/s]\n32it [00:10,  4.34it/s]\n33it [00:11,  4.35it/s]\n34it [00:11,  4.33it/s]\n35it [00:11,  4.36it/s]\n36it [00:11,  4.36it/s]\n37it [00:12,  4.36it/s]\n38it [00:12,  4.37it/s]\n39it [00:12,  4.39it/s]\n40it [00:12,  4.41it/s]\n41it [00:12,  4.38it/s]\n42it [00:13,  4.37it/s]\n43it [00:13,  4.38it/s]\n44it [00:13,  4.40it/s]\n45it [00:13,  4.40it/s]\n46it [00:14,  4.37it/s]\n47it [00:14,  4.39it/s]\n48it [00:14,  4.33it/s]\n49it [00:14,  4.36it/s]\n50it [00:15,  4.37it/s]\n51it [00:15,  4.35it/s]\n52it [00:15,  4.35it/s]\n53it [00:15,  4.33it/s]\n54it [00:15,  4.34it/s]\n55it [00:16,  4.32it/s]\n56it [00:16,  4.33it/s]\n57it [00:16,  4.31it/s]\n58it [00:16,  4.31it/s]\n59it [00:17,  4.27it/s]\n60it [00:17,  4.28it/s]\n61it [00:17,  4.28it/s]\n62it [00:17,  4.28it/s]\n63it [00:18,  4.27it/s]\n64it [00:18,  4.29it/s]\n66it [00:18,  4.62it/s]\n67it [00:19,  2.85it/s]\n68it [00:20,  2.19it/s]\n69it [00:20,  1.87it/s]\n70it [00:21,  1.68it/s]\n71it [00:22,  1.55it/s]\n72it [00:23,  1.47it/s]\n73it [00:23,  1.43it/s]\n74it [00:24,  1.39it/s]\n75it [00:25,  1.36it/s]\n76it [00:26,  1.34it/s]\n77it [00:27,  1.33it/s]\n78it [00:27,  1.32it/s]\n79it [00:28,  1.31it/s]\n80it [00:29,  1.31it/s]\n81it [00:30,  1.30it/s]\n82it [00:30,  1.30it/s]\n83it [00:31,  1.30it/s]\n84it [00:32,  1.30it/s]\n85it [00:33,  1.29it/s]\n86it [00:34,  1.29it/s]\n87it [00:34,  1.29it/s]\n88it [00:35,  1.28it/s]\n89it [00:36,  1.28it/s]\n90it [00:37,  1.28it/s]\n91it [00:37,  1.28it/s]\n92it [00:38,  1.27it/s]\n93it [00:39,  1.27it/s]\n94it [00:40,  1.27it/s]\n95it [00:41,  1.26it/s]\n96it [00:41,  1.26it/s]\n97it [00:42,  1.26it/s]\n98it [00:43,  1.25it/s]\n99it [00:44,  1.25it/s]\n100it [00:45,  1.25it/s]\n101it [00:45,  1.24it/s]\n102it [00:46,  1.24it/s]\n103it [00:47,  1.24it/s]\n104it [00:48,  1.24it/s]\n105it [00:49,  1.23it/s]\n106it [00:49,  1.23it/s]\n107it [00:50,  1.22it/s]\n108it [00:51,  1.22it/s]\n109it [00:52,  1.22it/s]\n110it [00:53,  1.21it/s]\n111it [00:54,  1.21it/s]\n112it [00:54,  1.20it/s]\n113it [00:55,  1.20it/s]\n114it [00:56,  1.19it/s]\n115it [00:57,  1.18it/s]\n116it [00:58,  1.18it/s]\n117it [00:59,  1.17it/s]\n118it [01:00,  1.17it/s]\n119it [01:00,  1.17it/s]\n120it [01:01,  1.16it/s]\n121it [01:02,  1.16it/s]\n122it [01:03,  1.16it/s]\n123it [01:04,  1.16it/s]\n124it [01:05,  1.17it/s]\n125it [01:06,  1.17it/s]\n126it [01:06,  1.17it/s]\n127it [01:07,  1.17it/s]\n128it [01:08,  1.17it/s]\n129it [01:09,  1.18it/s]\n130it [01:09,  1.87it/s]\nGenerating animation of the pointcloud, this may take a few minutes...\n/src/predict.py:144: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmax' will be ignored\nax.scatter(\nSaving the animation...",
  "metrics": {
    "predict_time": 134.425194,
    "total_time": 134.475107
  },
  "output": {
    "animation": "https://replicate.delivery/pbxt/jnK2whdbnn4uFRgNXseGBUX91ooFjiiB09WHxBE7WPFRNkJIA/out.gif"
  },
  "started_at": "2023-01-11T15:22:05.119578Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/74w4cz6r3vfudjp2cjewxvxday",
    "cancel": "https://api.replicate.com/v1/predictions/74w4cz6r3vfudjp2cjewxvxday/cancel"
  },
  "version": "717f34250d7ebdde6f42b51c4f80431945562f532a84c914f19f5645c872d48e"
}

Generated in

2 minutes 14 seconds

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Generating animation of the pointcloud, this may take a few minutes...
/src/predict.py:144: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmax' will be ignored
ax.scatter(
Saving the animation...

Prediction

cjwbw/point-e:1a4da7ad

Model

cjwbw/point-e:717f3425

q5jv5e4jf5fohgyy7zchs6kuma

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 47s

Created

about 2 years ago

Input

prompt: a red motorcycle
output_format: json_file

{
  "prompt": "a red motorcycle",
  "output_format": "json_file"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
  {
    input: {
      prompt: "a red motorcycle",
      output_format: "json_file"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    input={
        "prompt": "a red motorcycle",
        "output_format": "json_file"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run cjwbw/point-e 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": "1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    "input": {
      "prompt": "a red motorcycle",
      "output_format": "json_file"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run cjwbw/point-e using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b \
  -i 'prompt="a red motorcycle"' \
  -i 'output_format="json_file"'

To learn more, take a look at the Cog documentation.

Pull and run cjwbw/point-e using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "a red motorcycle",
      "output_format": "json_file"
    }
  }' \
  http://localhost:5000/predictions

Output

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  },
  "started_at": "2023-01-11T15:15:30.087051Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/q5jv5e4jf5fohgyy7zchs6kuma",
    "cancel": "https://api.replicate.com/v1/predictions/q5jv5e4jf5fohgyy7zchs6kuma/cancel"
  },
  "version": "717f34250d7ebdde6f42b51c4f80431945562f532a84c914f19f5645c872d48e"
}

Generated in

56.8 seconds

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Prediction

cjwbw/point-e:1a4da7ad

Model

cjwbw/point-e:717f3425

bsujg3i4gnbvpnvm5j6kmoxazu

Status

Succeeded

Source

Web

Hardware

–

Total duration

67.0s

Created

about 2 years ago

Input

image
output_format: json_file

{
  "image": "https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg",
  "output_format": "json_file"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg",
      output_format: "json_file"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    input={
        "image": "https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg",
        "output_format": "json_file"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run cjwbw/point-e 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": "1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    "input": {
      "image": "https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg",
      "output_format": "json_file"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run cjwbw/point-e using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b \
  -i 'image="https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg"' \
  -i 'output_format="json_file"'

To learn more, take a look at the Cog documentation.

Pull and run cjwbw/point-e using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/I7PiiKzaLYd8o9wrtnw8Uzln3X24BOjkhid88ngsXR4RBunN/corgi.jpeg",
      "output_format": "json_file"
    }
  }' \
  http://localhost:5000/predictions

Output

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    }
  },
  "started_at": "2023-01-11T15:24:30.371953Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bsujg3i4gnbvpnvm5j6kmoxazu",
    "cancel": "https://api.replicate.com/v1/predictions/bsujg3i4gnbvpnvm5j6kmoxazu/cancel"
  },
  "version": "717f34250d7ebdde6f42b51c4f80431945562f532a84c914f19f5645c872d48e"
}

Generated in

66.9 seconds

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Prediction

cjwbw/point-e:1a4da7ad

Model

cjwbw/point-e:717f3425

rkphy727kff7zmrw63eoi663ye

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 7s

Created

about 2 years ago by @chenxwh

Input

prompt: a red motorcycle
output_format: animation

{
  "prompt": "a red motorcycle",
  "output_format": "animation"
}

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
  {
    input: {
      prompt: "a red motorcycle",
      output_format: "animation"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run cjwbw/point-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/point-e:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    input={
        "prompt": "a red motorcycle",
        "output_format": "animation"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run cjwbw/point-e 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": "1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b",
    "input": {
      "prompt": "a red motorcycle",
      "output_format": "animation"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run cjwbw/point-e using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b \
  -i 'prompt="a red motorcycle"' \
  -i 'output_format="animation"'

To learn more, take a look at the Cog documentation.

Pull and run cjwbw/point-e using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/point-e@sha256:1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "a red motorcycle",
      "output_format": "animation"
    }
  }' \
  http://localhost:5000/predictions

Output

{
  "completed_at": "2023-01-11T15:20:50.924884Z",
  "created_at": "2023-01-11T15:18:43.439780Z",
  "data_removed": false,
  "error": null,
  "id": "rkphy727kff7zmrw63eoi663ye",
  "input": {
    "prompt": "a red motorcycle",
    "output_format": "animation"
  },
  "logs": "0it [00:00, ?it/s]\n1it [00:00,  8.23it/s]\n2it [00:00,  5.96it/s]\n3it [00:00,  6.11it/s]\n4it [00:00,  6.20it/s]\n5it [00:00,  6.22it/s]\n6it [00:00,  6.26it/s]\n7it [00:01,  6.22it/s]\n8it [00:01,  6.00it/s]\n9it [00:01,  6.07it/s]\n10it [00:01,  6.14it/s]\n11it [00:01,  6.18it/s]\n12it [00:01,  6.18it/s]\n13it [00:02,  6.10it/s]\n14it [00:02,  5.97it/s]\n15it [00:02,  5.97it/s]\n16it [00:02,  6.05it/s]\n17it [00:02,  6.12it/s]\n18it [00:02,  6.14it/s]\n19it [00:03,  6.08it/s]\n20it [00:03,  6.04it/s]\n21it [00:03,  5.97it/s]\n22it [00:03,  6.02it/s]\n23it [00:03,  6.08it/s]\n24it [00:03,  6.12it/s]\n25it [00:04,  6.10it/s]\n26it [00:04,  6.05it/s]\n27it [00:04,  5.97it/s]\n28it [00:04,  6.01it/s]\n29it [00:04,  6.06it/s]\n30it [00:04,  6.11it/s]\n31it [00:05,  6.10it/s]\n32it [00:05,  6.06it/s]\n33it [00:05,  5.97it/s]\n34it [00:05,  6.00it/s]\n35it [00:05,  6.04it/s]\n36it [00:05,  6.08it/s]\n37it [00:06,  6.06it/s]\n38it [00:06,  6.03it/s]\n39it [00:06,  5.98it/s]\n40it [00:06,  5.98it/s]\n41it [00:06,  6.04it/s]\n42it [00:06,  6.01it/s]\n43it [00:07,  5.97it/s]\n44it [00:07,  5.99it/s]\n45it [00:07,  5.94it/s]\n46it [00:07,  5.93it/s]\n47it [00:07,  5.97it/s]\n48it [00:07,  5.99it/s]\n49it [00:08,  5.95it/s]\n50it [00:08,  5.95it/s]\n51it [00:08,  5.96it/s]\n52it [00:08,  5.88it/s]\n53it [00:08,  5.91it/s]\n54it [00:08,  5.89it/s]\n55it [00:09,  5.93it/s]\n56it [00:09,  5.93it/s]\n57it [00:09,  5.86it/s]\n58it [00:09,  5.89it/s]\n59it [00:09,  5.88it/s]\n60it [00:09,  5.88it/s]\n61it [00:10,  5.87it/s]\n62it [00:10,  5.83it/s]\n63it [00:10,  5.80it/s]\n64it [00:10,  5.83it/s]\n66it [00:11,  5.59it/s]\n67it [00:11,  3.09it/s]\n68it [00:12,  2.27it/s]\n69it [00:13,  1.89it/s]\n70it [00:14,  1.68it/s]\n71it [00:14,  1.55it/s]\n72it [00:15,  1.47it/s]\n73it [00:16,  1.42it/s]\n74it [00:17,  1.38it/s]\n75it [00:17,  1.35it/s]\n76it [00:18,  1.33it/s]\n77it [00:19,  1.32it/s]\n78it [00:20,  1.32it/s]\n79it [00:21,  1.31it/s]\n80it [00:21,  1.30it/s]\n81it [00:22,  1.29it/s]\n82it [00:23,  1.29it/s]\n83it [00:24,  1.28it/s]\n84it [00:24,  1.28it/s]\n85it [00:25,  1.28it/s]\n86it [00:26,  1.27it/s]\n87it [00:27,  1.27it/s]\n88it [00:28,  1.27it/s]\n89it [00:28,  1.26it/s]\n90it [00:29,  1.26it/s]\n91it [00:30,  1.26it/s]\n92it [00:31,  1.25it/s]\n93it [00:32,  1.25it/s]\n94it [00:32,  1.25it/s]\n95it [00:33,  1.25it/s]\n96it [00:34,  1.24it/s]\n97it [00:35,  1.24it/s]\n98it [00:36,  1.24it/s]\n99it [00:36,  1.24it/s]\n100it [00:37,  1.23it/s]\n101it [00:38,  1.23it/s]\n102it [00:39,  1.23it/s]\n103it [00:40,  1.22it/s]\n104it [00:41,  1.22it/s]\n105it [00:41,  1.21it/s]\n106it [00:42,  1.21it/s]\n107it [00:43,  1.20it/s]\n108it [00:44,  1.20it/s]\n109it [00:45,  1.20it/s]\n110it [00:46,  1.19it/s]\n111it [00:46,  1.19it/s]\n112it [00:47,  1.18it/s]\n113it [00:48,  1.18it/s]\n114it [00:49,  1.18it/s]\n115it [00:50,  1.18it/s]\n116it [00:51,  1.18it/s]\n117it [00:52,  1.18it/s]\n118it [00:52,  1.18it/s]\n119it [00:53,  1.18it/s]\n120it [00:54,  1.18it/s]\n121it [00:55,  1.18it/s]\n122it [00:56,  1.19it/s]\n123it [00:57,  1.19it/s]\n124it [00:57,  1.19it/s]\n125it [00:58,  1.20it/s]\n126it [00:59,  1.20it/s]\n127it [01:00,  1.21it/s]\n128it [01:01,  1.22it/s]\n129it [01:02,  1.22it/s]\n130it [01:02,  2.10it/s]\nGenerating animation of the pointcloud, this may take a few minutes...\n/src/predict.py:144: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmax' will be ignored\nax.scatter(\nSaving the animation...",
  "metrics": {
    "predict_time": 127.446281,
    "total_time": 127.485104
  },
  "output": {
    "animation": "https://replicate.delivery/pbxt/wvwb7KwCRtYJCtkMqinlgRKgfhJxLuHnBNzBlTXvezYSXITQA/out.gif"
  },
  "started_at": "2023-01-11T15:18:43.478603Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rkphy727kff7zmrw63eoi663ye",
    "cancel": "https://api.replicate.com/v1/predictions/rkphy727kff7zmrw63eoi663ye/cancel"
  },
  "version": "717f34250d7ebdde6f42b51c4f80431945562f532a84c914f19f5645c872d48e"
}

Generated in

2 minutes 7 seconds

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Generating animation of the pointcloud, this may take a few minutes...
/src/predict.py:144: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmax' will be ignored
ax.scatter(
Saving the animation...

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cjwbw / point-e

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Prediction

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Prediction

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Prediction

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Logs (74w4cz6r3vfudjp2cjewxvxday)

Logs (q5jv5e4jf5fohgyy7zchs6kuma)

Logs (bsujg3i4gnbvpnvm5j6kmoxazu)

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