cjwbw/point-e 🖼️📝❓ → ❓

▶️ 8.8K runs 📅 Dec 2022 ⚙️ Cog 0.6.1 🔗 GitHub 📄 Paper ⚖️ License
image-to-3d point-cloud text-to-3d

About

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

Example Output

Prompt:

"a red motorcycle"

Output

{"animation":"https://replicate.delivery/pbxt/wvwb7KwCRtYJCtkMqinlgRKgfhJxLuHnBNzBlTXvezYSXITQA/out.gif"}

Performance Metrics

127.45s Prediction Time
127.49s Total Time
All Input Parameters
{
  "prompt": "a red motorcycle",
  "output_format": "animation"
}
Input Parameters
image Type: string
Input image. When prompt is set, the model will disregard the image and generate point cloud based on the prompt
prompt Type: string
Input prompt.
output_format Default: animation
Choose the format of the output, either an animation or a json file of the point cloud. The json format is: { "coords": [...], "colors": [...] }, where "coords" is an [N x 3] array of (X,Y,Z) point coordinates, and "colors" is an [N x 3] array of (R,G,B) color values.
Output Schema

Output

Example Execution Logs
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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...
Version Details
Version ID
1a4da7adf0bc84cd786c1df41c02db3097d899f5c159f5fd5814a11117bdf02b
Version Created
January 16, 2023
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