yosun/a100-shap-e 🖼️📝✓🔢❓ → 🖼️
About
shap-e running on replicate a100
Example Output
Prompt:
"superhuman"
Output

Performance Metrics
14.72s
Prediction Time
231.93s
Total Time
All Input Parameters
{
"prompt": "superhuman",
"save_mesh": true,
"batch_size": 1,
"render_mode": "nerf",
"render_size": 128,
"guidance_scale": 15
}
Input Parameters
- image
- A synthetic view image for generating the 3D modeld. To get the best result, remove background from the input image
- prompt
- Text prompt for generating the 3D model, ignored if an image is provide below
- save_mesh
- Save the latents as meshes.
- batch_size
- Number of output
- render_mode
- Choose a render mode
- render_size
- Set the size of the a renderer, higher values take longer to render
- guidance_scale
- Set the scale for guidanece
Output Schema
Output
Example Execution Logs
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/src/shap_e/models/stf/renderer.py:286: UserWarning: exception rendering with PyTorch3D: No module named 'pytorch3d'
warnings.warn(f"exception rendering with PyTorch3D: {exc}")
/src/shap_e/models/stf/renderer.py:287: UserWarning: falling back on native PyTorch renderer, which does not support full gradients
warnings.warn(
Version Details
- Version ID
713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a- Version Created
- June 21, 2023