Instructions to use suvadityamuk/sam-3d-objects-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/sam-3d-objects-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/sam-3d-objects-diffusers-3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 316 Bytes
332cfec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "Sam3DConditionEmbedder",
"_diffusers_version": "0.41.0.dev0",
"image_embed_dim": 1024,
"pointmap_config": {
"embed_dim": 512,
"input_size": 256,
"mlp_ratio": 2.0,
"num_heads": 16,
"patch_size": 8
},
"prenorm_features": false,
"projection_hidden_multiplier": 4.0
}
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