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: 535 Bytes
332cfec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_class_name": "TrellisSLatFlowModel",
"_diffusers_version": "0.41.0.dev0",
"cond_channels": 1024,
"in_channels": 8,
"io_block_channels": [
128
],
"mlp_ratio": 4,
"model_channels": 1024,
"num_blocks": 24,
"num_head_channels": 64,
"num_heads": 16,
"num_io_res_blocks": 2,
"out_channels": 8,
"patch_size": 2,
"pe_mode": "ape",
"qk_rms_norm": true,
"qk_rms_norm_cross": false,
"resolution": 64,
"share_mod": false,
"use_checkpoint": false,
"use_fp16": true,
"use_skip_connection": true
}
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