Instructions to use hvent90/point_navigation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hvent90/point_navigation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hvent90/point_navigation", 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: 146 Bytes
faf8b3c | 1 2 3 4 5 6 7 8 | {
"_class_name": "TrajectoryDiffusionModel",
"_diffusers_version": "0.36.0",
"hidden_dim": 256,
"num_steps": 32,
"time_embed_dim": 64
}
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