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
Upload folder using huggingface_hub
Browse files
model/config.json
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{
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"_class_name": "TrajectoryDiffusionModel",
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"_diffusers_version": "0.36.0",
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"hidden_dim": 256,
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"num_steps": 32,
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"time_embed_dim": 64
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}
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model/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd0ca9f86f25602184a064b16cdd013f5cbab072feaf0a683f7f71f957f6ed4a
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size 465648
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