Instructions to use shahabctg/AutoCADShip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahabctg/AutoCADShip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shahabctg/AutoCADShip", 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
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Download README.md from shahabctg/AutoCADShip: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
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https://huggingface.co/shahabctg/AutoCADShip/resolve/4dc279a16768083d6286a904cfb3dd5a8ec6a1db/README.md
- Command line
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hf download hf://shahabctg/AutoCADShip@4dc279a16768083d6286a904cfb3dd5a8ec6a1db/README.md
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curl -L -o README.md https://huggingface.co/shahabctg/AutoCADShip/resolve/4dc279a16768083d6286a904cfb3dd5a8ec6a1db/README.md
82 Bytes
metadata
license: apache-2.0
Model is trained with AutoCAD dataset of ship layouts