Instructions to use iloncka/LGM-full-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iloncka/LGM-full-demo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iloncka/LGM-full-demo", torch_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
| wheel | |
| numpy | |
| tyro | |
| diffusers | |
| dearpygui | |
| einops | |
| accelerate | |
| gradio | |
| imageio | |
| imageio-ffmpeg | |
| lpips | |
| matplotlib | |
| packaging | |
| Pillow | |
| pygltflib | |
| rembg[gpu,cli] | |
| rich | |
| safetensors | |
| scikit-image | |
| scikit-learn | |
| scipy | |
| spaces | |
| tqdm | |
| transformers | |
| trimesh | |
| kiui >= 0.2.3 | |
| xatlas | |
| roma | |
| plyfile | |
| torch == 2.2.0 | |
| torchvision == 0.17.0 | |
| torchaudio == 2.2.0 | |
| xformers | |
| ushlex | |