Instructions to use VirtualAddressExtension/Neta-Lumina-v1.0-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VirtualAddressExtension/Neta-Lumina-v1.0-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VirtualAddressExtension/Neta-Lumina-v1.0-diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from VirtualAddressExtension/Neta-Lumina-v1.0-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/VirtualAddressExtension/Neta-Lumina-v1.0-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://VirtualAddressExtension/Neta-Lumina-v1.0-diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/VirtualAddressExtension/Neta-Lumina-v1.0-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- a73a2c5c5dd12d0d1134decadb6020e2110fe5f4ad32b6fa8eda5d17e1910ce9
- Size of remote file:
- 335 MB
- SHA256:
- 8c717328c8ad41faab2ccfd52ae17332505c6833cf176aad56e7b58f2c4d4c94
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