Instructions to use neta-art/Neta-Lumina-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neta-art/Neta-Lumina-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("neta-art/Neta-Lumina-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 test from neta-art/Neta-Lumina-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/neta-art/Neta-Lumina-diffusers/resolve/main/test
- Command line
-
hf download hf://neta-art/Neta-Lumina-diffusers/test
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curl -L -o test https://huggingface.co/neta-art/Neta-Lumina-diffusers/resolve/main/test
0 Bytes