Instructions to use duongve/NetaYume-Lumina-Image-2.0-Diffusers-v40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duongve/NetaYume-Lumina-Image-2.0-Diffusers-v40 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duongve/NetaYume-Lumina-Image-2.0-Diffusers-v40", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Fix model tree
#2
by mingyi456 - opened
There should not be a need to list Alpha-VLLM/Lumina-Image-2.0 as the base model, listing neta-art/Neta-Lumina should be enough since it already lists the original model. Otherwise, only Lumina-Image-2.0 is listed in the model tree
duongve changed pull request status to merged