Instructions to use Muapi/luminous-shadowscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/luminous-shadowscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/luminous-shadowscape") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e8dc435d798927649d67f3fd9e8fe73b98b9522d6b8b01ba1b6583922bcfd81e
- Size of remote file:
- 76.7 MB
- SHA256:
- 7636ed9dcbaec664864ecd25957ef39b63e29acf741e5c6297cb7f1e2b645b90
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