Instructions to use danbrown/elldreth-lucid-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/elldreth-lucid-mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danbrown/elldreth-lucid-mix", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0265192f197b27c830ae1bd899795d6a6521472f4f36600538983e7a116e4c83
- Size of remote file:
- 492 MB
- SHA256:
- 7f90520f30d0c423830d08abe837f31ab041d437858033027736bc9c8ca7f036
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