Instructions to use cuio/DreamLite-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuio/DreamLite-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuio/DreamLite-base", 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
- Xet hash:
- 7154279702371adf558f4a8a8ba94a4e2aff4028626fc24b4beaf3d5862bd2b2
- Size of remote file:
- 4.9 MB
- SHA256:
- e175c3284b8514a2ecb1a70f004b0b09320decd6842e77dfebbdb5dbbdf0312b
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