Instructions to use smoothieAI/smoothieLDC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smoothieAI/smoothieLDC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smoothieAI/smoothieLDC", 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
- Xet hash:
- 138160cd330ff7e8d470be3e0208231e1c854fb1d158c97c56ed040fc3a20584
- Size of remote file:
- 1.45 GB
- SHA256:
- 4d22e06a1a02e7cda46e120220498db30353455ed8b32ef5105bf6ec3e204c57
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