Instructions to use alfredplpl/sd1-5-lcm-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alfredplpl/sd1-5-lcm-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alfredplpl/sd1-5-lcm-lora", 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:
- 06144274f815d6fe09d17aaf0da94cfe2d3b358ac2b1909357df33cad0aeef4c
- Size of remote file:
- 167 MB
- SHA256:
- 7f9eeb49c028288adfa0a8698e74fcfab49c242274a7d71dc62e00554c55c0c6
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