Instructions to use Andyrasika/lora_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andyrasika/lora_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Andyrasika/lora_diffusion", 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:
- 827e55f6dc40ee9dd9f5bcc669c1977af21cba50c04893ecdf74cc641aaf0b0b
- Size of remote file:
- 492 MB
- SHA256:
- faa07c65ba47cc918c692fef846d47f369ca8cd45e7a463deebfd5aa9aea2b18
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