Instructions to use adoomy/diff_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adoomy/diff_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("adoomy/diff_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:
- 11281018ae1d8ad56d8f140bd938f61f831efe88680ec623fd5bf75566a5c48c
- Size of remote file:
- 335 MB
- SHA256:
- 9d0af75d1920dd51dfb48afd760d93f8771214de769a0aaf6db88c7961ccccaa
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