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:
- 6d0170af9f462c1a1d3686767fd5f02e3c087585b7840a2d37b14bab2138b4ed
- Size of remote file:
- 3.44 GB
- SHA256:
- bf0e086cf855a13cfd61f5367c30a8a754c7157d69a2481fc34d36db0999efbb
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