Instructions to use AiAF/PossumMachine_Style_v7.0_lora_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/PossumMachine_Style_v7.0_lora_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AiAF/PossumMachine_Style_v7.0_lora_v2") 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

- Xet hash:
- 3dec278125e9ff57f94d3b6fa7fadb0a3aff15199b12a882e218e17b4925e363
- Size of remote file:
- 1.67 MB
- SHA256:
- 11975e9ef7810b388d7e024f2d03d97e77142ad2e6fb7e64b565bfe27331fb42
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.