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", torch_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:
- 5b1edfb878d97eba247ec7ae4965c08add98ecb6123a64131188f15a317d7cff
- Size of remote file:
- 3.22 MB
- SHA256:
- b5b252964d3fdfe632c0a080fa488f5486f3446933c8ad25ce8b8ed34e1c1cd5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.