Instructions to use MouseTrap/StyleGen-Loopster-DL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MouseTrap/StyleGen-Loopster-DL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("riffusion/riffusion-model-v1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MouseTrap/StyleGen-Loopster-DL") prompt = "Loopster style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0f72b6bff7635cb6629e64c1d33b1804c487a49b4dc8eb6fabfed6bf29488aba
- Size of remote file:
- 6.59 MB
- SHA256:
- db2bac98faa7982607badf9ca40e56dca6eee904a95e3eb464efea2d1714ee66
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