Instructions to use B4100/pussyspread with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/pussyspread with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/pussyspread") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 01739b57ec27c97176f545bbac932badf2069b7a0604ab4e03d232be7e259512
- Size of remote file:
- 307 MB
- SHA256:
- 56f93e8dd4df823ce1f4b94e3b8786ea1bd4911cb93453b7d92726ce86e96c22
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