Instructions to use Gemneye/Shawty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Shawty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Gemneye/Shawty") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 163ee20c55c8c0a9e4b566d7371245ee6bf96736675a34ae17b473530096c5c0
- Size of remote file:
- 172 MB
- SHA256:
- 84edd182ef514718da8f4faa777cfd104ba3575e9d33cd9f0be35ed8df8a0c28
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