Instructions to use balibell/lora_ym_p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use balibell/lora_ym_p with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darkstorm2150/Protogen_x5.8_Official_Release", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("balibell/lora_ym_p") prompt = "photo of gaal woman" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 7954b660b7672c4b2900ff54de15bc0a801b123e5553faa30b5ed9191d70af23
- Size of remote file:
- 6.59 MB
- SHA256:
- 6e3fd2a20d6855bd233d15905b0c2ee8b01ee9e2de8b6591e1867c65cc3b1f60
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