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
LoRA DreamBooth - balibell/lora_ym_p
These are LoRA adaption weights for darkstorm2150/Protogen_x5.8_Official_Release. The weights were trained on photo of gaal woman using DreamBooth. You can find some example images in the following.
- Downloads last month
- 2
Model tree for balibell/lora_ym_p
Base model
darkstorm2150/Protogen_x5.8_Official_Release


