Instructions to use jakeythelad/lora_output_hyenah_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jakeythelad/lora_output_hyenah_6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/portraitplus", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jakeythelad/lora_output_hyenah_6") prompt = "a photo of ahn-hye-nah" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA DreamBooth - jakeythelad/lora_output_hyenah_6
These are LoRA adaption weights for wavymulder/portraitplus. The weights were trained on a photo of ahn-hye-nah using DreamBooth. You can find some example images in the following.
- Downloads last month
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Model tree for jakeythelad/lora_output_hyenah_6
Base model
wavymulder/portraitplus


