Instructions to use Darkpool999/trishakrishnanlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Darkpool999/trishakrishnanlora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wyyadd/sd-1.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Darkpool999/trishakrishnanlora") prompt = "a women trisha <lora:trisha_model-000010 (1):0.88> , wearing a tie, school, indoors, (soothing tones:1.25), (hdr:1.25), (artstation:1.2), dramatic, (intricate details:1.14), (hyperrealistic 3d render:1.16), (filmic:0.55), (rutkowski:1.1), (faded:1.3) " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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