Instructions to use Praelatus/Senapops_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Senapops_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Praelatus/Senapops_Style") prompt = "<lora:Sena_AnimaV1:1> @snppst, The image depicts a Nicole Demara in sugggestive pose., leaning forward, look at viewer, deep navel, dynamic angle, toned, mole on breast, slightly turned" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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