Instructions to use masterProfessortv/bashav1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use masterProfessortv/bashav1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("masterProfessortv/bashav1") prompt = "BSHAV1 , A large humanoid beetle with green exoskeleton armor, golden accents, curved black horns, and claw-like hands, in stylized 3D rendering style.A stylized 3D-rendered anthropomorphic beetle character with a large, round body and detailed textures. The beetle has dark curved horns, a wide face with chubby cheeks, and a confident expression. Its body is covered in a dark green armored suit with golden ornamental details and engravings, including a large, central medallion on the chest with tassels. The arms and legs are stubby yet muscular, with clawed hands and feet. The texture of the armor is slightly wrinkled, resembling a beetle’s exoskeleton, with gold accents throughout. The character stands upright in a proud, regal pose. Background is plain or transparent. Modeled in Pixar or DreamWorks character style." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K