Instructions to use prithivMLmods/Castor-3D-Portrait-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Castor-3D-Portrait-Flux-LoRA 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("prithivMLmods/Castor-3D-Portrait-Flux-LoRA") prompt = "A 3D Portrait cartoon depiction of a woman with long dark brown hair and brown eyes stands in front of a window. She is wearing a gray turtleneck, with her left hand resting on her head. Her right hand is touching her face, adding a touch of warmth to the scene. The background is a stark white wall, with a window on the left side of the image." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K