Instructions to use nofunstudio/falportrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nofunstudio/falportrait with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nofunstudio/falportrait") prompt = "JIMMY" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Upload converted_lut.cube
Verified signature8704947 -
Upload UE5_128.CUBE
Verified signature1474016
-
Add falportrait.safetensors
Verified signaturebe37429 -
initial commit
Verified signatureb4ec0cb