Instructions to use strangerzonehf/Flux-Smiley-Portrait-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-Smiley-Portrait-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("strangerzonehf/Flux-Smiley-Portrait-LoRA") prompt = "smiley portrait, captured at eye-level, a close-up portrait of a young man with dark brown curly hair, smiling and giving a pose into the camera. He is wearing a blue, white, and orange soccer jersey, adorned with a patch that reads \"LORD HOME BLAND STICK RLC\" in white letters. The backdrop is a vibrant orange, adding a pop of color to the scene." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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