Instructions to use strangerzonehf/Flux-SuperPortrait-v2-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-SuperPortrait-v2-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-SuperPortrait-v2-LoRA") prompt = "Super Portrait v2, A medium-angle shot of a young man in a gray hooded sweatshirt with the word \"Ader\" on the right side of the hoodie. The hoodie has a blue stripe on the left side and a white tag with blue letters on it. The mans head is turned to the right and he is looking to the left. His hair is dark brown and he has a slight smile on his face. He is wearing a blue t-shirt with a zipper on the front. The backdrop is a vibrant blue." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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