Instructions to use strangerzonehf/Flux-Super-Portrait-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-Super-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-Super-Portrait-LoRA") prompt = "Super Portrait, A close-up portrait of a young man with dark brown eyes and dark brown eyebrows. He is wearing a green and yellow striped polo shirt with a black collar. His earring is adorned with a silver earring. The backdrop is a light blue color." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Super-Portrait.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:34b20a5d8d514b4c1d06ffa8f6e11972879603284e160052c5a7840e4a04d425
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size 612747776
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images/ab8fe12dec3d904e5662d5daccefbd90.jpg
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Git LFS Details
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