Instructions to use strangerzonehf/SD3.5-Turbo-Portrait-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/SD3.5-Turbo-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("stabilityai/stable-diffusion-3.5-large-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("strangerzonehf/SD3.5-Turbo-Portrait-LoRA") prompt = "Turbo Portrait, A close-up shot of a medium-sized young mans face and upper torso. The mans hair is a vibrant shade of brown, and his eyes are a piercing blue. His eyebrows are a light brown color, and he has a slight smile on his face. His lips are a darker shade of pink, with a slight pink tint. He is wearing a black short-sleeved t-shirt, and the background is a light gray." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 4efdbf64446365847767b2d724e22399c552053b9f7654446bf4e49f203634dc
- Size of remote file:
- 296 kB
- SHA256:
- c9504d34b69b2cb07b1a3a025ec83bf2c09e521e52d967cf30eb7f773380a32b
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