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 Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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instance_prompt: Turbo Portrait
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license: creativeml-openrail-m
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---
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# SD3.5-Turbo-Portrait-LoRA
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<Gallery />
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 |
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| Network Dim | 64 | Multires Noise Iterations | 10 |
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| Network Alpha | 32 | Repeat & Steps |
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| Epoch | 20 | Save Every N Epochs | 1 |
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Labeling: florence2-en(natural language & English)
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instance_prompt: Turbo Portrait
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license: creativeml-openrail-m
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---
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# SD3.5-Turbo-Portrait-LoRA
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<Gallery />
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 |
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| Network Dim | 64 | Multires Noise Iterations | 10 |
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| Network Alpha | 32 | Repeat & Steps | 21 & 2.2K |
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| Epoch | 20 | Save Every N Epochs | 1 |
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Labeling: florence2-en(natural language & English)
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