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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '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.'
output:
url: images/1.webp
- text: 'Turbo Portrait, A close-up portrait of a young Asian man with dark brown eyes and a black short-sleeved t-shirt. The mans face is angled slightly to the left, with a slight smile on his lips. His eyebrows are a dark brown, and he has dark brown eyebrows. He is standing in front of a plain white wall, and his hair is pulled back in a ponytail. His left ear is slightly bent at the elbow, while his right ear is facing the right. His upper lip is a lighter shade of pink, and the mans hair is a darker shade of brown.'
output:
url: images/2.webp
- text: 'Turbo Portrait, A close-up shot of a womans face, positioned in front of a gray backdrop. She is wearing a maroon sleeveless tank top, adorned with a pair of silver hoop earrings. Her hair is pulled back in a ponytail, framing her face. Her eyes are a piercing blue, and her lips is a vibrant shade of pink. Her eyebrows are a light brown, adding a pop of color to the scene.'
output:
url: images/3.webp
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: Turbo Portrait
license: creativeml-openrail-m
---
# SD3.5-Turbo-Portrait-LoRA
<Gallery />
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Sample Image Grid [ 3 x 2 ]
## Model description
**prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA**
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 21 & 2.2K |
| Epoch | 20 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 15
## Setting Up
```python
from diffusers import DiffusionPipeline
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
pipe = pipe.to(device)
pipe.load_lora_weights("strangerzonehf/SD3.5-Turbo-Portrait-LoRA", weight_name="SD3.5-Turbo-Portrait.safetensors")
trigger_word = "Turbo Portrait" # Specify trigger word for LoRA
pipe.fuse_lora(lora_scale=1.0))
```
## Trigger words
You should use `Turbo Portrait` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/strangerzonehf/SD3.5-Turbo-Portrait-LoRA/tree/main) them in the Files & versions tab.
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