metadata
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
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
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 them in the Files & versions tab.