SD3.5-Turbo-Realism-2.0-LoRA

Demo space + Grid Gen Upto 3X2 : https://huggingface.co/spaces/prithivMLmods/SD3.5-TURBO-REALISM (In Use)

Prompt

Turbo Realism, High-resolution photograph, woman, UHD, photorealistic, shot on a Sony A7III --chaos 20 --ar 1:2 --style raw --stylize 250

Prompt

Turbo Realism, Headshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style rawHeadshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style rawHeadshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style raw

Prompt

Turbo Realism, A portrait of an attractive woman in her late twenties with light brown hair and purple, wearing large a a yellow sweater. She is looking directly at the camera, standing outdoors near trees.. --ar 128:85 --v 6.0 --style raw

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/SD3.5-Turbo-Realism-2.0-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	20 & 2350
Epoch	13	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 27

App File Structure

/project-root/

├── .gitattributes
├── README.md
├── app.py
├── pythonproject.py

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("prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", weight_name="SD3.5-Turbo-Realism-2.0-LoRA.safetensors")
trigger_word = "Turbo Realism"  
pipe.fuse_lora(lora_scale=1.0)

Trigger words

You should use Turbo Realism to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.