prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA

SD3.5-4/8Step-Large-Turbo-HyperRealistic-LoRA

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

Prompt

Hyper Realistic, dark haired woman is standing in front of orange light, in glossy transparent plastic futuristic raincoat, short hair, volumetric lighting, cinematic angle, glamour vibrant.

Prompt

Photograph of two young men, one with short blonde hair and the other with brown hair, standing in front of mountains and wearing old West-style and tank tops, abs, fit, The image is in a vintage black-and-white photography style, in the style of Richard Avedon. --v 6. 1 --ar 113:128

Prompt

A photorealistic portrait of a 22-year-old Indian woman smiles confidently at the camera, with long, straight black hair and warm brown eyes. She wears a yet casual dress that combines comfort and style, posed in a full-body shot with her hands casually resting at her sides, showcasing a stylish watch on her left wrist. The image features high detail and quality, captured in soft, natural lighting that accentuates her approachable expression as she stands in a modern urban environment.

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-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	20 & 2.2k
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 30

Sample Image

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-Large-Turbo-HyperRealistic-LoRA", weight_name="SD3.5-4Step-Large-Turbo-HyperRealistic-LoRA.safetensors")
trigger_word = "hyper realistic"  # Specify trigger word for LoRA
pipe.fuse_lora(lora_scale=1.0))

Trigger words 🧨

Trigger words: You should use hyper realistic to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.