SD3.5 Large Turbo HyperRealistic LoRA

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

This project offers a LoRA model based on Stable Diffusion 3.5 Large Turbo, aiming to generate hyper - realistic images. It's currently in the training phase and may have some performance issues.

Tags

• text - to - image
• lora
• diffusers
• template:diffusion - lora
• stable - diffusion - 3.5 - large - turbo
• hyper - realistic
• realism
• epic - realism

Widget Examples

• Input: 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. Output: Image
• Input: 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 Output: Image
• Input: 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. Output: Image

Base Model

stabilityai/stable - diffusion - 3.5 - large - turbo

Instance Prompt

hyper realistic

License

creativeml - openrail - m

🚀 Quick Start

Demo space + Grid Gen Upto 3X2 : https://huggingface.co/spaces/prithivMLmods/SD3.5 - TURBO - REALISM (Not In Use)

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)

Labeling: florence2 - en(natural language & English)

Total Images Used for Training : 30