---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- stable-diffusion-3.5-large-turbo
- hyper-realistic
- realism
- epic-realism
widget:
- text: >-
    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:
    url: images/222.webp
- text: >-
    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:
    url: images/000.webp
- text: >-
    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:
    url: images/444.webp
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: hyper realistic
license: creativeml-openrail-m
---
# SD3.5-4/8Step-Large-Turbo-HyperRealistic-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.**

## 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 + Prompt

![SD3.5-Large-Turbo-HyperRealistic-LoRA](images/333.webp)

| **Prompt**                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Beautiful girl standing with beautiful vally in background, age 20, black short hair, waist shot, dynamic pose, smiling, dressed in fashion outfit, beautiful eyes, sweet makeup, 35mm lens, beautiful lighting, photorealistic, soft focus, kodak portra 800, 8k. |

## 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 🧨

> [!WARNING]
> **Trigger words:**  You should use `hyper realistic` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/SD3.5-4Step-Large-Turbo-HyperRealistic-LoRA/tree/main) them in the Files & versions tab.