README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- SD3.5-Turbo
- Realism
- 10Steps
- Fast-Diffusion
widget:
- text: >-
    Turbo Realism, High-resolution photograph, woman, UHD, photorealistic, shot
    on a Sony A7III --chaos 20 --ar 1:2 --style raw --stylize 250
  output:
    url: images/SD1.webp
- text: >-
    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
  output:
    url: images/SD2.webp
- text: >-
    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
  output:
    url: images/SD3.webp
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: Turbo Realism
license: creativeml-openrail-m
---
# SD3.5-Turbo-Realism-2.0-LoRA

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

<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-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](/prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA/tree/main) them in the Files & versions tab.