---
title: SD3.5-Large-Turbo-HyperRealistic-LoRA
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA"
md_url: "https://www.modelscope.cn/models/prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA.md"
repository: prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA
last_updated: 2024-11-26
license: creativeml-openrail-m
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - stabilityai/stable-diffusion-3.5-large-turbo
base_model_relation: adapter
parameters: 134.8M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 1911
stars: 1
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:diffusion-lora"
  - stable-diffusion-3.5-large-turbo
  - hyper-realistic
  - realism
  - epic-realism
---

# SD3.5-Large-Turbo-HyperRealistic-LoRA

> SD3.5-Large-Turbo-HyperRealistic-LoRA - prithivMLmods 在 ModelScope 开源的模型。SD3.5-4/8Step-Large-Turbo-HyperRealistic-LoRA

prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA 是 ModelScope 魔搭社区上的 134.8M 参数text-to-image-synthesis模型，采用 creativeml-openrail-m 许可，基于 stabilityai/stable-diffusion-3.5-large-turbo 构建。

- **Repository**: prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA
- **License**: creativeml-openrail-m
- **Tasks**: text-to-image-synthesis
- **Parameters**: 134.8M
- **Base model**: stabilityai/stable-diffusion-3.5-large-turbo
- **Tags**: text-to-image, lora, diffusers, template:diffusion-lora, stable-diffusion-3.5-large-turbo, hyper-realistic, realism, epic-realism
- **Downloads**: 1911
- **Stars**: 1
- **Last updated**: 2024-11-26

Source: https://www.modelscope.cn/models/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 (Not 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-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

![prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA](images/1000.webp)

![prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA](images/1001.webp)

## 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.