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---
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
## 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. |