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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'A photorealistic portrait of a young woman with short dark brown hair, wearing a grey spaghetti-strap top, standing outdoors in soft daylight. The background includes a blurred pool and greenery, creating a serene and summery atmosphere. Warm lighting highlights her natural beauty and relaxed expression.'
output:
url: images/3.webp
- text: 'Man in the style of dark beige and brown, uhd image, youthful protagonists, nonrepresentational photography'
output:
url: images/55.webp
- text: 'Black and white photography in style by Bruce Davidson, fashion editorial, dark haired woman of long exposure photography through artistic lens, highres, realistic photo, professional photography, cinematic angle, dynamic light back shining, bokeh'
output:
url: images/33.webp
base_model: stabilityai/stable-diffusion-3.5-large
instance_prompt: photorealistic
license: creativeml-openrail-m
---
# SD3.5-Large-Photorealistic-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-Photorealistic-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 & 1.5K |
| Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 40
## Setting up
```python
import torch
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Photorealistic-LoRA", weight_name="Photorealistic-SD3.5-Large-LoRA.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "Man in the style of dark beige and brown, uhd image, youthful protagonists, nonrepresentational photography"
negative_prompt = "(lowres, low quality, worst quality)"
image = pipe(prompt=prompt,
negative_prompt=negative_prompt
num_inference_steps=24,
guidance_scale=4.0,
width=960, height=1280,
).images[0]
image.save(f"example.jpg")
```
## Trigger words
You should use `photorealistic` to trigger the image generation.
You should use `photography` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/SD3.5-Large-Photorealistic-LoRA/tree/main) them in the Files & versions tab.
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