---
language: 
- en
thumbnail: "images/evaluate/micro details, fine details, detailed.../micro details, fine details, detailed_17_3.0.png"
widget:
- text: micro details, fine details, detailed
  output:
    url: images/micro details, fine details, detailed_17_3.0.png
- text: micro details, fine details, detailed
  output:
    url: images/micro details, fine details, detailed_19_3.0.png
- text: micro details, fine details, detailed
  output:
    url: images/micro details, fine details, detailed_20_3.0.png
- text: micro details, fine details, detailed
  output:
    url: images/micro details, fine details, detailed_21_3.0.png
- text: micro details, fine details, detailed
  output:
    url: images/micro details, fine details, detailed_22_3.0.png
tags:
- text-to-image
- stable-diffusion-xl
- lora
- template:sd-lora
- template:sdxl-lora
- sdxl-sliders
- ntcai.xyz-sliders
- concept
- diffusers
license: "mit"
inference: false
instance_prompt: "micro details, fine details, detailed"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - micro details, fine details, detailed (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/micro details, fine details, detailed_17_-3.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_17_0.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_17_3.0.png" width=256 height=256 /> |
| <img src="images/micro details, fine details, detailed_19_-3.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_19_0.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_19_3.0.png" width=256 height=256 /> |
| <img src="images/micro details, fine details, detailed_20_-3.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_20_0.0.png" width=256 height=256 /> | <img src="images/micro details, fine details, detailed_20_3.0.png" width=256 height=256 /> |


## Download

Weights for this model are available in Safetensors format.

## Trigger words

You can apply this LoRA with trigger words for additional effect:

```
micro details, fine details, detailed
```

## Use in diffusers

```python
from diffusers import StableDiffusionXLPipeline
from diffusers import EulerAncestralDiscreteScheduler
import torch

pipe = StableDiffusionXLPipeline.from_single_file("https://huggingface.co/martyn/sdxl-turbo-mario-merge-top-rated/blob/main/topRatedTurboxlLCM_v10.safetensors")
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

# Load the LoRA
pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.micro-details-fine-details-detailed', weight_name='micro details, fine details, detailed.safetensors', adapter_name="micro details, fine details, detailed")

# Activate the LoRA
pipe.set_adapters(["micro details, fine details, detailed"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, micro details, fine details, detailed"
negative_prompt = "nsfw"
width = 512
height = 512
num_inference_steps = 10
guidance_scale = 2
image = pipe(prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
image.save('result.png')
```

## Support the Patreon

If you like this model please consider [joining our Patreon](https://www.patreon.com/NTCAI).

By joining our Patreon, you'll gain access to an ever-growing library of over 670+ unique and diverse LoRAs, covering a wide range of styles and genres. You'll also receive early access to new models and updates, exclusive behind-the-scenes content, and the powerful LoRA slider creator, allowing you to craft your own custom LoRAs and experiment with endless possibilities.

Your support on Patreon will allow us to continue developing and refining new models.

## Other resources

- [CivitAI](https://civitai.com/user/ntc) - Follow ntc on Civit for even more LoRAs
- [ntcai.xyz](https://ntcai.xyz) - See ntcai.xyz to find more articles and LoRAs