README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- negative
- detail
- tool
- negative lora
- quality up
- improvement

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: 'painting of flowers on a table in the sun'
  output:
    url: >-
      3339543.jpeg
- text: ' '
  output:
    url: >-
      3339545.jpeg
- text: ' '
  output:
    url: >-
      3339570.jpeg
- text: ' '
  output:
    url: >-
      3339566.jpeg
- text: ' '
  output:
    url: >-
      3339563.jpeg
- text: ' '
  output:
    url: >-
      3339565.jpeg
- text: ' '
  output:
    url: >-
      3339564.jpeg
- text: ' '
  output:
    url: >-
      3339569.jpeg
- text: ' '
  output:
    url: >-
      3339568.jpeg
- text: ' '
  output:
    url: >-
      3339567.jpeg

---

# Doctor Diffusion's Negative XL LoRA 

<Gallery />





## Model description

<p>Increate the quality and amount of details with this negative XL LoRA.</p><p></p><p><strong>THIS IS MEANT TO BE USED WITH NEGATIVE STRENGHT VALUES.</strong><br /><br />An updated version my "point-e" negative embedding for use with XL.<br /><br />Keep CLIP strength at 1.0 and adjust the strength of the LoRA to preference. <br /><br />LoRA Strength can range from -0.01 to -2.00.<br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/DoctorDiffusion/doctor-diffusion-s-negative-xl-lora/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-negative-xl-lora', weight_name='DD-pnte-neg-v1.safetensors')
image = pipeline('Your custom prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co./docs/diffusers/main/en/using-diffusers/loading_adapters)