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---
license: cc-by-2.0
language:
- en
library_name: diffusers
tags:
- art
- code
- text-to-image
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
---
# Khabib Sketch SDXL LoRA
A LoRA adaptation of SDXL to produce sketches of the MMA fighter and G.O.A.T Khabib.
<figure>
<img src="https://i.imgur.com/eIn5oqJ.png" alt="Khabib" width="256" height="256">
<figcaption>Sketch of Khabib fighting a Bengal Tiger</figcaption>
</figure>
These are LoRA adaption weights for `stabilityai/stable-diffusion-xl-base-1.0`.
The weights were trained on sketches of Khabib by [ritwikraha](https://www.ritwikraha.com/) using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
DataSet: custom hand-drawn sketches by [ritwikraha](https://www.ritwikraha.com/)
## Usage
```
!pip install diffusers accelerate -q
import torch
from PIL import Image
from diffusers import DiffusionPipeline, AutoencoderKL
vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
pipe = DiffusionPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
vae=vae,
torch_dtype=torch.float16,
variant="fp16",
use_safetensors=True
)
pipe.load_lora_weights('ritwikraha/khabib_sketch_LoRA')
_ = pipe.to("cuda")
prompt = "a sketch of TOK khabib pointing at another khabib like the spiderman meme, monchrome, pen sketch"
negative_prompt ="ugly face, multiple bodies, bad anatomy, disfigured, extra fingers"
image = pipe(prompt=prompt,
negative_prompt=negative_prompt,
guidance_scale=3,
num_inference_steps=50).images[0]
image
```
## Examples
| Image 1 | Image 2 |
|---|---|
|  |  |
| Image 3 | Image 4 |
|---|---|
|  |  |
## Tips
- The examples are all sketches created in Procreate so prompts with words like sketch, and monochrome work best
- Use a negative prompt and guidance scale for the model
- Images at 1024X1024 will be better than other dimensions
|