Edit model card

Khabib Sketch SDXL LoRA

A LoRA adaptation of SDXL to produce sketches of the MMA fighter and G.O.A.T Khabib.

Khabib
Sketch of Khabib fighting a Bengal Tiger

These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on sketches of Khabib by ritwikraha using DreamBooth. 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

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
khabib sketch example 1 khabib sketch example 2
Image 3 Image 4
--- ---
khabib sketch example 3 sks dog sample 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
Downloads last month
25
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using ritwikraha/khabib_sketch_LoRA 1