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SachinHatikankan/
warli-sdxl-lora

Name: warli-sdxl-lora
Availability: InStock

stabilityai/stable-diffusion-xl-base-1.0

adapter

apache-2.0

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Warli Finetuning LoRA

Model


Base Model	`stabilityai/stable-diffusion-xl-base-1.0`
VAE	`madebyollin/sdxl-vae-fp16-fix`
Fine-tuning Method	LoRA (rank 16)
Task	Text-to-image · style transfer
Trigger Word	`wrli style`
Training Steps	1500
Resolution	768
License	MIT

Dataset

21 handpicked images of authentic Warli paintings, sourced respectfully and curated for consistency, white-on-brown palette, traditional stick-figure grammar, and varied subjects (dancing, farming, the tarpa dance circle). The set was kept deliberately tight and trained with a single instance prompt to bind the style cleanly to the trigger.

Training Target

The LoRA is optimised to reproduce:

White pigment figures on an earthen brown background
Geometric stick-figure anatomy (triangular torsos, circular heads)
Dense circular and concentric narrative compositions
Sun/wheel motifs and decorative borders
Clean high-contrast line-art

Usage

Prepend wrli style to your prompt. Short prompts work best — long, detailed prompts can override the style binding (see Limitations).

!pip install -q -U "torchao>=0.16.0"

python

from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
).to("cuda")
pipe.load_lora_weights("SachinHatikankan/warli-sdxl-lora")

image = pipe("wrli style, a village festival", guidance_scale=9.0).images[0]
image.save("warli.png")

Limitations

Trained with a single instance prompt, so the model has strong style binding but weak subject control. Short prompts keep the trigger dominant; long, semantically heavy prompts (e.g. named landmarks) can override the style and revert toward base-model realism.
Best suited to generic Warli-friendly subjects (people, animals, villages, activities) rather than specific named objects.
Optimised for flat line-art and not photorealism. Trained at 768px due to source image resolution constraints.