How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("burhansyam/lila")

prompt = "This is a high-resolution photograph of a young Asian woman sitting in a garden, captured from a slightly elevated angle, adhering to the rule of thirds for balanced composition. The subject, with fair skin and delicate features, wears a light blue, floral-patterned dress with intricate lace detailing around the neckline and sleeves. Her brown hair is styled in a loose bun with a black ribbon, adding a touch of elegance. The background features lush greenery and blooming pink roses, providing a vibrant contrast to her attire. Soft, natural lighting enhances the serene and tranquil atmosphere. "
image = pipe(prompt).images[0]

Lilandi

Prompt
This is a high-resolution photograph of a young Asian woman sitting in a garden, captured from a slightly elevated angle, adhering to the rule of thirds for balanced composition. The subject, with fair skin and delicate features, wears a light blue, floral-patterned dress with intricate lace detailing around the neckline and sleeves. Her brown hair is styled in a loose bun with a black ribbon, adding a touch of elegance. The background features lush greenery and blooming pink roses, providing a vibrant contrast to her attire. Soft, natural lighting enhances the serene and tranquil atmosphere.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
1
Inference Providers NEW
Examples

Model tree for burhansyam/lila

Adapter
(40025)
this model

Spaces using burhansyam/lila 2