import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("burhansyam/bulsut")
prompt = "A cheerful young woman, bulansutena. Posing in front of a vibrant floral backdrop filled with green leaves, pink and white roses, and small flowers. The background is decorated with warm fairy lights, creating a dreamy and whimsical atmosphere. She wears a soft green top, soft green hijab, dark blue jeans, and sunglasses perched on her head. Her relaxed and natural pose conveys warmth and friendliness, with a bright smile as the focus of the image. The overall mood is lively and festive, ideal for an outdoor event or spring celebration"
image = pipe(prompt).images[0]Bulan Sutena
- Prompt
- A cheerful young woman, bulansutena. Posing in front of a vibrant floral backdrop filled with green leaves, pink and white roses, and small flowers. The background is decorated with warm fairy lights, creating a dreamy and whimsical atmosphere. She wears a soft green top, soft green hijab, dark blue jeans, and sunglasses perched on her head. Her relaxed and natural pose conveys warmth and friendliness, with a bright smile as the focus of the image. The overall mood is lively and festive, ideal for an outdoor event or spring celebration
Trigger words
You should use bulansutena to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for burhansyam/bulsut
Base model
black-forest-labs/FLUX.1-dev