Instructions to use burhansyam/bulsut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/bulsut with Diffusers:
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", 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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