Instructions to use deep1981/masimaS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deep1981/masimaS 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deep1981/masimaS") prompt = "masima, a medium close-upshot, front, her natural look, warm eyes,deep brown skin, elderly Bengali woman, traditional Bengali red saree, saree draped over her head, short-sleeved blouse, grey hair tied back, red bindi, sindoor, gold nose pin and earrings, gold thin chain, studio warm lighting, Light gray background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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