Instructions to use LandonAbundre/BWSTits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LandonAbundre/BWSTits 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("LandonAbundre/BWSTits") prompt = "BWSTits, An ultra-high definition and high detailed professional portrait photograph of a blonde woman professional model. She is topless with yoga pants and the photo focuses on her face and breasts. The photo has very dramatic lighting and deep shadows. She has extremely large natural saggy breasts. The photo has sharp vivid colors. She is wearing a tasteful amount of makeup to accentuate her features. She is standing under a very bright spotlight." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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